Merge branch 'master' into 'release_v3.0' (df22b3b0) · Commits · csst-sims / csst_msc_sim

catalog/C10_Catalog.py

0 → 100644

+578 −0

Original line number	Diff line number	Diff line
		import os
		import galsim
		import random
		import copy
		import numpy as np
		import h5py as h5
		import healpy as hp
		import astropy.constants as cons
		import traceback
		from astropy.coordinates import spherical_to_cartesian
		from astropy.table import Table
		from scipy import interpolate
		from datetime import datetime

		from observation_sim.mock_objects import CatalogBase, Star, Galaxy, Quasar, ExtinctionMW
		from observation_sim.mock_objects._util import tag_sed, getObservedSED, getABMAG, integrate_sed_bandpass, comoving_dist
		from observation_sim.astrometry.Astrometry_util import on_orbit_obs_position

		# (TEST)
		from astropy.cosmology import FlatLambdaCDM
		from astropy import constants
		from astropy import units as U
		from astropy.coordinates import SkyCoord
		from astropy.io import fits
		import astropy.constants as atcons

		import ctypes

		try:
		import importlib.resources as pkg_resources
		except ImportError:
		# Try backported to PY<37 'importlib_resources'
		import importlib_resources as pkg_resources

		NSIDE = 128

		pointing_file_list = ['pointing_C10_1000deg_lat80.dat', 'pointing_C10_1000deg_latm80_.dat', 'pointing_C10_1000deg_p180_m30.dat', 'pointing_C10_1000deg_p320_m40.dat']
		star_file_list = ['CSST_C10_1000sqd_1.hdf5', 'CSST_C10_1000sqd_2_Fornax.hdf5', 'CSST_C10_1000sqd_3.hdf5', 'CSST_C10_1000sqd_4.hdf5']


		def get_galaxy_qso_list(config):
		cat_dir = config["catalog_options"]["input_path"]["cat_dir"]
		with open(cat_dir+"galcat_C10/qsocat/gal_C10_file", 'r', encoding='utf-8') as fn1:
		fn1_list = fn1.readlines()
		bundle_file_list = [line.strip() for line in fn1_list]
		with open(cat_dir+"galcat_C10/qsocat/qso_sed_C10_file", 'r', encoding='utf-8') as fn2:
		fn2_list = fn2.readlines()
		qsosed_file_list = [line.strip() for line in fn2_list]
		return bundle_file_list, qsosed_file_list


		class StarParm(ctypes.Structure):
		_fields_ = [
		('logte', ctypes.c_float),
		('logg', ctypes.c_float),
		('Mass', ctypes.c_float),
		('Av', ctypes.c_float),
		('mu0', ctypes.c_float),
		('Z', ctypes.c_float)]


		def get_star_cat(config):
		idx = pointing_file_list.index(os.path.basename(config['obs_setting']['pointing_file']))
		return_star_path = star_file_list[idx]
		return return_star_path


		def get_bundleIndex(healpixID_ring, bundleOrder=4, healpixOrder=7):
		assert NSIDE == 2**healpixOrder
		shift = healpixOrder - bundleOrder
		shift = 2*shift

		nside_bundle = 2**bundleOrder
		nside_healpix = 2**healpixOrder

		healpixID_nest = hp.ring2nest(nside_healpix, healpixID_ring)
		bundleID_nest = (healpixID_nest >> shift)
		bundleID_ring = hp.nest2ring(nside_bundle, bundleID_nest)

		return bundleID_ring


		def get_agnsed_file(bundle_file_name, config):
		bundle_file_list, qsosed_file_list = get_galaxy_qso_list(config)
		return qsosed_file_list[bundle_file_list.index(bundle_file_name)]


		class Catalog(CatalogBase):
		def __init__(self, config, chip, pointing, chip_output, filt, **kwargs):
		super().__init__()
		self.cat_dir = config["catalog_options"]["input_path"]["cat_dir"]

		self.cosmo = FlatLambdaCDM(H0=67.66, Om0=0.3111)

		self.chip_output = chip_output
		self.filt = filt
		self.logger = chip_output.logger

		with pkg_resources.path('catalog.data', 'SLOAN_SDSS.g.fits') as filter_path:
		self.normF_star = Table.read(str(filter_path))

		self.config = config
		self.chip = chip
		self.pointing = pointing

		self.max_size = 0.

