From 714f7319b39a5ad088cdac279c66d1333c2ee19f Mon Sep 17 00:00:00 2001 From: Jaime Salcido Date: Sun, 19 Apr 2026 11:49:11 +0100 Subject: [PATCH 01/32] Add SPkNonLinear model and related tests for baryon suppression --- camb/__init__.py | 2 +- camb/nonlinear.py | 129 ++++++++++++++++++++++++++- camb/tests/spk_test.py | 125 ++++++++++++++++++++++++++ docs/source/nonlinear.rst | 4 + fortran/Makefile_main | 2 +- fortran/SPkNonLinear.f90 | 178 ++++++++++++++++++++++++++++++++++++++ fortran/spk_model.f90 | 102 ++++++++++++++++++++++ 7 files changed, 538 insertions(+), 4 deletions(-) create mode 100644 camb/tests/spk_test.py create mode 100644 fortran/SPkNonLinear.f90 create mode 100644 fortran/spk_model.f90 diff --git a/camb/__init__.py b/camb/__init__.py index 138edc6c..960f7dad 100644 --- a/camb/__init__.py +++ b/camb/__init__.py @@ -43,6 +43,6 @@ from .initialpower import InitialPowerLaw, SplinedInitialPower from .mathutils import threej from .model import CAMBparams, TransferParams -from .nonlinear import Halofit +from .nonlinear import Halofit, SPkNonLinear from .reionization import ExpReionization, TanhReionization from .results import CAMBdata, ClTransferData, MatterTransferData diff --git a/camb/nonlinear.py b/camb/nonlinear.py index b6d17732..9abf49da 100644 --- a/camb/nonlinear.py +++ b/camb/nonlinear.py @@ -1,9 +1,10 @@ -from ctypes import POINTER, byref, c_double, c_int +import math +from ctypes import POINTER, byref, c_bool, c_double, c_int import numpy as np from numpy.ctypeslib import ndpointer -from .baseconfig import F2003Class, fortran_class, numpy_1d +from .baseconfig import AllocatableObject, CAMBValueError, F2003Class, fortran_class, numpy_1d class NonLinearModel(F2003Class): @@ -93,6 +94,130 @@ def set_params( self.HMCode_logT_AGN = HMCode_logT_AGN +@fortran_class +class SPkNonLinear(NonLinearModel): + """ + SP(k) baryon suppression model applied on top of a base non-linear model. + + The base model is evaluated first (Halofit by default), then SP(k) + suppression is applied multiplicatively as + ``sqrt(P_NL/P_L) -> sqrt(P_NL/P_L) * sqrt(SPk_suppression)``. + """ + + _fields_ = ( + ("BaseModel", AllocatableObject(NonLinearModel)), + ("SPk_feedback", c_bool, "Enable SP(k) suppression"), + ("SPk_SO", c_int, "SP(k) spherical overdensity (200 or 500)"), + ( + "SPk_relation_kind", + c_int, + "SP(k) relation kind: 1=power_law, 2=cosmo_power_law, 3=double_power_law", + ), + ("SPk_fb_a", c_double, "Power-law relation normalization"), + ("SPk_fb_pow", c_double, "Power-law relation exponent"), + ("SPk_fb_pivot", c_double, "Power-law relation pivot mass [M_sun]"), + ("SPk_alpha", c_double, "Relation alpha parameter (kinds 2/3)"), + ("SPk_beta", c_double, "Relation beta parameter (kinds 2/3)"), + ("SPk_gamma", c_double, "Relation gamma parameter (kinds 2/3)"), + ("SPk_epsilon", c_double, "Relation epsilon parameter (kind 3)"), + ("SPk_m_pivot", c_double, "Relation pivot mass [M_sun] (kind 3)"), + ) + + _fortran_class_module_ = "SPkNonLinear" + _fortran_class_name_ = "TSPkNonLinear" + + def __init__(self, **kwargs): + super().__init__() + self.BaseModel = Halofit() + self.set_params(**kwargs) + + def _validate(self): + if self.SPk_SO not in (200, 500): + raise CAMBValueError("SPk_SO must be 200 or 500") + if self.SPk_relation_kind not in (1, 2, 3): + raise CAMBValueError( + "SPk_relation_kind must be 1 (power_law), 2 (cosmo_power_law), or 3 (double_power_law)" + ) + if self.SPk_relation_kind == 1 and self.SPk_fb_pivot <= 0: + raise CAMBValueError("SPk_fb_pivot must be > 0 for power_law relation") + if self.SPk_relation_kind == 3 and self.SPk_m_pivot <= 0: + raise CAMBValueError("SPk_m_pivot must be > 0 for double_power_law relation") + + if self.SPk_feedback and isinstance(self.BaseModel, Halofit): + if isinstance(self.BaseModel.halofit_version, str): + halofit_version_int = halofit_version_names[self.BaseModel.halofit_version] + else: + halofit_version_int = int(self.BaseModel.halofit_version) + if halofit_version_int == halofit_version_names[halofit_mead2020_feedback]: + raise CAMBValueError( + "SP(k) is not compatible with halofit_version='mead2020_feedback'. " + "Use halofit_version='mead2020' (or another non-feedback option) when enabling SPk_feedback." + ) + + hmcode_2015_2016_versions = { + halofit_version_names[halofit_mead], + halofit_version_names[halofit_mead2015], + halofit_version_names[halofit_mead2016], + } + if halofit_version_int in hmcode_2015_2016_versions and ( + (not math.isclose(self.BaseModel.HMCode_A_baryon, 3.13, rel_tol=0.0, abs_tol=1e-12)) + or (not math.isclose(self.BaseModel.HMCode_eta_baryon, 0.603, rel_tol=0.0, abs_tol=1e-12)) + ): + raise CAMBValueError( + "SP(k) cannot be combined with HMCode_A_baryon/HMCode_eta_baryon baryonic corrections in HMCode 2015/2016" + ) + + def set_params( + self, + base_model=None, + SPk_feedback=False, + SPk_SO=200, + SPk_relation_kind=1, + SPk_fb_a=1.0, + SPk_fb_pow=0.0, + SPk_fb_pivot=1.0, + SPk_alpha=0.0, + SPk_beta=0.0, + SPk_gamma=0.0, + SPk_epsilon=0.0, + SPk_m_pivot=1.0, + ): + """ + Set SP(k) suppression parameters. + + :param base_model: Base non-linear model to wrap. Defaults to :class:`Halofit`. + :param SPk_feedback: Enable SP(k) suppression. + :param SPk_SO: Spherical overdensity calibration, 200 or 500. + :param SPk_relation_kind: 1=power_law, 2=cosmo_power_law, 3=double_power_law. + :param SPk_fb_a: Power-law relation normalization (kind 1). + :param SPk_fb_pow: Power-law relation exponent (kind 1). + :param SPk_fb_pivot: Power-law relation pivot mass [M_sun] (kind 1). + :param SPk_alpha: Relation alpha parameter (kinds 2/3). + :param SPk_beta: Relation beta parameter (kinds 2/3). + :param SPk_gamma: Relation gamma parameter (kinds 2/3). + :param SPk_epsilon: Relation epsilon parameter (kind 3). + :param SPk_m_pivot: Relation pivot mass [M_sun] (kind 3). + """ + if base_model is not None: + self.BaseModel = base_model + elif self.BaseModel is None: + self.BaseModel = Halofit() + + self.SPk_feedback = SPk_feedback + self.SPk_SO = SPk_SO + self.SPk_relation_kind = SPk_relation_kind + self.SPk_fb_a = SPk_fb_a + self.SPk_fb_pow = SPk_fb_pow + self.SPk_fb_pivot = SPk_fb_pivot + self.SPk_alpha = SPk_alpha + self.SPk_beta = SPk_beta + self.SPk_gamma = SPk_gamma + self.SPk_epsilon = SPk_epsilon + self.SPk_m_pivot = SPk_m_pivot + self._validate() + return self + + @fortran_class class SecondOrderPK(NonLinearModel): """ diff --git a/camb/tests/spk_test.py b/camb/tests/spk_test.py new file mode 100644 index 00000000..f311b019 --- /dev/null +++ b/camb/tests/spk_test.py @@ -0,0 +1,125 @@ +import os +import sys +import unittest + +import numpy as np + +try: + import camb +except ImportError: + sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..", ".."))) + import camb + + +def _poly2(x, c0, c1, c2): + return c2 * x * x + c1 * x + c0 + + +def _spk_params(so, z): + x = 1.0 + z + if so == 500: + return { + "a": _poly2(x, 14.783423122120318, -0.999062404857228, 0.12062854541689262), + "b": _poly2(x, 14.620528368613265, -0.9136466201011957, 0.10835389086945699), + "g": _poly2(x, 0.9671320682693298, -0.03185388045484575, 0.02650236152450093), + "lambda_a": _poly2(x, 0.019349810078190303, -0.007410668383424459, 0.0008334762393555539), + "lambda_b": _poly2(x, 2.9566773924238143, 0.6205340408676114, -0.001928273640110775), + "mu_a": _poly2(x, 0.715853343781141, -0.19276613600825665, 0.04948240117059147), + "mu_b": _poly2(x, 3.385355123440431, 0.9658906605139421, -0.06825861100375574), + "mu_c": _poly2(x, 4.457257708010122, -2.191853871334233, 0.45457701107254733), + "nu_a": _poly2(x, 478.86477329610375, 429.88795783439946, 249.25655627821902), + "nu_b": _poly2(x, -11.227459319819815, -0.5581080204509223, 0.4489962047114509), + "nu_c": _poly2(x, 3.499449440557995, -0.08488559389068073, -0.0923847866118189), + } + return { + "a": _poly2(x, 15.24311120000861, -1.2436699435560352, 0.14837558774401766), + "b": _poly2(x, 14.969187892657688, -1.0993025612653198, 0.12905587245129102), + "g": _poly2(x, 0.8000441576980428, -0.01715621131893159, 0.06131887249968379), + "lambda_a": _poly2(x, 0.02178116280689233, -0.0077564325654746955, 0.0007915576054589781), + "lambda_b": _poly2(x, 3.0878286643613437, 0.4529677646796634, 0.001552571083240605), + "mu_a": _poly2(x, 0.6930259177449359, -0.16913553700233935, 0.04263185199898842), + "mu_b": _poly2(x, 3.161914061444856, 0.8616834297321924, 0.011346427353554053), + "mu_c": _poly2(x, 5.532188503256583, -3.0864672185252537, 0.5083422518560442), + "nu_a": _poly2(x, 413.00988701513904, 311.63957063032285, 37.89105940901369), + "nu_b": _poly2(x, -11.243859405779181, -0.34421412616421965, 0.3343548325485801), + "nu_c": _poly2(x, 3.476463891168505, -0.018333059687988575, -0.08276237963970698), + } + + +def _spk_sup_power_law(kh, z, so=200, fb_a=0.4, fb_pow=0.2, fb_pivot=1e14): + p = _spk_params(so, z) + best_mass = p["a"] - (p["a"] - p["b"]) * (kh ** p["g"]) + m_opt = 10.0**best_mass + fb = fb_a * ((m_opt / fb_pivot) ** fb_pow) + + x = np.log10(kh) + x0 = 1.0 + p["lambda_a"] * np.exp(p["lambda_b"] * x) + x1 = p["mu_a"] + ((1.0 - p["mu_a"]) / (1.0 + np.exp(p["mu_b"] * x + p["mu_c"]))) + x2 = p["nu_a"] * np.exp(-0.5 * ((x - p["nu_b"]) / p["nu_c"]) ** 2) + sup = x0 - (x0 - x1) * np.exp(-x2 * fb) + return np.maximum(sup, 1e-6) + + +class SPkTest(unittest.TestCase): + def _get_pk(self, model_obj, z=0.5): + pars = camb.CAMBparams() + pars.set_cosmology(H0=67.5, ombh2=0.02237, omch2=0.12, mnu=0.06) + pars.InitPower.set_params(As=2.1e-9, ns=0.965) + pars.set_matter_power(redshifts=[z], kmax=6.0) + pars.NonLinear = camb.model.NonLinear_both + pars.NonLinearModel = model_obj + results = camb.get_results(pars) + k, _z, pk = results.get_matter_power_spectrum(minkh=1e-2, maxkh=5.0, npoints=28) + return k, pk[0] + + def test_spk_invalid_params(self): + model = camb.SPkNonLinear() + with self.assertRaises(camb.CAMBValueError): + model.set_params(SPk_SO=300) + with self.assertRaises(camb.CAMBValueError): + model.set_params(SPk_relation_kind=99) + with self.assertRaises(camb.CAMBValueError): + model.set_params(SPk_relation_kind=1, SPk_fb_pivot=0.0) + + def test_spk_disabled_matches_base(self): + base = camb.Halofit() + base.set_params(halofit_version="mead2020") + k_base, pk_base = self._get_pk(base) + + spk = camb.SPkNonLinear() + spk.BaseModel.set_params(halofit_version="mead2020") + spk.set_params(SPk_feedback=False) + k_spk, pk_spk = self._get_pk(spk) + + self.assertTrue(np.allclose(k_base, k_spk, rtol=0, atol=0)) + self.assertTrue(np.allclose(pk_base, pk_spk, rtol=2e-12, atol=1e-14)) + + def test_spk_power_law_matches_reference(self): + fb_a = 0.4 + fb_pow = 0.2 + fb_pivot = 1e14 + z = 0.5 + + base = camb.Halofit() + base.set_params(halofit_version="mead2020") + k, pk_base = self._get_pk(base, z=z) + + spk = camb.SPkNonLinear() + spk.BaseModel.set_params(halofit_version="mead2020") + spk.set_params( + SPk_feedback=True, + SPk_SO=200, + SPk_relation_kind=1, + SPk_fb_a=fb_a, + SPk_fb_pow=fb_pow, + SPk_fb_pivot=fb_pivot, + ) + _, pk_spk = self._get_pk(spk, z=z) + + expected_sup = _spk_sup_power_law(k, z, so=200, fb_a=fb_a, fb_pow=fb_pow, fb_pivot=fb_pivot) + measured_sup = pk_spk / pk_base + self.assertTrue(np.allclose(measured_sup, expected_sup, rtol=1e-5, atol=1e-8)) + + +if __name__ == "__main__": + unittest.main() diff --git a/docs/source/nonlinear.rst b/docs/source/nonlinear.rst index fe3fcd3a..4022d03e 100644 --- a/docs/source/nonlinear.rst +++ b/docs/source/nonlinear.rst @@ -8,6 +8,10 @@ Non-linear models :show-inheritance: :members: +.. autoclass:: camb.nonlinear.SPkNonLinear + :show-inheritance: + :members: + .. autoclass:: camb.nonlinear.ExternalNonLinearRatio :show-inheritance: :members: diff --git a/fortran/Makefile_main b/fortran/Makefile_main index 745c6477..aacfdf0b 100644 --- a/fortran/Makefile_main +++ b/fortran/Makefile_main @@ -5,7 +5,7 @@ POWERSPECTRUM_FILES ?= InitialPower REIONIZATION_FILES ?= reionization RECOMBINATION_FILES ?= recfast -NONLINEAR_FILES ?= halofit SecondOrderPK ExternalNonLinearRatio +NONLINEAR_FILES ?= halofit spk_model SPkNonLinear SecondOrderPK ExternalNonLinearRatio DARKENERGY_FILES ?= DarkEnergyFluid DarkEnergyPPF PowellMinimize DarkEnergyQuintessence BISPECTRUM ?= SeparableBispectrum diff --git a/fortran/SPkNonLinear.f90 b/fortran/SPkNonLinear.f90 new file mode 100644 index 00000000..c8a7ffbb --- /dev/null +++ b/fortran/SPkNonLinear.f90 @@ -0,0 +1,178 @@ +module SPkNonLinear +! Wrapper non-linear model: apply SP(k) suppression on top of a base non-linear model. +use results +use NonLinear, only: THalofit, halofit_mead, halofit_mead2015, halofit_mead2016, halofit_mead2020_feedback +use SPkModel +use config +implicit none +private + +type, extends(TNonLinearModel) :: TSPkNonLinear + class(TNonLinearModel), allocatable :: BaseModel + logical :: SPk_feedback = .false. + integer :: SPk_SO = 200 + integer :: SPk_relation_kind = SPk_rel_power_law + real(dl) :: SPk_fb_a = 1.0_dl + real(dl) :: SPk_fb_pow = 0.0_dl + real(dl) :: SPk_fb_pivot = 1.0_dl + real(dl) :: SPk_alpha = 0.0_dl + real(dl) :: SPk_beta = 0.0_dl + real(dl) :: SPk_gamma = 0.0_dl + real(dl) :: SPk_epsilon = 0.0_dl + real(dl) :: SPk_m_pivot = 1.0_dl +contains + procedure :: Init => TSPkNonLinear_Init + procedure :: ReadParams => TSPkNonLinear_ReadParams + procedure :: GetNonLinRatios => TSPkNonLinear_GetNonLinRatios + procedure, nopass :: PythonClass => TSPkNonLinear_PythonClass + procedure, nopass :: SelfPointer => TSPkNonLinear_SelfPointer + procedure, private :: ValidateConfig => TSPkNonLinear_ValidateConfig +end type TSPkNonLinear + +public TSPkNonLinear + +contains + +function TSPkNonLinear_PythonClass() +character(LEN=:), allocatable :: TSPkNonLinear_PythonClass + +TSPkNonLinear_PythonClass = 'SPkNonLinear' + +end function TSPkNonLinear_PythonClass + +subroutine TSPkNonLinear_SelfPointer(cptr, P) +use iso_c_binding +Type(c_ptr) :: cptr +Type(TSPkNonLinear), pointer :: PType +class(TPythonInterfacedClass), pointer :: P + +call c_f_pointer(cptr, PType) +P => PType + +end subroutine TSPkNonLinear_SelfPointer + +subroutine TSPkNonLinear_Init(this, State) +class(TSPkNonLinear) :: this +class(TCAMBdata), target :: State + +if (.not. allocated(this%BaseModel)) allocate(THalofit::this%BaseModel) +this%Min_kh_nonlinear = this%BaseModel%Min_kh_nonlinear +call this%BaseModel%Init(State) + +end subroutine TSPkNonLinear_Init + +subroutine TSPkNonLinear_ReadParams(this, Ini) +use IniObjects +class(TSPkNonLinear) :: this +class(TIniFile), intent(in) :: Ini + +if (.not. allocated(this%BaseModel)) allocate(THalofit::this%BaseModel) +call this%BaseModel%ReadParams(Ini) + +this%SPk_feedback = Ini%Read_Logical('SPk_feedback', .false.) +this%SPk_SO = Ini%Read_Int('SPk_SO', 200) +this%SPk_relation_kind = Ini%Read_Int('SPk_relation_kind', SPk_rel_power_law) +this%SPk_fb_a = Ini%Read_Double('SPk_fb_a', 1.0_dl) +this%SPk_fb_pow = Ini%Read_Double('SPk_fb_pow', 0.0_dl) +this%SPk_fb_pivot = Ini%Read_Double('SPk_fb_pivot', 1.0_dl) +this%SPk_alpha = Ini%Read_Double('SPk_alpha', 0.0_dl) +this%SPk_beta = Ini%Read_Double('SPk_beta', 0.0_dl) +this%SPk_gamma = Ini%Read_Double('SPk_gamma', 0.0_dl) +this%SPk_epsilon = Ini%Read_Double('SPk_epsilon', 0.0_dl) +this%SPk_m_pivot = Ini%Read_Double('SPk_m_pivot', 1.0_dl) + +end subroutine TSPkNonLinear_ReadParams + +subroutine TSPkNonLinear_ValidateConfig(this) +class(TSPkNonLinear), intent(in) :: this + +if (this%SPk_SO /= 200 .and. this%SPk_SO /= 500) then + call MpiStop('SP(k): SPk_SO must be 200 or 500') +end if +if (this%SPk_relation_kind < SPk_rel_power_law .or. this%SPk_relation_kind > SPk_rel_double_power_law) then + call MpiStop('SP(k): SPk_relation_kind must be 1 (power_law), 2 (cosmo_power_law), or 3 (double_power_law)') +end if + +if (this%SPk_relation_kind == SPk_rel_power_law) then + if (this%SPk_fb_pivot <= 0.0_dl) call MpiStop('SP(k): SPk_fb_pivot must be > 0 for power_law relation') +end if +if (this%SPk_relation_kind == SPk_rel_double_power_law) then + if (this%SPk_m_pivot <= 0.0_dl) call MpiStop('SP(k): SPk_m_pivot must be > 0 for double_power_law relation') +end if + +select type (base => this%BaseModel) +type is (THalofit) + if (this%SPk_feedback .and. base%halofit_version == halofit_mead2020_feedback) then + call MpiStop('SP(k) is not compatible with halofit_version=mead2020_feedback') + end if + if (this%SPk_feedback .and. & + (base%halofit_version == halofit_mead .or. base%halofit_version == halofit_mead2015 .or. base%halofit_version == halofit_mead2016) .and. & + (abs(base%HMcode_A_baryon - 3.13_dl) > 1e-12_dl .or. abs(base%HMcode_eta_baryon - 0.603_dl) > 1e-12_dl)) then + call MpiStop('SP(k) cannot be combined with HMCode_A_baryon/HMCode_eta_baryon baryonic corrections in HMCode 2015/2016') + end if +class default + continue +end select + +end subroutine TSPkNonLinear_ValidateConfig + +subroutine TSPkNonLinear_GetNonLinRatios(this, State, CAMB_Pk) +class(TSPkNonLinear) :: this +class(TCAMBdata) :: State +type(MatterPowerData), target :: CAMB_Pk +integer :: itf, i +real(dl) :: rk, spk_sup, spk_href, spk_eratio + +if (.not. allocated(this%BaseModel)) allocate(THalofit::this%BaseModel) + +call this%ValidateConfig() +call this%BaseModel%GetNonLinRatios(State, CAMB_Pk) + +if (.not. this%SPk_feedback) return + +select type (State) +class is (CAMBdata) + if (this%SPk_relation_kind == SPk_rel_cosmo_power_law .or. this%SPk_relation_kind == SPk_rel_double_power_law) then + spk_href = State%Hofz(0.3_dl) + else + spk_href = 1.0_dl + end if +class default + call MpiStop('SP(k): unsupported state type for Hofz evaluation') +end select + +do i = 1, CAMB_Pk%num_k + rk = exp(CAMB_Pk%log_kh(i)) + if (rk > this%Min_kh_nonlinear) then + if (rk < SPk_calibrated_k_min .or. rk > SPk_calibrated_k_max) then + call MpiStop('SP(k): k/h outside calibrated range [1e-12, 12.0]') + end if + end if +end do + +do itf = 1, CAMB_Pk%num_z + if (CAMB_Pk%redshifts(itf) < SPk_calibrated_z_min .or. CAMB_Pk%redshifts(itf) > SPk_calibrated_z_max) cycle + select type (State) + class is (CAMBdata) + if (this%SPk_relation_kind == SPk_rel_cosmo_power_law .or. this%SPk_relation_kind == SPk_rel_double_power_law) then + spk_eratio = State%Hofz(CAMB_Pk%redshifts(itf)) / spk_href + else + spk_eratio = 1.0_dl + end if + class default + call MpiStop('SP(k): unsupported state type for Hofz evaluation') + end select + do i = 1, CAMB_Pk%num_k + rk = exp(CAMB_Pk%log_kh(i)) + if (rk > this%Min_kh_nonlinear) then + spk_sup = SPk_Suppression(this%SPk_SO, rk, CAMB_Pk%redshifts(itf), this%SPk_relation_kind, & + this%SPk_fb_a, this%SPk_fb_pow, this%SPk_fb_pivot, this%SPk_alpha, this%SPk_beta, this%SPk_gamma, & + this%SPk_epsilon, this%SPk_m_pivot, spk_eratio) + CAMB_Pk%nonlin_ratio(i, itf) = CAMB_Pk%nonlin_ratio(i, itf) * sqrt(spk_sup) + end if + end do +end do + +end subroutine TSPkNonLinear_GetNonLinRatios + +end module SPkNonLinear diff --git a/fortran/spk_model.f90 b/fortran/spk_model.f90 new file mode 100644 index 00000000..193472db --- /dev/null +++ b/fortran/spk_model.f90 @@ -0,0 +1,102 @@ +module SPkModel +use precision +implicit none +private + +real(dl), parameter, public :: SPk_calibrated_z_min = 0.0_dl +real(dl), parameter, public :: SPk_calibrated_z_max = 3.0_dl +real(dl), parameter, public :: SPk_calibrated_k_min = 1e-12_dl +real(dl), parameter, public :: SPk_calibrated_k_max = 12.0_dl +real(dl), parameter, public :: SPk_min_suppression = 1e-6_dl + +integer, parameter, public :: SPk_rel_power_law = 1 +integer, parameter, public :: SPk_rel_cosmo_power_law = 2 +integer, parameter, public :: SPk_rel_double_power_law = 3 + +public :: SPk_Suppression + +contains + +pure function SPk_Poly2(x, c0, c1, c2) result(y) +real(dl), intent(in) :: x, c0, c1, c2 +real(dl) :: y + +y = c2 * x * x + c1 * x + c0 + +end function SPk_Poly2 + +pure subroutine SPk_GetParams(SO, z, spk_a_out, spk_b_out, spk_g_out, lambda_a, lambda_b, mu_a, mu_b, mu_c, nu_a, nu_b, nu_c) +integer, intent(in) :: SO +real(dl), intent(in) :: z +real(dl), intent(out) :: spk_a_out, spk_b_out, spk_g_out, lambda_a, lambda_b, mu_a, mu_b, mu_c, nu_a, nu_b, nu_c +real(dl) :: x + +x = 1.0_dl + z + +if (SO == 500) then + spk_a_out = SPk_Poly2(x, 14.783423122120318_dl, -0.999062404857228_dl, 0.12062854541689262_dl) + spk_b_out = SPk_Poly2(x, 14.620528368613265_dl, -0.9136466201011957_dl, 0.10835389086945699_dl) + spk_g_out = SPk_Poly2(x, 0.9671320682693298_dl, -0.03185388045484575_dl, 0.02650236152450093_dl) + lambda_a = SPk_Poly2(x, 0.019349810078190303_dl, -0.007410668383424459_dl, 0.0008334762393555539_dl) + lambda_b = SPk_Poly2(x, 2.9566773924238143_dl, 0.6205340408676114_dl, -0.001928273640110775_dl) + mu_a = SPk_Poly2(x, 0.715853343781141_dl, -0.19276613600825665_dl, 0.04948240117059147_dl) + mu_b = SPk_Poly2(x, 3.385355123440431_dl, 0.9658906605139421_dl, -0.06825861100375574_dl) + mu_c = SPk_Poly2(x, 4.457257708010122_dl, -2.191853871334233_dl, 0.45457701107254733_dl) + nu_a = SPk_Poly2(x, 478.86477329610375_dl, 429.88795783439946_dl, 249.25655627821902_dl) + nu_b = SPk_Poly2(x, -11.227459319819815_dl, -0.5581080204509223_dl, 0.4489962047114509_dl) + nu_c = SPk_Poly2(x, 3.499449440557995_dl, -0.08488559389068073_dl, -0.0923847866118189_dl) +else + spk_a_out = SPk_Poly2(x, 15.24311120000861_dl, -1.2436699435560352_dl, 0.14837558774401766_dl) + spk_b_out = SPk_Poly2(x, 14.969187892657688_dl, -1.0993025612653198_dl, 0.12905587245129102_dl) + spk_g_out = SPk_Poly2(x, 0.8000441576980428_dl, -0.01715621131893159_dl, 0.06131887249968379_dl) + lambda_a = SPk_Poly2(x, 0.02178116280689233_dl, -0.0077564325654746955_dl, 0.0007915576054589781_dl) + lambda_b = SPk_Poly2(x, 3.0878286643613437_dl, 0.4529677646796634_dl, 0.001552571083240605_dl) + mu_a = SPk_Poly2(x, 0.6930259177449359_dl, -0.16913553700233935_dl, 0.04263185199898842_dl) + mu_b = SPk_Poly2(x, 3.161914061444856_dl, 0.8616834297321924_dl, 0.011346427353554053_dl) + mu_c = SPk_Poly2(x, 5.532188503256583_dl, -3.0864672185252537_dl, 0.5083422518560442_dl) + nu_a = SPk_Poly2(x, 413.00988701513904_dl, 311.63957063032285_dl, 37.89105940901369_dl) + nu_b = SPk_Poly2(x, -11.243859405779181_dl, -0.34421412616421965_dl, 0.3343548325485801_dl) + nu_c = SPk_Poly2(x, 3.476463891168505_dl, -0.018333059687988575_dl, -0.08276237963970698_dl) +end if + +end subroutine SPk_GetParams + +pure function SPk_Suppression(SO, kh, z, relation_kind, fb_a, fb_pow, fb_pivot, rel_alpha, rel_beta, rel_gamma, & + rel_epsilon, rel_m_pivot, e_ratio) result(sup) +integer, intent(in) :: SO, relation_kind +real(dl), intent(in) :: kh, z, fb_a, fb_pow, fb_pivot +real(dl), intent(in) :: rel_alpha, rel_beta, rel_gamma, rel_epsilon, rel_m_pivot +real(dl), intent(in) :: e_ratio +real(dl) :: sup +real(dl) :: spk_a, spk_b, spk_g +real(dl) :: lambda_a, lambda_b, mu_a, mu_b, mu_c, nu_a, nu_b, nu_c +real(dl) :: best_mass, m_opt, fb, x, x0, x1, x2 +real(dl) :: e_ratio_eff + +call SPk_GetParams(SO, z, spk_a, spk_b, spk_g, lambda_a, lambda_b, mu_a, mu_b, mu_c, nu_a, nu_b, nu_c) + +best_mass = spk_a - (spk_a - spk_b) * (kh ** spk_g) +m_opt = 10.0_dl ** best_mass +e_ratio_eff = max(e_ratio, SPk_calibrated_k_min) + +select case (relation_kind) +case (SPk_rel_cosmo_power_law) + fb = (exp(rel_alpha) / 100.0_dl) * ((m_opt / 1.0e14_dl) ** (rel_beta - 1.0_dl)) * (e_ratio_eff ** rel_gamma) +case (SPk_rel_double_power_law) + fb = 0.5_dl * rel_epsilon * (((m_opt / rel_m_pivot) ** rel_alpha) + ((m_opt / rel_m_pivot) ** rel_beta)) * & + (e_ratio_eff ** rel_gamma) +case default + fb = fb_a * ((m_opt / fb_pivot) ** fb_pow) +end select + +x = log10(kh) +x0 = 1.0_dl + lambda_a * exp(lambda_b * x) +x1 = mu_a + ((1.0_dl - mu_a) / (1.0_dl + exp(mu_b * x + mu_c))) +x2 = nu_a * exp(-0.5_dl * ((x - nu_b) / nu_c) ** 2) + +sup = x0 - (x0 - x1) * exp(-x2 * fb) +sup = max(sup, SPk_min_suppression) + +end function SPk_Suppression + +end module SPkModel From 333e85459ac0bdb26fed3c9e447f3fe6aa23143d Mon Sep 17 00:00:00 2001 From: Jaime Salcido Date: Sun, 19 Apr 2026 11:56:42 +0100 Subject: [PATCH 02/32] Add tests for SPkNonLinear model and improve pyproject.toml formatting --- camb/tests/camb_test.py | 25 ++++++ camb/tests/spk_test.py | 176 ++++++++++++++++++++++++---------------- pyproject.toml | 46 ++++++++--- 3 files changed, 166 insertions(+), 81 deletions(-) diff --git a/camb/tests/camb_test.py b/camb/tests/camb_test.py index 2c58fb12..691cf96d 100644 --- a/camb/tests/camb_test.py +++ b/camb/tests/camb_test.py @@ -222,6 +222,31 @@ def testBackground(self): self.assertAlmostEqual(DA, bao[0][2], 3) self.assertAlmostEqual(H, bao[1][1], 3) + def testSPkNonLinearClassSelection(self): + pars = camb.CAMBparams() + pars.set_classes(non_linear_model="SPkNonLinear") + self.assertEqual(pars.NonLinearModel.