Loading ObservationSim/MockObject/CatalogBase.py +1 −1 Original line number Original line Diff line number Diff line Loading @@ -64,7 +64,7 @@ class CatalogBase(metaclass=ABCMeta): "bulgemass": 0., "bulgemass": 0., "diskmass": 0., "diskmass": 0., "size": 0., "size": 0., "detA": 0., "detA": 1., "type": 0, "type": 0, "veldisp": 0., "veldisp": 0., "coeff": np.zeros(20), "coeff": np.zeros(20), Loading tests/test_imaging.py +129 −128 Original line number Original line Diff line number Diff line Loading @@ -4,7 +4,9 @@ from scipy import interpolate import astropy.constants as cons import astropy.constants as cons from astropy.table import Table from astropy.table import Table import h5py as h5 import h5py as h5 import sys,os,math import sys import os import math from itertools import islice from itertools import islice import numpy as np import numpy as np import galsim import galsim Loading @@ -14,50 +16,62 @@ from astropy.cosmology import FlatLambdaCDM from astropy import constants from astropy import constants from astropy import units as U from astropy import units as U from ObservationSim.MockObject._util import getObservedSED from ObservationSim.MockObject._util import getObservedSED from ObservationSim.MockObject import CatalogBase, Galaxy from ObservationSim.Instrument import Chip, Filter, FilterParam, FocalPlane from ObservationSim.Instrument import Chip, Filter, FilterParam, FocalPlane from ObservationSim.PSF.PSFInterp import PSFInterp from ObservationSim.PSF.PSFInterp import PSFInterp from ObservationSim.MockObject._util import integrate_sed_bandpass, getNormFactorForSpecWithABMAG, getABMAG from ObservationSim.MockObject._util import integrate_sed_bandpass, getNormFactorForSpecWithABMAG, getABMAG def convert_sed(mag, sed, target_filt, norm_filt=None): class Catalog(CatalogBase): bandpass = target_filt.bandpass_full def __init__(self): super().__init__() self.rotation = 0. if norm_filt is not None: def load_norm_filt(self, obj): norm_thr_rang_ids = norm_filt['SENSITIVITY'] > 0.001 return None else: norm_filt = Table( def load_sed(self, obj, **kward): np.array(np.array([bandpass.wave_list*10.0, bandpass.func(bandpass.wave_list)])).T, names=(['WAVELENGTH', 'SENSITIVITY']) pcs = h5.File(os.path.join(os.getenv('UNIT_TEST_DATA_ROOT'), ) 'csst_msc_sim/csst_fz_msc/sedlibs/pcs.h5'), "r") norm_thr_rang_ids = norm_filt['SENSITIVITY'] > 0.001 lamb = h5.File(os.path.join(os.getenv('UNIT_TEST_DATA_ROOT'), 'csst_msc_sim/csst_fz_msc/sedlibs/lamb.h5'), "r") sedNormFactor = getNormFactorForSpecWithABMAG(ABMag=mag, lamb_gal = lamb['lamb'][()] spectrum=sed, pcs = pcs['pcs'][()] norm_thr=norm_filt, sWave=np.floor(norm_filt[norm_thr_rang_ids][0][0]), cosmo = FlatLambdaCDM(H0=67.66, Om0=0.3111) eWave=np.ceil(norm_filt[norm_thr_rang_ids][-1][0])) factor = 10**(-.4 * cosmo.distmod(obj.param['z']).value) sed_photon = copy.copy(sed) flux = np.matmul(pcs, obj.param['coeff']) * factor sed_photon = np.array([sed_photon['WAVELENGTH'], sed_photon['FLUX']*sedNormFactor]).T # if np.any(flux < 0): sed_photon = galsim.LookupTable(x=np.array(sed_photon[:, 0]), f=np.array(sed_photon[:, 1]), interpolant='nearest') # raise ValueError("Glaxy %s: negative SED fluxes"%obj.id) # Get magnitude flux[flux < 0] = 0. sed_photon = galsim.SED(sed_photon, wave_type='A', flux_type='1', fast=False) sedcat = np.vstack((lamb_gal, flux)).T interFlux = integrate_sed_bandpass(sed=sed_photon, bandpass=bandpass) sed_data = getObservedSED( mag_csst = getABMAG( sedCat=sedcat, interFlux=interFlux, redshift=obj.param['z'], bandpass=bandpass av=obj.param["av"], redden=obj.param["redden"] ) ) if target_filt.survey_type == "photometric": wave, flux = sed_data[0], sed_data[1] return sed_photon, mag_csst, interFlux elif target_filt.survey_type == "spectroscopic": speci = interpolate.interp1d(wave, flux) del sed_photon lamb = np.arange(2000, 11001+0.5, 0.5) return sed, mag_csst, interFlux 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_gals(file_path): def _load(self, file_path): gals_cat = h5.File(file_path, 'r')['galaxies'] gals_cat = h5.File(file_path, 'r')['galaxies'] for ikeys in gals_cat.keys(): for ikeys in gals_cat.keys(): gals = gals_cat[ikeys] gals = gals_cat[ikeys] param = {} param = self.initialize_param() igals = 9 igals = 9 param['z'] = gals['redshift'][igals] param['z'] = gals['redshift'][igals] param['mag_use_normal'] = gals['mag_csst_g'][igals] param['mag_use_normal'] = gals['mag_csst_g'][igals] Loading @@ -66,6 +80,13 @@ def _load_gals(file_path): param['e1'] = gals['ellipticity_true'][igals][0] param['e1'] = gals['ellipticity_true'][igals][0] param['e2'] = gals['ellipticity_true'][igals][1] 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['e1_disk'] = param['e1'] param['e2_disk'] = param['e2'] param['e2_disk'] = param['e2'] param['e1_bulge'] = param['e1'] param['e1_bulge'] = param['e1'] Loading @@ -82,7 +103,8 @@ def _load_gals(file_path): param['bulge_sersic_idx'] = 4. param['bulge_sersic_idx'] = 4. # Sizes # Sizes param['bfrac'] = param['bulgemass']/(param['bulgemass'] + param['diskmass']) param['bfrac'] = param['bulgemass'] / \ (param['bulgemass'] + param['diskmass']) if param['bfrac'] >= 0.6: if param['bfrac'] >= 0.6: param['hlr_bulge'] = param['size'] param['hlr_bulge'] = param['size'] param['hlr_disk'] = param['size'] * (1. - param['bfrac']) param['hlr_disk'] = param['size'] * (1. - param['bfrac']) Loading @@ -97,37 +119,9 @@ def _load_gals(file_path): param['av'] = 0.0 param['av'] = 0.0 param['redden'] = 0 param['redden'] = 0 pcs = h5.File(os.path.join(os.getenv('UNIT_TEST_DATA_ROOT'), 'csst_msc_sim/csst_fz_msc/sedlibs/pcs.h5'), "r") obj = Galaxy(param) 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(param['z']).value) flux = np.matmul(pcs, 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=param['z'], av=param["av"], redden=param["redden"] ) wave, flux = sed_data[0], sed_data[1] speci = interpolate.interp1d(wave, flux) return obj 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')) param["sed"] = sed del wave del flux return param def defineCCD(iccd, config_file): def defineCCD(iccd, config_file): Loading @@ -141,9 +135,11 @@ def defineCCD(iccd, config_file): chip = Chip(chipID=iccd, config=config) chip = Chip(chipID=iccd, config=config) chip.img = galsim.ImageF(chip.npix_x, chip.npix_y) chip.img = galsim.ImageF(chip.npix_x, chip.npix_y) focal_plane = FocalPlane(chip_list=[iccd]) focal_plane = FocalPlane(chip_list=[iccd]) chip.img.wcs= focal_plane.getTanWCS(192.8595, 