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import os
import galsim
import numpy as np
import astropy.constants as cons
from astropy import wcs
from astropy.table import Table
import astropy.io.fits as fitsio
from observation_sim.mock_objects._util import magToFlux, VC_A, convolveGaussXorders, convolveImg
from observation_sim.mock_objects._util import integrate_sed_bandpass, getNormFactorForSpecWithABMAG, getObservedSED, \
getABMAG
from observation_sim.mock_objects.SpecDisperser import SpecDisperser
from observation_sim.instruments.chip import chip_utils
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class MockObject(object):
def __init__(self, param, logger=None):
self.param = param
for key in self.param:
setattr(self, key, self.param[key])
if self.param["star"] == 0:
self.type = "galaxy"
elif self.param["star"] == 1:
self.type = "star"
elif self.param["star"] == 2:
self.type = "quasar"
# mock_stamp_START
elif self.param["star"] == 3:
self.type = "stamp"
# mock_stamp_END
# for calibration
elif self.param["star"] == 4:
self.type = "calib"
# END
self.sed = None
self.fd_shear = None
# Place holder for outputs
self.additional_output_str = ""
self.logger = logger
def getMagFilter(self, filt):
if filt.filter_type in ["GI", "GV", "GU"]:
return self.param["mag_use_normal"]
return self.param["mag_%s" % filt.filter_type.lower()]
def getFluxFilter(self, filt):
return self.param["flux_%s" % filt.filter_type.lower()]
def getNumPhotons(self, flux, tel, exptime=150.):
pupil_area = tel.pupil_area * (100.) ** 2 # m^2 to cm^2
return flux * pupil_area * exptime
def getElectronFluxFilt(self, filt, tel, exptime=150.):
# photonEnergy = filt.getPhotonE()
# flux = magToFlux(self.getMagFilter(filt))
# factor = 1.0e4 * flux/photonEnergy * VC_A * (1.0/filt.blue_limit - 1.0/filt.red_limit)
# return factor * filt.efficiency * tel.pupil_area * exptime
flux = self.getFluxFilter(filt)
return flux * tel.pupil_area * exptime
def getPosWorld(self, ra_offset=0., dec_offset=0.):
ra = self.param["ra"] + ra_offset
dec = self.param["dec"] + dec_offset
return galsim.CelestialCoord(ra=ra * galsim.degrees, dec=dec * galsim.degrees)
def getPosImg_Offset_WCS(self, img, fdmodel=None, chip=None, verbose=True, chip_wcs=None, img_header=None, ra_offset=0., dec_offset=0.):
self.posImg = img.wcs.toImage(self.getPosWorld(ra_offset, dec_offset))
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self.localWCS = img.wcs.local(self.posImg)
# Apply field distortion model
if (fdmodel is not None) and (chip is not None):
if verbose:
print("\n")
print("Before field distortion:\n")
print("x = %.2f, y = %.2f\n" %
(self.posImg.x, self.posImg.y), flush=True)
self.posImg, self.fd_shear = fdmodel.get_distorted(
chip=chip, pos_img=self.posImg)
if verbose:
print("After field distortion:\n")
print("x = %.2f, y = %.2f\n" %
(self.posImg.x, self.posImg.y), flush=True)
x, y = self.posImg.x + 0.5, self.posImg.y + 0.5
self.x_nominal = int(np.floor(x + 0.5))
self.y_nominal = int(np.floor(y + 0.5))
dx = x - self.x_nominal
dy = y - self.y_nominal
self.offset = galsim.PositionD(dx, dy)
# Deal with chip rotation
if chip_wcs is not None:
self.chip_wcs = chip_wcs
elif img_header is not None:
self.chip_wcs = galsim.FitsWCS(header=img_header)
else:
self.chip_wcs = None
return self.posImg, self.offset, self.localWCS, self.chip_wcs, self.fd_shear
def getRealPos(self, img, global_x=0., global_y=0., img_real_wcs=None):
img_global_pos = galsim.PositionD(global_x, global_y)
cel_pos = img.wcs.toWorld(img_global_pos)
realPos = img_real_wcs.toImage(cel_pos)
return realPos
def drawObj_multiband(self, tel, pos_img, psf_model, bandpass_list, filt, chip, nphotons_tot=None, g1=0, g2=0,
exptime=150., fd_shear=None):
if nphotons_tot == None:
nphotons_tot = self.getElectronFluxFilt(filt, tel, exptime)
# print("nphotons_tot = ", nphotons_tot)
try:
full = integrate_sed_bandpass(
sed=self.sed, bandpass=filt.bandpass_full)
except Exception as e:
print(e)
if self.logger:
self.logger.error(e)
return 2, None
# Set Galsim Parameters
if self.getMagFilter(filt) <= 15:
folding_threshold = 5.e-4
else:
folding_threshold = 5.e-3
gsp = galsim.GSParams(folding_threshold=folding_threshold)
# Get real image position of object (deal with chip rotation w.r.t its center)
self.real_pos = self.getRealPos(chip.img, global_x=self.posImg.x, global_y=self.posImg.y,
img_real_wcs=self.chip_wcs)
x, y = self.real_pos.x + 0.5, self.real_pos.y + 0.5
x_nominal = int(np.floor(x + 0.5))
y_nominal = int(np.floor(y + 0.5))
dx = x - x_nominal
dy = y - y_nominal
offset = galsim.PositionD(dx, dy)
# Get real local wcs of object (deal with chip rotation w.r.t its center)
chip_wcs_local = self.chip_wcs.local(self.real_pos)
is_updated = 0
# Loop over all sub-bandpasses
for i in range(len(bandpass_list)):
bandpass = bandpass_list[i]
try:
sub = integrate_sed_bandpass(sed=self.sed, bandpass=bandpass)
except Exception as e:
print(e)
if self.logger:
self.logger.error(e)
continue
ratio = sub / full
if not (ratio == -1 or (ratio != ratio)):
nphotons = ratio * nphotons_tot
else:
continue
# nphotons_sum += nphotons
# print("nphotons_sub-band_%d = %.2f"%(i, nphotons))
# Get PSF model
psf, pos_shear = psf_model.get_PSF(chip=chip, pos_img=pos_img, bandpass=bandpass,
folding_threshold=folding_threshold)
# star = galsim.DeltaFunction(gsparams=gsp)
# star = star.withFlux(nphotons)
# star = galsim.Convolve(psf, star)
star = psf.withFlux(nphotons)
stamp = star.drawImage(wcs=chip_wcs_local, offset=offset)
if np.sum(np.isnan(stamp.array)) > 0:
continue
stamp.setCenter(x_nominal, y_nominal)
bounds = stamp.bounds & galsim.BoundsI(
0, chip.npix_x - 1, 0, chip.npix_y - 1)
if bounds.area() > 0:
chip.img.setOrigin(0, 0)
chip.img[bounds] += stamp[bounds]
is_updated = 1
chip.img.setOrigin(chip.bound.xmin, chip.bound.ymin)
del stamp
if is_updated == 0:
# Return code 0: object has missed this detector
print("obj %s missed" % (self.id))
if self.logger:
self.logger.info("obj %s missed" % (self.id))
return 0, pos_shear
return 1, pos_shear # Return code 1: draw sucesss
def addSLStoChipImage(self, sdp=None, chip=None, xOrderSigPlus=None, local_wcs=None):
spec_orders = sdp.compute_spec_orders()
for k, v in spec_orders.items():
img_s = v[0]
