Loading observation_sim/ObservationSim.py +29 −6 Original line number Diff line number Diff line Loading @@ -23,7 +23,7 @@ class Observation(object): self.filter_param = FilterParam() self.Catalog = Catalog def prepare_chip_for_exposure(self, chip, ra_cen, dec_cen, pointing, wcs_fp=None): def prepare_chip_for_exposure(self, chip, ra_cen, dec_cen, pointing, wcs_fp=None, slsPSFOptim=False): # Get WCS for the focal plane if wcs_fp == None: wcs_fp = self.focal_plane.getTanWCS( Loading @@ -34,6 +34,27 @@ class Observation(object): chip.img.setOrigin(chip.bound.xmin, chip.bound.ymin) chip.img.wcs = wcs_fp chip.slsPSFOptim = slsPSFOptim if chip.chipID in [1, 2, 3, 4, 5, 10, 21, 26, 27, 28, 29, 30] and slsPSFOptim: chip.img_stack = {} for id1 in np.arange(2): gn = chip_utils.getChipSLSGratingID(chip.chipID)[id1] orders = {} # for id2 in ['-2','-1','0','1','2']: for id2 in ['0', '1']: o_n = "order"+id2 allbands = {} for id3 in ['1', '2', '3', '4']: w_n = "w"+id3 allbands[w_n] = galsim.ImageF(chip.npix_x, chip.npix_y) allbands[w_n].setOrigin( chip.bound.xmin, chip.bound.ymin) allbands[w_n].wcs = wcs_fp orders[o_n] = allbands chip.img_stack[gn] = orders else: chip.img_stack = {} # Get random generators for this chip chip.rng_poisson, chip.poisson_noise = chip_utils.get_poisson( seed=int(self.config["random_seeds"]["seed_poisson"]) + pointing.id*30 + chip.chipID, sky_level=0.) Loading Loading @@ -91,15 +112,17 @@ class Observation(object): input_date_str=date_str, input_time_str=time_str ) ra_cen, dec_cen = ra_cen[0], dec_cen[0] ra_offset, dec_offset = pointing.ra - ra_cen, pointing.dec - dec_cen ra_offset, dec_offset = pointing.ra - \ ra_cen[0], pointing.dec - dec_cen[0] else: ra_offset, dec_offset = 0., 0. ra_cen = pointing.ra dec_cen = pointing.dec ra_offset, dec_offset = 0., 0. slsPSFOpt = False # Prepare necessary chip properties for simulation chip = self.prepare_chip_for_exposure(chip, ra_cen, dec_cen, pointing) chip = self.prepare_chip_for_exposure( chip, ra_cen, dec_cen, pointing, slsPSFOptim=slsPSFOpt) # Initialize SimSteps sim_steps = SimSteps(overall_config=self.config, Loading observation_sim/config/ChipOutput.py +2 −2 Original line number Diff line number Diff line Loading @@ -78,12 +78,12 @@ class ChipOutput(object): self.hdr += "\n" self.cat.write(self.hdr) def cat_add_obj(self, obj, pos_img, pos_shear): def cat_add_obj(self, obj, pos_img, pos_shear, ra_offset=0., dec_offset=0.): ximg = obj.real_pos.x + 1.0 yimg = obj.real_pos.y + 1.0 line = self.fmt % ( obj.id, int(self.chip_label), self.filt.filter_type, ximg, yimg, obj.ra, obj.dec, obj.ra_orig, obj.dec_orig, obj.z, obj.getMagFilter( obj.id, int(self.chip_label), self.filt.filter_type, ximg, yimg, obj.ra + ra_offset, obj.dec + dec_offset, obj.ra_orig, obj.dec_orig, obj.z, obj.getMagFilter( self.filt), obj.type, obj.pmra, obj.pmdec, obj.rv, obj.parallax) line += obj.additional_output_str Loading observation_sim/mock_objects/Galaxy.py +88 −39 Original line number Diff line number Diff line Loading @@ -323,28 +323,73 @@ class Galaxy(MockObject): # # if fd_shear is not None: # # gal = gal.shear(fd_shear) starImg = gal.drawImage( wcs=chip_wcs_local, offset=offset, method='real_space') galImg_List = [] try: pos_img_local = [0,0] 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 for order in ["A","B"]: 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, gal) if nnx == 0: galImg = star_p.drawImage(wcs=chip_wcs_local, offset=offset) nnx = galImg.xmax - galImg.xmin + 1 nny = galImg.ymax - galImg.ymin + 1 else: galImg = star_p.drawImage(nx = nnx, ny = nny, wcs=chip_wcs_local, offset=offset) galImg.setOrigin(0, 0) # n1 = np.sum(np.isinf(galImg.array)) # n2 = np.sum(np.isnan(galImg.array)) # if n1>0 or n2 > 0: # print("DEBUG: Galaxy, inf:%d, nan:%d"%(n1, n2)) if np.sum(np.isnan(galImg.array)) > 0: # ERROR happens return 2, pos_shear galImg_List.append(galImg) for order in ["C","D","E"]: galImg_List.append(galImg) except: psf, pos_shear = psf_model.get_PSF(chip=chip, pos_img=pos_img) star_p = galsim.Convolve(psf, gal) galImg = star_p.drawImage(wcs=chip_wcs_local, offset=offset) galImg.setOrigin(0, 0) if np.sum(np.isnan(galImg.array)) > 0: # ERROR happens return 2, pos_shear for order in ["A","B","C","D","E"]: galImg_List.append(galImg) # starImg = gal.drawImage( # wcs=chip_wcs_local, offset=offset, method='real_space') origin_star = [y_nominal - (starImg.center.y - starImg.ymin), x_nominal - (starImg.center.x - starImg.xmin)] starImg.setOrigin(0, 0) origin_star = [y_nominal - (galImg.center.y - galImg.ymin), x_nominal - (galImg.center.x - galImg.xmin)] galImg.