__class__.__name__, "SPkNonLinear") + + pars.set_cosmology(H0=67.5, ombh2=0.02237, omch2=0.12, mnu=0.06) + pars.InitPower.set_params(As=2.1e-9, ns=0.965) + pars.set_matter_power(redshifts=[0.5], kmax=3.0) + pars.NonLinear = model.NonLinear_both + pars.NonLinearModel.BaseModel.set_params(halofit_version="mead2020") + pars.NonLinearModel.set_params( + SPk_feedback=True, + SPk_SO=200, + SPk_relation_kind=1, + SPk_fb_a=0.4, + SPk_fb_pow=0.2, + SPk_fb_pivot=1e14, + ) + + data = camb.get_results(pars) + k, z, pk = data.get_matter_power_spectrum(minkh=1e-2, maxkh=1.0, npoints=8) + self.assertEqual(len(z), 1) + self.assertTrue(np.all(np.isfinite(k))) + self.assertTrue(np.all(np.isfinite(pk))) + age2 = data.physical_time(0) self.assertAlmostEqual(age, age2, 4) diff --git a/camb/tests/spk_test.py b/camb/tests/spk_test.py index f311b019..9090c97a 100644 --- a/camb/tests/spk_test.py +++ b/camb/tests/spk_test.py @@ -10,54 +10,25 @@ sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..", ".."))) import camb +try: + import pyspk +except ImportError: + pyspk = None -def _poly2(x, c0, c1, c2): - return c2 * x * x + c1 * x + c0 - - -def _spk_params(so, z): - x = 1.0 + z - if so == 500: - return { - "a": _poly2(x, 14.783423122120318, -0.999062404857228, 0.12062854541689262), - "b": _poly2(x, 14.620528368613265, -0.9136466201011957, 0.10835389086945699), - "g": _poly2(x, 0.9671320682693298, -0.03185388045484575, 0.02650236152450093), - "lambda_a": _poly2(x, 0.019349810078190303, -0.007410668383424459, 0.0008334762393555539), - "lambda_b": _poly2(x, 2.9566773924238143, 0.6205340408676114, -0.001928273640110775), - "mu_a": _poly2(x, 0.715853343781141, -0.19276613600825665, 0.04948240117059147), - "mu_b": _poly2(x, 3.385355123440431, 0.9658906605139421, -0.06825861100375574), - "mu_c": _poly2(x, 4.457257708010122, -2.191853871334233, 0.45457701107254733), - "nu_a": _poly2(x, 478.86477329610375, 429.88795783439946, 249.25655627821902), - "nu_b": _poly2(x, -11.227459319819815, -0.5581080204509223, 0.4489962047114509), - "nu_c": _poly2(x, 3.499449440557995, -0.08488559389068073, -0.0923847866118189), - } - return { - "a": _poly2(x, 15.24311120000861, -1.2436699435560352, 0.14837558774401766), - "b": _poly2(x, 14.969187892657688, -1.0993025612653198, 0.12905587245129102), - "g": _poly2(x, 0.8000441576980428, -0.01715621131893159, 0.06131887249968379), - "lambda_a": _poly2(x, 0.02178116280689233, -0.0077564325654746955, 0.0007915576054589781), - "lambda_b": _poly2(x, 3.0878286643613437, 0.4529677646796634, 0.001552571083240605), - "mu_a": _poly2(x, 0.6930259177449359, -0.16913553700233935, 0.04263185199898842), - "mu_b": _poly2(x, 3.161914061444856, 0.8616834297321924, 0.011346427353554053), - "mu_c": _poly2(x, 5.532188503256583, -3.0864672185252537, 0.5083422518560442), - "nu_a": _poly2(x, 413.00988701513904, 311.63957063032285, 37.89105940901369), - "nu_b": _poly2(x, -11.243859405779181, -0.34421412616421965, 0.3343548325485801), - "nu_c": _poly2(x, 3.476463891168505, -0.018333059687988575, -0.08276237963970698), - } - - -def _spk_sup_power_law(kh, z, so=200, fb_a=0.4, fb_pow=0.2, fb_pivot=1e14): - p = _spk_params(so, z) - best_mass = p["a"] - (p["a"] - p["b"]) * (kh ** p["g"]) - m_opt = 10.0**best_mass - fb = fb_a * ((m_opt / fb_pivot) ** fb_pow) - - x = np.log10(kh) - x0 = 1.0 + p["lambda_a"] * np.exp(p["lambda_b"] * x) - x1 = p["mu_a"] + ((1.0 - p["mu_a"]) / (1.0 + np.exp(p["mu_b"] * x + p["mu_c"]))) - x2 = p["nu_a"] * np.exp(-0.5 * ((x - p["nu_b"]) / p["nu_c"]) ** 2) - sup = x0 - (x0 - x1) * np.exp(-x2 * fb) - return np.maximum(sup, 1e-6) + +class _CambEFunc: + def __init__(self, results): + self._results = results + self._h0 = results.Params.H0 + + def efunc(self, z): + z_arr = np.asarray(z, dtype=float) + flat = z_arr.reshape(-1) + vals = np.array([self._results.hubble_parameter(float(zz)) / self._h0 for zz in flat], dtype=float) + vals = vals.reshape(z_arr.shape) + if np.isscalar(z): + return float(vals) + return vals class SPkTest(unittest.TestCase): @@ -70,7 +41,61 @@ def _get_pk(self, model_obj, z=0.5): pars.NonLinearModel = model_obj results = camb.get_results(pars) k, _z, pk = results.get_matter_power_spectrum(minkh=1e-2, maxkh=5.0, npoints=28) - return k, pk[0] + return k, pk[0], results + + def _assert_relation_match(self, relation_kind, z=0.5, so=200, **kwargs): + base = camb.Halofit() + base.set_params(halofit_version="mead2020") + k, pk_base, results = self._get_pk(base, z=z) + + spk = camb.SPkNonLinear() + spk.BaseModel.set_params(halofit_version="mead2020") + spk.set_params(SPk_feedback=True, SPk_SO=so, SPk_relation_kind=relation_kind, **kwargs) + _, pk_spk, _ = self._get_pk(spk, z=z) + + cosmo = _CambEFunc(results) + pyspk_kwargs = { + "SO": so, + "z": z, + "k_array": k, + "errors": False, + } + if relation_kind == 1: + pyspk_kwargs.update( + { + "fb_a": kwargs["SPk_fb_a"], + "fb_pow": kwargs["SPk_fb_pow"], + "fb_pivot": kwargs["SPk_fb_pivot"], + } + ) + elif relation_kind == 2: + pyspk_kwargs.update( + { + "alpha": kwargs["SPk_alpha"], + "beta": kwargs["SPk_beta"], + "gamma": kwargs["SPk_gamma"], + "cosmo": cosmo, + } + ) + elif relation_kind == 3: + pyspk_kwargs.update( + { + "epsilon": kwargs["SPk_epsilon"], + "alpha": kwargs["SPk_alpha"], + "beta": kwargs["SPk_beta"], + "gamma": kwargs["SPk_gamma"], + "m_pivot": kwargs["SPk_m_pivot"], + "cosmo": cosmo, + } + ) + else: + raise ValueError("Unknown relation kind") + + k_ref, sup_ref = pyspk.sup_model(**pyspk_kwargs) + measured_sup = pk_spk / pk_base + + self.assertTrue(np.allclose(k_ref, k, rtol=0, atol=0)) + self.assertTrue(np.allclose(measured_sup, sup_ref, rtol=1e-5, atol=1e-8)) def test_spk_invalid_params(self): model = camb.SPkNonLinear() @@ -84,41 +109,50 @@ def test_spk_invalid_params(self): def test_spk_disabled_matches_base(self): base = camb.Halofit() base.set_params(halofit_version="mead2020") - k_base, pk_base = self._get_pk(base) + k_base, pk_base, _ = self._get_pk(base) spk = camb.SPkNonLinear() spk.BaseModel.set_params(halofit_version="mead2020") spk.set_params(SPk_feedback=False) - k_spk, pk_spk = self._get_pk(spk) + k_spk, pk_spk, _ = self._get_pk(spk) self.assertTrue(np.allclose(k_base, k_spk, rtol=0, atol=0)) self.assertTrue(np.allclose(pk_base, pk_spk, rtol=2e-12, atol=1e-14)) + @unittest.skipIf(pyspk is None, "pyspk not installed") def test_spk_power_law_matches_reference(self): - fb_a = 0.4 - fb_pow = 0.2 - fb_pivot = 1e14 - z = 0.5 - - base = camb.Halofit() - base.set_params(halofit_version="mead2020") - k, pk_base = self._get_pk(base, z=z) + self._assert_relation_match( + relation_kind=1, + z=0.5, + so=200, + SPk_fb_a=0.4, + SPk_fb_pow=0.2, + SPk_fb_pivot=1e14, + ) - spk = camb.SPkNonLinear() - spk.BaseModel.set_params(halofit_version="mead2020") - spk.set_params( - SPk_feedback=True, - SPk_SO=200, - SPk_relation_kind=1, - SPk_fb_a=fb_a, - SPk_fb_pow=fb_pow, - SPk_fb_pivot=fb_pivot, + @unittest.skipIf(pyspk is None, "pyspk not installed") + def test_spk_cosmo_power_law_matches_reference(self): + self._assert_relation_match( + relation_kind=2, + z=1.0, + so=500, + SPk_alpha=3.4, + SPk_beta=1.0, + SPk_gamma=0.15, ) - _, pk_spk = self._get_pk(spk, z=z) - expected_sup = _spk_sup_power_law(k, z, so=200, fb_a=fb_a, fb_pow=fb_pow, fb_pivot=fb_pivot) - measured_sup = pk_spk / pk_base - self.assertTrue(np.allclose(measured_sup, expected_sup, rtol=1e-5, atol=1e-8)) + @unittest.skipIf(pyspk is None, "pyspk not installed") + def test_spk_double_power_law_matches_reference(self): + self._assert_relation_match( + relation_kind=3, + z=1.5, + so=200, + SPk_epsilon=0.55, + SPk_alpha=0.2, + SPk_beta=0.9, + SPk_gamma=0.1, + SPk_m_pivot=1e14, + ) if __name__ == "__main__": diff --git a/pyproject.toml b/pyproject.toml index f70afc38..9ea34d24 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -4,9 +4,7 @@ build-backend = "setuptools.build_meta" [project] name = "camb" -authors = [ - { name = "Antony Lewis" }, -] +authors = [{ name = "Antony Lewis" }] description = "Code for Anisotropies in the Microwave Background" keywords = ['cosmology', 'CAMB', 'CMB'] readme = "docs/README_pypi.rst" @@ -26,13 +24,17 @@ classifiers = [ "Programming Language :: Python :: 3.13", "Programming Language :: Python :: 3.14", ] -dependencies = [ - "numpy>=1.22", "scipy>=1.0", "sympy>=1.0", "packaging>=24.2" -] +dependencies = ["numpy>=1.22", "scipy>=1.0", "sympy>=1.0", "packaging>=24.2"] [project.optional-dependencies] -docs = ["sphinx>=4.0", "sphinx_rtd_theme>=1.0", "sphinxcontrib-jquery", "sphinx_markdown_builder", "jupytext"] -dev = ["ruff>=0.11.0", "pre-commit>=3.0.0"] +docs = [ + "sphinx>=4.0", + "sphinx_rtd_theme>=1.0", + "sphinxcontrib-jquery", + "sphinx_markdown_builder", + "jupytext", +] +dev = ["ruff>=0.11.0", "pre-commit>=3.0.0", "pyspk>=2.0.0"] [project.scripts] camb = "camb._command_line:run_command_line" @@ -70,6 +72,30 @@ docstring-code-format = true [tool.flake8] select = [ - "E713", "E704", "E703", "E714", "E741", "E10", "E11", "E20", "E22", "E23", "E25", "E27", - "E301", "E302", "E304", "E9", "F405", "F406", "F5", "F6", "F7", "F8", "W1", "W2", "W3", "W6" + "E713", + "E704", + "E703", + "E714", + "E741", + "E10", + "E11", + "E20", + "E22", + "E23", + "E25", + "E27", + "E301", + "E302", + "E304", + "E9", + "F405", + "F406", + "F5", + "F6", + "F7", + "F8", + "W1", + "W2", + "W3", + "W6", ] From aa15499eeb6d7cb523d0029cd6dae0e6f79245ef Mon Sep 17 00:00:00 2001 From: Jaime Salcido Date: Sun, 19 Apr 2026 11:59:47 +0100 Subject: [PATCH 03/32] Refactor SPk test assertions to use adjustable tolerances and reorganize test structure --- camb/tests/camb_test.py | 56 ++++++++++++++++++++--------------------- camb/tests/spk_test.py | 8 ++++-- 2 files changed, 34 insertions(+), 30 deletions(-) diff --git a/camb/tests/camb_test.py b/camb/tests/camb_test.py index 691cf96d..4439d315 100644 --- a/camb/tests/camb_test.py +++ b/camb/tests/camb_test.py @@ -222,31 +222,6 @@ def testBackground(self): self.assertAlmostEqual(DA, bao[0][2], 3) self.assertAlmostEqual(H, bao[1][1], 3) - def testSPkNonLinearClassSelection(self): - pars = camb.CAMBparams() - pars.set_classes(non_linear_model="SPkNonLinear") - self.assertEqual(pars.NonLinearModel.__class__.__name__, "SPkNonLinear") - - pars.set_cosmology(H0=67.5, ombh2=0.02237, omch2=0.12, mnu=0.06) - pars.InitPower.set_params(As=2.1e-9, ns=0.965) - pars.set_matter_power(redshifts=[0.5], kmax=3.0) - pars.NonLinear = model.NonLinear_both - pars.NonLinearModel.BaseModel.set_params(halofit_version="mead2020") - pars.NonLinearModel.set_params( - SPk_feedback=True, - SPk_SO=200, - SPk_relation_kind=1, - SPk_fb_a=0.4, - SPk_fb_pow=0.2, - SPk_fb_pivot=1e14, - ) - - data = camb.get_results(pars) - k, z, pk = data.get_matter_power_spectrum(minkh=1e-2, maxkh=1.0, npoints=8) - self.assertEqual(len(z), 1) - self.assertTrue(np.all(np.isfinite(k))) - self.assertTrue(np.all(np.isfinite(pk))) - age2 = data.physical_time(0) self.assertAlmostEqual(age, age2, 4) @@ -273,7 +248,7 @@ def testSPkNonLinearClassSelection(self): # Test BBN consistency, base_plikHM_TT_lowTEB best fit model pars.set_cosmology(H0=67.31, ombh2=0.022242, omch2=0.11977, mnu=0.06, omk=0) - self.assertAlmostEqual(pars.YHe, 0.2458, 5) + self.assertAlmostEqual(float(pars.YHe), 0.2458, 5) data.calc_background(pars) self.assertAlmostEqual(data.cosmomc_theta(), 0.0104090741, 7) self.assertAlmostEqual(data.get_derived_params()["kd"], 0.14055, 4) @@ -281,13 +256,13 @@ def testSPkNonLinearClassSelection(self): pars.set_cosmology( H0=67.31, ombh2=0.022242, omch2=0.11977, mnu=0.06, omk=0, bbn_predictor=bbn.BBN_table_interpolator() ) - self.assertAlmostEqual(pars.YHe, 0.2458, 5) + self.assertAlmostEqual(float(pars.YHe), 0.2458, 5) self.assertAlmostEqual(pars.get_Y_p(), bbn.BBN_table_interpolator().Y_p(0.022242, 0), 5) # test massive sterile models as in Planck papers pars.set_cosmology(H0=68.0, ombh2=0.022305, omch2=0.11873, mnu=0.06, nnu=3.073, omk=0, meffsterile=0.013) self.assertAlmostEqual(pars.omnuh2, 0.00078, 5) - self.assertAlmostEqual(pars.YHe, 0.246218, 5) + self.assertAlmostEqual(float(pars.YHe), 0.246218, 5) self.assertAlmostEqual(pars.N_eff, 3.073, 4) data.calc_background(pars) @@ -984,3 +959,28 @@ def test_quintessence(self): camb.get_background(pars) results = camb.get_results(pars) self.assertAlmostEqual(results.get_derived_params()["thetastar"], 1.044341764253, delta=1e-5) + + def testSPkNonLinearClassSelection(self): + pars = camb.CAMBparams() + pars.set_classes(non_linear_model="SPkNonLinear") + self.assertEqual(pars.NonLinearModel.__class__.__name__, "SPkNonLinear") + + pars.set_cosmology(H0=67.5, ombh2=0.02237, omch2=0.12, mnu=0.06) + pars.InitPower.set_params(As=2.1e-9, ns=0.965) + pars.set_matter_power(redshifts=[0.5], kmax=3.0) + pars.NonLinear = model.NonLinear_both + pars.NonLinearModel.BaseModel.set_params(halofit_version="mead2020") + pars.NonLinearModel.set_params( + SPk_feedback=True, + SPk_SO=200, + SPk_relation_kind=1, + SPk_fb_a=0.4, + SPk_fb_pow=0.2, + SPk_fb_pivot=1e14, + ) + + data = camb.get_results(pars) + k, z, pk = data.get_matter_power_spectrum(minkh=1e-2, maxkh=1.0, npoints=8) + self.assertEqual(len(z), 1) + self.assertTrue(np.all(np.isfinite(k))) + self.assertTrue(np.all(np.isfinite(pk))) diff --git a/camb/tests/spk_test.py b/camb/tests/spk_test.py index 9090c97a..46fec30b 100644 --- a/camb/tests/spk_test.py +++ b/camb/tests/spk_test.py @@ -43,7 +43,7 @@ def _get_pk(self, model_obj, z=0.5): k, _z, pk = results.get_matter_power_spectrum(minkh=1e-2, maxkh=5.0, npoints=28) return k, pk[0], results - def _assert_relation_match(self, relation_kind, z=0.5, so=200, **kwargs): + def _assert_relation_match(self, relation_kind, z=0.5, so=200, rtol=1e-5, atol=1e-8, **kwargs): base = camb.Halofit() base.set_params(halofit_version="mead2020") k, pk_base, results = self._get_pk(base, z=z) @@ -95,7 +95,7 @@ def _assert_relation_match(self, relation_kind, z=0.5, so=200, **kwargs): measured_sup = pk_spk / pk_base self.assertTrue(np.allclose(k_ref, k, rtol=0, atol=0)) - self.assertTrue(np.allclose(measured_sup, sup_ref, rtol=1e-5, atol=1e-8)) + self.assertTrue(np.allclose(measured_sup, sup_ref, rtol=rtol, atol=atol)) def test_spk_invalid_params(self): model = camb.SPkNonLinear() @@ -136,6 +136,8 @@ def test_spk_cosmo_power_law_matches_reference(self): relation_kind=2, z=1.0, so=500, + rtol=1e-3, + atol=1e-6, SPk_alpha=3.4, SPk_beta=1.0, SPk_gamma=0.15, @@ -147,6 +149,8 @@ def test_spk_double_power_law_matches_reference(self): relation_kind=3, z=1.5, so=200, + rtol=1e-3, + atol=1e-6, SPk_epsilon=0.55, SPk_alpha=0.2, SPk_beta=0.9, From fedfdb0d1e6dbc4a2f860817359ef5a1c0425846 Mon Sep 17 00:00:00 2001 From: Jaime Salcido Date: Sun, 19 Apr 2026 12:04:10 +0100 Subject: [PATCH 04/32] Refactor SPkNonLinear to streamline k/h calibration checks in suppression calculations --- fortran/SPkNonLinear.f90 | 10 +--------- 1 file changed, 1 insertion(+), 9 deletions(-) diff --git a/fortran/SPkNonLinear.f90 b/fortran/SPkNonLinear.f90 index c8a7ffbb..9facf47f 100644 --- a/fortran/SPkNonLinear.f90 +++ b/fortran/SPkNonLinear.f90 @@ -141,15 +141,6 @@ subroutine TSPkNonLinear_GetNonLinRatios(this, State, CAMB_Pk) call MpiStop('SP(k): unsupported state type for Hofz evaluation') end select -do i = 1, CAMB_Pk%num_k - rk = exp(CAMB_Pk%log_kh(i)) - if (rk > this%Min_kh_nonlinear) then - if (rk < SPk_calibrated_k_min .or. rk > SPk_calibrated_k_max) then - call MpiStop('SP(k): k/h outside calibrated range [1e-12, 12.0]') - end if - end if -end do - do itf = 1, CAMB_Pk%num_z if (CAMB_Pk%redshifts(itf) < SPk_calibrated_z_min .or. CAMB_Pk%redshifts(itf) > SPk_calibrated_z_max) cycle select type (State) @@ -165,6 +156,7 @@ subroutine TSPkNonLinear_GetNonLinRatios(this, State, CAMB_Pk) do i = 1, CAMB_Pk%num_k rk = exp(CAMB_Pk%log_kh(i)) if (rk > this%Min_kh_nonlinear) then + if (rk < SPk_calibrated_k_min .or. rk > SPk_calibrated_k_max) cycle spk_sup = SPk_Suppression(this%SPk_SO, rk, CAMB_Pk%redshifts(itf), this%SPk_relation_kind, & this%SPk_fb_a, this%SPk_fb_pow, this%SPk_fb_pivot, this%SPk_alpha, this%SPk_beta, this%SPk_gamma, & this%SPk_epsilon, this%SPk_m_pivot, spk_eratio) From 905dfa133bbeb3aaab85bd8c6f0fe359b992ac6a Mon Sep 17 00:00:00 2001 From: Jaime Salcido Date: Sun, 19 Apr 2026 12:39:15 +0100 Subject: [PATCH 05/32] Refactor SPk suppression calculations to improve handling of calibrated k limits --- fortran/SPkNonLinear.f90 | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/fortran/SPkNonLinear.f90 b/fortran/SPkNonLinear.f90 index 9facf47f..ae617798 100644 --- a/fortran/SPkNonLinear.f90 +++ b/fortran/SPkNonLinear.f90 @@ -156,9 +156,10 @@ subroutine TSPkNonLinear_GetNonLinRatios(this, State, CAMB_Pk) do i = 1, CAMB_Pk%num_k rk = exp(CAMB_Pk%log_kh(i)) if (rk > this%Min_kh_nonlinear) then - if (rk < SPk_calibrated_k_min .or. rk > SPk_calibrated_k_max) cycle - spk_sup = SPk_Suppression(this%SPk_SO, rk, CAMB_Pk%redshifts(itf), this%SPk_relation_kind, & - this%SPk_fb_a, this%SPk_fb_pow, this%SPk_fb_pivot, this%SPk_alpha, this%SPk_beta, this%SPk_gamma, & + if (rk < SPk_calibrated_k_min) cycle + spk_sup = SPk_Suppression(this%SPk_SO, min(rk, SPk_calibrated_k_max), CAMB_Pk%redshifts(itf), & + this%SPk_relation_kind, this%SPk_fb_a, this%SPk_fb_pow, this%SPk_fb_pivot, & + this%SPk_alpha, this%SPk_beta, this%SPk_gamma, & this%SPk_epsilon, this%SPk_m_pivot, spk_eratio) CAMB_Pk%nonlin_ratio(i, itf) = CAMB_Pk%nonlin_ratio(i, itf) * sqrt(spk_sup) end if From a4b791039b60efcca0cf82735befeade9b78e5eb Mon Sep 17 00:00:00 2001 From: Jaime Salcido Date: Sun, 19 Apr 2026 12:44:42 +0100 Subject: [PATCH 06/32] Add Fortran linter include paths for improved linting support --- .vscode/settings.json | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/.vscode/settings.json b/.vscode/settings.json index efcf0467..8dd25021 100644 --- a/.vscode/settings.json +++ b/.vscode/settings.json @@ -116,4 +116,8 @@ }, "python-envs.defaultEnvManager": "ms-python.python:venv", "python-envs.defaultPackageManager": "ms-python.python:pip", + "fortran.linter.includePaths": [ + "${workspaceFolder}/fortran/Releaselib", + "${workspaceFolder}/forutils/Releaselib" + ] } From 8eb4ece4a04490f93db90bd33e835cdeb330c8a6 Mon Sep 17 00:00:00 2001 From: Jaime Salcido Date: Sun, 19 Apr 2026 13:09:30 +0100 Subject: [PATCH 07/32] feat(spk): track SP(k) demo notebook and tighten pyspk regression coverage unignore and add SPk_demo.ipynb to the repo add an end-to-end SP(k) demo comparing CAMB vs pyspk with relative-error diagnostics make SP(k) unit references more stable with dense transfer sampling (k_per_logint=100) tighten relation-match tolerances to 1e-6 / 1e-9 add a high-k boundary continuity regression test (k <= 12) to prevent cutoff artifacts --- .gitignore | 1 + camb/tests/spk_test.py | 56 +++++++- docs/SPk_demo.ipynb | 309 +++++++++++++++++++++++++++++++++++++++++ 3 files changed, 361 insertions(+), 5 deletions(-) create mode 100644 docs/SPk_demo.ipynb diff --git a/.gitignore b/.gitignore index e84f6796..a96d2ae3 100644 --- a/.gitignore +++ b/.gitignore @@ -42,6 +42,7 @@ testfile* *.ipynb !CAMBdemo.ipynb !ScalEqs.ipynb +!docs/SPk_demo.ipynb *.dll *.a *.o diff --git a/camb/tests/spk_test.py b/camb/tests/spk_test.py index 46fec30b..34967227 100644 --- a/camb/tests/spk_test.py +++ b/camb/tests/spk_test.py @@ -36,13 +36,25 @@ def _get_pk(self, model_obj, z=0.5): pars = camb.CAMBparams() pars.set_cosmology(H0=67.5, ombh2=0.02237, omch2=0.12, mnu=0.06) pars.InitPower.set_params(As=2.1e-9, ns=0.965) - pars.set_matter_power(redshifts=[z], kmax=6.0) + # Use dense transfer sampling to reduce interpolation noise in reference comparisons. + pars.set_matter_power(redshifts=[z], kmax=6.0, k_per_logint=100) pars.NonLinear = camb.model.NonLinear_both pars.NonLinearModel = model_obj results = camb.get_results(pars) k, _z, pk = results.get_matter_power_spectrum(minkh=1e-2, maxkh=5.0, npoints=28) return k, pk[0], results + def _get_pk_range(self, model_obj, z=0.125, kmax=12.0, npoints=400): + pars = camb.CAMBparams() + pars.set_cosmology(H0=67.5, ombh2=0.02237, omch2=0.12, mnu=0.06) + pars.InitPower.set_params(As=2.1e-9, ns=0.965) + pars.set_matter_power(redshifts=[z], kmax=kmax, k_per_logint=100) + pars.NonLinear = camb.model.NonLinear_both + pars.NonLinearModel = model_obj + results = camb.get_results(pars) + k, _z, pk = results.get_matter_power_spectrum(minkh=1e-4, maxkh=kmax, npoints=npoints) + return k, pk[0], results + def _assert_relation_match(self, relation_kind, z=0.5, so=200, rtol=1e-5, atol=1e-8, **kwargs): base = camb.Halofit() base.set_params(halofit_version="mead2020") @@ -125,6 +137,8 @@ def test_spk_power_law_matches_reference(self): relation_kind=1, z=0.5, so=200, + rtol=1e-6, + atol=1e-9, SPk_fb_a=0.4, SPk_fb_pow=0.2, SPk_fb_pivot=1e14, @@ -136,8 +150,8 @@ def test_spk_cosmo_power_law_matches_reference(self): relation_kind=2, z=1.0, so=500, - rtol=1e-3, - atol=1e-6, + rtol=1e-6, + atol=1e-9, SPk_alpha=3.4, SPk_beta=1.0, SPk_gamma=0.15, @@ -149,8 +163,8 @@ def test_spk_double_power_law_matches_reference(self): relation_kind=3, z=1.5, so=200, - rtol=1e-3, - atol=1e-6, + rtol=1e-6, + atol=1e-9, SPk_epsilon=0.55, SPk_alpha=0.2, SPk_beta=0.9, @@ -158,6 +172,38 @@ def test_spk_double_power_law_matches_reference(self): SPk_m_pivot=1e14, ) + @unittest.skipIf(pyspk is None, "pyspk not installed") + def test_spk_high_k_boundary_continuity(self): + base = camb.Halofit() + base.set_params(halofit_version="mead2020") + k, pk_base, _ = self._get_pk_range(base, z=0.125, kmax=12.0, npoints=400) + + spk = camb.SPkNonLinear() + spk.BaseModel.set_params(halofit_version="mead2020") + spk.set_params( + SPk_feedback=True, + SPk_SO=200, + SPk_relation_kind=1, + SPk_fb_a=0.4, + SPk_fb_pow=0.3, + SPk_fb_pivot=1e14, + ) + _, pk_spk, _ = self._get_pk_range(spk, z=0.125, kmax=12.0, npoints=400) + + _, sup_ref = pyspk.sup_model( + SO=200, + z=0.125, + fb_a=0.4, + fb_pow=0.3, + fb_pivot=1e14, + k_array=k, + errors=False, + ) + measured_sup = pk_spk / pk_base + rel = np.abs(measured_sup / sup_ref - 1.0) + + self.assertLess(float(np.max(rel[k <= 12.0])), 1e-3) + if __name__ == "__main__": unittest.main() diff --git a/docs/SPk_demo.ipynb b/docs/SPk_demo.ipynb new file mode 100644 index 00000000..f0d7fbac --- /dev/null +++ b/docs/SPk_demo.ipynb @@ -0,0 +1,309 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "2c84399d", + "metadata": {}, + "source": [ + "# SP(k) Baryon Suppression Demo\n", + "\n", + "Compare the non-linear matter power spectrum with and without SP(k), then verify against `pyspk`.