#########################################################
# DEBUG
#########################################################
# print("before convolveGaussXorders, img_s:", img_s)
# nan_ids = np.isnan(img_s)
# if img_s[nan_ids].shape[0] > 0:
# # img_s[nan_ids] = 0
# print("DEBUG: before convolveGaussXorders specImg nan num is",
# img_s[nan_ids].shape[0])
#########################################################
# img_s, orig_off = convolveGaussXorders(img_s, xOrderSigPlus[k])
orig_off = 0
origin_order_x = v[1] - orig_off
origin_order_y = v[2] - orig_off
#########################################################
# DEBUG
#########################################################
# print("DEBUG: orig_off is", orig_off)
# nan_ids = np.isnan(img_s)
# if img_s[nan_ids].shape[0] > 0:
# img_s[nan_ids] = 0
# print("DEBUG: specImg nan num is", img_s[nan_ids].shape[0])
#########################################################
stamp = galsim.ImageF(img_s)
stamp.wcs = local_wcs
stamp.setOrigin(origin_order_x, origin_order_y)
bounds = stamp.bounds & galsim.BoundsI(
0, chip.npix_x - 1, 0, chip.npix_y - 1)
if bounds.area() == 0:
continue
chip.img.setOrigin(0, 0)
chip.img[bounds] = chip.img[bounds]+stamp[bounds]
chip.img.setOrigin(chip.bound.xmin, chip.bound.ymin)
del stamp
del spec_orders
def addSLStoChipImageWithPSF(self, sdp=None, chip=None, pos_img_local=[1, 1], psf_model=None, bandNo=1, grating_split_pos=3685, local_wcs=None, pos_img=None):
spec_orders = sdp.compute_spec_orders()
pos_shear = galsim.Shear(e=0., beta=(np.pi/2)*galsim.radians)
if chip.slsPSFOptim:
for k, v in spec_orders.items():
img_s = v[0]
nan_ids = np.isnan(img_s)
if img_s[nan_ids].shape[0] > 0:
img_s[nan_ids] = 0
print("DEBUG: specImg nan num is", img_s[nan_ids].shape[0])
#########################################################
# img_s, orig_off = convolveImg(img_s, psf_img_m)
origin_order_x = v[1] - orig_off[0]
origin_order_y = v[2] - orig_off[1]
specImg = galsim.ImageF(img_s)
specImg.wcs = local_wcs
specImg.setOrigin(origin_order_x, origin_order_y)
bounds = specImg.bounds & galsim.BoundsI(
0, chip.npix_x - 1, 0, chip.npix_y - 1)
if bounds.area() == 0:
continue
# orders = {'A': 'order1', 'B': 'order0', 'C': 'order2', 'D': 'order-1', 'E': 'order-2'}
orders = {'A': 'order1', 'B': 'order0',
'C': 'order0', 'D': 'order0', 'E': 'order0'}
gratingN = chip_utils.getChipSLSGratingID(chip.chipID)[1]
if pos_img_local[0] < grating_split_pos:
gratingN = chip_utils.getChipSLSGratingID(chip.chipID)[0]
chip.img_stack[gratingN][orders[k]
]['w' + str(bandNo)].setOrigin(0, 0)
chip.img_stack[gratingN][orders[k]]['w' + str(
bandNo)][bounds] = chip.img_stack[gratingN][orders[k]]['w' + str(bandNo)][bounds] + specImg[bounds]
chip.img_stack[gratingN][orders[k]]['w' +
str(bandNo)].setOrigin(chip.bound.xmin, chip.bound.ymin)
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else:
for k, v in spec_orders.items():