27.1283, -113.4333*galsim.degrees, chip.pix_scale) chip.img.wcs = focal_plane.getTanWCS( 192.8595, 27.1283, -113.4333*galsim.degrees, chip.pix_scale) return chip return chip def defineFilt(chip): def defineFilt(chip): filter_param = FilterParam() filter_param = FilterParam() filter_id, filter_type = chip.getChipFilter() filter_id, filter_type = chip.getChipFilter() Loading @@ -158,7 +154,8 @@ def defineFilt(chip): class imagingModule_coverage(unittest.TestCase): class imagingModule_coverage(unittest.TestCase): def __init__(self, methodName='runTest'): def __init__(self, methodName='runTest'): super(imagingModule_coverage, self).__init__(methodName) super(imagingModule_coverage, self).__init__(methodName) self.dataPath = os.path.join(os.getenv('UNIT_TEST_DATA_ROOT'), 'csst_msc_sim/csst_fz_msc') self.dataPath = os.path.join( os.getenv('UNIT_TEST_DATA_ROOT'), 'csst_msc_sim/csst_fz_msc') self.iccd = 8 self.iccd = 8 def test_imaging(self): def test_imaging(self): Loading @@ -169,13 +166,15 @@ class imagingModule_coverage(unittest.TestCase): print(chip.chipID) print(chip.chipID) print(chip.cen_pix_x, chip.cen_pix_y) print(chip.cen_pix_x, chip.cen_pix_y) catalog = Catalog() obj = _load_gals(os.path.join(self.dataPath, 'galaxies_C6_bundle000287.h5')) #("UNIT_TEST_DATA/galaxies_C6_bundle000287.h5") 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) sed_data = obj['sed'] obj_sed, obj_mag, obj_flux = catalog.convert_sed( norm_filt = None mag=obj.param["mag_use_normal"], obj_sed, obj_mag, obj_flux = convert_sed( mag=obj["mag_use_normal"], sed=sed_data, sed=sed_data, target_filt=filt, target_filt=filt, norm_filt=norm_filt, norm_filt=norm_filt, Loading @@ -183,16 +182,20 @@ class imagingModule_coverage(unittest.TestCase): pupil_area = np.pi * (0.5 * 2.)**2 pupil_area = np.pi * (0.5 * 2.)**2 exptime = 150. exptime = 150. nphotons_tot = obj_flux*pupil_area * exptime #getElectronFluxFilt(filt, tel, exptime) # getElectronFluxFilt(filt, tel, exptime) nphotons_tot = obj_flux*pupil_area * exptime full = integrate_sed_bandpass(sed=obj_sed, bandpass=filt.bandpass_full) full = integrate_sed_bandpass(sed=obj_sed, bandpass=filt.bandpass_full) print(full, nphotons_tot, obj_mag) print(full, nphotons_tot, obj_mag) for i in range(4): for i in range(4): sub = integrate_sed_bandpass(sed=obj_sed, bandpass=filt.bandpass_sub_list[i]) sub = integrate_sed_bandpass( sed=obj_sed, bandpass=filt.bandpass_sub_list[i]) ratio = sub / full ratio = sub / full nphotons = ratio * nphotons_tot nphotons = ratio * nphotons_tot disk = galsim.Sersic(n=obj['disk_sersic_idx'], half_light_radius=obj['hlr_disk'], flux=1.0) disk = galsim.Sersic( disk_shape = galsim.Shear(g1=obj['e1_disk'], g2=obj['e2_disk']) 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) disk = disk.shear(disk_shape) gal_temp = disk gal_temp = disk gal_temp = gal_temp.withFlux(nphotons) gal_temp = gal_temp.withFlux(nphotons) Loading @@ -206,10 +209,8 @@ class imagingModule_coverage(unittest.TestCase): gal = gal + gal_temp gal = gal + gal_temp print(gal) print(gal) self.assertTrue(gal != None) self.assertTrue(gal != None) if __name__ == '__main__': if __name__ == '__main__': unittest.main() unittest.main() Loading
