FilterAnalysis_public/datasheet.py at main · CalumFreeman/FilterAnalysis_public · GitHub

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#!/usr/bin/env python3

import numpy as np
from scipy.interpolate import interp1d


def read_plot_from_pixels(xmin_px, xmax_px, xmin_val, xmax_val, xs_px):
    xs_val = []
    for x_px in xs_px:
        x_normalised = (x_px - xmin_px) / (xmax_px - xmin_px)
        x_val = x_normalised * (xmax_val - xmin_val) + xmin_val
        xs_val.append(x_val)
    return xs_val


def interploate_from_pixels(xmin_px,
                            xmax_px,
                            xmin_val,
                            xmax_val,
                            xs_px,
                            ymin_px,
                            ymax_px,
                            ymin_val,
                            ymax_val,
                            ys_px,
                            resolution=500,
                            xnew=None,
                            plot=False,
                            show=True):

    xs_val = read_plot_from_pixels(xmin_px, xmax_px, xmin_val, xmax_val, xs_px)
    ys_val = read_plot_from_pixels(ymin_px, ymax_px, ymin_val, ymax_val, ys_px)
    if xnew is None:
        xnew = np.linspace(min(xs_val),
                           max(xs_val),
                           num=resolution,
                           endpoint=True)

    f = interp1d(xs_val,
                 ys_val,
                 kind='cubic',
                 bounds_error=False,
                 fill_value=(ys_val[0], ys_val[-1]))
    ynew = f(xnew)
    if plot:
        from plotting import plt
        plt.plot(xs_val, ys_val, label='measured')
        plt.plot(xnew, ynew, label='interp')
        if show:
            plt.show()
    return xnew, ynew


def get_diode_response(xnew=None, resolution=500, plot=False, show=True):
    xs_px = [
        642, 662, 692, 722, 755, 791, 816, 852, 866, 898, 948, 993, 1155, 1332,
        1512, 1700
    ]
    ys_px = [
        282, 282, 282, 282, 282, 286, 301, 347, 374, 441, 545, 622, 794, 865,
        894, 908
    ]
    xmin_px, xmax_px, xmin_val, xmax_val = 630, 1769, 1000, 31000
    ymin_px, ymax_px, ymin_val, ymax_val = 929, 186, 0, 0.3

    X, Y = interploate_from_pixels(xmin_px,
                                   xmax_px,
                                   xmin_val,
                                   xmax_val,
                                   xs_px,
                                   ymin_px,
                                   ymax_px,
                                   ymin_val,
                                   ymax_val,
                                   ys_px,
                                   xnew=xnew,
                                   plot=plot,
                                   show=show)
    return X, Y


Ag_filters = [
    {
        'material': 'Mo',
        'thickness_um': 10,
        'channel': 1,
        'scope': 4
    },  # Ag wire
    {
        'material': 'Al',
        'thickness_um': 130,
        'channel': 1,
        'scope': 7
    },
    {
        'material': 'Co',
        'thickness_um': 5,
        'channel': 3,
        'scope': 7
    },
    {
        'material': 'Ti',
        'thickness_um': 12.5 + 3 + 3,
        'channel': 2,
        'scope': 7
    },
    {
        'material': 'Al',
        'thickness_um': 13,
        'channel': 3,
        'scope': 4
    },
]
Cu_filters = [
    {
        'material': 'Cu',
        'thickness_um': 4,
        'channel': 1,
        'scope': 4
    },  # Cu wire
    {
        'material': 'Al',
        'thickness_um': 130,
        'channel': 1,
        'scope': 7
    },
    {
        'material': 'Co',
        'thickness_um': 5,
        'channel': 3,
        'scope': 7
    },
    {
        'material': 'Ti',
        'thickness_um': 12.5 + 3 + 3,
        'channel': 2,
        'scope': 7
    },
    {
        'material': 'Al',
        'thickness_um': 13,
        'channel': 3,
        'scope': 4
    },
]