\n", + "\n", + "Note: SP(k) should not be combined with HMCode baryon-feedback models (e.g. `halofit_version='mead2020_feedback'`)." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "b82be437", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Using CAMB 1.6.7 installed at /Users/jaimesalcido/CAMB/camb\n", + "Using pyspk 2.0.0\n" + ] + } + ], + "source": [ + "%matplotlib inline\n", + "%config InlineBackend.figure_format = 'retina'\n", + "\n", + "import os\n", + "import warnings\n", + "\n", + "import numpy as np\n", + "import pyspk\n", + "from matplotlib import pyplot as plt\n", + "\n", + "import camb\n", + "from camb import model\n", + "\n", + "warnings.filterwarnings('ignore')\n", + "\n", + "print(f\"Using CAMB {camb.__version__} installed at {os.path.dirname(camb.__file__)}\")\n", + "print(f\"Using pyspk {pyspk.__version__}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "e37d95d6", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "redshifts: [0. 0.125 1. ]\n", + "k_per_logint: 100\n" + ] + } + ], + "source": [ + "# Cosmology + k/z sampling\n", + "minkh, maxkh, npoints = 1e-4, 12.0, 400\n", + "z_samples = [0.0, 0.125, 1.0]\n", + "\n", + "# Important for high-k SP(k) validation: dense transfer k sampling avoids interpolation artifacts.\n", + "k_per_logint = 100\n", + "\n", + "# Baseline non-linear model (HMCode, no SPk)\n", + "pars_base = camb.set_params(H0=67.5, ombh2=0.022, omch2=0.122, As=2e-9, ns=0.965)\n", + "pars_base.set_matter_power(redshifts=z_samples, kmax=maxkh, k_per_logint=k_per_logint, silent=True)\n", + "pars_base.NonLinear = model.NonLinear_both\n", + "pars_base.NonLinearModel = camb.Halofit()\n", + "pars_base.NonLinearModel.set_params(halofit_version='mead2020')\n", + "\n", + "results_base = camb.get_results(pars_base)\n", + "kh0, z0, pk0 = results_base.get_matter_power_spectrum(minkh=minkh, maxkh=maxkh, npoints=npoints)\n", + "\n", + "# SP(k) on top of the same base model\n", + "pars_spk = camb.set_params(H0=67.5, ombh2=0.022, omch2=0.122, As=2e-9, ns=0.965)\n", + "pars_spk.set_matter_power(redshifts=z_samples, kmax=maxkh, k_per_logint=k_per_logint, silent=True)\n", + "pars_spk.NonLinear = model.NonLinear_both\n", + "\n", + "spk_model = camb.SPkNonLinear()\n", + "spk_model.BaseModel.set_params(halofit_version='mead2020')\n", + "spk_model.set_params(\n", + " SPk_feedback=True,\n", + " SPk_SO=200,\n", + " SPk_relation_kind=1,\n", + " SPk_fb_a=0.4,\n", + " SPk_fb_pow=0.3,\n", + " SPk_fb_pivot=1e14,\n", + ")\n", + "pars_spk.NonLinearModel = spk_model\n", + "\n", + "results_spk = camb.get_results(pars_spk)\n", + "kh1, z1, pk1 = results_spk.get_matter_power_spectrum(minkh=minkh, maxkh=maxkh, npoints=npoints)\n", + "\n", + "assert np.allclose(kh0, kh1)\n", + "assert np.allclose(z0, z1)\n", + "z = np.array(z0)\n", + "print('redshifts:', z)\n", + "print('k_per_logint:', k_per_logint)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "942282a9", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": { + "image/png": { + "height": 385, + "width": 1189 + } + }, + "output_type": "display_data" + } + ], + "source": [ + "# Plot non-linear vs non-linear+SP(k)\n", + "from matplotlib.lines import Line2D\n", + "\n", + "fig, ax = plt.subplots(1, 2, figsize=(12, 4))\n", + "linestyles = ['-', '--', ':', '-.']\n", + "\n", + "for i, redshift in enumerate(z):\n", + " ls = linestyles[i % len(linestyles)]\n", + " ax[0].loglog(kh0, pk0[i, :], color='C3', ls=ls)\n", + " ax[0].loglog(kh1, pk1[i, :], color='C0', ls=ls)\n", + "ax[0].set_xlabel('k/h Mpc')\n", + "ax[0].set_ylabel('P(k) [(Mpc/h)^3]')\n", + "ax[0].set_title('Non-linear matter power')\n", + "\n", + "model_handles = [\n", + " Line2D([], [], color='C3', lw=2, label='non-linear'),\n", + " Line2D([], [], color='C0', lw=2, label='non-linear + SP(k)'),\n", + "]\n", + "redshift_handles = [\n", + " Line2D([], [], color='k', lw=2, ls=linestyles[i % len(linestyles)], label=f'z={float(redshift):g}')\n", + " for i, redshift in enumerate(z)\n", + "]\n", + "leg_model = ax[0].legend(handles=model_handles, loc='lower left')\n", + "ax[0].add_artist(leg_model)\n", + "ax[0].legend(handles=redshift_handles, title='Redshift', loc='upper right')\n", + "\n", + "for i, redshift in enumerate(z):\n", + " ls = linestyles[i % len(linestyles)]\n", + " ax[1].semilogx(kh0, pk1[i, :] / pk0[i, :], ls=ls, label=f'z={float(redshift):g}')\n", + "ax[1].axhline(1.0, color='k', lw=1)\n", + "ax[1].set_xlabel('k/h Mpc')\n", + "ax[1].set_ylabel('P_nl(SPk) / P_nl')\n", + "ax[1].set_title('Suppression ratio')\n", + "ax[1].legend(loc='lower left')\n", + "\n", + "plt.tight_layout()" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "69a98f59", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Max relative error between CAMB SP(k) and pyspk:\n", + "z=0: k<=8 -> 4.41e-06, k<=12 -> 4.32e-05\n", + "z=0.125: k<=8 -> 3.66e-06, k<=12 -> 3.48e-05\n", + "z=1: k<=8 -> 9.76e-07, k<=12 -> 9.76e-07\n" + ] + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": { + "image/png": { + "height": 701, + "width": 875 + } + }, + "output_type": "display_data" + } + ], + "source": [ + "# Verify suppression factor against pyspk and show implementation error\n", + "pyspk_sup_list = []\n", + "for redshift in z:\n", + " k_pyspk, sup_pyspk = pyspk.sup_model(\n", + " SO=200,\n", + " z=float(redshift),\n", + " fb_a=0.4,\n", + " fb_pow=0.3,\n", + " fb_pivot=1e14,\n", + " k_array=kh0,\n", + " errors=False,\n", + " verbose=False,\n", + " )\n", + " assert np.allclose(k_pyspk, kh0)\n", + " pyspk_sup_list.append(sup_pyspk)\n", + "\n", + "k_compare_max = 12.0\n", + "mask_plot = kh0 <= k_compare_max\n", + "\n", + "fig2, (ax2, ax3) = plt.subplots(\n", + " 2, 1, figsize=(10, 8), sharex=True,\n", + " gridspec_kw={\"height_ratios\": [3, 1], \"hspace\": 0.12},\n", + ")\n", + "colors = ['C0', 'C1', 'C2']\n", + "\n", + "for i, redshift in enumerate(z):\n", + " color = colors[i % len(colors)]\n", + " camb_sup = pk1[i, :] / pk0[i, :]\n", + " py_sup = pyspk_sup_list[i]\n", + " valid = mask_plot & np.isfinite(camb_sup) & np.isfinite(py_sup) & (np.abs(py_sup) > 1e-30)\n", + "\n", + " ax2.semilogx(\n", + " kh0[valid], camb_sup[valid], color=color, ls='-', lw=2,\n", + " label=f'CAMB SP(k), z={float(redshift):g}'\n", + " )\n", + " ax2.semilogx(\n", + " kh0[valid], py_sup[valid], color='k', ls=':', lw=1.5, alpha=0.8,\n", + " label='pyspk' if i == 0 else None\n", + " )\n", + "\n", + " ratio_err = camb_sup[valid] / py_sup[valid] - 1.0\n", + " ax3.semilogx(kh0[valid], ratio_err, color=color, ls='-', lw=1.8, label=f'z={float(redshift):g}')\n", + "\n", + "ax2.axhline(1.0, color='k', lw=1, alpha=0.4)\n", + "ax2.set_ylabel('Suppression factor')\n", + "ax2.set_title('SP(k) suppression: CAMB vs pyspk')\n", + "ax2.legend(loc='lower left', ncol=2, fontsize=9)\n", + "\n", + "ax3.axhline(0.0, color='k', lw=1, alpha=0.5)\n", + "ax3.set_xlabel('k/h Mpc')\n", + "ax3.set_ylabel('CAMB/pyspk - 1')\n", + "ax3.set_ylim(-0.01, 0.01)\n", + "ax3.set_title('Relative error (±1%)')\n", + "\n", + "# Reference marker: pyspk Nyquist limit\n", + "ax2.axvline(8.0, color='gray', lw=1, ls='--', alpha=0.6)\n", + "ax3.axvline(8.0, color='gray', lw=1, ls='--', alpha=0.6)\n", + "ax2.text(\n", + " 8.0 * 0.5, 0.98, 'pyspk k_Ny~8', color='gray', fontsize=9,\n", + " bbox=dict(facecolor='white', edgecolor='gray', alpha=0.8, boxstyle='round,pad=0.2')\n", + ")\n", + "\n", + "plt.tight_layout()\n", + "\n", + "print('Max relative error between CAMB SP(k) and pyspk:')\n", + "for i, redshift in enumerate(z):\n", + " camb_sup = pk1[i, :] / pk0[i, :]\n", + " py_sup = pyspk_sup_list[i]\n", + " valid8 = (kh0 <= 8.0) & np.isfinite(camb_sup) & np.isfinite(py_sup) & (np.abs(py_sup) > 1e-30)\n", + " valid12 = (kh0 <= 12.0) & np.isfinite(camb_sup) & np.isfinite(py_sup) & (np.abs(py_sup) > 1e-30)\n", + " rel8 = np.max(np.abs(camb_sup[valid8] / py_sup[valid8] - 1.0))\n", + " rel12 = np.max(np.abs(camb_sup[valid12] / py_sup[valid12] - 1.0))\n", + " print(f'z={float(redshift):g}: k<=8 -> {rel8:.2e}, k<=12 -> {rel12:.2e}')\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6df1e08d", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.13.7" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} From dda7ef87bc849fb41737ae8baf22bd6a1b090add Mon Sep 17 00:00:00 2001 From: Jaime Salcido Date: Sun, 19 Apr 2026 17:20:20 +0100 Subject: [PATCH 08/32] Add warnings for SP(k) calculations outside calibrated ranges - Introduced warnings for redshift values outside the calibrated range, notifying users when SP(k) calculations are skipped. - Added clamping warnings for input k values exceeding the calibrated maximum, ensuring users are informed when values are adjusted. - Implemented logical flags to prevent repeated warnings during execution. --- camb/tests/spk_test.py | 70 ++++++++++++++++++++++++++++++++------ docs/SPk_demo.ipynb | 72 ++++++++++++++++++++++++++-------------- fortran/SPkNonLinear.f90 | 18 +++++++++- 3 files changed, 124 insertions(+), 36 deletions(-) diff --git a/camb/tests/spk_test.py b/camb/tests/spk_test.py index 34967227..802bf14d 100644 --- a/camb/tests/spk_test.py +++ b/camb/tests/spk_test.py @@ -1,6 +1,8 @@ import os import sys +import tempfile import unittest +import warnings import numpy as np @@ -32,6 +34,20 @@ def efunc(self, z): class SPkTest(unittest.TestCase): + def _capture_c_stdout(self, call): + saved_fd = os.dup(1) + try: + with tempfile.TemporaryFile(mode="w+b") as tmp: + os.dup2(tmp.fileno(), 1) + call() + tmp.flush() + tmp.seek(0) + out = tmp.read().decode("utf-8", errors="replace") + finally: + os.dup2(saved_fd, 1) + os.close(saved_fd) + return out + def _get_pk(self, model_obj, z=0.5): pars = camb.CAMBparams() pars.set_cosmology(H0=67.5, ombh2=0.02237, omch2=0.12, mnu=0.06) @@ -190,19 +206,53 @@ def test_spk_high_k_boundary_continuity(self): ) _, pk_spk, _ = self._get_pk_range(spk, z=0.125, kmax=12.0, npoints=400) - _, sup_ref = pyspk.sup_model( - SO=200, - z=0.125, - fb_a=0.4, - fb_pow=0.3, - fb_pivot=1e14, - k_array=k, - errors=False, - ) + with warnings.catch_warnings(): + warnings.filterwarnings( + "ignore", + message=r"Scales with k_max > k_ny = 8\.0 \[h/Mpc\] may not be accurately reproduced by the model\.", + category=UserWarning, + ) + _, sup_ref = pyspk.sup_model( + SO=200, + z=0.125, + fb_a=0.4, + fb_pow=0.3, + fb_pivot=1e14, + k_array=k, + errors=False, + ) measured_sup = pk_spk / pk_base rel = np.abs(measured_sup / sup_ref - 1.0) - self.assertLess(float(np.max(rel[k <= 12.0])), 1e-3) + self.assertLess(float(np.max(rel[k <= 12.0])), 1e-4) + + def test_spk_out_of_range_warnings(self): + pars = camb.CAMBparams() + pars.set_cosmology(H0=67.5, ombh2=0.02237, omch2=0.12, mnu=0.06) + pars.InitPower.set_params(As=2.1e-9, ns=0.965) + pars.set_matter_power(redshifts=[4.0, 1.0], kmax=20.0, k_per_logint=100) + pars.NonLinear = camb.model.NonLinear_both + + spk = camb.SPkNonLinear() + spk.BaseModel.set_params(halofit_version="mead2020") + spk.set_params( + SPk_feedback=True, + SPk_SO=200, + SPk_relation_kind=1, + SPk_fb_a=0.4, + SPk_fb_pow=0.3, + SPk_fb_pivot=1e14, + ) + pars.NonLinearModel = spk + + camb.set_feedback_level(1) + try: + output = self._capture_c_stdout(lambda: camb.get_results(pars)) + finally: + camb.set_feedback_level(0) + + self.assertIn("WARNING: SP(k) skipped outside calibrated redshift range.", output) + self.assertIn("WARNING: SP(k) input k exceeds calibrated range; clamping to k_max=", output) if __name__ == "__main__": diff --git a/docs/SPk_demo.ipynb b/docs/SPk_demo.ipynb index f0d7fbac..77febcb5 100644 --- a/docs/SPk_demo.ipynb +++ b/docs/SPk_demo.ipynb @@ -7,9 +7,15 @@ "source": [ "# SP(k) Baryon Suppression Demo\n", "\n", - "Compare the non-linear matter power spectrum with and without SP(k), then verify against `pyspk`.\n", + "This notebook compares non-linear matter power with and without SP(k), then validates the SP(k) suppression curve against `pyspk`.\n", "\n", - "Note: SP(k) should not be combined with HMCode baryon-feedback models (e.g. `halofit_version='mead2020_feedback'`)." + "## What this notebook does\n", + "1. Build a baseline non-linear model (`mead2020`) and an SP(k)-enabled model with the same cosmology.\n", + "2. Plot the full spectra and the suppression ratio.\n", + "3. Compare CAMB SP(k) vs `pyspk` suppression and show relative error.\n", + "\n", + "## Notes\n", + "- SP(k) should not be combined with HMCode baryon-feedback models (e.g. `halofit_version='mead2020_feedback'`)." ] }, { @@ -58,7 +64,7 @@ "output_type": "stream", "text": [ "redshifts: [0. 0.125 1. ]\n", - "k_per_logint: 100\n" + "k_per_logint: 50\n" ] } ], @@ -67,8 +73,7 @@ "minkh, maxkh, npoints = 1e-4, 12.0, 400\n", "z_samples = [0.0, 0.125, 1.0]\n", "\n", - "# Important for high-k SP(k) validation: dense transfer k sampling avoids interpolation artifacts.\n", - "k_per_logint = 100\n", + "k_per_logint = 50\n", "\n", "# Baseline non-linear model (HMCode, no SPk)\n", "pars_base = camb.set_params(H0=67.5, ombh2=0.022, omch2=0.122, As=2e-9, ns=0.965)\n", @@ -115,7 +120,7 @@ "outputs": [ { "data": { - "image/png": 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" ] @@ -168,6 +173,18 @@ "plt.tight_layout()" ] }, + { + "cell_type": "markdown", + "id": "b3b2d97c", + "metadata": {}, + "source": [ + "## Interpreting the validation plot\n", + "\n", + "- Top panel: suppression factor from CAMB SP(k) and `pyspk` (should overlap closely).\n", + "- Bottom panel: relative error, defined as `CAMB / pyspk - 1`, shown on a ±1% axis.\n", + "- Vertical dashed line at `k=8 h/Mpc`: approximate `pyspk` Nyquist reference." + ] + }, { "cell_type": "code", "execution_count": 4, @@ -179,14 +196,14 @@ "output_type": "stream", "text": [ "Max relative error between CAMB SP(k) and pyspk:\n", - "z=0: k<=8 -> 4.41e-06, k<=12 -> 4.32e-05\n", - "z=0.125: k<=8 -> 3.66e-06, k<=12 -> 3.48e-05\n", - "z=1: k<=8 -> 9.76e-07, k<=12 -> 9.76e-07\n" + "z=0: k<=8 -> 4.41e-06, k<=12 -> 1.05e-04\n", + "z=0.125: k<=8 -> 3.66e-06, k<=12 -> 8.42e-05\n", + "z=1: k<=8 -> 9.76e-07, k<=12 -> 1.52e-06\n" ] }, { "data": { - "image/png": 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csKOPPrpa7XdU7+XfraL4Lf+DGd8i9JRP6pLk/A9yOPH2C09/xtvfZWjClYsxCa3jAqWffC6XM9dOpJJS8W3jQ8oqJnRIiFi20ObqCv61qz2ONA+M9RNcii2+TXzEEocJHRNCSjI5bdPDt7V5oULKT7WKizi/TGKXxJB5YKxUVaQ57WxeEiuBGGjbPC7iXDQ2z1FwqSpb10hzW9lcMlaeyM+2V6R5a2welZLhoaXvbN+FbbtLE6XttXWOGNu/kebVs7lcguecshJRkebDsbmhgueysgsbkebgs3JTKf23jhnOr5EjzJ1jpZSC5+ezwFxyr/DBdtu/TXps7ccuREWa289+CV3+s0Sat8t+GV5+XjHbNuGCa3acl5/T0NYh3EUx+5V3+ePK9o8FQMMF18of27bNIp33TomuoB+o2zx8kc57m88quASZHaeRyoHZuRB83id2TYx43lvb4Hma7DiLdN7bdvAUbz3n7PiNdN7b2BNc/tXOi0jnve2LsvyykMeRzvuE9gnO8RZ43DohYkkyG3uC55y09Y90LtuYG3ze2/JtWWHbdkkMKV9n40mk8972U9P1W+dwsm0Qaf67pJ5JIfM92fFh3xuRxhObHyq4pF6kc9mO1+Dz3o6bSOeynTPB55gdj5Hm1bNya8m9k0PGk0jnso0nwetnY0Skc9n2b/B45y9fFo4dYyHb3qWI8/VZed3y+9/mzQqblVLirXAMOm0jjBHlz4Pk/slhy8PZGFH+XLRtHmmMsH0VnJVi2zfSGGHHgFOq0N+2V3LEfxvEpMWEjBE2Jkc6723sCS4hafsxUnlBm5sz+N8GNn5HOu9t7AkZIzonRjzv7dwNPu9tn0c6723sCT7vbTyJdN7ba3YcB97bJl6J7RMj/rsn+Ly35Uc67+0cDy5jaVk8kb7DbTyx+SADbZvHRfwOt6BF8Pxxtm8inff2fRJ83tj+jXQu2/MpfYPO+5SYiOeyjSfB3+/uJu6Q9wazMTV4/ew4j3Qu2z4LOe/jXBHPZSvxGvwdbj9MiDSvnv2bI/hYsfM90jyd1jYm9e9zxg5jn5Q+IvxceXbs2g91nNPT/vh8zlyAkeZns7kInWCYtfdumTcw7ByORZ4tJdEto9vOZ8+WuUXDfYfb2BM8j66xeUXDfS9bX8Fz2jltBzeNeB7ZXHnBWffWNtLxbvMPB8cf0/ZMi3hcWunp4H9z2L8zbW7jSPPHWslxO26sfGWzfZqFtG0W00ztkts5t/Yp7dUxtaO6pHVxbu2T2yvGHX78AwAAjcuXX37JnGs7qIyMDF1xxRV12ifBtZ1ccPDJDrDBgwdHlTVWfu4z6+enn35yAmebN29Ws2bNquynVatW1ZpvDTXz9vm/selqoXwpHP39uMLzdSB8l0GldSJN4FaTZUW5EnXxOSvvo9zyavkZq3x3mHWp6RKj2zQRGlVzu0a9XSrpN5o+fMdUY6UCbcP3W5fHa20/Yz2crhE7r/XnjmJl/cuom88V3fLqbBNG8/l8VoasrhZYyXKieKb6nUY6HyKtQzWWeWSUy7OnDo3cTYV3jI9+FXRQ+XdXsv4H/d0imp15YITnw713XNXdBZZZnfnHnbZ/n1tRtS23zGosKuR93gjl9aJ5bzWWGvyviZovMLr3lh8Va6OqRTrjk0039/e44fVYOXSPUw7R57G/Hnk9VvfaJ6+3TN69rf5xmVMyfcvzXnl9ZX8HpjzOr5Sdx2298vW2mtKev4NQ9p4tj7e8t+zvZZTJ16xMvsGl8nk9kqdELm+ZfAWlcvms/1LnsTxlcvnKLAIldSyW21Mqt7dUbp9Hsatscr2/X/eVya0yxfrK5CkrVWaSrY+tgz3v1W6ripw425ZYm0see6sFn4p8+sxdphKvSyU+nzwul87csMGZ/syJn7lcgfetyvPqoeJSJ2vOyTRzu/R/2ZtU5rIly3lvmcsqPLqUWezT630SJQvS2c0tHVlWKF+uy2lb6rTdcr/QsuVPaLNlrkC5ZMUyesR75SstVZHLpRKXS8V/36x9m6PbbCk//PctEEgsv4+9PufHM045Syt1WeyNOPewCQ6+m0g//DHl51yO9MMfp+3fc69a/8Xri0PmljObizc7t/mb5mv9B+udAK0F7e2W2itVPbv3dAJtXdO6qlvTburVrJd6NOvhzAsHAACA7RPBtZ1cv379Avf//PPPStv6X4+NjVWvXr0q9PPOO+8E2g0bNixsH2VlZVqyZIlzv2/fvrVef6C+Vcgy+vsxU6ADAACgPlgAr8TjVVGpR0Wl/r9lKiwpUWlhvkqKClRWXKDS4gIVFxWotKhAQ/vnq6y4UN7SQpWVFGpxSb7cpfmKKc1XbGm+4j0FSvAUqFNZju7bZaPcZYVyeUoU4y3RkNwSJbi2Zlj6ZeR4tfrPEmUX+5RT7FNhqU83t20SNgt/aZZXx78VOg/au+ckKy5M9tzGIp8OfKdQsmy0WJd8cW492ipfKckxTvDNAnEWkLP7BW6X7m0bq7I4t1JS3UpOjVFXV4nc+WXKj09SflyiCmJile+S8n0etT2urRMAs6xVy9KLlAXrzI0XlNlqImXXmuBsVRMpY9YUrSxSycYSaenWbMa/Wvylv7L/CmlnJTRb+Vqpb4e+2qXlLuqV3ku903s7ATi3K3IAEQAAAI0DwbWd3JAhQxQfH+/MlTZlyhRdd911YdvZ69OnTw+8Jy4utLzH3nvvHbhv/UQKrv3yyy+BspAjR46sw08CAAAAANs/t9ulRHeMEuPCBXta1apvj9envOIy5RSWanNBqbILS/VlYYly8wuUn7tZpXmbVZqfJV/BJnmbblTXg9fInb9BCSVZaqY8felNVFNXvtKVq+auXDVXrtwunxJjpeP7x2ljgU+bCi04qLCBNbMxzyuXlX7/u1qpNRvqjlNMUKlnPwvq/W/Klv9/zPv79shxTdQ9PXzwadoGn1r36KkmPQYop2UP5TRtr+yUVsqWR9kl2cou3nrLejBLG7I2aP3G9cralLWl5HUYVvKyfEZcpOCaZTpa6eFg8S3jI2Ze/vr8r5q2ZprTxspiWhnLVj1bqV+Lfurfsr8GtBigAS0HOOUmwwU1AQAAsO0QXNvJ2VxpY8eO1WeffaavvvrKKQ0Zbp6yd999Vzk5Oc79o446qsLr++67r5o2bars7Gy99NJL+te//hX2H/8vvvhi4H64fgAAAAAA9SPG7VLTpDjn1ql59YJym/JLlJlfrMy8Es3PK9bGvBJl5uaraPN6lWxeo5K0JVL2CnUqXKdWMXl619NELZWt1q7Nau/KVJqrIBBMG9U5VuvyvVqbZ4E5l7Ne4azMLpdd5pY6pYVvW+Lx6crP8uXx/qa0hDnapYVbN41O0JBUt5TeVeo4ZMut8z5S212l2K1BL4/Xo6ziLGUWZiqzKHPL38JMbSzc6Dxe98g6rVy7UqtWr1L+pvyIGXHeQm/InNH+uQsjBeJK1pc4ZTGL1xY7t+Q+ycorzdOMtTOcm1/zxOYa0HyA9my3p/Zss6cTfItzh+8XAAAADYPg2g7OgllnnXWWc//mm2/WLbfcUqHNNddc4wTXrGTjJZdc4gTSYmK2/kpy48aNuvbaa537NpfaueeeW6EPy367/PLL9d///lfz58/Xvffeq3/+858hbaZNm6bnnnvOuT969GgnAw4AAAAA0LhZ8KtVaoJzq0pBSZnWZhc5t9XZRZqTXej83ZyVKU/WSnkKFqjpgHka5Fun9u5NahNfrGXeOLVzZVYoT5mREzrxXuem7ogZcVaa0uPdmvH282qPmib83TZr2Zbb3Lf+/kAJyk3vr9Sew6XOQxXTZaRaJrdUy6SWlX42C4jZ3Gpr8tdoTd4arc5fHXJ/tXu1Co4tUGlmqXOzudcizSdnr5XPiEtoH377birapFdufEUTkycqqUuSmnZvqmGDhmlop6FOsG3XVrsqIYb5zAEAABoSwbVGbOrUqVq8eHFIkMvPng/OAjNnnnlmjZaz33776cQTT9Trr7+uDz/8UAcccICuvPJKtW/fXnPnztXtt9+uFStWOG3vuusupaenh+3HgmlvvPGGFi5c6GSu2Tpav0lJSfr22291xx13OAE8e/zggw/WaF0BAAAAAI1Xk/hYdW+V4twiBagsC25ZZoGWZ+brt8wCfZiZr+Ub81SQmaH0olXq4l6rrq51at/id9190DLFqUwb8j2KrWQqsgUbQwNVnZq6lRwfPhC3PqdQ45/4Tl2bTdXubWO0Zzu3xg7dVfE9R0td95a6jJSSW1R4n1VnSU9Md26WPRZOQWmBVuSu0PKc5YHbspxlWpa9TDklW6rBmNKNpRXmfItUbtJT4FHJhhJpg1S4rFCbpmxSia9EP2f+7Lwe747XkLZDtHeHvTWq4yh1SesSeUMBAICIxowZw9ZB1AiuNWLPPvusU2IxnB9++MG51UVwzTz//PNO2cdPP/3UCYTZLZjb7dZNN92k888/v9ISk5988onGjx+vRYsW6emnn3ZuwdLS0vTqq69q9913r/G6AgAAAAC2TxagapGS4Nz27FLxh5vZBaVavilff23M16J1efpzzWbNW/SXClfMUa/Ezfq1NEa9XKvU071KvVwZau7K+zuoJaUmuJRbvCXbrXfzyJG4ueu2BOKWbfY6t88Wu7R/9/nSpj+lGU9tadRmgNRtH6nn/luCbXGJUX2+JnFN1Kd5H+cWLgNtcdZiLdq8SIt6LdK8AfP0x8I/lLN6S9At0rxqxauLQ7dhrEsJHbdmqpV4S/TD6h+c210/36VWZa20/4D9nWCbBd2SYpOiWncAAHZ2sbGESxA9jhY4LJvMAmOvvfaakxH322+/afPmzWrTpo1GjRqlSy+9VMOHD69ya/Xs2VOzZs3SY489prfeesvJXispKVGnTp2coNsVV1yhLl34FR0AAAAAoKKmTeI0sEkzDezYLOjZoSoqPU5LNuQ5AbcF63L1xeoczVuVLeVv0C7uleqZ8qnOG/6n2icWy1NWqvSk8IEqM3e9J+Txbm3ClJtc97tzy/r2MS3KidPuw8covs+BUq8DtszhVgM2d9pe7fZybn5en1er8lZp4aaFmpc5T79v/F2/Z/6u3JLcQJuiVUUh/SR2SJQ7QhpfaVappj00TTNbzNQjPR9R012aatyocTq4x8Ea3XG0E/wDAABA7bl8VpMB2EFkZGQ4gTyzcuVKdezYcVuvEgAAAACgHtjljHU5xZq3Olu/r8rR3IxNmvn7AmX+NU8DWsdo9+ZF2tW1VHu4F6u3K0Nu15bLHxd8VKiZa7YG2C4eEq+z94gPu4x355fqju+LlRTn0pD2Mdq/e4zGD+8v9Ron9T1c6jjESr3U+edambsyEGibuXymfp31q/KW5aloWZGa9G6i5vs2D/ve7J+zteGTDYHH7ji3uv6zq9zxbmdetlEdRunArgdqn477EGgDAAA7jYx6iBsQXMMOheAaAAAAAOzc1mYXadaKLP3q3DZr7qpsxZflaaB7qXZ3LVbv1R+phTtfKzd7NHO1R+cMilO/VjFh+7pmUpEmLysLPB7XI1Z3jA0qEZnaTup7mNTvCKnzcMkdvp/aKiwr1JwNc/TLul/0y9pfNHfjXBV7QstFmjUT1yh/QX7gcUr/FLU9rm2Fdokxic78bId2P9T5G+eOq5f1BgBge7J06VKVlpYqLi5O3bt339arg0YeN6AsJAAAAAAA2GG0bZqog3dt59xMcZlHf6zO0czlWZq2JFPPbBqkrOXz1Tl3rkYkL9Wi1G5q5VuqVq7skH5KPT7NWBVaQnLvzuWCZ7lrpBlPO7fcmBZK2e0wufofuWW+tjoMtNm8aUPbDXVupsRT4mS2/bT2J01dNVVzN8yV1+tVyfqSkPdZcC2cIk+R3vngHU1cM1GdR3TWSSNP0lG9jlKXNKZxAADsvJYsWaKioiIlJiYSXEOVyFzDDoXMNQAAAABAZTxenxNsm740U1MXrtUvK3KUX1KmHq7VGuaer+HuPzTS/buK8nJ03dfF+mODR/4JNSadlqzmEeZzu/TTQq3M8Wn/brE6ZI926j7mVGm3k6XWfep9h2wu2qwfV/+o71Z+p69++Upr5q1R4dJCtTulnVMSMpxVz69S4YrCwDxu6fuma99R++roXkdr/877KzE2KEMPAICdwJdffhkIrh1wwAHbenVQhygLCWyDkwQAAAAAsOMq83id0pGTF2zQ5IUbNCdjs1w+r/qs+1wjNr6rEa2LVFRUrGWbfc78bOHkFPt0wIR8ebxbn7PykVZGUu12l3Y/WRpwrJTcot4/j9fn1R+Zf+jbld9q0rJJWpazrEKbspwyLX9guTO/m1+bo9sodWCqcz81PlVH9DhCp/Y7VR1SOtT7OgMA0BgQXNtxZTDnGtDwJwkAAAAAYOeRmVes7xZt0Dd/rNOX02Zqw+I5Sls7U+O6SYcOSNO+7t+U6tqS8eX30YJS3Tpl6xxo8TEufX5qE6UlBGW5uWOlXgdKg8+SeoyV3OEzyuqSBc8WZi3UF8u+0KTlk7Q8Z7nz/Obpm7Xx842BdjGJMepydRe540LXKcYVo3FdxumM/meof8v+9b6+AABsSwTXdlwZzLkGAAAAAABQf1qkJOioPTo6N89JgzRrRZY+/32tPpm9Ul/klSlepU7ZyPHun3RAzEw1c+Vr1tqglDVJ+3SJCQ2sGW+ZtOATlc3/WOtjO6r92AulPU6VmjSvt8/icrm0S/NdnNtle1wWCLS9W/KuPPke5c7KVVlemVIGplQIrBmPz6NPFn+i1994XfseuK/O3fNc7d1hb7ld9R8YBAAAaMyYcw07FDLXAAAAAAD1lQU2b3WOPvt9jT77fa2WbshXrMqcOdrGrHxauyRs1C8Zpfp0cZn+b1SCRnWJDdvPN3+V6dqvirR3p1gdNzBZww46Qe6h50od9mywHWelI39a85Pe/vNtffTNR3I1dym+RYSSlzNztP6j9XInuNV0cFMN3H+gLhh5gQ7tcaji3HENts4AANQ3Mtd2XBmUhQQa/iQBAAAAAKB8oG3R+jx9PGeN3v91peZN/kAlf/2sfdNW6eSehTq8h0fJMZ6wG+3Cjwv1y+qtrx3QPVZ37p8otR8kDb9E6nekFBM+MFcfsoqy9PHSj/Xuone1ePPikNd8Xp9WPr5SJRtLAs816dFE7U9rr44pHXXBbhfo0O6HKtZKXgIAsJ0juLbjyiC4BjT8SQIAAAAAQGWBtl9XZOmdmRl656vp2rBwptoPGqND4n7R0THfa6j7z0Dbv7K8Ou6tgpD3/3dMgg7uFZQB1qyLNOKyLSUj45Ia9HPM3ThXE/+cqM//+lxlvjLlL8jXmolrQtq1P7W9mvRsEnjcObWzLtn9Eh3U7SDKRQIAtmsE13ZcGQTXgIY/SQAAAAAAiEZxmUff/rlB783K0Dd/rlepx6fOrnVOkO2EmMmav2y9bp1SrPwSn9M+PcmlT05uoviYcvOzmSYtpaEXSnudKyWlN+gOWJu/Vq/Nf00vT3lZGV9lqGBBgRN8i28dr04XdXLmciuvX4t++see/9CwdsMadF0BAKgrBNd2XBkE14CGP0kAAAAAAKiuzLxivT0zQ6/NWKHlmQWKkUcjlzyuk5J/VmFhod76o9SZd+2SvcLPdVZY6nMCcccOTNWeh58vl2WzpbVr0B2RV5Kndxa9o2e/e1aLvlmkxC6JSt01NWxbb4lXOb/k6MAjDtQNI25Q92bdG3RdAQCorRkzZqikpETx8fHaa6+92KA7kAyCa0DDnyQAAAAAANSU1+vTD0s26tXpK/ThF18rd95kdSuar/P6FujkXcrUIqEs7Pve+L1U9/xY7Nzv3zpG5w9J1ohjLpJr1NVScosG3SGl3lJNWjZJz859tsK8bH6bpmzSpm83KTYtVq3HtdZ5x56ni/e4WGnxaQ26rgAAAOURXAOqQHANAAAAANBYrcsp0hs/r9Tzn/2k5T9/qda7j9ExKXN0Tsyn6uHeOrdZmdeno94o1Jpcb+C5XdvE6PnDE+VKSJWGXSyNuFRKbNqg6+/1eTVp+SQ9OftJLcleEnjek+/R8oeWO9lrfs2GNlOvI3s5pSKP7Hlk2FKSAAAADYHgGrANThIAAAAAAOpSSZlXn8xdrWe++0t/rMmRW14d4P5FF8V+pN3dS/TF4jLd+E1RyHueOCRJQzrEbH0isZk08gpp6AVSfHKD7iCP16PPl32uR2Y9olV5q7Th0w3KnpEd0qbjeR2V2CHRub9nmz3172H/plQkAADYJgiuAdvgJAEAAAAAoD74fD79uCRTT3+3VFMWbrBnNMw9X2cUvKzcVUv0ypxSrc71anD7GD15aFL4TpJbSaOvlfY8S4qJbdAdVeIp0ZsL3tQDnz2gvz7+S4XLCp3n0/ZIU+sjWoe0jXXH6uwBZ+uCgRcoPib8PHMAgOjl5+dr9erVKioqcr5PgB2By+VSYmKiOnTooCZNmtRZvwTXgG1wkgAAAAAAUN8WrM3Vs98v1fuzV2n9Ny+qd+4MXTUwX8m+fPVs7la/VkFZa0EKSn16/OcSnTm2n1oee6/UY78G31m5Jbl66ren9OS7T2rjtxvV7rR2ik0JH+jr0bSHbtv7Ng1oOaDB1xMAdgQbNmzQtGnTtG7dOoJqdaygoEBer1dut7tOAzuoWZCtbdu2GjFihFq0qP1cswTXgG1wkgAAAAAA0FBWby7U498u1kvvfqZNv36qXr7luu3gljo0dWHY9o/OKNGLs0vUJM6ls/eI08lHH6r4Q/4ntejR4DttWfYy3TXjLk1dPTVim83TNyuuSZwuP/lyXbz7xWSxAUA1A2uffvqpiouL2W71wOPxBO7HxIT/UQsaVmJiog455JBaB9gIrgHb4CQBAAAAAGBbBdle/uArudr00q7uv3RN7FvaN+a3QJtVOV4d+1ahSj1by4EdsUucbhqTsmUuttH/khKbNvi6T1k5Rbf/dLvW5K8Jeb54XbEynsqQz+tT8i7JGnbaMD0w/gH1Su/V4OsIANsbK/04ceJE5eXlOY/T0tLUs2dPNWvWzMm0Qu2Rubbteb1eZWVlafHixcrNzQ0c6yeccIKTzVZTBNeAbXCSAAAAAACwrazJLtQTk5fo9RkrVeLxaojrT10T96aGuv/UTd8U6bPFZYG2MW7pjWObqGuzvy+yNmkp7X+ztPupUgNfeC0oLdATvz2hCX9MkMfnkc/jU8azGSpeszXbIiY5Rj0v76l/jfqXTupzUq0umgHAjs7KQH7wwQfO/VatWunQQw9VXFzctl6tHUpOTk6gLKQFdLDtlJSU6KOPPlJmZqbz+KijjnKO+8YUNyCkDQAAAAAA0Ei1a5qk/xwxQFP+ta9O2quzZqqPTii5SaeXXKvxA1vq8F3i5I9JndA/bmtgzRRslD68THrpUGnjogZd7yZxTXT14Kv1+qGvq2/zvspfkB8SWDOpA1LlSfDozhl36tJvLtWmok0Nuo4AsD1Zvnx54H7//v0JrGGHFh8fr379+gUer1ixQo0NwTUAAAAAAIDtIMh259G7atI/9tH+fdtqSmk/HfBpa2XGtNDDBzfRPl1ide6g+PBvXv6DPI8Nl6bcLZWVNOh692neR68e8qr+dfK/1OGEDk62mklonaDmBzQPtPsu4zsd99FxmrV+VoOuHwBsL/Lz8wP3a5PBA2wvWrduHVKys7EhuAYAAAAAALCd6Nk6Vc+eMVhvXDRK+1z0P03wHaKjvmmn7h1aqEn8lsBVOHd9l6frbrxJG+8bJq34qUHXOc4dp4t2u0if/OsT7XfDfkrpl6LWx7aWOzb0stT6gvU6+/Oz9dK8l5y5hQAAW1m5Qr/Y2NidftNs3rxZt956q3Oz+3Xpiy++cPp9//33d/rtvC3FxGz9d43H41Fjw1kIAAAAAACwnRnWvYU+uWacPh63q/771lTdtnSJ3i9prptiX9HomDkhbX9d49G780ud+9OfmKMrft1PR5x6gdwH3CwlNm2wdd6l+S56+4S39VCvh/TyHy+HbVPmK9P/Jv9PM1fN1J1j7lRyXHKDrR8AAA1t9uzZgbn0zPnnn6927dpFbG9BP3PEEUdo9913V2NXWFioGTNmaOHChc78aaWlpU7Jx5YtW6p3797aa6+9lJCQoO0RmWsAAAAAAADbIZfLpcN2a6/vbzlGt1xwvFbHddEZpdfqnJKrleFr6bQp8fh0+/db5zrLK/Hp/unFyvzuGemxYdKSbxt0neNj4vXPIf/UU/s/pZZJW9YxmLfMq7WvrdWE2ybo+NeP18qclQ26fgAAbEtff/31DrMD1qxZo8cee0yTJ0/W6tWrVVxc7MwVWFRUpIyMDH3zzTfO6xs2bND2iOAaAAAAAADAdiwhNkYXju6hr68erUMHttfX3j01rvhuPVd2sBZv8imrMLTE4sWD49Uq2S3lrpYmHCl9dq1UWtig6zyiwwi9c/g7GtF+RMjzmZMyVbS6SEUri/Tdvd/p8KcO17TV0xp03QAA2FaWLFmiv/76a4coY/rWW285cwUmJibq6KOP1o033qjrrrvO+XvkkUc6GWu5ubl65513tD0iuAYAAAAAALADaNc0SY+ePEivnjtU7Vu31H/LTtNVhWfr1rGpOrjnlplB+rWK0QkDys0S8tOT0lOjpdWzG3R9myc21+NjH9fFu18sl1zK/T1X2TOyA6+X5ZRp6RtLdeGkCzXxz4kNum4AgJ2PBXssEOR2b5uwiZVJNF999dV2P/foihUrlJWV5dw/8MADteuuuwbmCrS/u+22m8aNG+c8XrdunTZu3KjtDXOuAQAAAAAA7EBG9mypTy8fpRd++Et3vbpMh37fT5d0+Uv3jstWh1SX3C5XxTdtXCA9O1ba93pp5JVSTMNcMopxx+ii3S7Sbq120+WbLtempptUmr1lfjhXrEutj24tr8urO366Qxm5Gbp68NVyu/itOACE8+KLL2r58uUaPXq0Ro0apWnTpmnu3LlOkCMmJkbt27fXsGHD1KtXr5D3WWDDyvOZc889Vx06dIi4gd977z3NmTNHXbp00Zlnnhkyt9b06dOdubU2bdqksrIyJSUlKTk5WZ06dVK/fv3UvXv3sPOHnXHGGc4cXN99950WLVrkZDNZkMva77PPPs5r1WVze1lG1IIFC5z1OPnkk9WxY8dK3+Of+8u2VVXZZW+++aZKSkqcINHhhx9eJwG5sWPHOp/fSij+8ccf6t+/f1Tvq4v9V9fy8vIC9+24Cyd4PW1bbm/41wgAAAAAAMAOJj7WrQtG99AP95ytY/95r57yHaWLprXVmsQeEd8zY2Wxbr7pRuU9OU7atLRB19fKQ3543ocac+0YJXVJcp5rfXhrJXZIDLR5+Y+XdfXkq1VY1rAlLAFge+PxePTyyy8783dZ4MWCRTbP1dKlS/Xaa685c2AFs+CVBVvMzJkzI/ZrATQL+pg999wz8HxOTo6eeuopJzi2du1aJ7AVHx+vgoICrV+/3unTXovEgn/2/p9//tkJytj6WjlBCwza84sXL67W57f1nDBhghNYa9q0qc4+++wqA2vRssCUbUMLBo0cOdIpb1hXmW6tW7fWwIEDnfvffvutU1oxGrXdf/UhPT09cN+CheGsWrXK+WvzsNUkgLqtkbkGAAAAAACwA5eKfPasYTp6cFdd/8ooneFO1mmlX+qG2NeU6NqSIWZyin26ZXKx1ud7NfOh7/WfP4Zq0IVPSLse22Dr2j6lvSYeO1H/1/r/9P5X7yu5T3KFNl+t+Errv1ivR8c+qvTErRfuAABbWZDKMscOOeQQ7b777k4ZvuzsbE2aNMkJrkyZMkXt2rXTLrvsEnjP4MGDnay333//3Snj58/iKh9Y8mek9e3bN/C8Beus/2bNmumwww5T165dnYCTBYcs8GbBsc2bN0fcRV988YWTqXbqqac62Woul8sJvHz44YdOcO7tt9/WxRdfrLS0tCp3s63HK6+84gQVLVhlfaamptbJ4fHjjz/qyy+/dO7bNrIswLo2ZswYZx9kZmbq119/dfZLNGqz/+pD+/btnZsF1mz/WsDUlmnHoq3DvHnznOPR7L///k4wdntD5hoAAAAAAMAOzC5SHjKwnSbffLSO2L2jXvYcqENK7tAcb7dAm7umbgmsmbV5Xl34/ib98siZ0sdXSaVFDbauTeKa6L797tN1J10Xsc2cjXN0+qena23+2gZbLwDYnhQXFzuBNQu4+Oe5sgyuY489NpDhZFltwSzwYSUcLevMMsbCsWCPsVKI/n7NypUrnb/77befExzzZ3LZXwu42XpYACUSC7accsop6tGjh/Od5S8ZePrppzuBIPs833//fZWf2wJxzz//vBNYs8951llnVSuwZvOchZvrzJ6zAJEF1ixIdMwxx9RLYM2/n4YMGeLctyCo7Y9o1Gb/1UWmZHm2H48//ngnwGZZk++++65uv/123XXXXc7f999/X61atdIJJ5ygvfbaS9sjgmsAAAAAAAA7gebJ8XrwxD303BmDlZfaXUeX3KqHyo7Sqlyfpq4MvTC2W5sY7dHWLf3ynPS8lYn8q8HW0y7InT/wfN2zzz2Kc8dVeL14TbG+v+d7HTfhOP2V3XDrBQDbC8vwsoy1cOOrzcVmNmzYoHXr1gVes6DRHnvsERKECZaRkeEEr8KVFLSss/LzbFWHzcdmgZbyLFjkX5ZlOlXGsrZeeOEFJ1POAk2WseZfr2jZXG+W+RYc0LLAkQWGbD45y66yudsGDBig+mT7yDLPbHvacqNRm/3nZ5mGs2fP1quvvqqHH35YTz75pD744AOnnGi4oKOx+fVs/rlIgULbD7vuumvgOQu0+VlpTSv/ub2iLCQAAAAAAMBOZGzfNprUtbnu/HS+Hvj5OH1d1F53jXtcL8ws0Mw1HqUnuXT72ATFuLdkD2jNb9JTo6UjH5f6Htpg63lQt4PUuklrXf7t5couznaeK8ks0epXVsuT79GsR2fpuMLj9NLpL6l/i/4Ntl4A0NhZWUZ/Blh5ltHlL9loJfvatGkTeM2CLj/88IPWrFnj3Kx0pJ9/Li97f/n5sXr37u0Eb7766isna8yCW506dQpbmjCcbt26Vfra1KlTnfnCbG624Lm8/ObPn69vvvnGyYCzLLnx48dH/PzVYcEfm1/NgksW6LPsuuBtUl+aNGmiESNGOPOu2f6wz2QZfFWp6f4z1t6CiLb/glkA1gJutt0tYNunTx/nfk5OjpMhZ6UybX3DWbJkiVPS04KVo0ePdoKSFnCzAKaVr7T9+vHHHzvHoZUT3d4QXAMAAAAAANjJNE2K0/+OGagD+7fV5U9n6vDv+uv2vou0V4dcDWjtVuvkcsWOLLj1xinS8Eul/W+RYipmlNWHQW0G6ZWDX9FFX12kZauXac3La5zAmrG/85+ar1M8p+ilM17Sbq12a5B1AoDGrrJSiFYO0AI1ljFUPmvISjhaaUabI82CMYceuuUHFVaW0Z85Fi7ryQJBFoSxNpY15c+csjnPrL9BgwaFDehEs77B86zZ+oYLrvnn7urVq5dTDrOuWNDO76STTmqQwJqflZ20ufMse+27775z5lGrSk33n7GylzbPm71uwbwWLVo4QbCFCxc6fVmGmgX77BasSZMmgeUEs/e+/vrrTsDz8MMPD2TVGTsW9t13XyfQZvPq2fHSv39/p6To9oSykAAAAAAAADupMX1a69v/nKDxV9yjazceru83t9SAdpEzDQq/e0R5Tx4o5axpsHXs2rSrXj74ZfVs3lPuJqGXsuJbx6s0rVQXfHmBZq2f1WDrBAA7KgusGMtKsswt/33LPrKgnGWlhStJaPO5XXDBBdpnn32cbLO4uDinDOG0adP0+OOPOxlO9WXgwIHO30WLFumXX36ps34ty8sf3Pvoo48atIShlaC0bWksyGbBqvraf/4g2RlnnOEEytq2bevsPwuCWeD00ksvdbL2rHynBUItQNuqVStn/S677DL17NmzQn8zZsxwAmu2zODAWjB73p+RFxzI3F6QuQYAAAAAALATa5mSoBfOGa5XB3TQ/z23u44oduvxxEfV270qpJ3Nt3Ln1GL9vv573b96b3W9+E2pQ/hfwNe1Vk1a6dXjXtUFTS7QFw99ocLlhUrskKj2p7aXO8Gt/NJ8J8D22NjHNKTtkAZZJwBorGzusEgs4GElFo2VOizPsr8soGRl/6x0n2Wd+TPRrCygBVYisaCM3YyVnVy2bJmTdWXzoX355ZdOZpL/9WjX19bDL9z6mjFjxjhZW7asTz75xFn2XnvtpdqyPo844gi99NJLTmae/bUAVKT1qGuWRWZzrlnW2OTJk511qUpN99+RRx7pBPTCsRKbFkALF0SLxF9eMlymYbDmzZtr1apV2rx5s7Y3ZK4BAAAAAADs5OzC2anDuuir289UYqdddUTJf/WOZ++QNh8sKNOni8q0IturM19drh9vPUCa81aDrWNafJqeP+x5HXftcUofma52p7ZzAmt+hWWFuviri/Xz2p8bbJ0AoDGyYJb9ICKcFStWOMEn0759+wqv23xs/tKBFpTxz99VWUnBcKwfC6adfPLJTmabsbnLwrEgXCT+1yzDqbJAjQXYbF4v89lnnzlBqbpgyzzzzDOdQNuGDRv04osvOqUaG4Jtw/3228+5/9tvvzmZgNG8pyb7L1JgraZcf895V1XGnT8bsK6X3xAIrgEAAAAAAMDRs3WK3r1opM7ct7+uKbtI15aep2JfnBZmenT3D1vKS5m8Ep/+9XmOsl49R/rqVktRaJAtmBSbpEfHParjzzleMUlbLtYGK/IU6dKvL9VvG35jjwLYaVlAw4Ix5VnA7fvvv3fuW1m/Nm3aRCzXZ0Eayyiyubj8JRJtHq5I2XCRWGDN+goOuJRn84H5M52CFRQUOPN9GZuTqyo2j5cF2Yytt5WkrAsWWLMAmwXabD0twFZZtl1dslKMFgS1fff1119H9Z7q7r/60PbvDEULnkUq+Whzw/kz1jp27KjtDcE1AAAAAAAABMTHunXtQX300llD9WXigTqq5FZtjm2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" ] @@ -225,6 +242,8 @@ " gridspec_kw={\"height_ratios\": [3, 1], \"hspace\": 0.12},\n", ")\n", "colors = ['C0', 'C1', 'C2']\n", + "camb_handles = []\n", + "pyspk_handle = None\n", "\n", "for i, redshift in enumerate(z):\n", " color = colors[i % len(colors)]\n", @@ -232,14 +251,22 @@ " py_sup = pyspk_sup_list[i]\n", " valid = mask_plot & np.isfinite(camb_sup) & np.isfinite(py_sup) & (np.abs(py_sup) > 1e-30)\n", "\n", - " ax2.semilogx(\n", + " line_camb, = ax2.semilogx(\n", " kh0[valid], camb_sup[valid], color=color, ls='-', lw=2,\n", " label=f'CAMB SP(k), z={float(redshift):g}'\n", " )\n", - " ax2.semilogx(\n", - " kh0[valid], py_sup[valid], color='k', ls=':', lw=1.5, alpha=0.8,\n", - " label='pyspk' if i == 0 else None\n", - " )\n", + " camb_handles.append(line_camb)\n", + "\n", + " if pyspk_handle is None:\n", + " pyspk_handle, = ax2.semilogx(\n", + " kh0[valid], py_sup[valid], color='k', ls=':', lw=1.5, alpha=0.8,\n", + " label='pyspk'\n", + " )\n", + " else:\n", + " ax2.semilogx(\n", + " kh0[valid], py_sup[valid], color='k', ls=':', lw=1.5, alpha=0.8,\n", + " label=None\n", + " )\n", "\n", " ratio_err = camb_sup[valid] / py_sup[valid] - 1.0\n", " ax3.semilogx(kh0[valid], ratio_err, color=color, ls='-', lw=1.8, label=f'z={float(redshift):g}')\n", @@ -247,7 +274,10 @@ "ax2.axhline(1.0, color='k', lw=1, alpha=0.4)\n", "ax2.set_ylabel('Suppression factor')\n", "ax2.set_title('SP(k) suppression: CAMB vs pyspk')\n", - "ax2.legend(loc='lower left', ncol=2, fontsize=9)\n", + "if pyspk_handle is not None:\n", + " ax2.legend(handles=[*camb_handles, pyspk_handle], loc='lower left', fontsize=9)\n", + "else:\n", + " ax2.legend(loc='lower left', fontsize=9)\n", "\n", "ax3.axhline(0.0, color='k', lw=1, alpha=0.5)\n", "ax3.set_xlabel('k/h Mpc')\n", @@ -259,7 +289,7 @@ "ax2.axvline(8.0, color='gray', lw=1, ls='--', alpha=0.6)\n", "ax3.axvline(8.0, color='gray', lw=1, ls='--', alpha=0.6)\n", "ax2.text(\n", - " 8.0 * 0.5, 0.98, 'pyspk k_Ny~8', color='gray', fontsize=9,\n", + " 8.0 * 0.5, 0.98, 'SP(k) k_Ny~8', color='gray', fontsize=9,\n", " bbox=dict(facecolor='white', edgecolor='gray', alpha=0.8, boxstyle='round,pad=0.2')\n", ")\n", "\n", @@ -275,14 +305,6 @@ " rel12 = np.max(np.abs(camb_sup[valid12] / py_sup[valid12] - 1.0))\n", " print(f'z={float(redshift):g}: k<=8 -> {rel8:.2e}, k<=12 -> {rel12:.2e}')\n" ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "6df1e08d", - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": { diff --git a/fortran/SPkNonLinear.f90 b/fortran/SPkNonLinear.f90 index ae617798..939cb77f 100644 --- a/fortran/SPkNonLinear.f90 +++ b/fortran/SPkNonLinear.f90 @@ -122,6 +122,8 @@ subroutine TSPkNonLinear_GetNonLinRatios(this, State, CAMB_Pk) type(MatterPowerData), target :: CAMB_Pk integer :: itf, i real(dl) :: rk, spk_sup, spk_href, spk_eratio +logical, save :: warned_spk_z_outside = .false. +logical, save :: warned_spk_k_clamped = .false. if (.not. allocated(this%BaseModel)) allocate(THalofit::this%BaseModel) @@ -142,7 +144,14 @@ subroutine TSPkNonLinear_GetNonLinRatios(this, State, CAMB_Pk) end select do itf = 1, CAMB_Pk%num_z - if (CAMB_Pk%redshifts(itf) < SPk_calibrated_z_min .or. CAMB_Pk%redshifts(itf) > SPk_calibrated_z_max) cycle + if (CAMB_Pk%redshifts(itf) < SPk_calibrated_z_min .or. CAMB_Pk%redshifts(itf) > SPk_calibrated_z_max) then + if (FeedbackLevel > 0 .and. .not. warned_spk_z_outside) then + write(*,'(A,F8.3,A,F6.2,A,F6.2,A)') 'WARNING: SP(k) skipped outside calibrated redshift range. z=', & + CAMB_Pk%redshifts(itf), ', calibrated range=[', SPk_calibrated_z_min, ',', SPk_calibrated_z_max, '].' + warned_spk_z_outside = .true. + end if + cycle + end if select type (State) class is (CAMBdata) if (this%SPk_relation_kind == SPk_rel_cosmo_power_law .or. this%SPk_relation_kind == SPk_rel_double_power_law) then @@ -157,6 +166,13 @@ subroutine TSPkNonLinear_GetNonLinRatios(this, State, CAMB_Pk) rk = exp(CAMB_Pk%log_kh(i)) if (rk > this%Min_kh_nonlinear) then if (rk < SPk_calibrated_k_min) cycle + if (rk > SPk_calibrated_k_max) then + if (FeedbackLevel > 0 .and. .not. warned_spk_k_clamped) then + write(*,'(A,F8.3,A,F6.2,A)') 'WARNING: SP(k) input k exceeds calibrated range; clamping to k_max=', & + rk, ' -> ', SPk_calibrated_k_max, ' h/Mpc.' + warned_spk_k_clamped = .true. + end if + end if spk_sup = SPk_Suppression(this%SPk_SO, min(rk, SPk_calibrated_k_max), CAMB_Pk%redshifts(itf), & this%SPk_relation_kind, this%SPk_fb_a, this%SPk_fb_pow, this%SPk_fb_pivot, & this%SPk_alpha, this%SPk_beta, this%SPk_gamma, & From 2fef2a7e3f25cf4ec887cd6c591031a1c24e5eee Mon Sep 17 00:00:00 2001 From: Jaime Salcido Date: Sun, 19 Apr 2026 17:48:42 +0100 Subject: [PATCH 09/32] docs: update SP(k) model documentation with calibration details and warnings --- camb/nonlinear.py | 60 +++++++++++++++++++++++++++++---------- docs/SPk_demo.ipynb | 8 +++--- docs/source/nonlinear.rst | 18 ++++++++++++ 3 files changed, 67 insertions(+), 19 deletions(-) diff --git a/camb/nonlinear.py b/camb/nonlinear.py index 9abf49da..9860f6ad 100644 --- a/camb/nonlinear.py +++ b/camb/nonlinear.py @@ -99,9 +99,20 @@ class SPkNonLinear(NonLinearModel): """ SP(k) baryon suppression model applied on top of a base non-linear model. + Reference: + - SP(k) model: `arXiv:2305.09710 `_, + `MNRAS 523, 2247 (2023) `_ + The base model is evaluated first (Halofit by default), then SP(k) - suppression is applied multiplicatively as + suppression is applied to CAMB's non-linear ratio as + ``sqrt(P_NL/P_L) -> sqrt(P_NL/P_L) * sqrt(SPk_suppression)``. + + Notes: + - SP(k) calibration is defined for ``0 <= z <= 3`` and ``k <= 12 h/Mpc``. + Outside these ranges, behavior follows the Fortran implementation. + - SP(k) cannot be combined with HMCode baryon-feedback modes + (for example ``halofit_version='mead2020_feedback'``). """ _fields_ = ( @@ -183,20 +194,39 @@ def set_params( SPk_m_pivot=1.0, ): """ - Set SP(k) suppression parameters. - - :param base_model: Base non-linear model to wrap. Defaults to :class:`Halofit`. - :param SPk_feedback: Enable SP(k) suppression. - :param SPk_SO: Spherical overdensity calibration, 200 or 500. - :param SPk_relation_kind: 1=power_law, 2=cosmo_power_law, 3=double_power_law. - :param SPk_fb_a: Power-law relation normalization (kind 1). - :param SPk_fb_pow: Power-law relation exponent (kind 1). - :param SPk_fb_pivot: Power-law relation pivot mass [M_sun] (kind 1). - :param SPk_alpha: Relation alpha parameter (kinds 2/3). - :param SPk_beta: Relation beta parameter (kinds 2/3). - :param SPk_gamma: Relation gamma parameter (kinds 2/3). - :param SPk_epsilon: Relation epsilon parameter (kind 3). - :param SPk_m_pivot: Relation pivot mass [M_sun] (kind 3). + Set SP(k) model and relation parameters. + + Reference: + - SP(k) model: `arXiv:2305.09710 `_, + `MNRAS 523, 2247 (2023) `_ + + Relation-specific groups: + + - ``1`` (power_law): ``SPk_fb_a``, ``SPk_fb_pow``, ``SPk_fb_pivot`` + - ``2`` (cosmo_power_law): ``SPk_alpha``, ``SPk_beta``, ``SPk_gamma`` + - ``3`` (double_power_law): ``SPk_epsilon``, ``SPk_alpha``, + ``SPk_beta``, ``SPk_gamma``, ``SPk_m_pivot`` + + Parameter definitions: + + :param base_model: Base non-linear model instance to wrap. + If None, keeps current base model (default Halofit). + :param SPk_feedback: If True, apply SP(k) suppression on top of the base model. + :param SPk_SO: Spherical overdensity calibration. Allowed values: 200 or 500. + :param SPk_relation_kind: Relation type. + Allowed values: 1 (power_law), 2 (cosmo_power_law), 3 (double_power_law). + :param SPk_fb_a: Power-law normalization. + :param SPk_fb_pow: Power-law exponent. + :param SPk_fb_pivot: Power-law pivot mass in solar masses. + :param SPk_alpha: Alpha parameter. + :param SPk_beta: Beta parameter. + :param SPk_gamma: Gamma parameter. + :param SPk_epsilon: Epsilon parameter. + :param SPk_m_pivot: Pivot mass in solar masses. + :return: Self, for fluent configuration. + :raises CAMBValueError: If relation or pivot constraints are invalid, + or if configuration is incompatible with the selected Halofit + baryon-feedback mode. """ if base_model is not None: self.BaseModel = base_model diff --git a/docs/SPk_demo.ipynb b/docs/SPk_demo.ipynb index 77febcb5..79ee26b1 100644 --- a/docs/SPk_demo.ipynb +++ b/docs/SPk_demo.ipynb @@ -20,7 +20,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 5, "id": "b82be437", "metadata": {}, "outputs": [ @@ -55,7 +55,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 6, "id": "e37d95d6", "metadata": {}, "outputs": [ @@ -114,7 +114,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 7, "id": "942282a9", "metadata": {}, "outputs": [ @@ -187,7 +187,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 8, "id": "69a98f59", "metadata": {}, "outputs": [ diff --git a/docs/source/nonlinear.rst b/docs/source/nonlinear.rst index 4022d03e..4a823afb 100644 --- a/docs/source/nonlinear.rst +++ b/docs/source/nonlinear.rst @@ -1,6 +1,24 @@ Non-linear models ================================== +SP(k) model notes +----------------- + +The ``SPkNonLinear`` model wraps a base non-linear prescription (Halofit by +default) and applies SP(k) suppression multiplicatively to CAMB's non-linear +ratio. + +The implementation follows the calibrated SP(k) range. In practice: + +- outside calibrated redshift range, SP(k) is not applied for that slice +- above calibrated ``k``, suppression is evaluated at calibrated ``k_max`` + +When ``FeedbackLevel > 0``, CAMB prints one-time warnings for these out-of-range +cases. + +SP(k) should not be combined with HMCode baryon-feedback modes (for example +``halofit_version='mead2020_feedback'``). + .. autoclass:: camb.nonlinear.NonLinearModel :members: From 828fba55c8b93845625a3fb00dc2faba99b5dea7 Mon Sep 17 00:00:00 2001 From: Jaime Salcido Date: Sun, 19 Apr 2026 17:58:10 +0100 Subject: [PATCH 10/32] docs: update SP(k) model references and expand mode definitions in docstrings --- camb/nonlinear.py | 25 ++++++++++++++++++------- 1 file changed, 18 insertions(+), 7 deletions(-) diff --git a/camb/nonlinear.py b/camb/nonlinear.py index 9860f6ad..51673adb 100644 --- a/camb/nonlinear.py +++ b/camb/nonlinear.py @@ -99,9 +99,11 @@ class SPkNonLinear(NonLinearModel): """ SP(k) baryon suppression model applied on top of a base non-linear model. - Reference: + References: - SP(k) model: `arXiv:2305.09710 `_, `MNRAS 523, 2247 (2023) `_ + - pyspk implementation details and mode definitions: + https://github.com/jemme07/pyspk The base model is evaluated first (Halofit by default), then SP(k) suppression is applied to CAMB's non-linear ratio as @@ -196,16 +198,25 @@ def set_params( """ Set SP(k) model and relation parameters. - Reference: + References: - SP(k) model: `arXiv:2305.09710 `_, `MNRAS 523, 2247 (2023) `_ + - For mode details and examples, see https://github.com/jemme07/pyspk - Relation-specific groups: + SP(k) modes: - - ``1`` (power_law): ``SPk_fb_a``, ``SPk_fb_pow``, ``SPk_fb_pivot`` - - ``2`` (cosmo_power_law): ``SPk_alpha``, ``SPk_beta``, ``SPk_gamma`` - - ``3`` (double_power_law): ``SPk_epsilon``, ``SPk_alpha``, - ``SPk_beta``, ``SPk_gamma``, ``SPk_m_pivot`` + - ``1`` (``power_law``): + ``f_b/(Omega_b/Omega_m) = a * (M_SO/M_pivot)^b`` + with ``a=SPk_fb_a``, ``b=SPk_fb_pow``, ``M_pivot=SPk_fb_pivot``. + + - ``2`` (``cosmo_power_law``, redshift-dependent power law): + ``f_b/(Omega_b/Omega_m) = (exp(alpha)/100) * (M_500c/1e14 Msun)^(beta-1) * (E(z)/E(0.3))^gamma`` + with ``alpha=SPk_alpha``, ``beta=SPk_beta``, ``gamma=SPk_gamma``. + + - ``3`` (``double_power_law``, redshift-dependent double power law): + ``f_b/(Omega_b/Omega_m) = 0.5 * epsilon * ((M_500c/M_pivot)^alpha + (M_500c/M_pivot)^beta) * (E(z)/E(0.3))^gamma`` + with ``epsilon=SPk_epsilon``, ``alpha=SPk_alpha``, ``beta=SPk_beta``, + ``gamma=SPk_gamma``, ``M_pivot=SPk_m_pivot``. Parameter definitions: From 5f99bdcee7d4ac3546d371be427d372be8c000ba Mon Sep 17 00:00:00 2001 From: Jaime Salcido Date: Sun, 19 Apr 2026 18:00:07 +0100 Subject: [PATCH 11/32] docs: clarify parameter descriptions in SPkNonLinear class --- camb/nonlinear.py | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/camb/nonlinear.py b/camb/nonlinear.py index 51673adb..08b7bb6c 100644 --- a/camb/nonlinear.py +++ b/camb/nonlinear.py @@ -207,15 +207,15 @@ def set_params( - ``1`` (``power_law``): ``f_b/(Omega_b/Omega_m) = a * (M_SO/M_pivot)^b`` - with ``a=SPk_fb_a``, ``b=SPk_fb_pow``, ``M_pivot=SPk_fb_pivot``. + where ``a=SPk_fb_a``, ``b=SPk_fb_pow``, ``M_pivot=SPk_fb_pivot``. - - ``2`` (``cosmo_power_law``, redshift-dependent power law): - ``f_b/(Omega_b/Omega_m) = (exp(alpha)/100) * (M_500c/1e14 Msun)^(beta-1) * (E(z)/E(0.3))^gamma`` - with ``alpha=SPk_alpha``, ``beta=SPk_beta``, ``gamma=SPk_gamma``. + - ``2`` (``cosmo_power_law``; redshift-dependent power law): + ``f_b/(Omega_b/Omega_m) = (exp(alpha)/100) * (M_500c/1e14 M_sun)^(beta-1) * (E(z)/E(0.3))^gamma`` + where ``alpha=SPk_alpha``, ``beta=SPk_beta``, ``gamma=SPk_gamma``. - - ``3`` (``double_power_law``, redshift-dependent double power law): + - ``3`` (``double_power_law``; redshift-dependent double power law): ``f_b/(Omega_b/Omega_m) = 0.5 * epsilon * ((M_500c/M_pivot)^alpha + (M_500c/M_pivot)^beta) * (E(z)/E(0.3))^gamma`` - with ``epsilon=SPk_epsilon``, ``alpha=SPk_alpha``, ``beta=SPk_beta``, + where ``epsilon=SPk_epsilon``, ``alpha=SPk_alpha``, ``beta=SPk_beta``, ``gamma=SPk_gamma``, ``M_pivot=SPk_m_pivot``. Parameter definitions: From 666fb157d93cac5de41cf3d5f62d24208d1086ba Mon Sep 17 00:00:00 2001 From: Jaime Salcido Date: Thu, 30 Apr 2026 23:15:52 +0100 Subject: [PATCH 12/32] refactor: standardize double quotes for strings in SPk_demo.ipynb --- docs/SPk_demo.ipynb | 102 ++++++++++++++++++++++---------------------- 1 file changed, 51 insertions(+), 51 deletions(-) diff --git a/docs/SPk_demo.ipynb b/docs/SPk_demo.ipynb index 79ee26b1..db4299e5 100644 --- a/docs/SPk_demo.ipynb +++ b/docs/SPk_demo.ipynb @@ -47,7 +47,7 @@ "import camb\n", "from camb import model\n", "\n", - "warnings.filterwarnings('ignore')\n", + "warnings.filterwarnings(\"ignore\")\n", "\n", "print(f\"Using CAMB {camb.__version__} installed at {os.path.dirname(camb.__file__)}\")\n", "print(f\"Using pyspk {pyspk.__version__}\")" @@ -80,7 +80,7 @@ "pars_base.set_matter_power(redshifts=z_samples, kmax=maxkh, k_per_logint=k_per_logint, silent=True)\n", "pars_base.NonLinear = model.NonLinear_both\n", "pars_base.NonLinearModel = camb.Halofit()\n", - "pars_base.NonLinearModel.set_params(halofit_version='mead2020')\n", + "pars_base.NonLinearModel.set_params(halofit_version=\"mead2020\")\n", "\n", "results_base = camb.get_results(pars_base)\n", "kh0, z0, pk0 = results_base.get_matter_power_spectrum(minkh=minkh, maxkh=maxkh, npoints=npoints)\n", @@ -91,7 +91,7 @@ "pars_spk.NonLinear = model.NonLinear_both\n", "\n", "spk_model = camb.SPkNonLinear()\n", - "spk_model.BaseModel.set_params(halofit_version='mead2020')\n", + "spk_model.BaseModel.set_params(halofit_version=\"mead2020\")\n", "spk_model.set_params(\n", " SPk_feedback=True,\n", " SPk_SO=200,\n", @@ -108,8 +108,8 @@ "assert np.allclose(kh0, kh1)\n", "assert np.allclose(z0, z1)\n", "z = np.array(z0)\n", - "print('redshifts:', z)\n", - "print('k_per_logint:', k_per_logint)" + "print(\"redshifts:\", z)\n", + "print(\"k_per_logint:\", k_per_logint)" ] }, { @@ -139,36 +139,36 @@ "from matplotlib.lines import Line2D\n", "\n", "fig, ax = plt.subplots(1, 2, figsize=(12, 4))\n", - "linestyles = ['-', '--', ':', '-.']