		# [TODO] Milky Way extinction
		if "enable_mw_ext_gal" in config["catalog_options"] and config["catalog_options"]["enable_mw_ext_gal"]:
		if "planck_ebv_map" not in config["catalog_options"]:
		raise ValueError(
		"Planck dust map must be given to enable Milky Way extinction calculation for galaxies.")
		self.mw_ext = ExtinctionMW()
		self.mw_ext.init_ext_model(model_name="odonnell")
		self.mw_ext.load_Planck_ext(
		file_path=config["catalog_options"]["planck_ebv_map"])

		if "star_cat" in config["catalog_options"]["input_path"] and config["catalog_options"]["input_path"]["star_cat"] and not config["catalog_options"]["galaxy_only"]:
		# Get the cloest star catalog file
		star_file_name = get_star_cat(self.config)
		star_path = os.path.join(config["catalog_options"]["input_path"]["star_cat"], star_file_name)
		self.star_path = os.path.join(self.cat_dir, star_path)
		self.star_SED_path = config["catalog_options"]["SED_templates_path"]["star_SED"]
		self._load_SED_lib_star()

		if "galaxy_cat" in config["catalog_options"]["input_path"] and config["catalog_options"]["input_path"]["galaxy_cat"] and not config["catalog_options"]["star_only"]:
		galaxy_dir = config["catalog_options"]["input_path"]["galaxy_cat"]
		self.galaxy_path = os.path.join(self.cat_dir, galaxy_dir)
		self.galaxy_SED_path = config["catalog_options"]["SED_templates_path"]["galaxy_SED"]
		self._load_SED_lib_gals()
		self.agn_seds = {}

		if "AGN_SED" in config["catalog_options"]["SED_templates_path"] and not config["catalog_options"]["star_only"]:
		self.AGN_SED_path = config["catalog_options"]["SED_templates_path"]["AGN_SED"]

		if "rotateEll" in config["catalog_options"]:
		self.rotation = np.radians(
		float(config["catalog_options"]["rotateEll"]))
		else:
		self.rotation = 0.

		# Update output .cat header with catalog specific output columns
		self._add_output_columns_header()

		self._get_healpix_list()
		self._load()

		def _add_output_columns_header(self):
		self.add_hdr = " av stellarmass dm teff logg feh"
		self.add_hdr += " bulgemass diskmass detA e1 e2 kappa g1 g2 size galType veldisp "

		self.add_fmt = "%8.4f %8.4f %8.4f %8.4f %8.4f %8.4f"
		self.add_fmt += " %8.4f %8.4f %8.4f %8.4f %8.4f %8.4f %8.4f %8.4f %8.4f %4d %8.4f "
		self.chip_output.update_output_header(
		additional_column_names=self.add_hdr)

		def _get_healpix_list(self):
		self.sky_coverage = self.chip.getSkyCoverageEnlarged(
		self.chip.img.wcs, margin=0.2)
		ra_min, ra_max, dec_min, dec_max = self.sky_coverage.xmin, self.sky_coverage.xmax, self.sky_coverage.ymin, self.sky_coverage.ymax
		ra = np.deg2rad(np.array([ra_min, ra_max, ra_max, ra_min]))
		dec = np.deg2rad(np.array([dec_max, dec_max, dec_min, dec_min]))
		self.pix_list = hp.query_polygon(
		NSIDE,
		hp.ang2vec(np.radians(90.) - dec, ra),
		inclusive=True
		)
		if self.logger is not None:
		msg = str(("HEALPix List: ", self.pix_list))
		self.logger.info(msg)
		else:
		print("HEALPix List: ", self.pix_list)

		def load_norm_filt(self, obj):
		if obj.type == "star":
		return self.normF_star
		elif obj.type == "galaxy" or obj.type == "quasar":
		# return self.normF_galaxy
		return None
		else:
		return None