ObservationSim/MockObject/CatalogBase.py +1 −1 Original line number Original line Diff line number Diff line Loading @@ -64,7 +64,7 @@ class CatalogBase(metaclass=ABCMeta): "bulgemass": 0., "bulgemass": 0., "diskmass": 0., "diskmass": 0., "size": 0., "size": 0., "detA": 0., "detA": 1., "type": 0, "type": 0, "veldisp": 0., "veldisp": 0., "coeff": np.zeros(20), "coeff": np.zeros(20), Loading
tests/test_imaging.py +129 −128 Original line number Original line Diff line number Diff line Loading @@ -4,7 +4,9 @@ from scipy import interpolate import astropy.constants as cons import astropy.constants as cons from astropy.table import Table from astropy.table import Table import h5py as h5 import h5py as h5 import sys,os,math import sys import os import math from itertools import islice from itertools import islice import numpy as np import numpy as np import galsim import galsim Loading @@ -14,50 +16,62 @@ from astropy.cosmology import FlatLambdaCDM from astropy import constants from astropy import constants from astropy import units as U from astropy import units as U from ObservationSim.MockObject._util import getObservedSED from ObservationSim.MockObject._util import getObservedSED from ObservationSim.MockObject import CatalogBase, Galaxy from ObservationSim.Instrument import Chip, Filter, FilterParam, FocalPlane from ObservationSim.Instrument import Chip, Filter, FilterParam, FocalPlane from ObservationSim.PSF.PSFInterp import PSFInterp from ObservationSim.PSF.PSFInterp import PSFInterp from ObservationSim.MockObject._util import integrate_sed_bandpass, getNormFactorForSpecWithABMAG, getABMAG from ObservationSim.MockObject._util import integrate_sed_bandpass, getNormFactorForSpecWithABMAG, getABMAG def convert_sed(mag, sed, target_filt, norm_filt=None): class Catalog(CatalogBase): bandpass = target_filt.bandpass_full def __init__(self): super().__init__() self.rotation = 0. if norm_filt is not None: def load_norm_filt(self, obj): norm_thr_rang_ids = norm_filt['SENSITIVITY'] > 0.001 return None else: norm_filt = Table( def load_sed(self, obj, **kward): np.array(np.array([bandpass.wave_list*10.0, bandpass.func(bandpass.wave_list)])).T, names=(['WAVELENGTH', 'SENSITIVITY']) pcs = h5.File(os.path.join(os.getenv('UNIT_TEST_DATA_ROOT'), ) 'csst_msc_sim/csst_fz_msc/sedlibs/pcs.h5'), "r") norm_thr_rang_ids = norm_filt['SENSITIVITY'] > 0.001 lamb = h5.File(os.path.join(os.getenv('UNIT_TEST_DATA_ROOT'), 'csst_msc_sim/csst_fz_msc/sedlibs/lamb.h5'), "r") sedNormFactor = getNormFactorForSpecWithABMAG(ABMag=mag, lamb_gal = lamb['lamb'][()] spectrum=sed, pcs = pcs['pcs'][()] norm_thr=norm_filt, sWave=np.floor(norm_filt[norm_thr_rang_ids][0][0]), cosmo = FlatLambdaCDM(H0=67.66, Om0=0.3111) eWave=np.ceil(norm_filt[norm_thr_rang_ids][-1][0])) factor = 10**(-.4 * cosmo.distmod(obj.param['z']).value) sed_photon = copy.copy(sed) flux = np.matmul(pcs, obj.param['coeff']) * factor sed_photon = np.array([sed_photon['WAVELENGTH'], sed_photon['FLUX']*sedNormFactor]).T # if np.any(flux < 0): sed_photon = galsim.LookupTable(x=np.array(sed_photon[:, 0]), f=np.array(sed_photon[:, 1]), interpolant='nearest') # raise ValueError("Glaxy %s: negative SED fluxes"%obj.id) # Get magnitude flux[flux < 0] = 0. sed_photon = galsim.SED(sed_photon, wave_type='A', flux_type='1', fast=False) sedcat = np.vstack((lamb_gal, flux)).T interFlux = integrate_sed_bandpass(sed=sed_photon, bandpass=bandpass) sed_data = getObservedSED( mag_csst = getABMAG( sedCat=sedcat, interFlux=interFlux, redshift=obj.param['z'], bandpass=bandpass av=obj.param["av"], redden=obj.param["redden"] ) ) if target_filt.survey_type == "photometric": wave, flux = sed_data[0], sed_data[1] return sed_photon, mag_csst, interFlux elif target_filt.survey_type == "spectroscopic": speci = interpolate.interp1d(wave, flux) del sed_photon lamb = np.arange(2000, 11001+0.5, 0.5) return sed, mag_csst, interFlux 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_gals(file_path): def _load(self, file_path): gals_cat = h5.File(file_path, 'r')['galaxies'] gals_cat = h5.File(file_path, 'r')['galaxies'] for ikeys in gals_cat.keys(): for ikeys in gals_cat.keys(): gals = gals_cat[ikeys] gals = gals_cat[ikeys] param = {} param = self.initialize_param() igals = 9 igals = 9 param['z'] = gals['redshift'][igals] param['z'] = gals['redshift'][igals] param['mag_use_normal'] = gals['mag_csst_g'][igals] param['mag_use_normal'] = gals['mag_csst_g'][igals] Loading @@ -66,6 +80,13 @@ def _load_gals(file_path): param['e1'] = gals['ellipticity_true'][igals][0] param['e1'] = gals['ellipticity_true'][igals][0] param['e2'] = gals['ellipticity_true'][igals][1] 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['e1_disk'] = param['e1'] param['e2_disk'] = param['e2'] param['e2_disk'] = param['e2'] param['e1_bulge'] = param['e1'] param['e1_bulge'] = param['e1'] Loading @@ -82,7 +103,8 @@ def _load_gals(file_path): param['bulge_sersic_idx'] = 4. param['bulge_sersic_idx'] = 4. # Sizes # Sizes param['bfrac'] = param['bulgemass']/(param['bulgemass'] + param['diskmass']) param['bfrac'] = param['bulgemass'] / \ (param['bulgemass'] + param['diskmass']) if param['bfrac'] >= 0.6: if param['bfrac'] >= 0.6: param['hlr_bulge'] = param['size'] param['hlr_bulge'] = param['size'] param['hlr_disk'] = param['size'] * (1. - param['bfrac']) param['hlr_disk'] = param['size'] * (1. - param['bfrac']) Loading @@ -97,37 +119,9 @@ def _load_gals(file_path): param['av'] = 0.0 param['av'] = 0.0 param['redden'] = 0 param['redden'] = 0 pcs = h5.File(os.path.join(os.getenv('UNIT_TEST_DATA_ROOT'), 'csst_msc_sim/csst_fz_msc/sedlibs/pcs.h5'), "r") obj = Galaxy(param) 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(param['z']).value) flux = np.matmul(pcs, 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=param['z'], av=param["av"], redden=param["redden"] ) wave, flux = sed_data[0], sed_data[1] speci = interpolate.interp1d(wave, flux) return obj 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')) param["sed"] = sed del wave del flux return param def defineCCD(iccd, config_file): def defineCCD(iccd, config_file): Loading @@ -141,9 +135,11 @@ def defineCCD(iccd, config_file): chip = Chip(chipID=iccd, config=config) chip = Chip(chipID=iccd, config=config) chip.img = galsim.ImageF(chip.npix_x, chip.npix_y) chip.img = galsim.ImageF(chip.npix_x, chip.npix_y) focal_plane = FocalPlane(chip_list=[iccd]) focal_plane = FocalPlane(chip_list=[iccd]) chip.img.wcs= focal_plane.getTanWCS(192.8595, 