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] gal_end = [origin_star[0] + galImg.array.shape[0] - 1, origin_star[1] + galImg.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_p1s=[] for galImg in galImg_List: subImg_p1 = galImg.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_p1, xcenter=xcenter_p1, 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], Loading @@ -352,21 +397,25 @@ class Galaxy(MockObject): 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) 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) star_p2s=[] for galImg in galImg_List: subImg_p2 = starImg.array[:, subSlitPos+1:starImg.array.shape[1]] subImg_p2 = galImg.array[:, subSlitPos + 1:galImg.array.shape[1]] star_p2 = galsim.Image(subImg_p2) star_p2.setOrigin(0, 0) star_p2s.append(star_p2) 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, 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], Loading @@ -374,41 +423,41 @@ class Galaxy(MockObject): 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) 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, sdp = SpecDisperser(orig_img=galImg_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) 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, sdp = SpecDisperser(orig_img=galImg_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) 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 # print(self.y_nominal, starImg.center.y, starImg.ymin) Loading Loading
observation_sim/ObservationSim.py +29 −6 Original line number Diff line number Diff line Loading @@ -23,7 +23,7 @@ class Observation(object): self.filter_param = FilterParam() self.Catalog = Catalog def prepare_chip_for_exposure(self, chip, ra_cen, dec_cen, pointing, wcs_fp=None): def prepare_chip_for_exposure(self, chip, ra_cen, dec_cen, pointing, wcs_fp=None, slsPSFOptim=False): # Get WCS for the focal plane if wcs_fp == None: wcs_fp = self.focal_plane.getTanWCS( Loading @@ -34,6 +34,27 @@ class Observation(object): chip.img.setOrigin(chip.bound.xmin, chip.bound.ymin) chip.img.wcs = wcs_fp chip.slsPSFOptim = slsPSFOptim if chip.chipID in [1, 2, 3, 4, 5, 10, 21, 26, 27, 28, 29, 30] and slsPSFOptim: chip.img_stack = {} for id1 in np.arange(2): gn = chip_utils.getChipSLSGratingID(chip.chipID)[id1] orders = {} # for id2 in ['-2','-1','0','1','2']: for id2 in ['0', '1']: o_n = "order"+id2 allbands = {} for id3 in ['1', '2', '3', '4']: w_n = "w"+id3 allbands[w_n] = galsim.ImageF(chip.npix_x, chip.npix_y) allbands[w_n].setOrigin( chip.bound.xmin, chip.bound.ymin) allbands[w_n].wcs = wcs_fp orders[o_n] = allbands chip.img_stack[gn] = orders else: chip.img_stack = {} # Get random generators for this chip chip.rng_poisson, chip.poisson_noise = chip_utils.get_poisson( seed=int(self.config["random_seeds"]["seed_poisson"]) + pointing.id*30 + chip.chipID, sky_level=0.) Loading Loading @@ -91,15 +112,17 @@ class Observation(object): input_date_str=date_str, input_time_str=time_str ) ra_cen, dec_cen = ra_cen[0], dec_cen[0] ra_offset, dec_offset = pointing.ra - ra_cen, pointing.dec - dec_cen ra_offset, dec_offset = pointing.ra - \ ra_cen[0], pointing.dec - dec_cen[0] else: ra_offset, dec_offset = 0., 0. ra_cen = pointing.ra dec_cen = pointing.dec ra_offset, dec_offset = 0., 0. slsPSFOpt = False # Prepare necessary chip properties for simulation chip = self.prepare_chip_for_exposure(chip, ra_cen, dec_cen, pointing) chip = self.prepare_chip_for_exposure( chip, ra_cen, dec_cen, pointing, slsPSFOptim=slsPSFOpt) # Initialize SimSteps sim_steps = SimSteps(overall_config=self.config, Loading