		# def _load_SED_lib_star(self):
		# self.tempSED_star = h5.File(self.star_SED_path,'r')
		def _load_SED_lib_star(self):
		# self.tempSED_star = h5.File(self.star_SED_path,'r')
		with pkg_resources.path('catalog.data', 'starSpecInterp.so') as ddl_path:
		self.starDDL = ctypes.CDLL(str(ddl_path))
		self.starDDL.loadSpecLibs.argtypes = [ctypes.c_char_p, ctypes.c_char_p]
		self.starDDL.loadExts.argtypes = [ctypes.c_char_p]
		nwv = self.starDDL.loadSpecLibs(str.encode(os.path.join(
		self.star_SED_path, 'file_BT-Settl_CSST_wl1000-24000_R1000.par')), str.encode(self.star_SED_path))
		self.starDDL.loadExts(str.encode(os.path.join(
		self.star_SED_path, "Ext_odonnell94_R3.1_CSST_wl1000-24000_R1000.fits")))
		self.star_spec_len = nwv

		def _interp_star_sed(self, obj):
		spec = (ctypes.c_float*self.star_spec_len)()
		wave = (ctypes.c_float*self.star_spec_len)()
		self.starDDL.interpSingleStar.argtypes = [
		ctypes.Structure, ctypes.POINTER(ctypes.c_float)]
		# s=Star(obj.param['teff'], obj.param['grav''], obj.paramstar['mwmsc_mass'], obj.param['AV'], obj.param['DM'], obj.param['z_met'])
		s = StarParm(obj.param['teff'], obj.param['logg'], obj.param['stellarMass'],
		obj.param['av'], obj.param['DM'], obj.param['feh'])

		self.starDDL.interpSingleStar(s, spec, wave)

		rv_c = obj.param['rv']/(atcons.c.value/1000.)
		Doppler_factor = np.sqrt((1+rv_c)/(1-rv_c))
		wave_RV = wave*Doppler_factor
		return wave_RV, np.power(10, spec[:])

		def _load_SED_lib_gals(self):
		pcs = h5.File(os.path.join(self.galaxy_SED_path, "pcs.h5"), "r")
		lamb = h5.File(os.path.join(self.galaxy_SED_path, "lamb.h5"), "r")
		self.lamb_gal = lamb['lamb'][()]
		self.pcs = pcs['pcs'][()]

		def _load_gals(self, gals, pix_id=None, cat_id=0, agnsed_file=""):
		ngals = len(gals['ra'])

		# Apply astrometric modeling
		ra_arr = gals['ra'][:]
		dec_arr = gals['dec'][:]
		if self.config["obs_setting"]["enable_astrometric_model"]:
		ra_list = ra_arr.tolist()
		dec_list = dec_arr.tolist()
		pmra_list = np.zeros(ngals).tolist()
		pmdec_list = np.zeros(ngals).tolist()
		rv_list = np.zeros(ngals).tolist()
		parallax_list = [1e-9] * ngals
		dt = datetime.utcfromtimestamp(self.pointing.timestamp)
		date_str = dt.date().isoformat()
		time_str = dt.time().isoformat()
		ra_arr, dec_arr = on_orbit_obs_position(
		input_ra_list=ra_list,
		input_dec_list=dec_list,
		input_pmra_list=pmra_list,
		input_pmdec_list=pmdec_list,
		input_rv_list=rv_list,
		input_parallax_list=parallax_list,
		input_nstars=ngals,
		input_x=self.pointing.sat_x,
		input_y=self.pointing.sat_y,
		input_z=self.pointing.sat_z,
		input_vx=self.pointing.sat_vx,
		input_vy=self.pointing.sat_vy,
		input_vz=self.pointing.sat_vz,
		input_epoch="J2000",
		input_date_str=date_str,
		input_time_str=time_str
		)

