import galsim import numpy as np import astropy.constants as cons from astropy import wcs from astropy.table import Table from ObservationSim.MockObject._util import magToFlux, VC_A, convolveGaussXorders, convolveImg from ObservationSim.MockObject._util import integrate_sed_bandpass, getNormFactorForSpecWithABMAG, getObservedSED, \ getABMAG from ObservationSim.MockObject.SpecDisperser import SpecDisperser 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 = self.param["ra"] dec = self.param["dec"] 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): self.posImg = img.wcs.toImage(self.getPosWorld()) 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]) 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]) ######################################################### 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) 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) 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 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() 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) 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 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) 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)] starImg.setOrigin(0,0) 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] + 1) ## part img disperse subImg_p1 = starImg.array[:, 0:subSlitPos] star_p1 = galsim.Image(subImg_p1) origin_p1 = origin_star star_p1.setOrigin(0,0) xcenter_p1 = min(x_nominal, grating_split_pos_chip - 1) - 0 ycenter_p1 = y_nominal - 0 sdp_p1 = SpecDisperser(orig_img=star_p1, 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) subImg_p2 = starImg.array[:, subSlitPos + 1:starImg.array.shape[1]] star_p2 = galsim.Image(subImg_p2) star_p2.setOrigin(0, 0) origin_p2 = [origin_star[0], grating_split_pos_chip] xcenter_p2 = max(x_nominal, grating_split_pos_chip - 1) - 0 ycenter_p2 = y_nominal - 0 sdp_p2 = SpecDisperser(orig_img=star_p2, 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, 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) del sdp elif grating_split_pos_chip >= gal_end[1]: sdp = SpecDisperser(orig_img=starImg, 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) 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