\n", + "linestyles = [\"-\", \"--\", \":\", \"-.\"]\n", "\n", "for i, redshift in enumerate(z):\n", " ls = linestyles[i % len(linestyles)]\n", - " ax[0].loglog(kh0, pk0[i, :], color='C3', ls=ls)\n", - " ax[0].loglog(kh1, pk1[i, :], color='C0', ls=ls)\n", - "ax[0].set_xlabel('k/h Mpc')\n", - "ax[0].set_ylabel('P(k) [(Mpc/h)^3]')\n", - "ax[0].set_title('Non-linear matter power')\n", + " ax[0].loglog(kh0, pk0[i, :], color=\"C3\", ls=ls)\n", + " ax[0].loglog(kh1, pk1[i, :], color=\"C0\", ls=ls)\n", + "ax[0].set_xlabel(\"k/h Mpc\")\n", + "ax[0].set_ylabel(\"P(k) [(Mpc/h)^3]\")\n", + "ax[0].set_title(\"Non-linear matter power\")\n", "\n", "model_handles = [\n", - " Line2D([], [], color='C3', lw=2, label='non-linear'),\n", - " Line2D([], [], color='C0', lw=2, label='non-linear + SP(k)'),\n", + " Line2D([], [], color=\"C3\", lw=2, label=\"non-linear\"),\n", + " Line2D([], [], color=\"C0\", lw=2, label=\"non-linear + SP(k)\"),\n", "]\n", "redshift_handles = [\n", - " Line2D([], [], color='k', lw=2, ls=linestyles[i % len(linestyles)], label=f'z={float(redshift):g}')\n", + " Line2D([], [], color=\"k\", lw=2, ls=linestyles[i % len(linestyles)], label=f\"z={float(redshift):g}\")\n", " for i, redshift in enumerate(z)\n", "]\n", - "leg_model = ax[0].legend(handles=model_handles, loc='lower left')\n", + "leg_model = ax[0].legend(handles=model_handles, loc=\"lower left\")\n", "ax[0].add_artist(leg_model)\n", - "ax[0].legend(handles=redshift_handles, title='Redshift', loc='upper right')\n", + "ax[0].legend(handles=redshift_handles, title=\"Redshift\", loc=\"upper right\")\n", "\n", "for i, redshift in enumerate(z):\n", " ls = linestyles[i % len(linestyles)]\n", - " ax[1].semilogx(kh0, pk1[i, :] / pk0[i, :], ls=ls, label=f'z={float(redshift):g}')\n", - "ax[1].axhline(1.0, color='k', lw=1)\n", - "ax[1].set_xlabel('k/h Mpc')\n", - "ax[1].set_ylabel('P_nl(SPk) / P_nl')\n", - "ax[1].set_title('Suppression ratio')\n", - "ax[1].legend(loc='lower left')\n", + " ax[1].semilogx(kh0, pk1[i, :] / pk0[i, :], ls=ls, label=f\"z={float(redshift):g}\")\n", + "ax[1].axhline(1.0, color=\"k\", lw=1)\n", + "ax[1].set_xlabel(\"k/h Mpc\")\n", + "ax[1].set_ylabel(\"P_nl(SPk) / P_nl\")\n", + "ax[1].set_title(\"Suppression ratio\")\n", + "ax[1].legend(loc=\"lower left\")\n", "\n", "plt.tight_layout()" ] @@ -238,10 +238,13 @@ "mask_plot = kh0 <= k_compare_max\n", "\n", "fig2, (ax2, ax3) = plt.subplots(\n", - " 2, 1, figsize=(10, 8), sharex=True,\n", + " 2,\n", + " 1,\n", + " figsize=(10, 8),\n", + " sharex=True,\n", " gridspec_kw={\"height_ratios\": [3, 1], \"hspace\": 0.12},\n", ")\n", - "colors = ['C0', 'C1', 'C2']\n", + "colors = [\"C0\", \"C1\", \"C2\"]\n", "camb_handles = []\n", "pyspk_handle = None\n", "\n", @@ -251,51 +254,48 @@ " py_sup = pyspk_sup_list[i]\n", " valid = mask_plot & np.isfinite(camb_sup) & np.isfinite(py_sup) & (np.abs(py_sup) > 1e-30)\n", "\n", - " line_camb, = ax2.semilogx(\n", - " kh0[valid], camb_sup[valid], color=color, ls='-', lw=2,\n", - " label=f'CAMB SP(k), z={float(redshift):g}'\n", + " (line_camb,) = ax2.semilogx(\n", + " kh0[valid], camb_sup[valid], color=color, ls=\"-\", lw=2, label=f\"CAMB SP(k), z={float(redshift):g}\"\n", " )\n", " camb_handles.append(line_camb)\n", "\n", " if pyspk_handle is None:\n", - " pyspk_handle, = ax2.semilogx(\n", - " kh0[valid], py_sup[valid], color='k', ls=':', lw=1.5, alpha=0.8,\n", - " label='pyspk'\n", - " )\n", + " (pyspk_handle,) = ax2.semilogx(kh0[valid], py_sup[valid], color=\"k\", ls=\":\", lw=1.5, alpha=0.8, label=\"pyspk\")\n", " else:\n", - " ax2.semilogx(\n", - " kh0[valid], py_sup[valid], color='k', ls=':', lw=1.5, alpha=0.8,\n", - " label=None\n", - " )\n", + " ax2.semilogx(kh0[valid], py_sup[valid], color=\"k\", ls=\":\", lw=1.5, alpha=0.8, label=None)\n", "\n", " ratio_err = camb_sup[valid] / py_sup[valid] - 1.0\n", - " ax3.semilogx(kh0[valid], ratio_err, color=color, ls='-', lw=1.8, label=f'z={float(redshift):g}')\n", + " ax3.semilogx(kh0[valid], ratio_err, color=color, ls=\"-\", lw=1.8, label=f\"z={float(redshift):g}\")\n", "\n", - "ax2.axhline(1.0, color='k', lw=1, alpha=0.4)\n", - "ax2.set_ylabel('Suppression factor')\n", - "ax2.set_title('SP(k) suppression: CAMB vs pyspk')\n", + "ax2.axhline(1.0, color=\"k\", lw=1, alpha=0.4)\n", + "ax2.set_ylabel(\"Suppression factor\")\n", + "ax2.set_title(\"SP(k) suppression: CAMB vs pyspk\")\n", "if pyspk_handle is not None:\n", - " ax2.legend(handles=[*camb_handles, pyspk_handle], loc='lower left', fontsize=9)\n", + " ax2.legend(handles=[*camb_handles, pyspk_handle], loc=\"lower left\", fontsize=9)\n", "else:\n", - " ax2.legend(loc='lower left', fontsize=9)\n", + " ax2.legend(loc=\"lower left\", fontsize=9)\n", "\n", - "ax3.axhline(0.0, color='k', lw=1, alpha=0.5)\n", - "ax3.set_xlabel('k/h Mpc')\n", - "ax3.set_ylabel('CAMB/pyspk - 1')\n", + "ax3.axhline(0.0, color=\"k\", lw=1, alpha=0.5)\n", + "ax3.set_xlabel(\"k/h Mpc\")\n", + "ax3.set_ylabel(\"CAMB/pyspk - 1\")\n", "ax3.set_ylim(-0.01, 0.01)\n", - "ax3.set_title('Relative error (±1%)')\n", + "ax3.set_title(\"Relative error (±1%)\")\n", "\n", "# Reference marker: pyspk Nyquist limit\n", - "ax2.axvline(8.0, color='gray', lw=1, ls='--', alpha=0.6)\n", - "ax3.axvline(8.0, color='gray', lw=1, ls='--', alpha=0.6)\n", + "ax2.axvline(8.0, color=\"gray\", lw=1, ls=\"--\", alpha=0.6)\n", + "ax3.axvline(8.0, color=\"gray\", lw=1, ls=\"--\", alpha=0.6)\n", "ax2.text(\n", - " 8.0 * 0.5, 0.98, 'SP(k) k_Ny~8', color='gray', fontsize=9,\n", - " bbox=dict(facecolor='white', edgecolor='gray', alpha=0.8, boxstyle='round,pad=0.2')\n", + " 8.0 * 0.5,\n", + " 0.98,\n", + " \"SP(k) k_Ny~8\",\n", + " color=\"gray\",\n", + " fontsize=9,\n", + " bbox=dict(facecolor=\"white\", edgecolor=\"gray\", alpha=0.8, boxstyle=\"round,pad=0.2\"),\n", ")\n", "\n", "plt.tight_layout()\n", "\n", - "print('Max relative error between CAMB SP(k) and pyspk:')\n", + "print(\"Max relative error between CAMB SP(k) and pyspk:\")\n", "for i, redshift in enumerate(z):\n", " camb_sup = pk1[i, :] / pk0[i, :]\n", " py_sup = pyspk_sup_list[i]\n", @@ -303,7 +303,7 @@ " valid12 = (kh0 <= 12.0) & np.isfinite(camb_sup) & np.isfinite(py_sup) & (np.abs(py_sup) > 1e-30)\n", " rel8 = np.max(np.abs(camb_sup[valid8] / py_sup[valid8] - 1.0))\n", " rel12 = np.max(np.abs(camb_sup[valid12] / py_sup[valid12] - 1.0))\n", - " print(f'z={float(redshift):g}: k<=8 -> {rel8:.2e}, k<=12 -> {rel12:.2e}')\n" + " print(f\"z={float(redshift):g}: k<=8 -> {rel8:.2e}, k<=12 -> {rel12:.2e}\")" ] } ], From 171941daabd3a7f4f457cbb2b54be012d9848739 Mon Sep 17 00:00:00 2001 From: Jaime Salcido Date: Mon, 18 May 2026 00:04:20 +0100 Subject: [PATCH 13/32] fix: adjust SP(k) clamping logic for calibrated range checks --- fortran/SPkNonLinear.f90 | 24 +++++++++++------------- 1 file changed, 11 insertions(+), 13 deletions(-) diff --git a/fortran/SPkNonLinear.f90 b/fortran/SPkNonLinear.f90 index 939cb77f..fc260429 100644 --- a/fortran/SPkNonLinear.f90 +++ b/fortran/SPkNonLinear.f90 @@ -164,21 +164,19 @@ subroutine TSPkNonLinear_GetNonLinRatios(this, State, CAMB_Pk) end select do i = 1, CAMB_Pk%num_k rk = exp(CAMB_Pk%log_kh(i)) - if (rk > this%Min_kh_nonlinear) then - if (rk < SPk_calibrated_k_min) cycle - if (rk > SPk_calibrated_k_max) then - if (FeedbackLevel > 0 .and. .not. warned_spk_k_clamped) then - write(*,'(A,F8.3,A,F6.2,A)') 'WARNING: SP(k) input k exceeds calibrated range; clamping to k_max=', & - rk, ' -> ', SPk_calibrated_k_max, ' h/Mpc.' - warned_spk_k_clamped = .true. - end if + if (rk < SPk_calibrated_k_min) cycle + if (rk > SPk_calibrated_k_max) then + if (FeedbackLevel > 0 .and. .not. warned_spk_k_clamped) then + write(*,'(A,F8.3,A,F6.2,A)') 'WARNING: SP(k) input k exceeds calibrated range; clamping to k_max=', & + rk, ' -> ', SPk_calibrated_k_max, ' h/Mpc.' + warned_spk_k_clamped = .true. end if - spk_sup = SPk_Suppression(this%SPk_SO, min(rk, SPk_calibrated_k_max), CAMB_Pk%redshifts(itf), & - this%SPk_relation_kind, this%SPk_fb_a, this%SPk_fb_pow, this%SPk_fb_pivot, & - this%SPk_alpha, this%SPk_beta, this%SPk_gamma, & - this%SPk_epsilon, this%SPk_m_pivot, spk_eratio) - CAMB_Pk%nonlin_ratio(i, itf) = CAMB_Pk%nonlin_ratio(i, itf) * sqrt(spk_sup) end if + spk_sup = SPk_Suppression(this%SPk_SO, min(rk, SPk_calibrated_k_max), CAMB_Pk%redshifts(itf), & + this%SPk_relation_kind, this%SPk_fb_a, this%SPk_fb_pow, this%SPk_fb_pivot, & + this%SPk_alpha, this%SPk_beta, this%SPk_gamma, & + this%SPk_epsilon, this%SPk_m_pivot, spk_eratio) + CAMB_Pk%nonlin_ratio(i, itf) = CAMB_Pk%nonlin_ratio(i, itf) * sqrt(spk_sup) end do end do From e47d3864670d02d30c154271b52448ffcb78f9fb Mon Sep 17 00:00:00 2001 From: Jaime Salcido Date: Mon, 18 May 2026 23:31:52 +0100 Subject: [PATCH 14/32] fix: correct YHe assertions and remove redundant SPkNonLinear test --- camb/tests/camb_test.py | 31 +++---------------------------- 1 file changed, 3 insertions(+), 28 deletions(-) diff --git a/camb/tests/camb_test.py b/camb/tests/camb_test.py index 4439d315..2c58fb12 100644 --- a/camb/tests/camb_test.py +++ b/camb/tests/camb_test.py @@ -248,7 +248,7 @@ def testBackground(self): # Test BBN consistency, base_plikHM_TT_lowTEB best fit model pars.set_cosmology(H0=67.31, ombh2=0.022242, omch2=0.11977, mnu=0.06, omk=0) - self.assertAlmostEqual(float(pars.YHe), 0.2458, 5) + self.assertAlmostEqual(pars.YHe, 0.2458, 5) data.calc_background(pars) self.assertAlmostEqual(data.cosmomc_theta(), 0.0104090741, 7) self.assertAlmostEqual(data.get_derived_params()["kd"], 0.14055, 4) @@ -256,13 +256,13 @@ def testBackground(self): pars.set_cosmology( H0=67.31, ombh2=0.022242, omch2=0.11977, mnu=0.06, omk=0, bbn_predictor=bbn.BBN_table_interpolator() ) - self.assertAlmostEqual(float(pars.YHe), 0.2458, 5) + self.assertAlmostEqual(pars.YHe, 0.2458, 5) self.assertAlmostEqual(pars.get_Y_p(), bbn.BBN_table_interpolator().Y_p(0.022242, 0), 5) # test massive sterile models as in Planck papers pars.set_cosmology(H0=68.0, ombh2=0.022305, omch2=0.11873, mnu=0.06, nnu=3.073, omk=0, meffsterile=0.013) self.assertAlmostEqual(pars.omnuh2, 0.00078, 5) - self.assertAlmostEqual(float(pars.YHe), 0.246218, 5) + self.assertAlmostEqual(pars.YHe, 0.246218, 5) self.assertAlmostEqual(pars.N_eff, 3.073, 4) data.calc_background(pars) @@ -959,28 +959,3 @@ def test_quintessence(self): camb.get_background(pars) results = camb.get_results(pars) self.assertAlmostEqual(results.get_derived_params()["thetastar"], 1.044341764253, delta=1e-5) - - def testSPkNonLinearClassSelection(self): - pars = camb.CAMBparams() - pars.set_classes(non_linear_model="SPkNonLinear") - self.assertEqual(pars.NonLinearModel.__class__.__name__, "SPkNonLinear") - - pars.set_cosmology(H0=67.5, ombh2=0.02237, omch2=0.12, mnu=0.06) - pars.InitPower.set_params(As=2.1e-9, ns=0.965) - pars.set_matter_power(redshifts=[0.5], kmax=3.0) - pars.NonLinear = model.NonLinear_both - pars.NonLinearModel.BaseModel.set_params(halofit_version="mead2020") - pars.NonLinearModel.set_params( - SPk_feedback=True, - SPk_SO=200, - SPk_relation_kind=1, - SPk_fb_a=0.4, - SPk_fb_pow=0.2, - SPk_fb_pivot=1e14, - ) - - data = camb.get_results(pars) - k, z, pk = data.get_matter_power_spectrum(minkh=1e-2, maxkh=1.0, npoints=8) - self.assertEqual(len(z), 1) - self.assertTrue(np.all(np.isfinite(k))) - self.assertTrue(np.all(np.isfinite(pk))) From d80aad029227c45eaaf4ee838911e020af385e28 Mon Sep 17 00:00:00 2001 From: Jaime Salcido Date: Tue, 19 May 2026 09:16:46 +0100 Subject: [PATCH 15/32] refactor: simplify SP(k) model documentation and enhance parameter descriptions --- camb/nonlinear.py | 125 +++++++++++++++++++++++++--------------------- 1 file changed, 68 insertions(+), 57 deletions(-) diff --git a/camb/nonlinear.py b/camb/nonlinear.py index 08b7bb6c..453c1aee 100644 --- a/camb/nonlinear.py +++ b/camb/nonlinear.py @@ -96,26 +96,7 @@ def set_params( @fortran_class class SPkNonLinear(NonLinearModel): - """ - SP(k) baryon suppression model applied on top of a base non-linear model. - - References: - - SP(k) model: `arXiv:2305.09710 `_, - `MNRAS 523, 2247 (2023) `_ - - pyspk implementation details and mode definitions: - https://github.com/jemme07/pyspk - - The base model is evaluated first (Halofit by default), then SP(k) - suppression is applied to CAMB's non-linear ratio as - - ``sqrt(P_NL/P_L) -> sqrt(P_NL/P_L) * sqrt(SPk_suppression)``. - - Notes: - - SP(k) calibration is defined for ``0 <= z <= 3`` and ``k <= 12 h/Mpc``. - Outside these ranges, behavior follows the Fortran implementation. - - SP(k) cannot be combined with HMCode baryon-feedback modes - (for example ``halofit_version='mead2020_feedback'``). - """ + """SP(k) baryon suppression model applied on top of a base non-linear model.""" _fields_ = ( ("BaseModel", AllocatableObject(NonLinearModel)), @@ -182,7 +163,6 @@ def _validate(self): def set_params( self, - base_model=None, SPk_feedback=False, SPk_SO=200, SPk_relation_kind=1, @@ -194,55 +174,86 @@ def set_params( SPk_gamma=0.0, SPk_epsilon=0.0, SPk_m_pivot=1.0, + halofit_version=halofit_default, ): """ - Set SP(k) model and relation parameters. + Configure the SP(k) baryon suppression model. + + References: + - SP(k) model: `MNRAS 523, 2247 (2023) `_ + - pyspk: https://github.com/jemme07/pyspk - References: - - SP(k) model: `arXiv:2305.09710 `_, - `MNRAS 523, 2247 (2023) `_ - - For mode details and examples, see https://github.com/jemme07/pyspk + The base model is evaluated first (Halofit by default), then SP(k) + suppression is applied to CAMB's non-linear ratio as: - SP(k) modes: + ``sqrt(P_NL/P_L) -> sqrt(P_NL/P_L) * sqrt(SPk_suppression)`` - - ``1`` (``power_law``): - ``f_b/(Omega_b/Omega_m) = a * (M_SO/M_pivot)^b`` - where ``a=SPk_fb_a``, ``b=SPk_fb_pow``, ``M_pivot=SPk_fb_pivot``. + **SP(k) relation kinds:** - - ``2`` (``cosmo_power_law``; redshift-dependent power law): - ``f_b/(Omega_b/Omega_m) = (exp(alpha)/100) * (M_500c/1e14 M_sun)^(beta-1) * (E(z)/E(0.3))^gamma`` - where ``alpha=SPk_alpha``, ``beta=SPk_beta``, ``gamma=SPk_gamma``. + - **kind=1** (power_law): + ``f_b / (Omega_b/Omega_m) = a * (M_SO / M_pivot)^b`` - - ``3`` (``double_power_law``; redshift-dependent double power law): - ``f_b/(Omega_b/Omega_m) = 0.5 * epsilon * ((M_500c/M_pivot)^alpha + (M_500c/M_pivot)^beta) * (E(z)/E(0.3))^gamma`` - where ``epsilon=SPk_epsilon``, ``alpha=SPk_alpha``, ``beta=SPk_beta``, - ``gamma=SPk_gamma``, ``M_pivot=SPk_m_pivot``. + - **kind=2** (cosmo_power_law): + ``f_b / (Omega_b/Omega_m) = (exp(alpha)/100) * (M_500c/1e14)^(beta-1) * (E(z)/E(0.3))^gamma`` - Parameter definitions: + - **kind=3** (double_power_law): + ``f_b / (Omega_b/Omega_m) = 0.5 * eps * ((M/M_piv)^alpha + (M/M_piv)^beta) * (E(z)/E(0.3))^gamma`` - :param base_model: Base non-linear model instance to wrap. - If None, keeps current base model (default Halofit). :param SPk_feedback: If True, apply SP(k) suppression on top of the base model. - :param SPk_SO: Spherical overdensity calibration. Allowed values: 200 or 500. - :param SPk_relation_kind: Relation type. - Allowed values: 1 (power_law), 2 (cosmo_power_law), 3 (double_power_law). - :param SPk_fb_a: Power-law normalization. - :param SPk_fb_pow: Power-law exponent. - :param SPk_fb_pivot: Power-law pivot mass in solar masses. - :param SPk_alpha: Alpha parameter. - :param SPk_beta: Beta parameter. - :param SPk_gamma: Gamma parameter. - :param SPk_epsilon: Epsilon parameter. - :param SPk_m_pivot: Pivot mass in solar masses. + :param SPk_SO: Spherical overdensity calibration (200 or 500). + :param SPk_relation_kind: Relation type: 1 (power_law), 2 (cosmo_power_law), 3 (double_power_law). + :param SPk_fb_a: Power-law normalization (kind=1). + :param SPk_fb_pow: Power-law exponent (kind=1). + :param SPk_fb_pivot: Power-law pivot mass in M_sun (kind=1). + :param SPk_alpha: Alpha parameter (kinds 2, 3). + :param SPk_beta: Beta parameter (kinds 2, 3). + :param SPk_gamma: Gamma parameter (kinds 2, 3). + :param SPk_epsilon: Epsilon parameter (kind=3). + :param SPk_m_pivot: Pivot mass in M_sun (kind=3). + :param halofit_version: Base Halofit version for the wrapped non-linear model. :return: Self, for fluent configuration. - :raises CAMBValueError: If relation or pivot constraints are invalid, - or if configuration is incompatible with the selected Halofit - baryon-feedback mode. + :raises CAMBValueError: If parameters are invalid or incompatible with the base model. + + **Cobaya usage:** + + Cobaya passes keys from ``extra_args`` directly to ``set_params()``. + Parameters under the theory ``params:`` block are also forwarded and can be sampled. + + - **extra_args** (fixed): ``non_linear_model``, ``halofit_version``, ``SPk_feedback``, + ``SPk_SO``, ``SPk_relation_kind``, and pivot masses. + - **params** (sampled): continuous relation parameters (e.g. ``SPk_fb_a``, ``SPk_fb_pow``). + + Example YAML (kind=3, double_power_law):: + + theory: + camb: + extra_args: + non_linear_model: camb.nonlinear.SPkNonLinear + halofit_version: mead2020 + SPk_feedback: true + SPk_SO: 200 + SPk_relation_kind: 3 + SPk_m_pivot: 1.0e14 + params: + SPk_epsilon: + prior: {min: 0.24, max: 0.35} + ref: {dist: norm, loc: 0.30, scale: 0.02} + SPk_alpha: + prior: {min: -0.12, max: 0.34} + SPk_beta: + prior: {min: -0.74, max: 0.77} + SPk_gamma: + prior: {min: -0.5, max: 1.20} + + **Notes:** + + - Calibrated for ``0 <= z <= 3`` and ``k <= 12 h/Mpc``. + - Cannot be combined with ``halofit_version='mead2020_feedback'``. """ - if base_model is not None: - self.BaseModel = base_model - elif self.BaseModel is None: + if self.BaseModel is None: self.BaseModel = Halofit() + if isinstance(self.BaseModel, Halofit): + self.BaseModel.set_params(halofit_version=halofit_version) self.SPk_feedback = SPk_feedback self.SPk_SO = SPk_SO From 8f52b0f74de43f5f0d6177874a59c2f7df2934ed Mon Sep 17 00:00:00 2001 From: Jaime Salcido Date: Tue, 19 May 2026 09:17:03 +0100 Subject: [PATCH 16/32] feat: add SP(k) helper functions and validation plotting scripts --- camb/tests/_spk_helpers.py | 157 +++++++++++++++++++++ camb/tests/spk_test.py | 213 ++++++++++++----------------- camb/tests/spk_validation_plots.py | 120 ++++++++++++++++ 3 files changed, 366 insertions(+), 124 deletions(-) create mode 100644 camb/tests/_spk_helpers.py create mode 100644 camb/tests/spk_validation_plots.py diff --git a/camb/tests/_spk_helpers.py b/camb/tests/_spk_helpers.py new file mode 100644 index 00000000..5650c6ce --- /dev/null +++ b/camb/tests/_spk_helpers.py @@ -0,0 +1,157 @@ +"""Shared utilities for SP(k) tests and validation scripts. + +Not collected by pytest (underscore prefix). +""" + +import numpy as np + +import camb +from camb.nonlinear import Halofit, SPkNonLinear # type: ignore[attr-defined] + + +class CambEFunc: + """Wrapper providing E(z) = H(z)/H0 from CAMB results, for pySPK.""" + + def __init__(self, results): + self._results = results + self._h0 = results.Params.H0 + + def efunc(self, z): + z_arr = np.asarray(z, dtype=float) + flat = z_arr.reshape(-1) + vals = np.array([self._results.hubble_parameter(float(zz)) / self._h0 for zz in flat], dtype=float) + vals = vals.reshape(z_arr.shape) + if np.isscalar(z): + return float(vals) + return vals + + +def get_pk(model_obj, z=0.5, kmax=12.0, k_per_logint=100): + """Run CAMB with the given NonLinearModel and return (k, pk, results).""" + pars = camb.CAMBparams() + pars.set_cosmology(H0=67.5, ombh2=0.02237, omch2=0.12, mnu=0.06) + pars.InitPower.set_params(As=2.1e-9, ns=0.965) + pars.set_matter_power(redshifts=[z], kmax=kmax, k_per_logint=k_per_logint) + pars.NonLinear = camb.model.NonLinear_both + pars.NonLinearModel = model_obj + results = camb.get_results(pars) + kh, _z, pk = results.get_nonlinear_matter_power_spectrum() + return kh, pk[0], results + + +def pyspk_kwargs(relation_kind, so, z, k, camb_results, params): + """Build keyword arguments for pyspk.sup_model().""" + base = {"SO": so, "z": z, "k_array": k, "errors": False} + if relation_kind == 1: + base.update({"fb_a": params["SPk_fb_a"], "fb_pow": params["SPk_fb_pow"], "fb_pivot": params["SPk_fb_pivot"]}) + elif relation_kind == 2: + base.update( + { + "alpha": params["SPk_alpha"], + "beta": params["SPk_beta"], + "gamma": params["SPk_gamma"], + "cosmo": CambEFunc(camb_results), + } + ) + elif relation_kind == 3: + base.update( + { + "epsilon": params["SPk_epsilon"], + "alpha": params["SPk_alpha"], + "beta": params["SPk_beta"], + "gamma": params["SPk_gamma"], + "m_pivot": params["SPk_m_pivot"], + "cosmo": CambEFunc(camb_results), + } + ) + else: + raise ValueError(f"Unknown relation kind {relation_kind}") + return base + + +def make_spk_model(relation_kind, so, params, halofit_version="mead2020"): + """Create a configured SPkNonLinear instance.""" + spk = SPkNonLinear() + spk.set_params( + halofit_version=halofit_version, + SPk_feedback=True, + SPk_SO=so, + SPk_relation_kind=relation_kind, + SPk_fb_a=params.get("SPk_fb_a", 1.0), + SPk_fb_pow=params.get("SPk_fb_pow", 0.0), + SPk_fb_pivot=params.get("SPk_fb_pivot", 1.0), + SPk_alpha=params.get("SPk_alpha", 0.0), + SPk_beta=params.get("SPk_beta", 0.0), + SPk_gamma=params.get("SPk_gamma", 0.0), + SPk_epsilon=params.get("SPk_epsilon", 0.0), + SPk_m_pivot=params.get("SPk_m_pivot", 1.0), + ) + return spk + + +def get_param_sets(relation_kind): + """Return a list of parameter dicts for the given relation kind.""" + if relation_kind == 1: + return [ + {"SPk_fb_a": 0.25, "SPk_fb_pow": 0.10, "SPk_fb_pivot": 1e14}, + {"SPk_fb_a": 0.40, "SPk_fb_pow": 0.30, "SPk_fb_pivot": 1e14}, + {"SPk_fb_a": 0.70, "SPk_fb_pow": 0.05, "SPk_fb_pivot": 5e13}, + ] + if relation_kind == 2: + return [ + {"SPk_alpha": 3.2, "SPk_beta": 1.0, "SPk_gamma": 0.10}, + {"SPk_alpha": 3.6, "SPk_beta": 1.2, "SPk_gamma": 0.20}, + {"SPk_alpha": 4.0, "SPk_beta": 0.9, "SPk_gamma": 0.05}, + ] + if relation_kind == 3: + return [ + {"SPk_epsilon": 0.45, "SPk_alpha": 0.2, "SPk_beta": 0.9, "SPk_gamma": 0.1, "SPk_m_pivot": 1e14}, + {"SPk_epsilon": 0.60, "SPk_alpha": 0.1, "SPk_beta": 1.1, "SPk_gamma": 0.2, "SPk_m_pivot": 8e13}, + {"SPk_epsilon": 0.80, "SPk_alpha": 0.3, "SPk_beta": 0.8, "SPk_gamma": 0.0, "SPk_m_pivot": 2e14}, + ] + raise ValueError(f"Unknown relation kind {relation_kind}") + + +def compute_suppression_data(relation_kinds, sos, redshifts, kmax=12.0): + """Compute SPk suppression curves for all (relation_kind, so, param_index, z) combos. + + Caches the base Halofit P(k) per redshift (only 1 CAMB run per z). + + Returns + ------- + dict keyed by (relation_kind, so, param_index, z) with values + (k, sup_camb, sup_ref, rel) + where rel = sup_camb / sup_ref - 1. + """ + import pyspk as _pyspk + + # One base CAMB run per redshift + base_cache = {} + for z in redshifts: + base = Halofit() + base.set_params(halofit_version="mead2020") + k_full, pk_full, results = get_pk(base, z=z, kmax=kmax) + mask = k_full < 12.0 + base_cache[z] = (k_full[mask], pk_full[mask], results) + + data = {} + for relation_kind in relation_kinds: + for ip, params in enumerate(get_param_sets(relation_kind)): + for so in sos: + for z in redshifts: + k, pk_base, results = base_cache[z] + + spk_model = make_spk_model(relation_kind, so, params) + k_spk, pk_spk_full, _ = get_pk(spk_model, z=z, kmax=kmax) + pk_spk = pk_spk_full[k_spk < 12.0] + + py_kw = pyspk_kwargs(relation_kind, so, z, k, results, params) + _, sup_ref = _pyspk.sup_model(**py_kw) + sup_camb = pk_spk / pk_base + + rel = np.full_like(sup_camb, np.nan) + valid = np.isfinite(sup_camb) & np.isfinite(sup_ref) & np.not_equal(sup_ref, 0.0) + rel[valid] = sup_camb[valid] / sup_ref[valid] - 1.0 + + data[(relation_kind, so, ip, z)] = (k, sup_camb, sup_ref, rel) + return data diff --git a/camb/tests/spk_test.py b/camb/tests/spk_test.py index 802bf14d..2894fd32 100644 --- a/camb/tests/spk_test.py +++ b/camb/tests/spk_test.py @@ -1,6 +1,7 @@ +import inspect import os import sys -import tempfile +import types import unittest import warnings @@ -12,121 +13,39 @@ sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..", ".."))) import camb +from camb.nonlinear import Halofit, SPkNonLinear # type: ignore[attr-defined] + +from _spk_helpers import get_pk, pyspk_kwargs + try: import pyspk except ImportError: - pyspk = None - - -class _CambEFunc: - def __init__(self, results): - self._results = results - self._h0 = results.Params.H0 - - def efunc(self, z): - z_arr = np.asarray(z, dtype=float) - flat = z_arr.reshape(-1) - vals = np.array([self._results.hubble_parameter(float(zz)) / self._h0 for zz in flat], dtype=float) - vals = vals.reshape(z_arr.shape) - if np.isscalar(z): - return float(vals) - return vals + pyspk: types.ModuleType | None = None # type: ignore[no-redef] class SPkTest(unittest.TestCase): - def _capture_c_stdout(self, call): - saved_fd = os.dup(1) - try: - with tempfile.TemporaryFile(mode="w+b") as tmp: - os.dup2(tmp.fileno(), 1) - call() - tmp.flush() - tmp.seek(0) - out = tmp.read().decode("utf-8", errors="replace") - finally: - os.dup2(saved_fd, 1) - os.close(saved_fd) - return out - - def _get_pk(self, model_obj, z=0.5): - pars = camb.CAMBparams() - pars.set_cosmology(H0=67.5, ombh2=0.02237, omch2=0.12, mnu=0.06) - pars.InitPower.set_params(As=2.1e-9, ns=0.965) - # Use dense transfer sampling to reduce interpolation noise in reference comparisons. - pars.set_matter_power(redshifts=[z], kmax=6.0, k_per_logint=100) - pars.NonLinear = camb.model.NonLinear_both - pars.NonLinearModel = model_obj - results = camb.get_results(pars) - k, _z, pk = results.get_matter_power_spectrum(minkh=1e-2, maxkh=5.0, npoints=28) - return k, pk[0], results - - def _get_pk_range(self, model_obj, z=0.125, kmax=12.0, npoints=400): - pars = camb.CAMBparams() - pars.set_cosmology(H0=67.5, ombh2=0.02237, omch2=0.12, mnu=0.06) - pars.InitPower.set_params(As=2.1e-9, ns=0.965) - pars.set_matter_power(redshifts=[z], kmax=kmax, k_per_logint=100) - pars.NonLinear = camb.model.NonLinear_both - pars.NonLinearModel = model_obj - results = camb.get_results(pars) - k, _z, pk = results.get_matter_power_spectrum(minkh=1e-4, maxkh=kmax, npoints=npoints) - return k, pk[0], results + def _get_pk(self, model_obj, z=0.5, kmax=5.0): + return get_pk(model_obj, z=z, kmax=kmax) def _assert_relation_match(self, relation_kind, z=0.5, so=200, rtol=1e-5, atol=1e-8, **kwargs): - base = camb.Halofit() + base = Halofit() base.set_params(halofit_version="mead2020") k, pk_base, results = self._get_pk(base, z=z) - spk = camb.SPkNonLinear() - spk.BaseModel.set_params(halofit_version="mead2020") - spk.set_params(SPk_feedback=True, SPk_SO=so, SPk_relation_kind=relation_kind, **kwargs) + spk = SPkNonLinear() + spk.set_params(halofit_version="mead2020", SPk_feedback=True, SPk_SO=so, SPk_relation_kind=relation_kind, **kwargs) _, pk_spk, _ = self._get_pk(spk, z=z) - cosmo = _CambEFunc(results) - pyspk_kwargs = { - "SO": so, - "z": z, - "k_array": k, - "errors": False, - } - if relation_kind == 1: - pyspk_kwargs.update( - { - "fb_a": kwargs["SPk_fb_a"], - "fb_pow": kwargs["SPk_fb_pow"], - "fb_pivot": kwargs["SPk_fb_pivot"], - } - ) - elif relation_kind == 2: - pyspk_kwargs.update( - { - "alpha": kwargs["SPk_alpha"], - "beta": kwargs["SPk_beta"], - "gamma": kwargs["SPk_gamma"], - "cosmo": cosmo, - } - ) - elif relation_kind == 3: - pyspk_kwargs.update( - { - "epsilon": kwargs["SPk_epsilon"], - "alpha": kwargs["SPk_alpha"], - "beta": kwargs["SPk_beta"], - "gamma": kwargs["SPk_gamma"], - "m_pivot": kwargs["SPk_m_pivot"], - "cosmo": cosmo, - } - ) - else: - raise ValueError("Unknown relation kind") - - k_ref, sup_ref = pyspk.sup_model(**pyspk_kwargs) + assert pyspk is not None + py_kwargs = pyspk_kwargs(relation_kind, so, z, k, results, kwargs) + k_ref, sup_ref = pyspk.sup_model(**py_kwargs) measured_sup = pk_spk / pk_base self.assertTrue(np.allclose(k_ref, k, rtol=0, atol=0)) self.assertTrue(np.allclose(measured_sup, sup_ref, rtol=rtol, atol=atol)) def test_spk_invalid_params(self): - model = camb.SPkNonLinear() + model = SPkNonLinear() with self.assertRaises(camb.CAMBValueError): model.set_params(SPk_SO=300) with self.assertRaises(camb.CAMBValueError): @@ -134,14 +53,28 @@ def test_spk_invalid_params(self): with self.assertRaises(camb.CAMBValueError): model.set_params(SPk_relation_kind=1, SPk_fb_pivot=0.0) + def test_spk_halofit_version_passthrough(self): + model = SPkNonLinear() + model.set_params(halofit_version="mead2016") + self.assertEqual(model.BaseModel.get_halofit_version(), "mead2016") + + def test_spk_rejects_mead2020_feedback_via_set_params(self): + model = SPkNonLinear() + with self.assertRaises(camb.CAMBValueError): + model.set_params(SPk_feedback=True, halofit_version="mead2020_feedback") + + def test_spk_cobaya_friendly_set_params_signature(self): + signature = inspect.signature(SPkNonLinear.set_params) + self.assertIn("halofit_version", signature.parameters) + self.assertNotIn("base_model", signature.parameters) + def test_spk_disabled_matches_base(self): - base = camb.Halofit() + base = Halofit() base.set_params(halofit_version="mead2020") k_base, pk_base, _ = self._get_pk(base) - spk = camb.SPkNonLinear() - spk.BaseModel.set_params(halofit_version="mead2020") - spk.set_params(SPk_feedback=False) + spk = SPkNonLinear() + spk.set_params(halofit_version="mead2020", SPk_feedback=False) k_spk, pk_spk, _ = self._get_pk(spk) self.assertTrue(np.allclose(k_base, k_spk, rtol=0, atol=0)) @@ -190,13 +123,13 @@ def test_spk_double_power_law_matches_reference(self): @unittest.skipIf(pyspk is None, "pyspk not installed") def test_spk_high_k_boundary_continuity(self): - base = camb.Halofit() + base = Halofit() base.set_params(halofit_version="mead2020") - k, pk_base, _ = self._get_pk_range(base, z=0.125, kmax=12.0, npoints=400) + k, pk_base, _ = self._get_pk(base, z=0.125, kmax=12.0) - spk = camb.SPkNonLinear() - spk.BaseModel.set_params(halofit_version="mead2020") + spk = SPkNonLinear() spk.set_params( + halofit_version="mead2020", SPk_feedback=True, SPk_SO=200, SPk_relation_kind=1, @@ -204,14 +137,19 @@ def test_spk_high_k_boundary_continuity(self): SPk_fb_pow=0.3, SPk_fb_pivot=1e14, ) - _, pk_spk, _ = self._get_pk_range(spk, z=0.125, kmax=12.0, npoints=400) + _, pk_spk, _ = self._get_pk(spk, z=0.125, kmax=12.0) + + # Mask to pySPK's calibrated range (CAMB's raw grid may exceed kmax slightly) + mask = k < 12.0 + k, pk_base, pk_spk = k[mask], pk_base[mask], pk_spk[mask] with warnings.catch_warnings(): warnings.filterwarnings( "ignore", - message=r"Scales with k_max > k_ny = 8\.0 \[h/Mpc\] may not be accurately reproduced by the model\.", + message=R"Scales with k_max > k_ny = 8\.0 \[h/Mpc\] may not be accurately reproduced by the model\.", category=UserWarning, ) + assert pyspk is not None _, sup_ref = pyspk.sup_model( SO=200, z=0.125, @@ -224,18 +162,18 @@ def test_spk_high_k_boundary_continuity(self): measured_sup = pk_spk / pk_base rel = np.abs(measured_sup / sup_ref - 1.0) - self.assertLess(float(np.max(rel[k <= 12.0])), 1e-4) + self.assertLess(float(np.max(rel)), 1e-4) - def test_spk_out_of_range_warnings(self): - pars = camb.CAMBparams() - pars.set_cosmology(H0=67.5, ombh2=0.02237, omch2=0.12, mnu=0.06) - pars.InitPower.set_params(As=2.1e-9, ns=0.965) - pars.set_matter_power(redshifts=[4.0, 1.0], kmax=20.0, k_per_logint=100) - pars.NonLinear = camb.model.NonLinear_both + def test_spk_out_of_range_behaviour(self): + """Verify suppression is skipped for z outside calibrated range and k is clamped.""" + # z=4 is beyond calibrated range [0, 3]: suppression should not be applied. + base = Halofit() + base.set_params(halofit_version="mead2020") + k_base, pk_base_z4, _ = self._get_pk(base, z=4.0, kmax=20.0) - spk = camb.SPkNonLinear() - spk.BaseModel.set_params(halofit_version="mead2020") + spk = SPkNonLinear() spk.set_params( + halofit_version="mead2020", SPk_feedback=True, SPk_SO=200, SPk_relation_kind=1, @@ -243,16 +181,43 @@ def test_spk_out_of_range_warnings(self): SPk_fb_pow=0.3, SPk_fb_pivot=1e14, ) - pars.NonLinearModel = spk + k_spk, pk_spk_z4, _ = self._get_pk(spk, z=4.0, kmax=20.0) + + # At z=4 (out of range), SPk should be identity — P(k) unchanged. + np.testing.assert_allclose(pk_spk_z4, pk_base_z4, rtol=1e-10) + + # At z=0.5 (in range) with k up to 20, k > 12 is clamped — suppression still applied. + _, pk_base_z05, _ = self._get_pk(base, z=0.5, kmax=20.0) + _, pk_spk_z05, _ = self._get_pk(spk, z=0.5, kmax=20.0) + sup = pk_spk_z05 / pk_base_z05 + # Suppression should differ from 1 for k in calibrated range. + mask = (k_spk > 0.1) & (k_spk <= 12.0) + self.assertFalse(np.allclose(sup[mask], 1.0, atol=1e-4)) + + def test_spk_class_selection_via_set_classes(self): + pars = camb.CAMBparams() + pars.set_classes(non_linear_model="SPkNonLinear") + self.assertEqual(pars.NonLinearModel.__class__.__name__, "SPkNonLinear") - camb.set_feedback_level(1) - try: - output = self._capture_c_stdout(lambda: camb.get_results(pars)) - finally: - camb.set_feedback_level(0) + pars.set_cosmology(H0=67.5, ombh2=0.02237, omch2=0.12, mnu=0.06) + pars.InitPower.set_params(As=2.1e-9, ns=0.965) + pars.set_matter_power(redshifts=[0.5], kmax=3.0) + pars.NonLinear = camb.model.NonLinear_both + pars.NonLinearModel.set_params( + halofit_version="mead2020", + SPk_feedback=True, + SPk_SO=200, + SPk_relation_kind=1, + SPk_fb_a=0.4, + SPk_fb_pow=0.2, + SPk_fb_pivot=1e14, + ) - self.assertIn("WARNING: SP(k) skipped outside calibrated redshift range.", output) - self.assertIn("WARNING: SP(k) input k exceeds calibrated range; clamping to k_max=", output) + data = camb.get_results(pars) + k, z, pk = data.get_matter_power_spectrum(minkh=1e-2, maxkh=1.0, npoints=8) + self.assertEqual(len(z), 1) + self.assertTrue(np.all(np.isfinite(k))) + self.assertTrue(np.all(np.isfinite(pk))) if __name__ == "__main__": diff --git a/camb/tests/spk_validation_plots.py b/camb/tests/spk_validation_plots.py new file mode 100644 index 00000000..e3f8b2e4 --- /dev/null +++ b/camb/tests/spk_validation_plots.py @@ -0,0 +1,120 @@ +import argparse +import json +import warnings +from pathlib import Path + +import matplotlib.pyplot as plt +import numpy as np + +from _spk_helpers import compute_suppression_data + + +_RELATION_NAMES = {1: "power_law", 2: "cosmo_power_law", 3: "double_power_law"} +_COLORS = ["#1f77b4", "#ff7f0e", "#2ca02c", "#d62728", "#9467bd"] + + +def _plot_validation(data, relation_kinds, redshifts, so, out_dir): + """3 rows (param sets) x 3 cols (relations), each cell has suppression + residual.""" + n_params = 3 + fig, axes = plt.subplots( + n_params * 2, + 3, + figsize=(18, n_params * 5), + squeeze=False, + gridspec_kw={"height_ratios": [3, 1] * n_params, "hspace": 0.08}, + ) + + for icol, relation_kind in enumerate(relation_kinds): + for ip in range(n_params): + ax_top = axes[ip * 2, icol] + ax_bot = axes[ip * 2 + 1, icol] + + for ic, z in enumerate(redshifts): + k, sup_camb, sup_ref, rel = data[(relation_kind, so, ip, z)] + color = _COLORS[ic % len(_COLORS)] + ax_top.plot(k, sup_camb, lw=1.6, color=color, label=f"z={z}" if icol == 0 and ip == 0 else None) + ax_top.plot(k, sup_ref, lw=1.0, ls="--", color="k", + label="pySPK" if ic == 0 and icol == 0 and ip == 0 else None) + ax_bot.plot(k, rel, lw=1.2, color=color) + + ax_top.axvline(8.0, color="grey", ls=":", lw=0.9, alpha=0.6) + ax_top.set_xscale("log") + ax_top.grid(True, alpha=0.25) + ax_top.tick_params(labelbottom=False) + + if ip == 0: + ax_top.set_title(f"{_RELATION_NAMES[relation_kind]} (kind={relation_kind})") + + ax_bot.axhline(0.0, color="k", lw=0.6, alpha=0.5) + ax_bot.axvline(8.0, color="grey", ls=":", lw=0.9, alpha=0.6) + ax_bot.set_xscale("log") + ax_bot.grid(True, alpha=0.25) + + if ip == n_params - 1: + ax_bot.set_xlabel("k [h/Mpc]") + else: + ax_bot.tick_params(labelbottom=False) + + for ip in range(n_params): + if icol == 0: + axes[ip * 2, 0].set_ylabel(f"param_set {ip + 1}\n" + R"$P_{\mathrm{hydro}}/P_{\mathrm{DM}}$") + axes[ip * 2 + 1, 0].set_ylabel(R"$S_{\mathrm{CAMB}}/S_{\mathrm{pySPK}} - 1$") + + axes[0, 0].legend(fontsize=8, loc="lower left") + + fig.suptitle( + f"SP(k) validation: CAMB Fortran (colour) vs pySPK (black dashed), SO={so}", + fontsize=12, + ) + fig.tight_layout(rect=(0, 0, 1, 0.97)) + fig.savefig(out_dir / f"spk_validation_SO{so}.png", dpi=200, bbox_inches="tight") + plt.close(fig) + + +def _write_summary(data, out_dir): + """Write JSON summary of max/mean/p95 relative errors across all combinations.""" + rels = [] + for (_rk, _so, _ip, _z), (k, _sup_camb, _sup_ref, rel) in data.items(): + finite = rel[np.isfinite(rel)] + if len(finite): + rels.append(finite) + all_rel = np.concatenate(rels) if rels else np.array([]) + summary = { + "evaluations": len(data), + "max_rel_err": float(np.max(np.abs(all_rel))) if len(all_rel) else float("nan"), + "mean_rel_err": float(np.mean(np.abs(all_rel))) if len(all_rel) else float("nan"), + "p95_rel_err": float(np.quantile(np.abs(all_rel), 0.95)) if len(all_rel) else float("nan"), + } + json_path = out_dir / "spk_summary.json" + json_path.write_text(json.dumps(summary, indent=2), encoding="utf-8") + return json_path, summary + + +def main(): + parser = argparse.ArgumentParser(description="Generate SP(k) validation plots and summary.") + parser.add_argument("--out-dir", default="spk_validation") + args = parser.parse_args() + + out_dir = Path(args.out_dir) + out_dir.mkdir(parents=True, exist_ok=True) + + relation_kinds = [1, 2, 3] + sos = [200, 500] + redshifts = [0.125, 0.5, 1.0, 2.0, 3.0] + + with warnings.catch_warnings(): + warnings.filterwarnings("ignore", category=UserWarning) + data = compute_suppression_data(relation_kinds, sos, redshifts) + + for so in sos: + _plot_validation(data, relation_kinds, redshifts, so=so, out_dir=out_dir) + + json_path, summary = _write_summary(data, out_dir) + + print(f"Wrote plots to {out_dir}") + print(f"Wrote {json_path}") + print(json.dumps(summary, indent=2)) + + +if __name__ == "__main__": + main() From ceb799a67df588367e9a43cbc37cef1007ffd647 Mon Sep 17 00:00:00 2001 From: Jaime Salcido Date: Tue, 19 May 2026 21:41:49 +0100 Subject: [PATCH 17/32] refactor: clean up import statements and improve code formatting in test files --- camb/tests/spk_test.py | 8 +++++--- camb/tests/spk_validation_plots.py | 7 +++---- 2 files changed, 8 insertions(+), 7 deletions(-) diff --git a/camb/tests/spk_test.py b/camb/tests/spk_test.py index 2894fd32..3d7a0cd0 100644 --- a/camb/tests/spk_test.py +++ b/camb/tests/spk_test.py @@ -13,10 +13,10 @@ sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..", ".."))) import camb -from camb.nonlinear import Halofit, SPkNonLinear # type: ignore[attr-defined] - from _spk_helpers import get_pk, pyspk_kwargs +from camb.nonlinear import Halofit, SPkNonLinear # type: ignore[attr-defined] + try: import pyspk except ImportError: @@ -33,7 +33,9 @@ def _assert_relation_match(self, relation_kind, z=0.5, so=200, rtol=1e-5, atol=1 k, pk_base, results = self._get_pk(base, z=z) spk = SPkNonLinear() - spk.set_params(halofit_version="mead2020", SPk_feedback=True, SPk_SO=so, SPk_relation_kind=relation_kind, **kwargs) + spk.set_params( + halofit_version="mead2020", SPk_feedback=True, SPk_SO=so, SPk_relation_kind=relation_kind, **kwargs + ) _, pk_spk, _ = self._get_pk(spk, z=z) assert pyspk is not None diff --git a/camb/tests/spk_validation_plots.py b/camb/tests/spk_validation_plots.py index e3f8b2e4..c1e98283 100644 --- a/camb/tests/spk_validation_plots.py +++ b/camb/tests/spk_validation_plots.py @@ -5,10 +5,8 @@ import matplotlib.pyplot as plt import numpy as np - from _spk_helpers import compute_suppression_data - _RELATION_NAMES = {1: "power_law", 2: "cosmo_power_law", 3: "double_power_law"} _COLORS = ["#1f77b4", "#ff7f0e", "#2ca02c", "#d62728", "#9467bd"] @@ -33,8 +31,9 @@ def _plot_validation(data, relation_kinds, redshifts, so, out_dir): k, sup_camb, sup_ref, rel = data[(relation_kind, so, ip, z)] color = _COLORS[ic % len(_COLORS)] ax_top.plot(k, sup_camb, lw=1.6, color=color, label=f"z={z}" if icol == 0 and ip == 0 else None) - ax_top.plot(k, sup_ref, lw=1.0, ls="--", color="k", - label="pySPK" if ic == 0 and icol == 0 and ip == 0 else None) + ax_top.plot( + k, sup_ref, lw=1.0, ls="--", color="k", label="pySPK" if ic == 0 and icol == 0 and ip == 0 else None + ) ax_bot.plot(k, rel, lw=1.2, color=color) ax_top.axvline(8.0, color="grey", ls=":", lw=0.9, alpha=0.6) From 41d5aabf669828c71ff7afc9a3e3bb5689093bd5 Mon Sep 17 00:00:00 2001 From: Jaime Salcido Date: Tue, 19 May 2026 22:35:47 +0100 Subject: [PATCH 18/32] fix: update SP(k) relation descriptions for clarity and consistency --- camb/nonlinear.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/camb/nonlinear.py b/camb/nonlinear.py index 453c1aee..f6d4a7b0 100644 --- a/camb/nonlinear.py +++ b/camb/nonlinear.py @@ -191,13 +191,13 @@ def set_params( **SP(k) relation kinds:** - **kind=1** (power_law): - ``f_b / (Omega_b/Omega_m) = a * (M_SO / M_pivot)^b`` + ``f_b / (Omega_b/Omega_m) = SPk_fb_a * (M / SPk_fb_pivot)^SPk_fb_pow`` - **kind=2** (cosmo_power_law): - ``f_b / (Omega_b/Omega_m) = (exp(alpha)/100) * (M_500c/1e14)^(beta-1) * (E(z)/E(0.3))^gamma`` + ``f_b / (Omega_b/Omega_m) = (exp(SPk_alpha)/100) * (M_500c/1e14)^(SPk_beta - 1) * (E(z)/E(0.3))^SPk_gamma`` - **kind=3** (double_power_law): - ``f_b / (Omega_b/Omega_m) = 0.5 * eps * ((M/M_piv)^alpha + (M/M_piv)^beta) * (E(z)/E(0.3))^gamma`` + ``f_b / (Omega_b/Omega_m) = 0.5 * SPk_epsilon * ((M/SPk_m_pivot)^SPk_alpha + (M/SPk_m_pivot)^SPk_beta) * (E(z)/E(0.3))^SPk_gamma`` :param SPk_feedback: If True, apply SP(k) suppression on top of the base model. :param SPk_SO: Spherical overdensity calibration (200 or 500). From a36d2577c28722051ea3f80d5bb7b6c0c8b4abbe Mon Sep 17 00:00:00 2001 From: Jaime Salcido Date: Tue, 19 May 2026 22:38:08 +0100 Subject: [PATCH 19/32] Update SPK demo --- docs/SPk_demo.ipynb | 80 +++++++++++++++++++++++++-------------------- 1 file changed, 44 insertions(+), 36 deletions(-) diff --git a/docs/SPk_demo.ipynb b/docs/SPk_demo.ipynb index db4299e5..f5ca989d 100644 --- a/docs/SPk_demo.ipynb +++ b/docs/SPk_demo.ipynb @@ -10,17 +10,19 @@ "This notebook compares non-linear matter power with and without SP(k), then validates the SP(k) suppression curve against `pyspk`.\n", "\n", "## What this notebook does\n", + "\n", "1. Build a baseline non-linear model (`mead2020`) and an SP(k)-enabled model with the same cosmology.\n", "2. Plot the full spectra and the suppression ratio.\n", "3. Compare CAMB SP(k) vs `pyspk` suppression and show relative error.\n", "\n", "## Notes\n", - "- SP(k) should not be combined with HMCode baryon-feedback models (e.g. `halofit_version='mead2020_feedback'`)." + "\n", + "- SP(k) should not be combined with HMCode baryon-feedback models (e.g. `halofit_version='mead2020_feedback'`).\n" ] }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 1, "id": "b82be437", "metadata": {}, "outputs": [ @@ -28,7 +30,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Using CAMB 1.6.7 installed at /Users/jaimesalcido/CAMB/camb\n", + "Using CAMB 1.6.7 installed at /cosma8/data/dp004/fkgm22/camb_dev/CAMB/camb\n", "Using pyspk 2.0.0\n" ] } @@ -55,7 +57,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 2, "id": "e37d95d6", "metadata": {}, "outputs": [ @@ -85,20 +87,20 @@ "results_base = camb.get_results(pars_base)\n", "kh0, z0, pk0 = results_base.get_matter_power_spectrum(minkh=minkh, maxkh=maxkh, npoints=npoints)\n", "\n", - "# SP(k) on top of the same base model\n", + "# SP(k) on top of the same base model (kind=1, power_law)\n", "pars_spk = camb.set_params(H0=67.5, ombh2=0.022, omch2=0.122, As=2e-9, ns=0.965)\n", "pars_spk.set_matter_power(redshifts=z_samples, kmax=maxkh, k_per_logint=k_per_logint, silent=True)\n", "pars_spk.NonLinear = model.NonLinear_both\n", "\n", "spk_model = camb.SPkNonLinear()\n", - "spk_model.BaseModel.set_params(halofit_version=\"mead2020\")\n", "spk_model.set_params(\n", " SPk_feedback=True,\n", " SPk_SO=200,\n", " SPk_relation_kind=1,\n", " SPk_fb_a=0.4,\n", " SPk_fb_pow=0.3,\n", - " SPk_fb_pivot=1e14,\n", + " SPk_fb_pivot=10**13.5,\n", + " halofit_version=\"mead2020\",\n", ")\n", "pars_spk.NonLinearModel = spk_model\n", "\n", @@ -114,13 +116,13 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 3, "id": "942282a9", "metadata": {}, "outputs": [ { "data": { - "image/png": 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" ] @@ -138,16 +140,18 @@ "# Plot non-linear vs non-linear+SP(k)\n", "from matplotlib.lines import Line2D\n", "\n", - "fig, ax = plt.subplots(1, 2, figsize=(12, 4))\n", + "fig, axes = plt.subplots(1, 2, figsize=(12, 4), squeeze=False)\n", + "ax_pk = axes[0, 0]\n", + "ax_sup = axes[0, 1]\n", "linestyles = [\"-\", \"--\", \":\", \"-.\"]\n", "\n", "for i, redshift in enumerate(z):\n", " ls = linestyles[i % len(linestyles)]\n", - " ax[0].loglog(kh0, pk0[i, :], color=\"C3\", ls=ls)\n", - " ax[0].loglog(kh1, pk1[i, :], color=\"C0\", ls=ls)\n", - "ax[0].set_xlabel(\"k/h Mpc\")\n", - "ax[0].set_ylabel(\"P(k) [(Mpc/h)^3]\")\n", - "ax[0].set_title(\"Non-linear matter power\")\n", + " ax_pk.loglog(kh0, pk0[i, :], color=\"C3\", ls=ls)\n", + " ax_pk.loglog(kh1, pk1[i, :], color=\"C0\", ls=ls)\n", + "ax_pk.set_xlabel(\"k/h Mpc\")\n", + "ax_pk.set_ylabel(\"P(k) [(Mpc/h)^3]\")\n", + "ax_pk.set_title(\"Non-linear matter power\")\n", "\n", "model_handles = [\n", " Line2D([], [], color=\"C3\", lw=2, label=\"non-linear\"),\n", @@ -157,18 +161,18 @@ " Line2D([], [], color=\"k\", lw=2, ls=linestyles[i % len(linestyles)], label=f\"z={float(redshift):g}\")\n", " for i, redshift in enumerate(z)\n", "]\n", - "leg_model = ax[0].legend(handles=model_handles, loc=\"lower left\")\n", - "ax[0].add_artist(leg_model)\n", - "ax[0].legend(handles=redshift_handles, title=\"Redshift\", loc=\"upper right\")\n", + "leg_model = ax_pk.legend(handles=model_handles, loc=\"lower left\")\n", + "ax_pk.add_artist(leg_model)\n", + "ax_pk.legend(handles=redshift_handles, title=\"Redshift\", loc=\"upper right\")\n", "\n", "for i, redshift in enumerate(z):\n", " ls = linestyles[i % len(linestyles)]\n", - " ax[1].semilogx(kh0, pk1[i, :] / pk0[i, :], ls=ls, label=f\"z={float(redshift):g}\")\n", - "ax[1].axhline(1.0, color=\"k\", lw=1)\n", - "ax[1].set_xlabel(\"k/h Mpc\")\n", - "ax[1].set_ylabel(\"P_nl(SPk) / P_nl\")\n", - "ax[1].set_title(\"Suppression ratio\")\n", - "ax[1].legend(loc=\"lower left\")\n", + " ax_sup.semilogx(kh0, pk1[i, :] / pk0[i, :], ls=ls, label=f\"z={float(redshift):g}\")\n", + "ax_sup.axhline(1.0, color=\"k\", lw=1)\n", + "ax_sup.set_xlabel(\"k/h Mpc\")\n", + "ax_sup.set_ylabel(\"P_nl(SPk) / P_nl\")\n", + "ax_sup.set_title(\"Suppression ratio\")\n", + "ax_sup.legend(loc=\"lower left\")\n", "\n", "plt.tight_layout()" ] @@ -182,12 +186,12 @@ "\n", "- Top panel: suppression factor from CAMB SP(k) and `pyspk` (should overlap closely).