		# [TODO] get Milky Way extinction AVs
		if "enable_mw_ext_gal" in self.config["catalog_options"] and self.config["catalog_options"]["enable_mw_ext_gal"]:
		MW_Av_arr = self.mw_ext.Av_from_Planck(ra=ra_arr, dec=dec_arr)
		else:
		MW_Av_arr = np.zeros(len(ra_arr))

		for igals in range(ngals):
		# # (TEST)
		# if igals > 100:
		# break

		param = self.initialize_param()
		param['ra'] = ra_arr[igals]
		param['dec'] = dec_arr[igals]
		param['ra_orig'] = gals['ra'][igals]
		param['dec_orig'] = gals['dec'][igals]

		# [TODO] get Milky Way extinction AVs
		param['mw_Av'] = MW_Av_arr[igals]

		if not self.chip.isContainObj(ra_obj=param['ra'], dec_obj=param['dec'], margin=200):
		continue

		# param['mag_use_normal'] = gals['mag_csst_%s'%(self.filt.filter_type)][igals]
		# if self.filt.is_too_dim(mag=param['mag_use_normal'], margin=self.config["obs_setting"]["mag_lim_margin"]):
		# continue

		param['z'] = gals['redshift'][igals]
		param['model_tag'] = 'None'
		param['g1'] = gals['shear'][igals][0]
		param['g2'] = gals['shear'][igals][1]
		param['kappa'] = gals['kappa'][igals]
		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['ell_total'] = np.sqrt(param['e1']2 + param['e2']2)
		if param['ell_total'] > 0.9:
		continue
		# phi_e = cmath.phase(complex(param['e1'], param['e2']))
		# param['e1'] = param['ell_total'] * np.cos(phi_e + 2*self.rotation)
		# param['e2'] = param['ell_total'] * np.sin(phi_e + 2*self.rotation)

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

		param['delta_ra'] = 0
		param['delta_dec'] = 0

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

		param['size'] = gals['size'][igals]
		if param['size'] > self.max_size:
		self.max_size = param['size']

		# 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]
		param['detA'] = gals['detA'][igals]

		# Others
		param['galType'] = gals['type'][igals]
		param['veldisp'] = gals['veldisp'][igals]

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

		# TEMP
		self.ids += 1
		param['id'] = '%06d' % (int(pix_id)) + \
		'%06d' % (cat_id) + '%08d' % (igals)

		# Is this an Quasar?
		param['qsoindex'] = gals['qsoindex'][igals]
		if param['qsoindex'] == -1:
		param['star'] = 0 # Galaxy
		param['agnsed_file'] = ""
		obj = Galaxy(param, logger=self.logger)
		else:
		param_qso = copy.deepcopy(param)
		param_qso['star'] = 2 # Quasar
		param_qso['agnsed_file'] = agnsed_file
		# First add QSO model
		obj = Quasar(param_qso, logger=self.logger)
		# Need to deal with additional output columns
		obj.additional_output_str = self.add_fmt % (0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,
		0, 0.)
		self.objs.append(obj)
		# Then add host galaxy model
		param['star'] = 0 # Galaxy
		param['agnsed_file'] = ""
		obj = Galaxy(param, logger=self.logger)

		# Need to deal with additional output columns for (host) galaxy
		obj.additional_output_str = self.add_fmt % (0., 0., 0., 0., 0., 0.,
		param['bulgemass'], param['diskmass'], param['detA'],
		param['e1'], param['e2'], param['kappa'], param['g1'], param['g2'], param['size'],
		param['galType'], param['veldisp'])

		self.objs.append(obj)

