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    14 repositories

    • LIRA-Ising

      Public
      Bayesian algorithm to identify the boundaries of irregularly shaped sources.
      R
      •
      GNU General Public License v3.0
      •0•0•0•0•Updated Feb 20, 2026Feb 20, 2026

    • pylira

      Public
      A Python package for Bayesian low-counts image reconstruction and analysis
      C++
      •7•10•16•0•Updated Oct 15, 2025Oct 15, 2025

    • TD-CARMA

      Public
      Python
      •
      MIT License
      •0•0•0•0•Updated Apr 15, 2024Apr 15, 2024

    • BEHR

      Public
      C
      •0•0•0•0•Updated Apr 11, 2023Apr 11, 2023

    • SRGgonG.old

      Public archive
      code for graph seeded region growing
      MATLAB
      •1•0•0•0•Updated Mar 21, 2023Mar 21, 2023

    • eBASCS

      Public
      eBASCS: Disentangling overlapping astronomical sources II, using spatial, spectral, and temporal information
      R
      •0•0•0•0•Updated Mar 21, 2023Mar 21, 2023

    • pyblocxs

      Public
      MCMC module for X-ray analysis in Sherpa
      Python
      •
      BSD 3-Clause "New" or "Revised" License
      •3•6•2•0•Updated Mar 24, 2022Mar 24, 2022

    • pylira-extra

      Public
      Pylira extras, such as test data and additional notebooks
      Python
      •
      BSD 3-Clause "New" or "Revised" License
      •0•1•0•0•Updated Jan 21, 2022Jan 21, 2022

    • LIRA

      Public
      Low-counts Image Reconstruction and Analysis
      Python
      •
      GNU General Public License v3.0
      •9•14•2•0•Updated Nov 2, 2021Nov 2, 2021

    • BASCS

      Public
      Bayesian Separation of Close Sources
      R
      •0•6•0•0•Updated Feb 8, 2020Feb 8, 2020

    • Automark

      Public
      Automatic marking of marked Poisson process in astronomical high-dimensional datasets
      R
      •0•3•0•0•Updated Dec 3, 2019Dec 3, 2019

    • Concordance

      Public
      IACHEC Calibration Concordance
      Jupyter Notebook
      •
      MIT License
      •3•3•0•0•Updated Aug 27, 2018Aug 27, 2018

    • STAS

      Public
      0•0•0•0•Updated Mar 23, 2015Mar 23, 2015

    • BlogNPlogS

      Public
      Bayesian modeling of cumulative numbers of objects above a given intensity with Pareto distributions
      0•0•0•0•Updated Dec 3, 2014Dec 3, 2014
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