test_imaging.py

import unittest

from scipy import interpolate
import astropy.constants as cons
from astropy.table import Table
import h5py as h5
import sys
import os
import math
from itertools import islice
import numpy as np
import galsim
import yaml
import copy
from astropy.cosmology import FlatLambdaCDM
from astropy import constants
from astropy import units as U
from observation_sim.mock_objects._util import getObservedSED
from observation_sim.mock_objects import CatalogBase, Galaxy

from observation_sim.instruments import Chip, Filter, FilterParam, FocalPlane
from observation_sim.psf.PSFInterp import PSFInterp
from observation_sim.mock_objects._util import integrate_sed_bandpass, getNormFactorForSpecWithABMAG, getABMAG


class Catalog(CatalogBase):
    def __init__(self):
        super().__init__()
        self.rotation = 0.

    def load_norm_filt(self, obj):
        return None

    def load_sed(self, obj, **kward):
        pcs = h5.File(os.path.join(os.getenv('UNIT_TEST_DATA_ROOT'),
                                   'csst_msc_sim/csst_fz_msc/sedlibs/pcs.h5'), "r")
        lamb = h5.File(os.path.join(os.getenv('UNIT_TEST_DATA_ROOT'),
                                    'csst_msc_sim/csst_fz_msc/sedlibs/lamb.h5'), "r")
        lamb_gal = lamb['lamb'][()]
        pcs = pcs['pcs'][()]

        cosmo = FlatLambdaCDM(H0=67.66, Om0=0.3111)
        factor = 10**(-.4 * cosmo.distmod(obj.param['z']).value)
        flux = np.matmul(pcs, obj.param['coeff']) * factor
        #  if np.any(flux < 0):
        #     raise ValueError("Glaxy %s: negative SED fluxes"%obj.id)
        flux[flux < 0] = 0.
        sedcat = np.vstack((lamb_gal, flux)).T
        sed_data = getObservedSED(
            sedCat=sedcat,
            redshift=obj.param['z'],
            av=obj.param["av"],
            redden=obj.param["redden"]
        )
        wave, flux = sed_data[0], sed_data[1]

        speci = interpolate.interp1d(wave, flux)
        lamb = np.arange(2000, 11001+0.5, 0.5)
        y = speci(lamb)
        # erg/s/cm2/A --> photon/s/m2/A
        all_sed = y * lamb / (cons.h.value * cons.c.value) * 1e-13
        sed = Table(np.array([lamb, all_sed]).T, names=('WAVELENGTH', 'FLUX'))

        # obj.param["sed"] = sed
        del wave
        del flux
        return sed

    def _load(self, file_path):
        gals_cat = h5.File(file_path, 'r')['galaxies']
        for ikeys in gals_cat.keys():
            gals = gals_cat[ikeys]

        param = self.initialize_param()
        igals = 9
        param['z'] = gals['redshift'][igals]
        param['mag_use_normal'] = gals['mag_csst_g'][igals]
        print(param['mag_use_normal'])

        param['e1'] = gals['ellipticity_true'][igals][0]
        param['e2'] = gals['ellipticity_true'][igals][1]

        # For shape calculation
        param['e1'], param['e2'], param['ell_total'] = self.rotate_ellipticity(
            e1=gals['ellipticity_true'][igals][0],
            e2=gals['ellipticity_true'][igals][1],
            rotation=self.rotation,
            unit='radians')

        param['e1_disk'] = param['e1']
        param['e2_disk'] = param['e2']
        param['e1_bulge'] = param['e1']
        param['e2_bulge'] = param['e2']

        # Masses
        param['bulgemass'] = gals['bulgemass'][igals]
        param['diskmass'] = gals['diskmass'][igals]

        param['size'] = gals['size'][igals]

