added C10_Catalog.py

catalog/C10_Catalog.py

+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 _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