# img_s = v[0]
# # print(bandNo,k)
# try:
# psf, pos_shear = psf_model.get_PSF(
# chip, pos_img_local=pos_img_local, bandNo=bandNo, galsimGSObject=True, g_order=k, grating_split_pos=grating_split_pos)
# except:
# psf, pos_shear = psf_model.get_PSF(chip=chip, pos_img=pos_img)
# psf_img = psf.drawImage(nx=100, ny=100, wcs=local_wcs)
# psf_img_m = psf_img.array
# #########################################################
# # DEBUG
# #########################################################
# # ids_p = psf_img_m < 0
# # psf_img_m[ids_p] = 0
# # from astropy.io import fits
# # fits.writeto(str(bandNo) + '_' + str(k) + '_psf.fits', psf_img_m)
# # print("DEBUG: orig_off is", orig_off)
# nan_ids = np.isnan(img_s)
# if img_s[nan_ids].shape[0] > 0:
# img_s[nan_ids] = 0
# print("DEBUG: specImg nan num is", img_s[nan_ids].shape[0])
# #########################################################
# img_s, orig_off = convolveImg(img_s, psf_img_m)
# origin_order_x = v[1] - orig_off[0]
# origin_order_y = v[2] - orig_off[1]
# specImg = galsim.ImageF(img_s)
# # photons = galsim.PhotonArray.makeFromImage(specImg)
# # photons.x += origin_order_x
# # photons.y += origin_order_y
# # xlen_imf = int(specImg.xmax - specImg.xmin + 1)
# # ylen_imf = int(specImg.ymax - specImg.ymin + 1)
# # stamp = galsim.ImageF(xlen_imf, ylen_imf)
# # stamp.wcs = local_wcs
# # stamp.setOrigin(origin_order_x, origin_order_y)
# specImg.wcs = local_wcs
# specImg.setOrigin(origin_order_x, origin_order_y)
# print('DEBUG: BEGIN -----------',bandNo,k)
nan_ids = np.isnan(img_s)
if img_s[nan_ids].shape[0] > 0:
img_s[nan_ids] = 0
print("DEBUG: specImg nan num is", img_s[nan_ids].shape[0])
#########################################################
origin_order_x = v[1]
origin_order_y = v[2]
specImg = galsim.ImageF(img_s)
specImg.wcs = local_wcs
specImg.setOrigin(origin_order_x, origin_order_y)
try:
specImg = psf_model.get_PSF_AND_convolve_withsubImg(
chip, cutImg=specImg, pos_img_local=pos_img_local, bandNo=bandNo, g_order=k, grating_split_pos=grating_split_pos)
psf_img = psf.drawImage(nx=100, ny=100, wcs=local_wcs)
psf_img_m = psf_img.array
img_s, orig_off = convolveImg(img_s, psf_img_m)
origin_order_x = v[1] - orig_off[0]
origin_order_y = v[2] - orig_off[1]
specImg = galsim.ImageF(img_s)
specImg.wcs = local_wcs
specImg.setOrigin(origin_order_x, origin_order_y)
bounds = specImg.bounds & galsim.BoundsI(
0, chip.npix_x - 1, 0, chip.npix_y - 1)
if bounds.area() == 0:
continue
chip.img.setOrigin(0, 0)
chip.img[bounds] = chip.img[bounds] + specImg[bounds]
# stamp[bounds] = chip.img[bounds]
# # chip.sensor.accumulate(photons, stamp)
# chip.img[bounds] = stamp[bounds]
chip.img.setOrigin(chip.bound.xmin, chip.bound.ymin)
# del stamp
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del spec_orders
return pos_shear
def drawObj_slitless(self, tel, pos_img, psf_model, bandpass_list, filt, chip, nphotons_tot=None, g1=0, g2=0,
exptime=150., normFilter=None, grating_split_pos=3685, fd_shear=None):
if normFilter is not None:
norm_thr_rang_ids = normFilter['SENSITIVITY'] > 0.001
sedNormFactor = getNormFactorForSpecWithABMAG(ABMag=self.param['mag_use_normal'], spectrum=self.sed,
norm_thr=normFilter,
sWave=np.floor(
normFilter[norm_thr_rang_ids][0][0]),
eWave=np.ceil(normFilter[norm_thr_rang_ids][-1][0]))
if sedNormFactor == 0:
return 2, None
else:
sedNormFactor = 1.