        # Sersic index
        param['disk_sersic_idx'] = 1.
        param['bulge_sersic_idx'] = 4.

        # Sizes
        param['bfrac'] = param['bulgemass'] / \
            (param['bulgemass'] + param['diskmass'])
        if param['bfrac'] >= 0.6:
            param['hlr_bulge'] = param['size']
            param['hlr_disk'] = param['size'] * (1. - param['bfrac'])
        else:
            param['hlr_disk'] = param['size']
            param['hlr_bulge'] = param['size'] * param['bfrac']

        # SED coefficients
        param['coeff'] = gals['coeff'][igals]

        # TEST no redening and no extinction
        param['av'] = 0.0
        param['redden'] = 0

        obj = Galaxy(param)

        return obj


def defineCCD(iccd, config_file):
    with open(config_file, "r") as stream:
        try:
            config = yaml.safe_load(stream)
            # for key, value in config.items():
            #    print (key + " : " + str(value))
        except yaml.YAMLError as exc:
            print(exc)
    chip = Chip(chipID=iccd, config=config)
    chip.img = galsim.ImageF(chip.npix_x, chip.npix_y)
    focal_plane = FocalPlane(chip_list=[iccd])
    chip.img.wcs = focal_plane.getTanWCS(
        192.8595, 27.1283, -113.4333*galsim.degrees, chip.pix_scale)
    return chip


def defineFilt(chip):
    filter_param = FilterParam()
    filter_id, filter_type = chip.getChipFilter()
    filt = Filter(
        filter_id=filter_id,
        filter_type=filter_type,
        filter_param=filter_param,
        ccd_bandpass=chip.effCurve)
    return filt


class imagingModule_coverage(unittest.TestCase):
    def __init__(self, methodName='runTest'):
        super(imagingModule_coverage, self).__init__(methodName)
        self.dataPath = os.path.join(
            os.getenv('UNIT_TEST_DATA_ROOT'), 'csst_msc_sim/csst_fz_msc')
        self.iccd = 8

    def test_imaging(self):
        config_file = os.path.join(self.dataPath, 'config_test.yaml')
        chip = defineCCD(self.iccd, config_file)
        bandpass = defineFilt(chip)
        filt = defineFilt(chip)
        print(chip.chipID)
        print(chip.cen_pix_x, chip.cen_pix_y)

        catalog = Catalog()

        obj = catalog._load(os.path.join(
            self.dataPath, 'galaxies_C6_bundle000287.h5'))
        sed_data = catalog.load_sed(obj)
        norm_filt = catalog.load_norm_filt(obj)

        obj_sed, obj_mag, obj_flux = catalog.convert_sed(
            mag=obj.param["mag_use_normal"],
            sed=sed_data,
            target_filt=filt,
            norm_filt=norm_filt,
        )

        pupil_area = np.pi * (0.5 * 2.)**2
        exptime = 150.
        # getElectronFluxFilt(filt, tel, exptime)
        nphotons_tot = obj_flux*pupil_area * exptime
        full = integrate_sed_bandpass(sed=obj_sed, bandpass=filt.bandpass_full)
        print(full, nphotons_tot, obj_mag)
        for i in range(4):
            sub = integrate_sed_bandpass(
                sed=obj_sed, bandpass=filt.bandpass_sub_list[i])

            ratio = sub / full
            nphotons = ratio * nphotons_tot
            disk = galsim.Sersic(
                n=obj.param['disk_sersic_idx'], half_light_radius=obj.param['hlr_disk'], flux=1.0)
            disk_shape = galsim.Shear(
                g1=obj.param['e1_disk'], g2=obj.param['e2_disk'])
            disk = disk.shear(disk_shape)
            gal_temp = disk
            gal_temp = gal_temp.withFlux(nphotons)

            psf = galsim.Gaussian(sigma=0.1, flux=1)
            gal_temp = galsim.Convolve(psf, gal_temp)

            if i == 0:
                gal = gal_temp
            else:
                gal = gal + gal_temp
        print(gal)

        self.assertTrue(gal != None)


if __name__ == '__main__':
    unittest.main()