Loading ObservationSim/MockObject/Galaxy.py +6 −37 Original line number Diff line number Diff line Loading @@ -87,8 +87,6 @@ class Galaxy(MockObject): gal = gal.shear(gal_shear) gal = galsim.Convolve(psf, gal) # if fd_shear is not None: # gal = gal.shear(fd_shear) objs.append(gal) final = galsim.Sum(objs) return final Loading Loading @@ -144,6 +142,11 @@ class Galaxy(MockObject): bulge_shape = galsim.Shear(g1=self.e1_bulge, g2=self.e2_bulge) bulge = bulge.shear(bulge_shape) if fd_shear: g1 += fd_shear.g1 g2 += fd_shear.g2 gal_shear = galsim.Shear(g1=g1, g2=g2) for i in range(len(bandpass_list)): bandpass = bandpass_list[i] Loading @@ -167,14 +170,9 @@ class Galaxy(MockObject): # print("nphotons_sub-band_%d = %.2f"%(i, nphotons)) psf, pos_shear = psf_model.get_PSF(chip=chip, pos_img=pos_img, bandpass=bandpass, folding_threshold=folding_threshold) # disk = galsim.Sersic(n=self.disk_sersic_idx, half_light_radius=self.hlr_disk, flux=1.0, gsparams=gsp) # disk_shape = galsim.Shear(g1=self.e1_disk, g2=self.e2_disk) # disk = disk.shear(disk_shape) # bulge = galsim.Sersic(n=self.bulge_sersic_idx, half_light_radius=self.hlr_bulge, flux=1.0, gsparams=gsp) # bulge_shape = galsim.Shear(g1=self.e1_bulge, g2=self.e2_bulge) # bulge = bulge.shear(bulge_shape) gal_temp = self.bfrac * bulge + (1.0 - self.bfrac) * disk gal_temp = gal_temp.shear(gal_shear) gal_temp = gal_temp.withFlux(nphotons) if not big_galaxy: # Not apply PSF for very big galaxy Loading @@ -190,27 +188,6 @@ class Galaxy(MockObject): # kfrac = np.random.random()*(1.0 - self.bfrac) # gal = self.bfrac * bulge + (1.0 - self.bfrac - kfrac) * disk + kfrac * knots # gal = gal.withFlux(nphotons) # gal_shear = galsim.Shear(g1=g1, g2=g2) # gal = gal.shear(gal_shear) # if not big_galaxy: # Not apply PSF for very big galaxy # gal = galsim.Convolve(psf, gal) # # if fd_shear is not None: # # gal = gal.shear(fd_shear) # # Use (explicit) stamps to draw # stamp = gal.drawImage(wcs=real_wcs_local, method='phot', offset=offset, save_photons=True) # xmax = max(xmax, stamp.xmax - stamp.xmin) # ymax = max(ymax, stamp.ymax - stamp.ymin) # photons = stamp.photons # photons.x += x_nominal # photons.y += y_nominal # photons_list.append(photons) # del gal # # [C6 TEST] # print('xmax = %d, ymax = %d '%(xmax, ymax)) # # Output memory usage Loading @@ -218,13 +195,6 @@ class Galaxy(MockObject): # top_stats = snapshot.statistics('lineno') # for stat in top_stats[:10]: # print(stat) if fd_shear: g1 += fd_shear.g1 g2 += fd_shear.g2 gal_shear = galsim.Shear(g1=g1, g2=g2) gal = gal.shear(gal_shear) # if fd_shear is not None: # gal = gal.shear(fd_shear) stamp = gal.drawImage(wcs=real_wcs_local, method='phot', offset=offset, save_photons=True) photons = stamp.photons Loading @@ -232,7 +202,6 @@ class Galaxy(MockObject): photons.y += y_nominal photons_list.append(photons) # stamp = galsim.ImageF(int(xmax * 1.1), int(ymax * 1.1)) stamp.wcs = real_wcs_local stamp.setCenter(x_nominal, y_nominal) bounds = stamp.bounds & galsim.BoundsI(0, chip.npix_x - 1, 0, chip.npix_y - 1) Loading ObservationSim/ObservationSim.py +1 −1 Original line number Diff line number Diff line Loading @@ -220,7 +220,7 @@ class Observation(object): continue # [TODO] Testing chip_output.Log_info("mag_%s = %.3f"%(filt.filter_type.lower(), obj.param["mag_%s"%filt.filter_type.lower()])) # chip_output.Log_info("mag_%s = %.3f"%(filt.filter_type.lower(), obj.param["mag_%s"%filt.filter_type.lower()])) # Exclude very bright/dim objects (for now) if cut_filter.is_too_bright( Loading ObservationSim/PSF/FieldDistortion.py +2 −6 Original line number Diff line number Diff line Loading @@ -102,12 +102,8 @@ class FieldDistortion(object): g_abs = np.sqrt(g1k_fd**2 + g2k_fd**2) phi = cmath.phase(complex(g1k_fd, g2k_fd)) # g_abs = 0.7 g1k_fd = g_abs * np.cos(phi - 2*img_rot) g2k_fd = g_abs * np.sin(phi - 2*img_rot) # g1k_fd = g_abs * np.cos(phi - 2*img_rot) # g2k_fd = -g_abs * np.sin(phi - 2*img_rot) # g1k_fd = g_abs * np.cos(0. - 2*img_rot) # g2k_fd = g_abs * np.sin(0. - 2*img_rot) g1k_fd = g_abs * np.cos(phi + 2*img_rot) g2k_fd = g_abs * np.sin(phi + 2*img_rot) fd_shear = galsim.Shear(g1=g1k_fd, g2=g2k_fd) return galsim.PositionD(x, y), fd_shear Loading Loading