		def _load_stars(self, stars, pix_id=None):
		nstars = len(stars['RA'])
		# Apply astrometric modeling
		ra_arr = stars["RA"][:]
		dec_arr = stars["DEC"][:]
		pmra_arr = stars['pmra'][:]
		pmdec_arr = stars['pmdec'][:]
		rv_arr = stars['RV'][:]
		parallax_arr = stars['parallax'][:]
		if self.config["obs_setting"]["enable_astrometric_model"]:
		ra_list = ra_arr.tolist()
		dec_list = dec_arr.tolist()
		pmra_list = pmra_arr.tolist()
		pmdec_list = pmdec_arr.tolist()
		rv_list = rv_arr.tolist()
		parallax_list = parallax_arr.tolist()
		dt = datetime.utcfromtimestamp(self.pointing.timestamp)
		date_str = dt.date().isoformat()
		time_str = dt.time().isoformat()
		ra_arr, dec_arr = on_orbit_obs_position(
		input_ra_list=ra_list,
		input_dec_list=dec_list,
		input_pmra_list=pmra_list,
		input_pmdec_list=pmdec_list,
		input_rv_list=rv_list,
		input_parallax_list=parallax_list,
		input_nstars=nstars,
		input_x=self.pointing.sat_x,
		input_y=self.pointing.sat_y,
		input_z=self.pointing.sat_z,
		input_vx=self.pointing.sat_vx,
		input_vy=self.pointing.sat_vy,
		input_vz=self.pointing.sat_vz,
		input_epoch="J2000",
		input_date_str=date_str,
		input_time_str=time_str
		)
		for istars in range(nstars):
		# # (TEST)
		# if istars > 100:
		# break

		param = self.initialize_param()
		param['ra'] = ra_arr[istars]
		param['dec'] = dec_arr[istars]
		param['ra_orig'] = stars["RA"][istars]
		param['dec_orig'] = stars["DEC"][istars]
		param['pmra'] = pmra_arr[istars]
		param['pmdec'] = pmdec_arr[istars]
		param['rv'] = rv_arr[istars]
		param['parallax'] = parallax_arr[istars]
		if not self.chip.isContainObj(ra_obj=param['ra'], dec_obj=param['dec'], margin=200):
		continue
		param['mag_use_normal'] = stars['app_SDSS_g'][istars]
		self.ids += 1

		param['id'] = '%06d' % (int(pix_id)) + '%08d' % (istars)
		# param['sed_type'] = istars
		# param['model_tag'] = ''
		param['teff'] = stars['teff'][istars]
		param['logg'] = stars['grav'][istars]
		param['feh'] = stars['z_met'][istars]
		param['stellarMass'] = stars['mass'][istars]

		param['av'] = stars['AV'][istars]
		param['DM'] = stars['DM'][istars]
		# param['z_met'] = stars['z_met'][istars]

		param['z'] = 0.0
		param['star'] = 1 # Star

		try:
		obj = Star(param, logger=self.logger)
		except Exception as e:
		print(e)

		# Append additional output columns to the .cat file
		obj.additional_output_str = self.add_fmt % (param["av"], param['stellarMass'], param['DM'], param['teff'], param['logg'], param['feh'],
		0., 0., 0., 0., 0., 0., 0., 0., 0., -1, 0.)

		self.objs.append(obj)

		def free_mem(self, **kward):
		self.starDDL.freeGlobeData()
		del self.starDDL

		def _load(self, **kwargs):
		self.objs = []
		self.ids = 0

		if "star_cat" in self.config["catalog_options"]["input_path"] and self.config["catalog_options"]["input_path"]["star_cat"] and not self.config["catalog_options"]["galaxy_only"]:
		star_cat = h5.File(self.star_path, 'r')['star_catalog']
		for pix in self.pix_list:
		try:
		stars = star_cat[str(pix)]
		self._load_stars(stars, pix_id=pix)
		del stars
		except Exception as e:
		self.logger.error(str(e))
		# print(e)

		if "galaxy_cat" in self.config["catalog_options"]["input_path"] and self.config["catalog_options"]["input_path"]["galaxy_cat"] and not self.config["catalog_options"]["star_only"]:
		for pix in self.pix_list:
		try:
		bundleID = get_bundleIndex(pix)
		bundle_file = "galaxies_C10_bundle{:06}.h5".format(bundleID)
		file_path = os.path.join(self.galaxy_path, bundle_file)
		gals_cat = h5.File(file_path, 'r')['galaxies']
		gals = gals_cat[str(pix)]

