polarpy.polar_response.PolarResponse._interpolate_rsp()

Complexity

Conditions

4

Size

Total Lines	60
Code Lines	23

Duplication

Lines	0
Ratio	0 %

Importance

Changes

0

import numpy as np
    def _interpolate_rsp(self):
        """
        Builds the interpolator for the response. This is currently incredibly slow
        and should be improved

        """

        

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        # create a functions to get the histograms
        

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        # now go through the response and extract things
        

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        with h5py.File(self._rsp_file,'r') as f:

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            energy = f['energy'].value
            

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            ene_lo, ene_hi = [],[]

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            for ene in energy:

                ene_lo.append(ene-2.5)
                ene_hi.append(ene+2.5)
            

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            pol_ang = np.array(f['pol_ang'].value)
        

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            pol_deg = np.array(f['pol_deg'].value)
        

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            bins = np.array(f['bins'].value)

            

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            bin_center = 0.5 *(bins[:-1] + bins[1:])

            all_interp = []



            for i, bm in enumerate(bin_center):

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                this_interpolator = interpolate.RegularGridInterpolator((energy,pol_ang,pol_deg), f['matrix'][...,i])

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                all_interp.append(this_interpolator)
                

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            self._all_interp = all_interp
            

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            self._ene_lo = ene_lo
            self._ene_hi = ene_hi
            self._energy_mid = energy
            

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            self._n_scatter_bins = len(bin_center)
            self._scattering_bins = bin_center
            self._scattering_bins_lo = bins[:-1]
            self._scattering_bins_hi = bins[1:]