if self.getMagFilter(filt) <= 15:
folding_threshold = 5.e-4
else:
folding_threshold = 5.e-3
gsp = galsim.GSParams(folding_threshold=folding_threshold)
normalSED = Table(np.array([self.sed['WAVELENGTH'], self.sed['FLUX'] * sedNormFactor]).T,
names=('WAVELENGTH', 'FLUX'))
self.real_pos = self.getRealPos(chip.img, global_x=self.posImg.x, global_y=self.posImg.y,
img_real_wcs=self.chip_wcs)
x, y = self.real_pos.x + 0.5, self.real_pos.y + 0.5
x_nominal = int(np.floor(x + 0.5))
y_nominal = int(np.floor(y + 0.5))
dx = x - x_nominal
dy = y - y_nominal
offset = galsim.PositionD(dx, dy)
chip_wcs_local = self.chip_wcs.local(self.real_pos)
flat_cube = chip.flat_cube
xOrderSigPlus = {'A': 1.3909419820029296, 'B': 1.4760376591236062, 'C': 4.035447379743442,
'D': 5.5684364343742825, 'E': 16.260021029735388}
grating_split_pos_chip = 0 + grating_split_pos
branges = np.zeros([len(bandpass_list), 2])
if hasattr(psf_model, 'bandranges'):
if psf_model.bandranges is None:
return 2, None
if len(psf_model.bandranges) != len(bandpass_list):
return 2, None
branges = psf_model.bandranges
else:
for i in range(len(bandpass_list)):
branges[i, 0] = bandpass_list[i].blue_limit * 10
branges[i, 1] = bandpass_list[i].red_limit * 10
for i in range(len(bandpass_list)):
# bandpass = bandpass_list[i]
brange = branges[i]
# psf, pos_shear = psf_model.get_PSF(chip=chip, pos_img=pos_img, bandpass=bandpass,
# folding_threshold=folding_threshold)
# star = galsim.DeltaFunction(gsparams=gsp)
# star = star.withFlux(tel.pupil_area * exptime)
starImg_List = []
try:
x_start = chip.x_cen/chip.pix_size - chip.npix_x / 2.
y_start = chip.y_cen/chip.pix_size - chip.npix_y / 2.
pos_img_local[0] = pos_img.x - x_start
pos_img_local[1] = pos_img.y - y_start
nnx = 0
nny = 0
psf, pos_shear = psf_model.get_PSF(
chip, pos_img_local=pos_img_local, bandNo=i+1, galsimGSObject=True, g_order=order, grating_split_pos=grating_split_pos)
# star_p = galsim.Convolve(psf, star)
nnx = starImg.xmax - starImg.xmin + 1
nny = starImg.ymax - starImg.ymin + 1
else:
starImg = star_p.drawImage(
nx=nnx, ny=nny, wcs=chip_wcs_local, offset=offset)
# n1 = np.sum(np.isinf(starImg.array))
# n2 = np.sum(np.isnan(starImg.array))
# if n1>0 or n2 > 0:
# print("DEBUG: MockObject, inf:%d, nan:%d"%(n1, n2))
starImg.setOrigin(0, 0)
starImg_List.append(starImg)
starImg_List.append(starImg)
except:
psf, pos_shear = psf_model.get_PSF(chip=chip, pos_img=pos_img)
# star_p = galsim.Convolve(psf, star)
starImg = star_p.drawImage(wcs=chip_wcs_local, offset=offset)
starImg.setOrigin(0, 0)
starImg_List.append(starImg)
# psf_tmp = galsim.Gaussian(sigma=0.002)
# star = galsim.Convolve(psf_tmp, star)
# starImg = star.drawImage(
# nx=60, ny=60, wcs=chip_wcs_local, offset=offset)
origin_star = [y_nominal - (starImg.center.y - starImg.ymin),
x_nominal - (starImg.center.x - starImg.xmin)]
gal_origin = [origin_star[0], origin_star[1]]