ObservationSim/MockObject/Galaxy.py +6 −37 Original line number Diff line number Diff line Loading @@ -87,8 +87,6 @@ class Galaxy(MockObject): gal = gal.shear(gal_shear) gal = galsim.Convolve(psf, gal) # if fd_shear is not None: # gal = gal.shear(fd_shear) objs.append(gal) final = galsim.Sum(objs) return final Loading Loading @@ -144,6 +142,11 @@ class Galaxy(MockObject): bulge_shape = galsim.Shear(g1=self.e1_bulge, g2=self.e2_bulge) bulge = bulge.shear(bulge_shape) if fd_shear: g1 += fd_shear.g1 g2 += fd_shear.g2 gal_shear = galsim.Shear(g1=g1, g2=g2) for i in range(len(bandpass_list)): bandpass = bandpass_list[i] Loading @@ -167,14 +170,9 @@ class Galaxy(MockObject): # print("nphotons_sub-band_%d = %.2f"%(i, nphotons)) psf, pos_shear = psf_model.get_PSF(chip=chip, pos_img=pos_img, bandpass=bandpass, folding_threshold=folding_threshold) # disk = galsim.Sersic(n=self.disk_sersic_idx, half_light_radius=self.hlr_disk, flux=1.0, gsparams=gsp) # disk_shape = galsim.Shear(g1=self.e1_disk, g2=self.e2_disk) # disk = disk.shear(disk_shape) # bulge = galsim.Sersic(n=self.bulge_sersic_idx, half_light_radius=self.hlr_bulge, flux=1.0, gsparams=gsp) # bulge_shape = galsim.Shear(g1=self.e1_bulge, g2=self.e2_bulge) # bulge = bulge.shear(bulge_shape) gal_temp = self.bfrac * bulge + (1.0 - self.bfrac) * disk gal_temp = gal_temp.shear(gal_shear) gal_temp = gal_temp.withFlux(nphotons) if not big_galaxy: # Not apply PSF for very big galaxy Loading @@ -190,27 +188,6 @@ class Galaxy(MockObject): # kfrac = np.random.random()*(1.0 - self.bfrac) # gal = self.bfrac * bulge + (1.0 - self.bfrac - kfrac) * disk + kfrac * knots # gal = gal.withFlux(nphotons) # gal_shear = galsim.Shear(g1=g1, g2=g2) # gal = gal.shear(gal_shear) # if not big_galaxy: # Not apply PSF for very big galaxy # gal = galsim.Convolve(psf, gal) # # if fd_shear is not None: # # gal = gal.shear(fd_shear) # # Use (explicit) stamps to draw # stamp = gal.drawImage(wcs=real_wcs_local, method='phot', offset=offset, save_photons=True) # xmax = max(xmax, stamp.xmax - stamp.xmin) # ymax = max(ymax, stamp.ymax - stamp.ymin) # photons = stamp.photons # photons.x += x_nominal # photons.y += y_nominal # photons_list.append(photons) # del gal # # [C6 TEST] # print('xmax = %d, ymax = %d '%(xmax, ymax)) # # Output memory usage Loading @@ -218,13 +195,6 @@ class Galaxy(MockObject): # top_stats = snapshot.statistics('lineno') # for stat in top_stats[:10]: # print(stat) if fd_shear: g1 += fd_shear.g1 g2 += fd_shear.g2 gal_shear = galsim.Shear(g1=g1, g2=g2) gal = gal.shear(gal_shear) # if fd_shear is not None: # gal = gal.shear(fd_shear) stamp = gal.drawImage(wcs=real_wcs_local, method='phot', offset=offset, save_photons=True) photons = stamp.photons Loading @@ -232,7 +202,6 @@ class Galaxy(MockObject): photons.y += y_nominal photons_list.append(photons) # stamp = galsim.ImageF(int(xmax * 1.1), int(ymax * 1.1)) stamp.wcs = real_wcs_local stamp.setCenter(x_nominal, y_nominal) bounds = stamp.bounds & galsim.BoundsI(0, chip.npix_x - 1, 0, chip.npix_y - 1) Loading
ObservationSim/ObservationSim.py +1 −1 Original line number Diff line number Diff line Loading @@ -220,7 +220,7 @@ class Observation(object): continue # [TODO] Testing chip_output.Log_info("mag_%s = %.3f"%(filt.filter_type.lower(), obj.param["mag_%s"%filt.filter_type.lower()])) # chip_output.Log_info("mag_%s = %.3f"%(filt.filter_type.lower(), obj.param["mag_%s"%filt.filter_type.lower()])) # Exclude very bright/dim objects (for now) if cut_filter.is_too_bright( Loading
ObservationSim/PSF/FieldDistortion.py +2 −6 Original line number Diff line number Diff line Loading @@ -102,12 +102,8 @@ class FieldDistortion(object): g_abs = np.sqrt(g1k_fd**2 + g2k_fd**2) phi = cmath.phase(complex(g1k_fd, g2k_fd)) # g_abs = 0.7 g1k_fd = g_abs * np.cos(phi - 2*img_rot) g2k_fd = g_abs * np.sin(phi - 2*img_rot) # g1k_fd = g_abs * np.cos(phi - 2*img_rot) # g2k_fd = -g_abs * np.sin(phi - 2*img_rot) # g1k_fd = g_abs * np.cos(0. - 2*img_rot) # g2k_fd = g_abs * np.sin(0. - 2*img_rot) g1k_fd = g_abs * np.cos(phi + 2*img_rot) g2k_fd = g_abs * np.sin(phi + 2*img_rot) fd_shear = galsim.Shear(g1=g1k_fd, g2=g2k_fd) return galsim.PositionD(x, y), fd_shear Loading