		# Get corresponding AGN SED file
		agnsed_file = get_agnsed_file(bundle_file, self.config)
		agnsed_path = os.path.join(self.AGN_SED_path, agnsed_file)
		self.agn_seds[agnsed_file] = fits.open(agnsed_path)[0].data
		self._load_gals(gals, pix_id=pix, cat_id=bundleID, agnsed_file=agnsed_file)
		del gals
		except Exception as e:
		traceback.print_exc()
		self.logger.error(str(e))
		print(e)

		if self.logger is not None:
		self.logger.info("maximum galaxy size: %.4f" % (self.max_size))
		self.logger.info("number of objects in catalog: %d" %
		(len(self.objs)))
		else:
		print("number of objects in catalog: ", len(self.objs))

		def load_sed(self, obj, **kwargs):
		if obj.type == 'star':
		# _, wave, flux = tag_sed(
		# h5file=self.tempSED_star,
		# model_tag=obj.param['model_tag'],
		# teff=obj.param['teff'],
		# logg=obj.param['logg'],
		# feh=obj.param['feh']
		# )
		wave, flux = self._interp_star_sed(obj)
		elif obj.type == 'galaxy' or obj.type == 'quasar':
		factor = 10*(-.4 self.cosmo.distmod(obj.z).value)
		if obj.type == 'galaxy':
		flux = np.matmul(self.pcs, obj.coeff) * factor
		# if np.any(flux < 0):
		# raise ValueError("Glaxy %s: negative SED fluxes"%obj.id)
		flux[flux < 0] = 0.
		sedcat = np.vstack((self.lamb_gal, flux)).T
		sed_data = getObservedSED(
		sedCat=sedcat,
		redshift=obj.z,
		av=obj.param["av"],
		redden=obj.param["redden"]
		)
		wave, flux = sed_data[0], sed_data[1]
		elif obj.type == 'quasar':
		flux = self.agn_seds[obj.agnsed_file][int(
		obj.qsoindex)] * 1e-17
		flux[flux < 0] = 0.
		wave = self.lamb_gal * (1.0 + obj.z)
		else:
		raise ValueError("Object type not known")
		speci = interpolate.interp1d(wave, flux, fill_value=0., bounds_error=False)
		lamb = np.arange(2000, 11001+0.5, 0.5)
		y = speci(lamb)

		# [TODO] Apply Milky Way extinction
		if obj.type != 'star' and ("enable_mw_ext_gal" in self.config["catalog_options"] and self.config["catalog_options"]["enable_mw_ext_gal"]):
		y = self.mw_ext.apply_extinction(y, Av=obj.mw_Av)

		# 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'))
		# if obj.type == 'quasar':
		# # integrate to get the magnitudes
		# sed_photon = np.array([sed['WAVELENGTH'], sed['FLUX']]).T
		# sed_photon = galsim.LookupTable(x=np.array(sed_photon[:, 0]), f=np.array(
		# sed_photon[:, 1]), interpolant='nearest')
		# sed_photon = galsim.SED(
		# sed_photon, wave_type='A', flux_type='1', fast=False)
		# interFlux = integrate_sed_bandpass(
		# sed=sed_photon, bandpass=self.filt.bandpass_full)
		# obj.param['mag_use_normal'] = getABMAG(
		# interFlux, self.filt.bandpass_full)
		# # mag = getABMAG(interFlux, self.filt.bandpass_full)
		# # print("mag diff = %.3f"%(mag - obj.param['mag_use_normal']))

		# integrate to get the magnitudes
		if obj.type == 'quasar' or obj.type == 'galaxy':
		sed_photon = np.array([sed['WAVELENGTH'], sed['FLUX']]).T
		sed_photon = galsim.LookupTable(x=np.array(sed_photon[:, 0]), f=np.array(
		sed_photon[:, 1]), interpolant='nearest')
		sed_photon = galsim.SED(
		sed_photon, wave_type='A', flux_type='1', fast=False)
		interFlux = integrate_sed_bandpass(
		sed=sed_photon, bandpass=self.filt.bandpass_full)
		obj.param['mag_use_normal'] = getABMAG(
		interFlux, self.filt.bandpass_full)
		# mag = getABMAG(interFlux, self.filt.bandpass_full)
		# print("mag diff = %.3f"%(mag - obj.param['mag_use_normal']))
		del wave
		del flux
		return sed