gal_end = [origin_star[0] + starImg.array.shape[0] -
1, origin_star[1] + starImg.array.shape[1] - 1]
if gal_origin[1] < grating_split_pos_chip < gal_end[1]:
subSlitPos = int(grating_split_pos_chip - gal_origin[1])
for starImg in starImg_List:
subImg_p1 = starImg.array[:, 0:subSlitPos]
star_p1 = galsim.Image(subImg_p1)
star_p1.setOrigin(0, 0)
star_p1s.append(star_p1)
origin_p1 = origin_star
xcenter_p1 = min(x_nominal, grating_split_pos_chip - 1) - 0
ycenter_p1 = y_nominal - 0
sdp_p1 = SpecDisperser(orig_img=star_p1s, xcenter=xcenter_p1,
ycenter=ycenter_p1, origin=origin_p1,
tar_spec=normalSED,
band_start=brange[0], band_end=brange[1],
conf=chip.sls_conf[0],
isAlongY=0,
flat_cube=flat_cube)
self.addSLStoChipImage(
sdp=sdp_p1, chip=chip, xOrderSigPlus=xOrderSigPlus, local_wcs=chip_wcs_local)
# pos_shear = self.addSLStoChipImageWithPSF(sdp=sdp_p1, chip=chip, pos_img_local=[xcenter_p1, ycenter_p1],
# psf_model=psf_model, bandNo=i+1, grating_split_pos=grating_split_pos,
# local_wcs=chip_wcs_local, pos_img=pos_img)
for starImg in starImg_List:
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committed
subImg_p2 = starImg.array[:,
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committed
star_p2 = galsim.Image(subImg_p2)
star_p2.setOrigin(0, 0)
star_p2s.append(star_p2)
xcenter_p2 = max(x_nominal, grating_split_pos_chip) - 0
sdp_p2 = SpecDisperser(orig_img=star_p2s, xcenter=xcenter_p2,
ycenter=ycenter_p2, origin=origin_p2,
tar_spec=normalSED,
band_start=brange[0], band_end=brange[1],
conf=chip.sls_conf[1],
isAlongY=0,
flat_cube=flat_cube)
self.addSLStoChipImage(
sdp=sdp_p2, chip=chip, xOrderSigPlus=xOrderSigPlus, local_wcs=chip_wcs_local)
# pos_shear = self.addSLStoChipImageWithPSF(sdp=sdp_p2, chip=chip, pos_img_local=[xcenter_p2, ycenter_p2],
# psf_model=psf_model, bandNo=i + 1, grating_split_pos=grating_split_pos,
# local_wcs=chip_wcs_local, pos_img=pos_img)
del sdp_p1
del sdp_p2
elif grating_split_pos_chip <= gal_origin[1]:
sdp = SpecDisperser(orig_img=starImg_List, xcenter=x_nominal - 0,
ycenter=y_nominal - 0, origin=origin_star,
tar_spec=normalSED,
band_start=brange[0], band_end=brange[1],
conf=chip.sls_conf[1],
isAlongY=0,
flat_cube=flat_cube)
self.addSLStoChipImage(
sdp=sdp, chip=chip, xOrderSigPlus=xOrderSigPlus, local_wcs=chip_wcs_local)
# pos_shear = self.addSLStoChipImageWithPSF(sdp=sdp, chip=chip, pos_img_local=[x_nominal, y_nominal],
# psf_model=psf_model, bandNo=i + 1, grating_split_pos=grating_split_pos,
# local_wcs=chip_wcs_local, pos_img=pos_img)
sdp = SpecDisperser(orig_img=starImg_List, xcenter=x_nominal - 0,
ycenter=y_nominal - 0, origin=origin_star,
tar_spec=normalSED,
band_start=brange[0], band_end=brange[1],
conf=chip.sls_conf[0],
isAlongY=0,
flat_cube=flat_cube)
self.addSLStoChipImage(
sdp=sdp, chip=chip, xOrderSigPlus=xOrderSigPlus, local_wcs=chip_wcs_local)