observation_sim/config/ChipOutput.py +2 −2 Original line number Diff line number Diff line Loading @@ -78,12 +78,12 @@ class ChipOutput(object): self.hdr += "\n" self.cat.write(self.hdr) def cat_add_obj(self, obj, pos_img, pos_shear): def cat_add_obj(self, obj, pos_img, pos_shear, ra_offset=0., dec_offset=0.): ximg = obj.real_pos.x + 1.0 yimg = obj.real_pos.y + 1.0 line = self.fmt % ( obj.id, int(self.chip_label), self.filt.filter_type, ximg, yimg, obj.ra, obj.dec, obj.ra_orig, obj.dec_orig, obj.z, obj.getMagFilter( obj.id, int(self.chip_label), self.filt.filter_type, ximg, yimg, obj.ra + ra_offset, obj.dec + dec_offset, obj.ra_orig, obj.dec_orig, obj.z, obj.getMagFilter( self.filt), obj.type, obj.pmra, obj.pmdec, obj.rv, obj.parallax) line += obj.additional_output_str Loading
observation_sim/mock_objects/Galaxy.py +88 −39 Original line number Diff line number Diff line Loading @@ -323,28 +323,73 @@ class Galaxy(MockObject): # # if fd_shear is not None: # # gal = gal.shear(fd_shear) starImg = gal.drawImage( wcs=chip_wcs_local, offset=offset, method='real_space') galImg_List = [] try: pos_img_local = [0,0] 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 for order in ["A","B"]: 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, gal) if nnx == 0: galImg = star_p.drawImage(wcs=chip_wcs_local, offset=offset) nnx = galImg.xmax - galImg.xmin + 1 nny = galImg.ymax - galImg.ymin + 1 else: galImg = star_p.drawImage(nx = nnx, ny = nny, wcs=chip_wcs_local, offset=offset) galImg.setOrigin(0, 0) # n1 = np.sum(np.isinf(galImg.array)) # n2 = np.sum(np.isnan(galImg.array)) # if n1>0 or n2 > 0: # print("DEBUG: Galaxy, inf:%d, nan:%d"%(n1, n2)) if np.sum(np.isnan(galImg.array)) > 0: # ERROR happens return 2, pos_shear galImg_List.append(galImg) for order in ["C","D","E"]: galImg_List.append(galImg) except: psf, pos_shear = psf_model.get_PSF(chip=chip, pos_img=pos_img) star_p = galsim.Convolve(psf, gal) galImg = star_p.drawImage(wcs=chip_wcs_local, offset=offset) galImg.setOrigin(0, 0) if np.sum(np.isnan(galImg.array)) > 0: # ERROR happens return 2, pos_shear for order in ["A","B","C","D","E"]: galImg_List.append(galImg) # starImg = gal.drawImage( # wcs=chip_wcs_local, offset=offset, method='real_space') origin_star = [y_nominal - (starImg.center.y - starImg.ymin), x_nominal - (starImg.center.x - starImg.xmin)] starImg.setOrigin(0, 0) origin_star = [y_nominal - (galImg.center.y - galImg.ymin), x_nominal - (galImg.center.x - galImg.xmin)] galImg.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] gal_end = [origin_star[0] + galImg.array.shape[0] - 1, origin_star[1] + galImg.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_p1s=[] for galImg in galImg_List: subImg_p1 = galImg.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_p1, xcenter=xcenter_p1, 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], Loading @@ -352,21 +397,25 @@ class Galaxy(MockObject): 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) 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) star_p2s=[] for galImg in galImg_List: subImg_p2 = starImg.array[:, subSlitPos+1:starImg.array.shape[1]] subImg_p2 = galImg.array[:, subSlitPos + 1:galImg.array.shape[1]] star_p2 = galsim.Image(subImg_p2) star_p2.setOrigin(0, 0) star_p2s.append(star_p2) 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, 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], Loading @@ -374,41 +423,41 @@ class Galaxy(MockObject): 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) 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, sdp = SpecDisperser(orig_img=galImg_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) 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, sdp = SpecDisperser(orig_img=galImg_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) 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 # print(self.y_nominal, starImg.center.y, starImg.ymin) Loading