plt.imshow(QSO_img, origin='low', norm=LogNorm())
for i in range(len(obj)):
obj_x, obj_y = len(QSO_img) / 2 + obj[i][0][0], len(
QSO_img) / 2 + obj[i][0][1]
plt.text(obj_x, obj_y, "obj{0}".format(i), fontsize=15, color='k')
plt.show()
#%%
for k in run_list: #len(band_seq)):
print("Fiting the: " + filename_list[k])
psf, QSO_img, QSO_std = psf_l[k], QSO_img_l[k], QSO_std_l[k]
#==============================================================================
#Compare the PSF and QSO profiles
#==============================================================================
profiles_compare([psf, QSO_img], [1, 1], ['PSF', 'QSO'], if_annuli=True)
if pltshow == 0:
plt.close()
else:
plt.show()
#==============================================================================
# input the objects components and parameteres
#==============================================================================
fixed_source = []
kwargs_source_init = []
kwargs_source_sigma = []
kwargs_lower_source = []
kwargs_upper_source = []
ps_x = ((arr_x - fit_frame_size / 2) * pix_scale) * -1
ps_y = (arr_y - fit_frame_size / 2) * pix_scale
PSF_mask = np.sum(np.asarray(PSF_mask),axis=0)
elif len(PSF_mask) == 1:
PSF_mask = PSF_mask[0]
PSF_mask = (1 - (PSF_mask != 0)*1.)
PSFs_.append([PSF,PSF_center,PSF_mask])
count += 1
center_match = (np.sum(abs(np.asarray(PSF_gauss_centers)-np.asarray(PSF_bright_centers)<0.7),axis = 1) == 2)
psf_pos_list = [PSF_gauss_centers[i] for i in range(len(PSFs_)) if center_match[i]==True]
PSFs = [PSFs_[i] for i in range(len(PSFs_)) if center_match[i]==True]
save_loc_png(img_sub,center_QSO,psf_pos_list, ID=ID, label='PSF' ,reg_ty = None)
# Compare the Kron slope of the PSFs:
PSF_list = [PSFs[i][0] for i in range(len(PSFs))]
_ = profiles_compare(PSF_list, scal_list=np.ones(len(PSFs)),
prf_name_list=['PSF'+str(i) for i in range(len(PSFs))],
gridspace = 'log', if_annuli=True)
# =============================================================================
# Test the bkg level for lensed QSO and PSF
# =============================================================================
for i in range(len(PSF_list)):
_, _, _ = flux_profile(PSF_list[i], [len(PSF_list[i])/2]*2,
radius=len(PSF_list[i])/2, grids=50, ifplot=True, fits_plot= True)
#==============================================================================
# Save the lens fitting ingredients including:
#==============================================================================
import copy
file_header = copy.deepcopy(fitsFile[0].header)
file_header['CRPIX1'] = file_header['CRPIX1']-center_QSO[0]+fr
file_header['CRPIX2'] = file_header['CRPIX2']-center_QSO[1]+fr