# pos_shear = self.addSLStoChipImageWithPSF(sdp=sdp, chip=chip, pos_img_local=[x_nominal, y_nominal],
# psf_model=psf_model, bandNo=i + 1, grating_split_pos=grating_split_pos,
# local_wcs=chip_wcs_local, pos_img=pos_img)
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del sdp
# del psf
return 1, pos_shear
def SNRestimate(self, img_obj, flux, noise_level=0.0, seed=31415):
img_flux = img_obj.added_flux
stamp = img_obj.copy() * 0.0
rng = galsim.BaseDeviate(seed)
gaussianNoise = galsim.GaussianNoise(rng, sigma=noise_level)
stamp.addNoise(gaussianNoise)
sig_obj = np.std(stamp.array)
snr_obj = img_flux / sig_obj
return snr_obj
def drawObj_PSF(self, tel, pos_img, psf_model, bandpass_list, filt, chip, nphotons_tot=None, g1=0, g2=0,
exptime=150., fd_shear=None, chip_output=None):
if nphotons_tot == None:
nphotons_tot = self.getElectronFluxFilt(filt, tel, exptime)
# print("nphotons_tot = ", nphotons_tot)
try:
full = integrate_sed_bandpass(
sed=self.sed, bandpass=filt.bandpass_full)
except Exception as e:
print(e)
if self.logger:
self.logger.error(e)
return 2, None
# Set Galsim Parameters
if self.getMagFilter(filt) <= 15:
folding_threshold = 5.e-4
else:
folding_threshold = 5.e-3
gsp = galsim.GSParams(folding_threshold=folding_threshold)
# Get real image position of object (deal with chip rotation w.r.t its center)
self.real_pos = self.getRealPos(chip.img, global_x=self.posImg.x, global_y=self.posImg.y,
img_real_wcs=self.chip_wcs)
x, y = self.real_pos.x + 0.5, self.real_pos.y + 0.5
x_nominal = int(np.floor(x + 0.5))
y_nominal = int(np.floor(y + 0.5))
dx = x - x_nominal
dy = y - y_nominal
offset = galsim.PositionD(dx, dy)
# Get real local wcs of object (deal with chip rotation w.r.t its center)
chip_wcs_local = self.chip_wcs.local(self.real_pos)
is_updated = 0
# Loop over all sub-bandpasses
for i in range(len(bandpass_list)):
bandpass = bandpass_list[i]
try:
sub = integrate_sed_bandpass(sed=self.sed, bandpass=bandpass)
except Exception as e:
print(e)
if self.logger:
self.logger.error(e)
continue
ratio = sub / full
if not (ratio == -1 or (ratio != ratio)):
nphotons = ratio * nphotons_tot
else:
continue
# Get PSF model
psf, pos_shear = psf_model.get_PSF(chip=chip, pos_img=pos_img, bandpass=bandpass,
folding_threshold=folding_threshold)
star_temp = psf.withFlux(nphotons)
if i == 0:
star = star_temp
else:
star = star+star_temp
pixelScale = 0.074
stamp = star.drawImage(wcs=chip_wcs_local, offset=offset)
# stamp = star.drawImage(nx=256, ny=256, scale=pixelScale)
if np.sum(np.isnan(stamp.array)) > 0:
return None
fn = chip_output.subdir + "/psfIDW"
os.makedirs(fn, exist_ok=True)
fn = fn + "/ccd_{:}".format(chip.chipID) + \
"_psf_"+str(self.param['id'])+".fits"
if fn != None:
if os.path.exists(fn):
os.remove(fn)
hdu = fitsio.PrimaryHDU()
hdu.data = stamp.array
hdu.header.set('name', self.type)
hdu.header.set('pixScale', pixelScale)
hdu.header.set('objID', self.param['id'])
hdu.writeto(fn)
del stamp
return None