27.1283, -113.4333*galsim.degrees, chip.pix_scale) chip.img.wcs = focal_plane.getTanWCS( 192.8595, 27.1283, -113.4333*galsim.degrees, chip.pix_scale) return chip return chip def defineFilt(chip): def defineFilt(chip): filter_param = FilterParam() filter_param = FilterParam() filter_id, filter_type = chip.getChipFilter() filter_id, filter_type = chip.getChipFilter() Loading @@ -158,7 +154,8 @@ def defineFilt(chip): class imagingModule_coverage(unittest.TestCase): class imagingModule_coverage(unittest.TestCase): def __init__(self, methodName='runTest'): def __init__(self, methodName='runTest'): super(imagingModule_coverage, self).__init__(methodName) super(imagingModule_coverage, self).__init__(methodName) self.dataPath = os.path.join(os.getenv('UNIT_TEST_DATA_ROOT'), 'csst_msc_sim/csst_fz_msc') self.dataPath = os.path.join( os.getenv('UNIT_TEST_DATA_ROOT'), 'csst_msc_sim/csst_fz_msc') self.iccd = 8 self.iccd = 8 def test_imaging(self): def test_imaging(self): Loading @@ -169,13 +166,15 @@ class imagingModule_coverage(unittest.TestCase): print(chip.chipID) print(chip.chipID) print(chip.cen_pix_x, chip.cen_pix_y) print(chip.cen_pix_x, chip.cen_pix_y) catalog = Catalog() obj = _load_gals(os.path.join(self.dataPath, 'galaxies_C6_bundle000287.h5')) #("UNIT_TEST_DATA/galaxies_C6_bundle000287.h5") 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) sed_data = obj['sed'] obj_sed, obj_mag, obj_flux = catalog.convert_sed( norm_filt = None mag=obj.param["mag_use_normal"], obj_sed, obj_mag, obj_flux = convert_sed( mag=obj["mag_use_normal"], sed=sed_data, sed=sed_data, target_filt=filt, target_filt=filt, norm_filt=norm_filt, norm_filt=norm_filt, Loading @@ -183,16 +182,20 @@ class imagingModule_coverage(unittest.TestCase): pupil_area = np.pi * (0.5 * 2.)**2 pupil_area = np.pi * (0.5 * 2.)**2 exptime = 150. exptime = 150. nphotons_tot = obj_flux*pupil_area * exptime #getElectronFluxFilt(filt, tel, exptime) # getElectronFluxFilt(filt, tel, exptime) nphotons_tot = obj_flux*pupil_area * exptime full = integrate_sed_bandpass(sed=obj_sed, bandpass=filt.bandpass_full) full = integrate_sed_bandpass(sed=obj_sed, bandpass=filt.bandpass_full) print(full, nphotons_tot, obj_mag) print(full, nphotons_tot, obj_mag) for i in range(4): for i in range(4): sub = integrate_sed_bandpass(sed=obj_sed, bandpass=filt.bandpass_sub_list[i]) sub = integrate_sed_bandpass( sed=obj_sed, bandpass=filt.bandpass_sub_list[i]) ratio = sub / full ratio = sub / full nphotons = ratio * nphotons_tot nphotons = ratio * nphotons_tot disk = galsim.Sersic(n=obj['disk_sersic_idx'], half_light_radius=obj['hlr_disk'], flux=1.0) disk = galsim.Sersic( disk_shape = galsim.Shear(g1=obj['e1_disk'], g2=obj['e2_disk']) 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) disk = disk.shear(disk_shape) gal_temp = disk gal_temp = disk gal_temp = gal_temp.withFlux(nphotons) gal_temp = gal_temp.withFlux(nphotons) Loading @@ -206,10 +209,8 @@ class imagingModule_coverage(unittest.TestCase): gal = gal + gal_temp gal = gal + gal_temp print(gal) print(gal) self.assertTrue(gal != None) self.assertTrue(gal != None) if __name__ == '__main__': if __name__ == '__main__': unittest.main() unittest.main()