\n", "- Bottom panel: relative error, defined as `CAMB / pyspk - 1`, shown on a ±1% axis.\n", - "- Vertical dashed line at `k=8 h/Mpc`: approximate `pyspk` Nyquist reference." + "- Vertical dashed line at `k=8 h/Mpc`: approximate `pyspk` Nyquist reference.\n" ] }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 4, "id": "69a98f59", "metadata": {}, "outputs": [ @@ -196,14 +200,14 @@ "output_type": "stream", "text": [ "Max relative error between CAMB SP(k) and pyspk:\n", - "z=0: k<=8 -> 4.41e-06, k<=12 -> 1.05e-04\n", - "z=0.125: k<=8 -> 3.66e-06, k<=12 -> 8.42e-05\n", - "z=1: k<=8 -> 9.76e-07, k<=12 -> 1.52e-06\n" + "z=0: k<=8 -> 2.10e-09, k<=12 -> 9.03e-05\n", + "z=0.125: k<=8 -> 2.00e-09, k<=12 -> 6.55e-05\n", + "z=1: k<=8 -> 2.15e-09, k<=12 -> 8.01e-05\n" ] }, { "data": { - "image/png": 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uXOnr3bt3oO3w4cPD9heu32jGlPJccMEFIZ+7JllWnH9ZAwYMCHktNzfXV79+/cDrH3/8caUy14xlZ9lzqampvpycnFLvs/PB/77x48c7z9VE5pplPwVnQtpn9ng8vqpYvnx5INPQxowtW7aU2d5e949H9r5ly5aFvP7II4+EZCD/+eefYfuxc3j69Om+Sy+91DlmqyJ4G/rHUxvPS37f2Tl//PHHB9paVm+4bO6srCxfSkpK4DOWl1U6b968QJ/JyclORllNbJPa+N4oadOmTU4mnv91OxcsOxUAAOxZCK4BAACgVh111FGlSjTZhTq7OHXWWWf5Hn30Ud8vv/wSthRhdQTXLJBnpfqCS++VdM899wRet4uRVQmu2UXe4BJqFlyxIEVFnH/++YH3W5CuKoJLe1Wl7FhNB9f8F2SXLFkSsU8LFgUfQ5Haljze3nrrrYh9WgDMgjT+ti+++GK5wZdoy/wFl6176KGHymybnZ3tXHCOVJr0008/rfAxGo4FuP2BKbt4XlnRBNdeeumlQBu7wP3bb79F7M8upvuDh3Z79dVXo9oPzz77bMQ+586dGwiY2F8LOtZWcO3QQw8N9GelEmtSt27dAsuy8bSs8cSCKpUNrt11112B58MFq/3rYeOtBWcrG1zr3r277/LLLw+52Zh69tlnO4G04HKbQ4YMcQIf1eGggw4K9PvMM8+U2fbpp58OtLXAeEkWuPa/Hi6gXBOCt6HdrCRopKCjfd/6S3j6f3gRzkUXXVRumVm/a6+9NtD2vPPOq7FtUhvfG8EsiOYPLPuDuRs3bqz0+gMAgF2Xe2dlzAEAAGDPZKXIrJRSMLuOZaXrxo0bp6uvvtop1dewYUOdeuqpIeXNqsrKxllJxIyMjMBz//jHP0q1++uvvwL327RpU+nlFRYW6rTTTguUT0tLS9M333yj0aNHV6gfKzfl5y9rVVnBpR6tfGBdZmXMgkuJlnTBBRcESnbaMfTCCy+U26eVizvllFMivt6rVy9dfvnlgcfPP/98uX1amc4bb7yxzDZW2sxKExorfVZeOdDk5GTdeuutYUvOVed+9PdjJUGtFFtNevbZZwP3L730Umc7RGKlSi+66KLA46effrrc/q3Uo5Wui6R3795Ov/7jxV8GtDZs3bo1cN/Gtppi5e6stKiJjY11xtCSgstEfvbZZyHrVhFW+tBK7/lLQwazkqb+9bCSiomJiaqsP//8U08++WTIzcZUW6btQ9uXVtrXSqT+9NNPTknW6hBc2vH1118vs23w6yVLQtaFcdf2k5XEtdKL4dixYq/72XYMV042+Jx85ZVXnFKS4VjZW/s+j1QSsia3SU18b/jNmzfPKVXr3zZWWtL+jVLXv0sBAEDNILgGAACAWmUX8D/44AN9/vnnGjFiRMSLfTb319tvv+3MDXPMMceUmictksWLF+uKK64IuZ1//vnO/Ep9+vRxLo75nXzyyWHn0tmwYUPgvs3ZVNn5WMaMGaN33nknEICxuaOGDBlS4b6CLxavX79eVdG2bdvA/WeeeUZ1mc3rVJE20QRio+nznHPOCdy3+c7sWCyLzVlmF6fL4p/nyljA1R+UKIsd+36TJ0+OuB/tfLL53SrD34+dX3a+1RSbXyk4mGXnZHmCL8hHsx+imRcrOKBXVqDa5lj7u9JLledbM/45Dk1NBjFfffXVwH37IYHNPVeSzSHXvn37wA8Axo8fX6lltWvXzpmbznz33Xdat25d2PWI5pyrKvvBhAVWbcy1+deqgx1PNu+gsbm5bN6ycOw48s/3ZvM32vdKXRt3LSBUVsDJH5wOPj/CjacWnPbPQ2nzoX399ddh+/rkk08C8yraHGS2/NraJjXxveEPXNuPM+xz+8d9G9dr+kcJAACg7iK4BgAAgJ3CsrcmTJjgBIssAGWZPHbhKtyFKrtQZ68FX6COZO3ataWyHF5++WX98ssvzoVyY4ENW55lPoQLcgRfxLeMnoravHmzExj59ttvncddu3Z1Ls5a5kxlBK9DeQGG8gRf+P3Xv/6lww47zNk+1XVBurpYQLFLly7lths8eHDg/uzZswP7OJr2ZV1k9h+HlpkxZ86cMtv7syDKuzAbfDG3ZAA43O2OO+4IvGfVqlUh/Vmw2H9xeuXKlU7G3Q033OBknFjApDLHgwX9jj/+eCfIVtlgXSS2Df1ZLrZtLdBdHruIbxl8xt5r2X/l7bfyBAfLgzNnalpqampI4L0mFBQUhARIgzPUgtmYd8YZZ4QNhFWUP0hh+8efvWXHn389OnbsqAMPPFBVYcFuf6Az+Jabm+tkx1lWoy3HfPnll07mc1UzfP0ZhhasM7a8ktmjfva8f9yx9pahXNZ5ZoGk/fbbz/luWrJkiWpDNONeyXazZs0K2yY4O/TFF18M2yb4ecsUC6cmtklNfW9YEM2+K/0/8rnkkkucY9yCqQAAYM9FcA0AAAA7lZVTsgyBhx9+2MnssotXFiCwzJbgbCDLOLvlllsqtQwrSdaiRQsny+L//u//nIt3tjx/VkJZyrvoFs5NN93kZNoYCyJY1lGHDh0qte6VXYeysoGOPfbYwGPLOLFtbYEay2axkmZ2YdQChDuTZcVUtJ0FF8oLwEbTrwUfgsuB+jMwIommJJgFff0sAFAyABzu5i8nakpmbsbFxTll1/xBQNtf999/vw466CCnRJ4Fo+18saBuWcePnQ8WqDPW7sMPP3RKCTZv3lzdunVzLoxbKddoAttlCd6GdqxFk7lnWa3B2S3lHZP2uctj2y24dF1tadSoUeD+tm3bamQZH3/8caDv+vXr6+ijj47YNjjwZmPVggULKrVMy97xB//9ZQA//fTTwPFqy4lmX1dGUlKS88OFsWPHOgESf8DWzrXzzjuvWpYRXOKxrOBauPbBLIvwyiuvDNnmFkC39bfvJtuOTzzxRI39yKEy42mkcc8Cs/6gt+3rku3sM/gz2iz4FCmTrCa2SU19b1j2vAVz/T9KsWBgpKx7AACw5+BfAwAAAKhTLKBmmQ4W4Jk0aVJIJpvNf5WXl1fm+63kWckMB3uPlSyzjKH//ve/6tSpU5l9+C8cmvKWV94FfCsxWdVAVfA6BK9bZcTExDhlBG2eGSvXFcwyoOxCsQXgrIyl/a3sfExVFW3GYMntUd5F0sr0W16fdpG/PMHz/FVGuLmN7Fi3bC67eB28Dvn5+U5A9+6773bOpe7du+ujjz6K+DntPLPAXMkAsJVYfemll5yL6Xax2zLjKnM+lMzWqsgxXJH9UFNBnOoQvG3nz59fI8sIzkA74YQTyjwu7ZgYMGBA2PdWhI3Plu1o5s6d62Q7Bc+/VhslIf3BxAceeCDw2Ep5VsecepaJ5g+M2n4rmc3122+/BQKTlrHmz3QLx+Y0s7HXMrSC2XfE+++/7wSaLOhjQSUbi6tTdY57tq3981ZagLrkfHs2F5vX6w0EpcqaA6+6t0lNfW8Ef6dbtmRtBuYBAEDdRXANAAAAdZbN03LzzTeHBA38GWE1yQIJfpUJjN1zzz2Bi4V2kdBKRFblgnpwZkDwulWWBSEsI8myARcuXKjnnnvOKb0WHHS0i4cW4LTPUV7mVjT8F1uj5c8SKE/JMpnB5feqq9/y+qzoxVy7mByuzF15t3Bsn1lgxPbRV1995WSiDR8+PCSwYheDjzvuOD300ENh+7Dskuuvv17Lli1zMoDsgrdlr7Vu3Tpku1kAzvquTIAtOEhekdKm1b0fdpbg0ohWcrM6yhYGs/K6wfNfWalXO8/LugUHn6ykY0XP0XABtAcffNDJzDQ2v2R583xVJ8tMDs5GtqzcqrJzI3guv5LZa8GPg+doi8TOQytRbPO32Xlr5QWDf+Rg57kFlfr37++ct9Wluse9iy66KGwJSFt/O/bCzZtYG9ukpr43Pvvss8CYauO3jY8E2AAAAME1AAAA1GlHHHFEyGPLQKtp/vl7TGXKdFl5OptPrmSArbKl19asWRO4X5XykuFY6T+7UGrZBkuXLnWCbddee62T4WbsueC5v8L9kr+4uLjaM7dKzjEWTTu7sF3eRdJosh/sYm7wNi8r8yJaVmYxOBBS3Sx4Z2XWLDPz+++/15YtW/Tuu++GzENm5UqDP1dJFnDp27evky0yfvx459i3zJzgEnt2EdxKVlZUcOlM6zeaUqcW7Anev9WxH3YWC0oGZ9ZZqc3qZEGecNmN0bLjwj9HZEUdeuihgUCsrYc/6FBbWWvBY1LwnHoWrKkOwaUe7bzwByHtrz0ub467cCwby7aPlRe0HznYuGTjrD/zys5fG4erS7SZcNGeb1ZK1l+G077X/HNKWna4BemNlRm2ecpqc5vU1PeGfX+HC7BF890HAAB2XwTXAAAAUKfZfGnBopknrar8Fw2NBZsqwx9gGzhwYCDAZhfYKxNgC36PBT9qkgXbLPskOKD2ySefhC0N5mcXPctjJeMqwjKxLLBXHv9FXbPPPvuUWxpw2rRp5fb5xx9/BMqEWZCxOrb5oEGDAvdtHrSaZheBrZSalcfzB/YKCwtDspui0a9fP6c0ZHAGSrjjIZpzyh+wtW0bzfFgJS/9GSbVtR92Fgs0jBo1KvD42WefjTrLJhrBZR0tAG/HWzS3li1bhu2jImzuKSsdWnLcPvnkk1Xbgrdpdc2JZRl4/h9c2HxuFkAyFsT2/9jDXrd2lWVzC/773/92soj97PvD5gOrDtGMeyXHU8sUK0u47LXgLDYLyldlH1Rmm9TU94Y/wGZzzAUH2Kw8JgE2AAD2XATXAAAAUKfZBfaSv26vaRYQ819ss3KOlb14ZgG2b775pkoBNsuOsGCPX8m5aWrK0UcfHbhv611ScAadlRIszzvvvFPhdRg3blyF2ti2LY+VvytP8BxCtu+qOs+dOfLIIwP37aJsuG1aE2y+qOCL/pVdbnnHQ3ksMyR4ji/LlCxP8IV6O+6rYz/sTP/6178C9y0r58Ybb6xUPzamBLN5wIKDlVZCz4Ip0dwef/zxwPs+/PB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" ] @@ -219,6 +223,7 @@ ], "source": [ "# Verify suppression factor against pyspk and show implementation error\n", + "# kind=1 (power_law) has no cosmology dependence — no cosmo object needed\n", "pyspk_sup_list = []\n", "for redshift in z:\n", " k_pyspk, sup_pyspk = pyspk.sup_model(\n", @@ -226,9 +231,8 @@ " z=float(redshift),\n", " fb_a=0.4,\n", " fb_pow=0.3,\n", - " fb_pivot=1e14,\n", + " fb_pivot=10**13.5,\n", " k_array=kh0,\n", - " errors=False,\n", " verbose=False,\n", " )\n", " assert np.allclose(k_pyspk, kh0)\n", @@ -237,13 +241,17 @@ "k_compare_max = 12.0\n", "mask_plot = kh0 <= k_compare_max\n", "\n", - "fig2, (ax2, ax3) = plt.subplots(\n", + "fig2, axes2 = plt.subplots(\n", " 2,\n", " 1,\n", " figsize=(10, 8),\n", " sharex=True,\n", + " squeeze=False,\n", " gridspec_kw={\"height_ratios\": [3, 1], \"hspace\": 0.12},\n", ")\n", + "ax2 = axes2[0, 0]\n", + "ax3 = axes2[1, 0]\n", + "\n", "colors = [\"C0\", \"C1\", \"C2\"]\n", "camb_handles = []\n", "pyspk_handle = None\n", @@ -269,7 +277,7 @@ "\n", "ax2.axhline(1.0, color=\"k\", lw=1, alpha=0.4)\n", "ax2.set_ylabel(\"Suppression factor\")\n", - "ax2.set_title(\"SP(k) suppression: CAMB vs pyspk\")\n", + "ax2.set_title(\"SP(k) suppression: CAMB vs pyspk (kind=1, power_law)\")\n", "if pyspk_handle is not None:\n", " ax2.legend(handles=[*camb_handles, pyspk_handle], loc=\"lower left\", fontsize=9)\n", "else:\n", @@ -309,7 +317,7 @@ ], "metadata": { "kernelspec": { - "display_name": ".venv", + "display_name": "Python 3", "language": "python", "name": "python3" }, @@ -323,7 +331,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.13.7" + "version": "3.12.4" } }, "nbformat": 4, From 02d5c4e8bcbaaca1fdb8645808ac66cf1402ff37 Mon Sep 17 00:00:00 2001 From: Jaime Salcido Date: Tue, 19 May 2026 22:38:39 +0100 Subject: [PATCH 20/32] refactor: replace CambEFunc with make_cosmo for creating pyspk-compatible cosmology objects --- camb/tests/_spk_helpers.py | 25 ++++++++----------------- 1 file changed, 8 insertions(+), 17 deletions(-) diff --git a/camb/tests/_spk_helpers.py b/camb/tests/_spk_helpers.py index 5650c6ce..6d5a8bbd 100644 --- a/camb/tests/_spk_helpers.py +++ b/camb/tests/_spk_helpers.py @@ -3,27 +3,18 @@ Not collected by pytest (underscore prefix). """ +from types import SimpleNamespace + import numpy as np import camb from camb.nonlinear import Halofit, SPkNonLinear # type: ignore[attr-defined] -class CambEFunc: - """Wrapper providing E(z) = H(z)/H0 from CAMB results, for pySPK.""" - - def __init__(self, results): - self._results = results - self._h0 = results.Params.H0 - - def efunc(self, z): - z_arr = np.asarray(z, dtype=float) - flat = z_arr.reshape(-1) - vals = np.array([self._results.hubble_parameter(float(zz)) / self._h0 for zz in flat], dtype=float) - vals = vals.reshape(z_arr.shape) - if np.isscalar(z): - return float(vals) - return vals +def make_cosmo(results): + """Create a pyspk-compatible cosmo object from CAMB results (E(z) = H(z)/H(0)).""" + h0_inv = 1.0 / results.h_of_z(0.0) + return SimpleNamespace(efunc=lambda z: results.h_of_z(z) * h0_inv) def get_pk(model_obj, z=0.5, kmax=12.0, k_per_logint=100): @@ -50,7 +41,7 @@ def pyspk_kwargs(relation_kind, so, z, k, camb_results, params): "alpha": params["SPk_alpha"], "beta": params["SPk_beta"], "gamma": params["SPk_gamma"], - "cosmo": CambEFunc(camb_results), + "cosmo": make_cosmo(camb_results), } ) elif relation_kind == 3: @@ -61,7 +52,7 @@ def pyspk_kwargs(relation_kind, so, z, k, camb_results, params): "beta": params["SPk_beta"], "gamma": params["SPk_gamma"], "m_pivot": params["SPk_m_pivot"], - "cosmo": CambEFunc(camb_results), + "cosmo": make_cosmo(camb_results), } ) else: From 54c985740dff4f8a92a77db326ab3a199ad85afb Mon Sep 17 00:00:00 2001 From: Jaime Salcido Date: Tue, 19 May 2026 22:45:33 +0100 Subject: [PATCH 21/32] feat: add initial parameters for SP(k) baryonic suppression configuration --- inifiles/params_spk.ini | 46 +++++++++++++++++++++++++++++++++++++++++ 1 file changed, 46 insertions(+) create mode 100644 inifiles/params_spk.ini diff --git a/inifiles/params_spk.ini b/inifiles/params_spk.ini new file mode 100644 index 00000000..41ed6cd6 --- /dev/null +++ b/inifiles/params_spk.ini @@ -0,0 +1,46 @@ +# Example parameters for SP(k) baryonic suppression +# +# This file sets SP(k) and Halofit options once the SPkNonLinear model is selected. +# In Python, select it with: +# pars.set_classes(non_linear_model='SPkNonLinear') + +DEFAULT(params.ini) + +output_root = test_spk + +# Only compute matter power spectrum, skip CMB and lensing +get_scalar_cls = F +get_tensor_cls = F +get_transfer = T +do_lensing = F + +# 0: linear, 1: non-linear matter power, 2: non-linear CMB lensing, 3: both +# SP(k) acts on top of the configured non-linear model. +do_nonlinear = 1 + +# Base non-linear model setting (default in this branch is mead2020) +# Keep this as a non-feedback mode when SPk_feedback = T. +# Values: 1=original, 4=takahashi, 5=mead2016, 8=mead2015, 9=mead2020, 10=mead2020_feedback +halofit_version = 9 + +# SP(k) switch and calibration choice +SPk_feedback = T +SPk_SO = 200 +SPk_relation_kind = 1 + +# relation_kind = 1 (power_law) +SPk_fb_a = 0.40 +SPk_fb_pow = 0.30 +SPk_fb_pivot = 3.16227766e13 + +# relation_kind = 2 (cosmo_power_law) +# SPk_alpha = 3.6 +# SPk_beta = 1.2 +# SPk_gamma = 0.2 + +# relation_kind = 3 (double_power_law) +# SPk_epsilon = 0.60 +# SPk_alpha = 0.1 +# SPk_beta = 1.1 +# SPk_gamma = 0.2 +# SPk_m_pivot = 8.0e13 From 9a26c38cf2e9c6ae35250d3325a97fccec0a5d56 Mon Sep 17 00:00:00 2001 From: Jaime Salcido Date: Tue, 19 May 2026 22:45:43 +0100 Subject: [PATCH 22/32] fix: update .gitignore to include spk_validation directory and params_spk.ini --- .gitignore | 2 ++ 1 file changed, 2 insertions(+) diff --git a/.gitignore b/.gitignore index a96d2ae3..82676316 100644 --- a/.gitignore +++ b/.gitignore @@ -62,6 +62,7 @@ testfile* *compatibility.txt camb_test.py temp_test.py +spk_validation/ *.layout lensing_cgrads.f90 # Exceptions for tracked .dat files @@ -76,6 +77,7 @@ lensing_cgrads.f90 !inifiles/params_21cm.ini !inifiles/params_counts.ini !inifiles/params_lensing.ini +!inifiles/params_spk.ini !inifiles/planck_2018.ini !inifiles/planck_2018_acc.ini !inifiles/sources_defaults.ini From 2d6dda8f351af5fc8e96bed9710e29775fca0326 Mon Sep 17 00:00:00 2001 From: Jaime Salcido Date: Tue, 19 May 2026 22:52:22 +0100 Subject: [PATCH 23/32] feat: add conftest.py to configure test environment for SP(k) helpers --- camb/tests/conftest.py | 5 +++++ 1 file changed, 5 insertions(+) create mode 100644 camb/tests/conftest.py diff --git a/camb/tests/conftest.py b/camb/tests/conftest.py new file mode 100644 index 00000000..22e0436f --- /dev/null +++ b/camb/tests/conftest.py @@ -0,0 +1,5 @@ +import os +import sys + +# Ensure the tests directory is on sys.path so _spk_helpers can be imported. +sys.path.insert(0, os.path.dirname(__file__)) From 8fbfb4cff4ef2a56fe6c409cd3da8b5b4855a547 Mon Sep 17 00:00:00 2001 From: Jaime Salcido Date: Tue, 19 May 2026 23:01:48 +0100 Subject: [PATCH 24/32] refactor: update SPkNonLinear configuration parameters and simplify YAML structure --- camb/nonlinear.py | 25 +++++++++++++------------ 1 file changed, 13 insertions(+), 12 deletions(-) diff --git a/camb/nonlinear.py b/camb/nonlinear.py index f6d4a7b0..82a92045 100644 --- a/camb/nonlinear.py +++ b/camb/nonlinear.py @@ -225,25 +225,26 @@ def set_params( Example YAML (kind=3, double_power_law):: + params: + SPk_epsilon: + prior: {min: 0.24, max: 0.35} + ref: {dist: norm, loc: 0.30, scale: 0.02} + SPk_alpha: + prior: {min: -0.12, max: 0.34} + SPk_beta: + prior: {min: -0.74, max: 0.77} + SPk_gamma: + prior: {min: -0.5, max: 1.20} + theory: camb: extra_args: - non_linear_model: camb.nonlinear.SPkNonLinear + non_linear_model: SPkNonLinear halofit_version: mead2020 SPk_feedback: true SPk_SO: 200 SPk_relation_kind: 3 - SPk_m_pivot: 1.0e14 - params: - SPk_epsilon: - prior: {min: 0.24, max: 0.35} - ref: {dist: norm, loc: 0.30, scale: 0.02} - SPk_alpha: - prior: {min: -0.12, max: 0.34} - SPk_beta: - prior: {min: -0.74, max: 0.77} - SPk_gamma: - prior: {min: -0.5, max: 1.20} + SPk_m_pivot: 1.0e13 **Notes:** From 3242b2d2fad92024c074d86f3aeeae18963eea4c Mon Sep 17 00:00:00 2001 From: Jaime Salcido Date: Tue, 19 May 2026 23:07:42 +0100 Subject: [PATCH 25/32] fix: remove obsolete Fortran linter include paths from settings --- .vscode/settings.json | 4 ---- 1 file changed, 4 deletions(-) diff --git a/.vscode/settings.json b/.vscode/settings.json index 8dd25021..efcf0467 100644 --- a/.vscode/settings.json +++ b/.vscode/settings.json @@ -116,8 +116,4 @@ }, "python-envs.defaultEnvManager": "ms-python.python:venv", "python-envs.defaultPackageManager": "ms-python.python:pip", - "fortran.linter.includePaths": [ - "${workspaceFolder}/fortran/Releaselib", - "${workspaceFolder}/forutils/Releaselib" - ] } From ff76321b899cc0bd0a62e4dbd316f1fe7b88c07d Mon Sep 17 00:00:00 2001 From: Jaime Salcido Date: Tue, 19 May 2026 23:17:13 +0100 Subject: [PATCH 26/32] docs: update comments in params_spk.ini for clarity and consistency --- inifiles/params_spk.ini | 18 +++++++++++++----- 1 file changed, 13 insertions(+), 5 deletions(-) diff --git a/inifiles/params_spk.ini b/inifiles/params_spk.ini index 41ed6cd6..ed3806b7 100644 --- a/inifiles/params_spk.ini +++ b/inifiles/params_spk.ini @@ -1,8 +1,6 @@ # Example parameters for SP(k) baryonic suppression # # This file sets SP(k) and Halofit options once the SPkNonLinear model is selected. -# In Python, select it with: -# pars.set_classes(non_linear_model='SPkNonLinear') DEFAULT(params.ini) @@ -18,17 +16,22 @@ do_lensing = F # SP(k) acts on top of the configured non-linear model. do_nonlinear = 1 -# Base non-linear model setting (default in this branch is mead2020) -# Keep this as a non-feedback mode when SPk_feedback = T. -# Values: 1=original, 4=takahashi, 5=mead2016, 8=mead2015, 9=mead2020, 10=mead2020_feedback +# Base non-linear model setting +# When SPk_feedback = T, use a non-feedback base model (halofit_version != 10). +# Supported values: +# 1=original, 2=bird, 3=peacock, 4=takahashi, 5=mead2016, +# 6=halomodel, 7=casarini, 8=mead2015, 9=mead2020, 10=mead2020_feedback halofit_version = 9 # SP(k) switch and calibration choice +# SPk_SO must be 200 or 500. +# SPk_relation_kind: 1=power_law, 2=cosmo_power_law, 3=double_power_law. SPk_feedback = T SPk_SO = 200 SPk_relation_kind = 1 # relation_kind = 1 (power_law) +# SPk_fb_pivot is in M_sun. SPk_fb_a = 0.40 SPk_fb_pow = 0.30 SPk_fb_pivot = 3.16227766e13 @@ -39,8 +42,13 @@ SPk_fb_pivot = 3.16227766e13 # SPk_gamma = 0.2 # relation_kind = 3 (double_power_law) +# SPk_m_pivot is in M_sun. # SPk_epsilon = 0.60 # SPk_alpha = 0.1 # SPk_beta = 1.1 # SPk_gamma = 0.2 # SPk_m_pivot = 8.0e13 + +# Note: SP(k) is calibrated only over a finite k/z domain. +# Outside that domain, CAMB skips SP(k) at out-of-range z and clamps k to the +# calibrated k_max, printing warnings when feedback_level > 0. From f2b27cbc6a48a42306f471e0af7e54172693c272 Mon Sep 17 00:00:00 2001 From: Jaime Salcido Date: Wed, 20 May 2026 16:14:45 +0100 Subject: [PATCH 27/32] refactor: remove obsolete SP(k) helper functions and validation plots --- camb/tests/_spk_helpers.py | 148 ----------------------------- camb/tests/spk_validation_plots.py | 119 ----------------------- 2 files changed, 267 deletions(-) delete mode 100644 camb/tests/_spk_helpers.py delete mode 100644 camb/tests/spk_validation_plots.py diff --git a/camb/tests/_spk_helpers.py b/camb/tests/_spk_helpers.py deleted file mode 100644 index 6d5a8bbd..00000000 --- a/camb/tests/_spk_helpers.py +++ /dev/null @@ -1,148 +0,0 @@ -"""Shared utilities for SP(k) tests and validation scripts. - -Not collected by pytest (underscore prefix). -""" - -from types import SimpleNamespace - -import numpy as np - -import camb -from camb.nonlinear import Halofit, SPkNonLinear # type: ignore[attr-defined] - - -def make_cosmo(results): - """Create a pyspk-compatible cosmo object from CAMB results (E(z) = H(z)/H(0)).""" - h0_inv = 1.0 / results.h_of_z(0.0) - return SimpleNamespace(efunc=lambda z: results.h_of_z(z) * h0_inv) - - -def get_pk(model_obj, z=0.5, kmax=12.0, k_per_logint=100): - """Run CAMB with the given NonLinearModel and return (k, pk, results).""" - pars = camb.CAMBparams() - pars.set_cosmology(H0=67.5, ombh2=0.02237, omch2=0.12, mnu=0.06) - pars.InitPower.set_params(As=2.1e-9, ns=0.965) - pars.set_matter_power(redshifts=[z], kmax=kmax, k_per_logint=k_per_logint) - pars.NonLinear = camb.model.NonLinear_both - pars.NonLinearModel = model_obj - results = camb.get_results(pars) - kh, _z, pk = results.get_nonlinear_matter_power_spectrum() - return kh, pk[0], results - - -def pyspk_kwargs(relation_kind, so, z, k, camb_results, params): - """Build keyword arguments for pyspk.sup_model().""" - base = {"SO": so, "z": z, "k_array": k, "errors": False} - if relation_kind == 1: - base.update({"fb_a": params["SPk_fb_a"], "fb_pow": params["SPk_fb_pow"], "fb_pivot": params["SPk_fb_pivot"]}) - elif relation_kind == 2: - base.update( - { - "alpha": params["SPk_alpha"], - "beta": params["SPk_beta"], - "gamma": params["SPk_gamma"], - "cosmo": make_cosmo(camb_results), - } - ) - elif relation_kind == 3: - base.update( - { - "epsilon": params["SPk_epsilon"], - "alpha": params["SPk_alpha"], - "beta": params["SPk_beta"], - "gamma": params["SPk_gamma"], - "m_pivot": params["SPk_m_pivot"], - "cosmo": make_cosmo(camb_results), - } - ) - else: - raise ValueError(f"Unknown relation kind {relation_kind}") - return base - - -def make_spk_model(relation_kind, so, params, halofit_version="mead2020"): - """Create a configured SPkNonLinear instance.""" - spk = SPkNonLinear() - spk.set_params( - halofit_version=halofit_version, - SPk_feedback=True, - SPk_SO=so, - SPk_relation_kind=relation_kind, - SPk_fb_a=params.get("SPk_fb_a", 1.0), - SPk_fb_pow=params.get("SPk_fb_pow", 0.0), - SPk_fb_pivot=params.get("SPk_fb_pivot", 1.0), - SPk_alpha=params.get("SPk_alpha", 0.0), - SPk_beta=params.get("SPk_beta", 0.0), - SPk_gamma=params.get("SPk_gamma", 0.0), - SPk_epsilon=params.get("SPk_epsilon", 0.0), - SPk_m_pivot=params.get("SPk_m_pivot", 1.0), - ) - return spk - - -def get_param_sets(relation_kind): - """Return a list of parameter dicts for the given relation kind.""" - if relation_kind == 1: - return [ - {"SPk_fb_a": 0.25, "SPk_fb_pow": 0.10, "SPk_fb_pivot": 1e14}, - {"SPk_fb_a": 0.40, "SPk_fb_pow": 0.30, "SPk_fb_pivot": 1e14}, - {"SPk_fb_a": 0.70, "SPk_fb_pow": 0.05, "SPk_fb_pivot": 5e13}, - ] - if relation_kind == 2: - return [ - {"SPk_alpha": 3.2, "SPk_beta": 1.0, "SPk_gamma": 0.10}, - {"SPk_alpha": 3.6, "SPk_beta": 1.2, "SPk_gamma": 0.20}, - {"SPk_alpha": 4.0, "SPk_beta": 0.9, "SPk_gamma": 0.05}, - ] - if relation_kind == 3: - return [ - {"SPk_epsilon": 0.45, "SPk_alpha": 0.2, "SPk_beta": 0.9, "SPk_gamma": 0.1, "SPk_m_pivot": 1e14}, - {"SPk_epsilon": 0.60, "SPk_alpha": 0.1, "SPk_beta": 1.1, "SPk_gamma": 0.2, "SPk_m_pivot": 8e13}, - {"SPk_epsilon": 0.80, "SPk_alpha": 0.3, "SPk_beta": 0.8, "SPk_gamma": 0.0, "SPk_m_pivot": 2e14}, - ] - raise ValueError(f"Unknown relation kind {relation_kind}") - - -def compute_suppression_data(relation_kinds, sos, redshifts, kmax=12.0): - """Compute SPk suppression curves for all (relation_kind, so, param_index, z) combos. - - Caches the base Halofit P(k) per redshift (only 1 CAMB run per z). - - Returns - ------- - dict keyed by (relation_kind, so, param_index, z) with values - (k, sup_camb, sup_ref, rel) - where rel = sup_camb / sup_ref - 1. - """ - import pyspk as _pyspk - - # One base CAMB run per redshift - base_cache = {} - for z in redshifts: - base = Halofit() - base.set_params(halofit_version="mead2020") - k_full, pk_full, results = get_pk(base, z=z, kmax=kmax) - mask = k_full < 12.0 - base_cache[z] = (k_full[mask], pk_full[mask], results) - - data = {} - for relation_kind in relation_kinds: - for ip, params in enumerate(get_param_sets(relation_kind)): - for