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import numpy as np
import copy
from astropy import wcs
from astropy.io import fits
import galsim
from ObservationSim.Instrument import Chip, Filter, FilterParam, FocalPlane, Telescope
from ObservationSim.PSF import PSFGauss, PSFInterp
class SingleEpochImage(object):
def __init__(self, config, filepath):
self.header0, self.header_img, self.img = self.read_initial_image(filepath)
self._get_wcs(self.header_img)
self._determine_unique_area(config)
self.output_img_fname = config['output_img_name']
if config['n_objects'] is not None:
# Fixed number of objects per image
self.objs_per_real = config['n_objects']
elif config['object_density'] is not None:
# Fixed number density of objects
self.objs_per_real = round(self.u_area * config['object_density'])
else:
# Grid types: calculate nobjects later
self.objs_per_real = None
self.tel = Telescope()
# Determine which CCD
self.chip_ID = int(self.header0['DETECTOR'][-2:])
# Determine epxosure time
self.exp_time = float(self.header0['EXPTIME'])
config["obs_setting"]={}
config["obs_setting"]["exp_time"] = self.exp_time
# Construnct Chip object
self.chip = Chip(chipID=self.chip_ID, config=config)
# Load PSF model
if config["psf_setting"]["psf_model"] == "Gauss":
self.psf_model = PSFGauss(chip=self.chip)
elif config["psf_setting"]["psf_model"] == "Interp":
self.psf_model = PSFInterp(chip=self.chip, PSF_data_file=config["psf_setting"]["psf_dir"])
filter_id, filter_type = self.chip.getChipFilter()
filter_param = FilterParam()
self.filt = Filter(filter_id=filter_id,
filter_type=filter_type,
filter_param=filter_param)
self.focal_plane = FocalPlane()
self.setup_image_for_injection()
def setup_image_for_injection(self):
ra_cen = self.wcs.wcs.crval[0]
dec_cen = self.wcs.wcs.crval[1]
self.wcs_fp = self.focal_plane.getTanWCS(ra_cen, dec_cen, self.pos_ang*galsim.degrees, self.pixel_scale)
# self.inj_img = galsim.ImageF(self.chip.npix_x, self.chip.npix_y)
self.chip.img = galsim.Image(self.img, copy=True)
self.chip.img.setOrigin(self.chip.bound.xmin, self.chip.bound.ymin)
self.chip.img.wcs = self.wcs_fp
print(self.chip.img.array)
def read_initial_image(self, filepath):
data = fits.open(filepath)
header0 = data[0].header
header1 = data[1].header
image = fits.getdata(filepath)
# (TEMP)
image = np.float64(image)
image *= 1.1
image -= 500.
temp_img = galsim.Image(image, copy=True)
temp_img.array[temp_img.array > 65535] = 65535
temp_img.replaceNegative(replace_value=0)
temp_img.quantize()
temp_img = galsim.Image(temp_img.array, dtype=np.uint16)
# self.chip.img = galsim.Image(self.chip.img.array, dtype=np.int32)
hdu1 = fits.PrimaryHDU(header=header0)
hdu2 = fits.ImageHDU(temp_img.array, header=header1)
hdu1 = fits.HDUList([hdu1, hdu2])
fname = "nullwt_image_for_injection.fits"
hdu1.writeto(fname, output_verify='ignore', overwrite=True)
return header0, header1, image
def _get_wcs(self, header):
crpix1 = float(header['CRPIX1'])
crpix2 = float(header['CRPIX2'])
crval1 = float(header['CRVAL1'])
crval2 = float(header['CRVAL2'])
ctype1 = str(header['CTYPE1'])
ctype2 = str(header['CTYPE2'])
cd1_1 = float(header['CD1_1'])
cd1_2 = float(header['CD1_2'])
cd2_1 = float(header['CD2_1'])
cd2_2 = float(header['CD2_2'])
self.pos_ang = float(header['POS_ANG'])
# Create WCS object
self.wcs = wcs.WCS()
self.wcs.wcs.crpix = [crpix1, crpix2]
self.wcs.wcs.crval = [crval1, crval2]
self.wcs.wcs.ctype = [ctype1, ctype2]
self.wcs.wcs.cd = [[cd1_1, cd1_2], [cd2_1, cd2_2]]
self.pixel_scale = 0.074
self.Npix_x = int(header['NAXIS1'])
self.Npix_y = int(header['NAXIS2'])
def _determine_unique_area(self, config):
coners = np.array([(1, 1), (1, self.Npix_y), (self.Npix_x, 1), (self.Npix_x, self.Npix_y)])
coners = self.wcs.wcs_pix2world(coners, 1)
ra_coners = coners[:, 0]
dec_coners = coners[:, 1]
self.ramin, self.ramax = min(ra_coners), max(ra_coners)
self.decmin, self.decmax = min(dec_coners), max(dec_coners)
if self.ramax - self.ramin > 1.:
self.ra_boundary_cross = True
else:
self.ra_boundary_cross = False
d1, d2 = np.deg2rad([self.decmin, self.decmax])
r1, r2 = self.ramin, self.ramax
if self.ra_boundary_cross:
r2 = r2 + 360.
# In deg^2
a = (180. / np.pi) * (r2 - r1) * (np.sin(d2) - np.sin(d1))
# Save in arcmin^2
self.u_area = 3600. * a
def inject_objects(self, pos, cat):
nobj = len(pos)
# Make sure we have enough objects to inject
assert nobj <= len(cat.objs)
for i in range(nobj):
obj = cat.objs[i]
try:
sed_data = cat.load_sed(obj)
norm_filt = cat.load_norm_filt(obj)
obj.sed, obj.param["mag_%s"%self.filt.filter_type], obj.param["flux_%s"%self.filt.filter_type] = cat.convert_sed(
mag=obj.param["mag_use_normal"],
sed=sed_data,
target_filt=self.filt,
norm_filt=norm_filt)
except Exception as e:
print(e)
continue
# Update object position to a point on grid
obj.param['ra'], obj.param['dec'] = pos[i][0], pos[i][1]
pos_img, offset, local_wcs = obj.getPosImg_Offset_WCS(img=self.chip.img)
print(pos_img.x, pos_img.y)
try:
isUpdated, pos_shear = obj.drawObj_multiband(
tel=self.tel,
pos_img=pos_img,
psf_model=self.psf_model,
bandpass_list=self.filt.bandpass_sub_list,
filt=self.filt,
chip=self.chip,
g1=obj.g1,
g2=obj.g2,
exptime=self.exp_time)
if isUpdated:
# TODO: add up stats
# print("updating output catalog...")
print('Updated')
pass
else:
# print("object omitted", flush=True)
continue
except Exception as e:
print(e)
pass
# Unload SED:
obj.unload_SED()
del obj
def save_injected_img(self):
self.chip.img.array[self.chip.img.array > 65535] = 65535
self.chip.img.replaceNegative(replace_value=0)
self.chip.img.quantize()
self.chip.img = galsim.Image(self.chip.img.array, dtype=np.uint16)
# self.chip.img = galsim.Image(self.chip.img.array, dtype=np.int32)
hdu1 = fits.PrimaryHDU(header=self.header0)
hdu2 = fits.ImageHDU(self.chip.img.array, header=self.header_img)
hdu1 = fits.HDUList([hdu1, hdu2])
# fname = 'test_inject.fits'
# fname = '20220621_test_injection.fits'
fname = self.output_img_fname
hdu1.writeto(fname, output_verify='ignore', overwrite=True)