so in sos: - for z in redshifts: - k, pk_base, results = base_cache[z] - - spk_model = make_spk_model(relation_kind, so, params) - k_spk, pk_spk_full, _ = get_pk(spk_model, z=z, kmax=kmax) - pk_spk = pk_spk_full[k_spk < 12.0] - - py_kw = pyspk_kwargs(relation_kind, so, z, k, results, params) - _, sup_ref = _pyspk.sup_model(**py_kw) - sup_camb = pk_spk / pk_base - - rel = np.full_like(sup_camb, np.nan) - valid = np.isfinite(sup_camb) & np.isfinite(sup_ref) & np.not_equal(sup_ref, 0.0) - rel[valid] = sup_camb[valid] / sup_ref[valid] - 1.0 - - data[(relation_kind, so, ip, z)] = (k, sup_camb, sup_ref, rel) - return data diff --git a/camb/tests/spk_validation_plots.py b/camb/tests/spk_validation_plots.py deleted file mode 100644 index c1e98283..00000000 --- a/camb/tests/spk_validation_plots.py +++ /dev/null @@ -1,119 +0,0 @@ -import argparse -import json -import warnings -from pathlib import Path - -import matplotlib.pyplot as plt -import numpy as np -from _spk_helpers import compute_suppression_data - -_RELATION_NAMES = {1: "power_law", 2: "cosmo_power_law", 3: "double_power_law"} -_COLORS = ["#1f77b4", "#ff7f0e", "#2ca02c", "#d62728", "#9467bd"] - - -def _plot_validation(data, relation_kinds, redshifts, so, out_dir): - """3 rows (param sets) x 3 cols (relations), each cell has suppression + residual.""" - n_params = 3 - fig, axes = plt.subplots( - n_params * 2, - 3, - figsize=(18, n_params * 5), - squeeze=False, - gridspec_kw={"height_ratios": [3, 1] * n_params, "hspace": 0.08}, - ) - - for icol, relation_kind in enumerate(relation_kinds): - for ip in range(n_params): - ax_top = axes[ip * 2, icol] - ax_bot = axes[ip * 2 + 1, icol] - - for ic, z in enumerate(redshifts): - k, sup_camb, sup_ref, rel = data[(relation_kind, so, ip, z)] - color = _COLORS[ic % len(_COLORS)] - ax_top.plot(k, sup_camb, lw=1.6, color=color, label=f"z={z}" if icol == 0 and ip == 0 else None) - ax_top.plot( - k, sup_ref, lw=1.0, ls="--", color="k", label="pySPK" if ic == 0 and icol == 0 and ip == 0 else None - ) - ax_bot.plot(k, rel, lw=1.2, color=color) - - ax_top.axvline(8.0, color="grey", ls=":", lw=0.9, alpha=0.6) - ax_top.set_xscale("log") - ax_top.grid(True, alpha=0.25) - ax_top.tick_params(labelbottom=False) - - if ip == 0: - ax_top.set_title(f"{_RELATION_NAMES[relation_kind]} (kind={relation_kind})") - - ax_bot.axhline(0.0, color="k", lw=0.6, alpha=0.5) - ax_bot.axvline(8.0, color="grey", ls=":", lw=0.9, alpha=0.6) - ax_bot.set_xscale("log") - ax_bot.grid(True, alpha=0.25) - - if ip == n_params - 1: - ax_bot.set_xlabel("k [h/Mpc]") - else: - ax_bot.tick_params(labelbottom=False) - - for ip in range(n_params): - if icol == 0: - axes[ip * 2, 0].set_ylabel(f"param_set {ip + 1}\n" + R"$P_{\mathrm{hydro}}/P_{\mathrm{DM}}$") - axes[ip * 2 + 1, 0].set_ylabel(R"$S_{\mathrm{CAMB}}/S_{\mathrm{pySPK}} - 1$") - - axes[0, 0].legend(fontsize=8, loc="lower left") - - fig.suptitle( - f"SP(k) validation: CAMB Fortran (colour) vs pySPK (black dashed), SO={so}", - fontsize=12, - ) - fig.tight_layout(rect=(0, 0, 1, 0.97)) - fig.savefig(out_dir / f"spk_validation_SO{so}.png", dpi=200, bbox_inches="tight") - plt.close(fig) - - -def _write_summary(data, out_dir): - """Write JSON summary of max/mean/p95 relative errors across all combinations.""" - rels = [] - for (_rk, _so, _ip, _z), (k, _sup_camb, _sup_ref, rel) in data.items(): - finite = rel[np.isfinite(rel)] - if len(finite): - rels.append(finite) - all_rel = np.concatenate(rels) if rels else np.array([]) - summary = { - "evaluations": len(data), - "max_rel_err": float(np.max(np.abs(all_rel))) if len(all_rel) else float("nan"), - "mean_rel_err": float(np.mean(np.abs(all_rel))) if len(all_rel) else float("nan"), - "p95_rel_err": float(np.quantile(np.abs(all_rel), 0.95)) if len(all_rel) else float("nan"), - } - json_path = out_dir / "spk_summary.json" - json_path.write_text(json.dumps(summary, indent=2), encoding="utf-8") - return json_path, summary - - -def main(): - parser = argparse.ArgumentParser(description="Generate SP(k) validation plots and summary.") - parser.add_argument("--out-dir", default="spk_validation") - args = parser.parse_args() - - out_dir = Path(args.out_dir) - out_dir.mkdir(parents=True, exist_ok=True) - - relation_kinds = [1, 2, 3] - sos = [200, 500] - redshifts = [0.125, 0.5, 1.0, 2.0, 3.0] - - with warnings.catch_warnings(): - warnings.filterwarnings("ignore", category=UserWarning) - data = compute_suppression_data(relation_kinds, sos, redshifts) - - for so in sos: - _plot_validation(data, relation_kinds, redshifts, so=so, out_dir=out_dir) - - json_path, summary = _write_summary(data, out_dir) - - print(f"Wrote plots to {out_dir}") - print(f"Wrote {json_path}") - print(json.dumps(summary, indent=2)) - - -if __name__ == "__main__": - main() From adae2f75cbf77ddfa7c57e98ca5241594c765a85 Mon Sep 17 00:00:00 2001 From: Jaime Salcido Date: Wed, 20 May 2026 16:16:20 +0100 Subject: [PATCH 28/32] refactor: remove spk_validation directory from .gitignore and update dev dependencies in pyproject.toml --- .gitignore | 1 - pyproject.toml | 2 +- 2 files changed, 1 insertion(+), 2 deletions(-) diff --git a/.gitignore b/.gitignore index 82676316..3e4e17b2 100644 --- a/.gitignore +++ b/.gitignore @@ -62,7 +62,6 @@ testfile* *compatibility.txt camb_test.py temp_test.py -spk_validation/ *.layout lensing_cgrads.f90 # Exceptions for tracked .dat files diff --git a/pyproject.toml b/pyproject.toml index 9ea34d24..8e8c258e 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -34,7 +34,7 @@ docs = [ "sphinx_markdown_builder", "jupytext", ] -dev = ["ruff>=0.11.0", "pre-commit>=3.0.0", "pyspk>=2.0.0"] +dev = ["ruff>=0.11.0", "pre-commit>=3.0.0"] [project.scripts] camb = "camb._command_line:run_command_line" From cebec2b2f9ebda5f7d4e6668925636c6b562d096 Mon Sep 17 00:00:00 2001 From: Jaime Salcido Date: Wed, 20 May 2026 16:24:16 +0100 Subject: [PATCH 29/32] refactor: simplify SPkTest by removing unused imports and helper functions --- camb/tests/spk_test.py | 139 +++++++---------------------------------- 1 file changed, 22 insertions(+), 117 deletions(-) diff --git a/camb/tests/spk_test.py b/camb/tests/spk_test.py index 3d7a0cd0..c5fd100d 100644 --- a/camb/tests/spk_test.py +++ b/camb/tests/spk_test.py @@ -1,9 +1,7 @@ import inspect import os import sys -import types import unittest -import warnings import numpy as np @@ -13,38 +11,20 @@ sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..", ".."))) import camb -from _spk_helpers import get_pk, pyspk_kwargs - from camb.nonlinear import Halofit, SPkNonLinear # type: ignore[attr-defined] -try: - import pyspk -except ImportError: - pyspk: types.ModuleType | None = None # type: ignore[no-redef] - class SPkTest(unittest.TestCase): def _get_pk(self, model_obj, z=0.5, kmax=5.0): - return get_pk(model_obj, z=z, kmax=kmax) - - def _assert_relation_match(self, relation_kind, z=0.5, so=200, rtol=1e-5, atol=1e-8, **kwargs): - base = Halofit() - base.set_params(halofit_version="mead2020") - k, pk_base, results = self._get_pk(base, z=z) - - spk = SPkNonLinear() - spk.set_params( - halofit_version="mead2020", SPk_feedback=True, SPk_SO=so, SPk_relation_kind=relation_kind, **kwargs - ) - _, pk_spk, _ = self._get_pk(spk, z=z) - - assert pyspk is not None - py_kwargs = pyspk_kwargs(relation_kind, so, z, k, results, kwargs) - k_ref, sup_ref = pyspk.sup_model(**py_kwargs) - measured_sup = pk_spk / pk_base - - self.assertTrue(np.allclose(k_ref, k, rtol=0, atol=0)) - self.assertTrue(np.allclose(measured_sup, sup_ref, rtol=rtol, atol=atol)) + pars = camb.CAMBparams() + pars.set_cosmology(H0=67.5, ombh2=0.02237, omch2=0.12, mnu=0.06) + pars.InitPower.set_params(As=2.1e-9, ns=0.965) + pars.set_matter_power(redshifts=[z], kmax=kmax, k_per_logint=100) + pars.NonLinear = camb.model.NonLinear_both + pars.NonLinearModel = model_obj + results = camb.get_results(pars) + kh, _z, pk = results.get_nonlinear_matter_power_spectrum() + return kh, pk[0], results def test_spk_invalid_params(self): model = SPkNonLinear() @@ -55,10 +35,20 @@ def test_spk_invalid_params(self): with self.assertRaises(camb.CAMBValueError): model.set_params(SPk_relation_kind=1, SPk_fb_pivot=0.0) - def test_spk_halofit_version_passthrough(self): + def test_spk_accepts_halofit_version(self): model = SPkNonLinear() - model.set_params(halofit_version="mead2016") - self.assertEqual(model.BaseModel.get_halofit_version(), "mead2016") + model.set_params( + halofit_version="mead2016", + SPk_feedback=True, + SPk_SO=200, + SPk_relation_kind=1, + SPk_fb_a=0.4, + SPk_fb_pow=0.2, + SPk_fb_pivot=1e14, + ) + k, pk, _ = self._get_pk(model, z=0.5, kmax=3.0) + self.assertTrue(np.all(np.isfinite(k))) + self.assertTrue(np.all(np.isfinite(pk))) def test_spk_rejects_mead2020_feedback_via_set_params(self): model = SPkNonLinear() @@ -68,7 +58,6 @@ def test_spk_rejects_mead2020_feedback_via_set_params(self): def test_spk_cobaya_friendly_set_params_signature(self): signature = inspect.signature(SPkNonLinear.set_params) self.assertIn("halofit_version", signature.parameters) - self.assertNotIn("base_model", signature.parameters) def test_spk_disabled_matches_base(self): base = Halofit() @@ -82,90 +71,6 @@ def test_spk_disabled_matches_base(self): self.assertTrue(np.allclose(k_base, k_spk, rtol=0, atol=0)) self.assertTrue(np.allclose(pk_base, pk_spk, rtol=2e-12, atol=1e-14)) - @unittest.skipIf(pyspk is None, "pyspk not installed") - def test_spk_power_law_matches_reference(self): - self._assert_relation_match( - relation_kind=1, - z=0.5, - so=200, - rtol=1e-6, - atol=1e-9, - SPk_fb_a=0.4, - SPk_fb_pow=0.2, - SPk_fb_pivot=1e14, - ) - - @unittest.skipIf(pyspk is None, "pyspk not installed") - def test_spk_cosmo_power_law_matches_reference(self): - self._assert_relation_match( - relation_kind=2, - z=1.0, - so=500, - rtol=1e-6, - atol=1e-9, - SPk_alpha=3.4, - SPk_beta=1.0, - SPk_gamma=0.15, - ) - - @unittest.skipIf(pyspk is None, "pyspk not installed") - def test_spk_double_power_law_matches_reference(self): - self._assert_relation_match( - relation_kind=3, - z=1.5, - so=200, - rtol=1e-6, - atol=1e-9, - SPk_epsilon=0.55, - SPk_alpha=0.2, - SPk_beta=0.9, - SPk_gamma=0.1, - SPk_m_pivot=1e14, - ) - - @unittest.skipIf(pyspk is None, "pyspk not installed") - def test_spk_high_k_boundary_continuity(self): - base = Halofit() - base.set_params(halofit_version="mead2020") - k, pk_base, _ = self._get_pk(base, z=0.125, kmax=12.0) - - spk = SPkNonLinear() - spk.set_params( - halofit_version="mead2020", - SPk_feedback=True, - SPk_SO=200, - SPk_relation_kind=1, - SPk_fb_a=0.4, - SPk_fb_pow=0.3, - SPk_fb_pivot=1e14, - ) - _, pk_spk, _ = self._get_pk(spk, z=0.125, kmax=12.0) - - # Mask to pySPK's calibrated range (CAMB's raw grid may exceed kmax slightly) - mask = k < 12.0 - k, pk_base, pk_spk = k[mask], pk_base[mask], pk_spk[mask] - - with warnings.catch_warnings(): - warnings.filterwarnings( - "ignore", - message=R"Scales with k_max > k_ny = 8\.0 \[h/Mpc\] may not be accurately reproduced by the model\.", - category=UserWarning, - ) - assert pyspk is not None - _, sup_ref = pyspk.sup_model( - SO=200, - z=0.125, - fb_a=0.4, - fb_pow=0.3, - fb_pivot=1e14, - k_array=k, - errors=False, - ) - measured_sup = pk_spk / pk_base - rel = np.abs(measured_sup / sup_ref - 1.0) - - self.assertLess(float(np.max(rel)), 1e-4) - def test_spk_out_of_range_behaviour(self): """Verify suppression is skipped for z outside calibrated range and k is clamped.""" # z=4 is beyond calibrated range [0, 3]: suppression should not be applied. From 6813c25952c07f292cc617c3e98d1c43874c330c Mon Sep 17 00:00:00 2001 From: Jaime Salcido Date: Wed, 20 May 2026 16:51:39 +0100 Subject: [PATCH 30/32] Update SPK demo --- docs/SPk_demo.ipynb | 113 ++++++++++++++++++++++++++++---------------- 1 file changed, 73 insertions(+), 40 deletions(-) diff --git a/docs/SPk_demo.ipynb b/docs/SPk_demo.ipynb index f5ca989d..57baf5d9 100644 --- a/docs/SPk_demo.ipynb +++ b/docs/SPk_demo.ipynb @@ -17,7 +17,8 @@ "\n", "## Notes\n", "\n", - "- SP(k) should not be combined with HMCode baryon-feedback models (e.g. `halofit_version='mead2020_feedback'`).\n" + "- SP(k) should not be combined with HMCode baryon-feedback models (e.g. `halofit_version='mead2020_feedback'`).\n", + "- `pyspk` is not a core CAMB dependency. To run the validation cells in this notebook, install it separately: `python -m pip install pyspk>=2.0.0`.\n" ] }, { @@ -43,12 +44,19 @@ "import warnings\n", "\n", "import numpy as np\n", - "import pyspk\n", "from matplotlib import pyplot as plt\n", "\n", "import camb\n", "from camb import model\n", "\n", + "try:\n", + " import pyspk\n", + "except ImportError as exc:\n", + " raise ImportError(\n", + " \"This notebook validates CAMB SP(k) against pyspk, but pyspk is not installed. \"\n", + " \"Install it with: python -m pip install 'pyspk>=2.0.0'\"\n", + " ) from exc\n", + "\n", "warnings.filterwarnings(\"ignore\")\n", "\n", "print(f\"Using CAMB {camb.__version__} installed at {os.path.dirname(camb.__file__)}\")\n", @@ -98,7 +106,7 @@ " SPk_SO=200,\n", " SPk_relation_kind=1,\n", " SPk_fb_a=0.4,\n", - " SPk_fb_pow=0.3,\n", + " SPk_fb_pow=0.2,\n", " SPk_fb_pivot=10**13.5,\n", " halofit_version=\"mead2020\",\n", ")\n", @@ -122,7 +130,7 @@ "outputs": [ { "data": { - "image/png": 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"text/plain": [ "
" ] @@ -185,13 +193,14 @@ "## Interpreting the validation plot\n", "\n", "- Top panel: suppression factor from CAMB SP(k) and `pyspk` (should overlap closely).\n", - "- Bottom panel: relative error, defined as `CAMB / pyspk - 1`, shown on a ±1% axis.\n", - "- Vertical dashed line at `k=8 h/Mpc`: approximate `pyspk` Nyquist reference.\n" + "- Bottom panel: relative error, defined as `CAMB / pyspk - 1`.\n", + "- Vertical dashed line at `k=8 h/Mpc`: approximate `pyspk` Nyquist reference.\n", + "- The comparison is performed directly on CAMB's non-linear prediction at each redshift to provide a stable high-k validation.\n" ] }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 6, "id": "69a98f59", "metadata": {}, "outputs": [ @@ -200,14 +209,14 @@ "output_type": "stream", "text": [ "Max relative error between CAMB SP(k) and pyspk:\n", - "z=0: k<=8 -> 2.10e-09, k<=12 -> 9.03e-05\n", - "z=0.125: k<=8 -> 2.00e-09, k<=12 -> 6.55e-05\n", - "z=1: k<=8 -> 2.15e-09, k<=12 -> 8.01e-05\n" + "z=0: max -> 6.66e-16\n", + "z=0.125: max -> 7.77e-16\n", + "z=1: max -> 6.66e-16\n" ] }, { "data": { - "image/png": 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" ] @@ -215,31 +224,49 @@ "metadata": { "image/png": { "height": 701, - "width": 875 + "width": 858 } }, "output_type": "display_data" } ], "source": [ - "# Verify suppression factor against pyspk and show implementation error\n", - "# kind=1 (power_law) has no cosmology dependence — no cosmo object needed\n", + "# Verify suppression factor against pyspk\n", + "# kind=1 (power_law)\n", + "\n", + "# Reuse CAMB results from the previous cell (results_base/results_spk) to avoid extra solves\n", + "k_base_full, z_base_full, pk_base_full = results_base.get_nonlinear_matter_power_spectrum()\n", + "k_spk_full, z_spk_full, pk_spk_full = results_spk.get_nonlinear_matter_power_spectrum()\n", + "\n", + "assert np.allclose(k_base_full, k_spk_full)\n", + "assert np.allclose(z_base_full, z_spk_full)\n", + "\n", + "z_compare = [float(v) for v in z_base_full]\n", + "k_compare_max = 12.0\n", + "mask_k = k_base_full < k_compare_max\n", + "\n", + "k_use = k_base_full[mask_k]\n", + "camb_sup_list = []\n", "pyspk_sup_list = []\n", - "for redshift in z:\n", - " k_pyspk, sup_pyspk = pyspk.sup_model(\n", + "\n", + "for i, redshift in enumerate(z_compare):\n", + " pk_base = pk_base_full[i][mask_k]\n", + " pk_spk = pk_spk_full[i][mask_k]\n", + " camb_sup = pk_spk / pk_base\n", + "\n", + " k_pyspk, py_sup = pyspk.sup_model(\n", " SO=200,\n", - " z=float(redshift),\n", + " z=redshift,\n", " fb_a=0.4,\n", - " fb_pow=0.3,\n", + " fb_pow=0.2,\n", " fb_pivot=10**13.5,\n", - " k_array=kh0,\n", + " k_array=k_use,\n", " verbose=False,\n", " )\n", - " assert np.allclose(k_pyspk, kh0)\n", - " pyspk_sup_list.append(sup_pyspk)\n", + " assert np.allclose(k_use, k_pyspk)\n", "\n", - "k_compare_max = 12.0\n", - "mask_plot = kh0 <= k_compare_max\n", + " camb_sup_list.append(camb_sup)\n", + " pyspk_sup_list.append(py_sup)\n", "\n", "fig2, axes2 = plt.subplots(\n", " 2,\n", @@ -256,28 +283,28 @@ "camb_handles = []\n", "pyspk_handle = None\n", "\n", - "for i, redshift in enumerate(z):\n", + "for i, redshift in enumerate(z_compare):\n", " color = colors[i % len(colors)]\n", - " camb_sup = pk1[i, :] / pk0[i, :]\n", + " camb_sup = camb_sup_list[i]\n", " py_sup = pyspk_sup_list[i]\n", - " valid = mask_plot & np.isfinite(camb_sup) & np.isfinite(py_sup) & (np.abs(py_sup) > 1e-30)\n", + " valid = np.isfinite(camb_sup) & np.isfinite(py_sup) & (np.abs(py_sup) > 1e-30)\n", "\n", " (line_camb,) = ax2.semilogx(\n", - " kh0[valid], camb_sup[valid], color=color, ls=\"-\", lw=2, label=f\"CAMB SP(k), z={float(redshift):g}\"\n", + " k_use[valid], camb_sup[valid], color=color, ls=\"-\", lw=2, label=f\"CAMB SP(k), z={redshift:g}\"\n", " )\n", " camb_handles.append(line_camb)\n", "\n", " if pyspk_handle is None:\n", - " (pyspk_handle,) = ax2.semilogx(kh0[valid], py_sup[valid], color=\"k\", ls=\":\", lw=1.5, alpha=0.8, label=\"pyspk\")\n", + " (pyspk_handle,) = ax2.semilogx(k_use[valid], py_sup[valid], color=\"k\", ls=\":\", lw=1.5, alpha=0.8, label=\"pyspk\")\n", " else:\n", - " ax2.semilogx(kh0[valid], py_sup[valid], color=\"k\", ls=\":\", lw=1.5, alpha=0.8, label=None)\n", + " ax2.semilogx(k_use[valid], py_sup[valid], color=\"k\", ls=\":\", lw=1.5, alpha=0.8, label=None)\n", "\n", " ratio_err = camb_sup[valid] / py_sup[valid] - 1.0\n", - " ax3.semilogx(kh0[valid], ratio_err, color=color, ls=\"-\", lw=1.8, label=f\"z={float(redshift):g}\")\n", + " ax3.semilogx(k_use[valid], ratio_err, color=color, ls=\"-\", lw=1.8, label=f\"z={redshift:g}\")\n", "\n", "ax2.axhline(1.0, color=\"k\", lw=1, alpha=0.4)\n", "ax2.set_ylabel(\"Suppression factor\")\n", - "ax2.set_title(\"SP(k) suppression: CAMB vs pyspk (kind=1, power_law)\")\n", + "ax2.set_title(\"SP(k) suppression: CAMB vs pyspk (kind=1)\")\n", "if pyspk_handle is not None:\n", " ax2.legend(handles=[*camb_handles, pyspk_handle], loc=\"lower left\", fontsize=9)\n", "else:\n", @@ -286,8 +313,8 @@ "ax3.axhline(0.0, color=\"k\", lw=1, alpha=0.5)\n", "ax3.set_xlabel(\"k/h Mpc\")\n", "ax3.set_ylabel(\"CAMB/pyspk - 1\")\n", - "ax3.set_ylim(-0.01, 0.01)\n", - "ax3.set_title(\"Relative error (±1%)\")\n", + "ax3.set_ylim(-1e-12, 1e-12)\n", + "ax3.set_title(\"Relative error\")\n", "\n", "# Reference marker: pyspk Nyquist limit\n", "ax2.axvline(8.0, color=\"gray\", lw=1, ls=\"--\", alpha=0.6)\n", @@ -304,15 +331,21 @@ "plt.tight_layout()\n", "\n", "print(\"Max relative error between CAMB SP(k) and pyspk:\")\n", - "for i, redshift in enumerate(z):\n", - " camb_sup = pk1[i, :] / pk0[i, :]\n", + "for i, redshift in enumerate(z_compare):\n", + " camb_sup = camb_sup_list[i]\n", " py_sup = pyspk_sup_list[i]\n", - " valid8 = (kh0 <= 8.0) & np.isfinite(camb_sup) & np.isfinite(py_sup) & (np.abs(py_sup) > 1e-30)\n", - " valid12 = (kh0 <= 12.0) & np.isfinite(camb_sup) & np.isfinite(py_sup) & (np.abs(py_sup) > 1e-30)\n", - " rel8 = np.max(np.abs(camb_sup[valid8] / py_sup[valid8] - 1.0))\n", - " rel12 = np.max(np.abs(camb_sup[valid12] / py_sup[valid12] - 1.0))\n", - " print(f\"z={float(redshift):g}: k<=8 -> {rel8:.2e}, k<=12 -> {rel12:.2e}\")" + " valid = np.isfinite(camb_sup) & np.isfinite(py_sup) & (np.abs(py_sup) > 1e-30)\n", + " rel = np.max(np.abs(camb_sup[valid] / py_sup[valid] - 1.0))\n", + " print(f\"z={redshift:g}: max -> {rel:.2e}\")" ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "82826bc9", + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { From d7f7f3f38739be1af941967f65b63cd42978e374 Mon Sep 17 00:00:00 2001 From: Jaime Salcido Date: Wed, 20 May 2026 20:27:09 +0100 Subject: [PATCH 31/32] feat: add log10_SPk_m_pivot parameter with prior and drop option to SPkNonLinear --- camb/nonlinear.py | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/camb/nonlinear.py b/camb/nonlinear.py index 82a92045..7ecf62a6 100644 --- a/camb/nonlinear.py +++ b/camb/nonlinear.py @@ -235,6 +235,11 @@ def set_params( prior: {min: -0.74, max: 0.77} SPk_gamma: prior: {min: -0.5, max: 1.20} + log10_SPk_m_pivot: + prior: {min: 13, max: 14} + drop: true + SPk_m_pivot: + value: "lambda log10_SPk_m_pivot: 10**log10_SPk_m_pivot" theory: camb: @@ -244,7 +249,6 @@ def set_params( SPk_feedback: true SPk_SO: 200 SPk_relation_kind: 3 - SPk_m_pivot: 1.0e13 **Notes:** From 5ca93219413f238470bb51fe7762fedd5b13e972 Mon Sep 17 00:00:00 2001 From: Jaime Salcido Date: Wed, 20 May 2026 20:40:15 +0100 Subject: [PATCH 32/32] Revert pyproject.toml and remove camb/tests/conftest.py from branch --- camb/tests/conftest.py | 5 ----- pyproject.toml | 44 +++++++++--------------------------------- 2 files changed, 9 insertions(+), 40 deletions(-) delete mode 100644 camb/tests/conftest.py diff --git a/camb/tests/conftest.py b/camb/tests/conftest.py deleted file mode 100644 index 22e0436f..00000000 --- a/camb/tests/conftest.py +++ /dev/null @@ -1,5 +0,0 @@ -import os -import sys - -# Ensure the tests directory is on sys.path so _spk_helpers can be imported. -sys.path.insert(0, os.path.dirname(__file__)) diff --git a/pyproject.toml b/pyproject.toml index 8e8c258e..f70afc38 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -4,7 +4,9 @@ build-backend = "setuptools.build_meta" [project] name = "camb" -authors = [{ name = "Antony Lewis" }] +authors = [ + { name = "Antony Lewis" }, +] description = "Code for Anisotropies in the Microwave Background" keywords = ['cosmology', 'CAMB', 'CMB'] readme = "docs/README_pypi.rst" @@ -24,16 +26,12 @@ classifiers = [ "Programming Language :: Python :: 3.13", "Programming Language :: Python :: 3.14", ] -dependencies = ["numpy>=1.22", "scipy>=1.0", "sympy>=1.0", "packaging>=24.2"] +dependencies = [ + "numpy>=1.22", "scipy>=1.0", "sympy>=1.0", "packaging>=24.2" +] [project.optional-dependencies] -docs = [ - "sphinx>=4.0", - "sphinx_rtd_theme>=1.0", - "sphinxcontrib-jquery", - "sphinx_markdown_builder", - "jupytext", -] +docs = ["sphinx>=4.0", "sphinx_rtd_theme>=1.0", "sphinxcontrib-jquery", "sphinx_markdown_builder", "jupytext"] dev = ["ruff>=0.11.0", "pre-commit>=3.0.0"] [project.scripts] @@ -72,30 +70,6 @@ docstring-code-format = true [tool.flake8] select = [ - "E713", - "E704", - "E703", - "E714", - "E741", - "E10", - "E11", - "E20", - "E22", - "E23", - "E25", - "E27", - "E301", - "E302", - "E304", - "E9", - "F405", - "F406", - "F5", - "F6", - "F7", - "F8", - "W1", - "W2", - "W3", - "W6", + "E713", "E704", "E703", "E714", "E741", "E10", "E11", "E20", "E22", "E23", "E25", "E27", + "E301", "E302", "E304", "E9", "F405", "F406", "F5", "F6", "F7", "F8", "W1", "W2", "W3", "W6" ]