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Commit d4b41c36 authored by Wei Chengliang's avatar Wei Chengliang
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update fits module

parent f5372672
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Catalog/C6_fits_Catalog.py
View file @ d4b41c36
......@@ -60,6 +60,9 @@ class Catalog(CatalogBase):
with pkg_resources.path('Catalog.data', 'SLOAN_SDSS.g.fits') as filter_path:
self.normF_star = Table.read(str(filter_path))
with pkg_resources.path('Catalog.data', 'lsst_throuput_g.fits') as filter_path:
self.normF_galaxy = Table.read(str(filter_path))
self.config = config
self.chip = chip
......@@ -138,8 +141,8 @@ class Catalog(CatalogBase):
return None
###mock_stamp_START
elif obj.type == "stamp":
#return self.normF_galaxy ###normalize_filter for stamp
return None
return self.normF_galaxy ###normalize_filter for stamp
#return None
###mock_stamp_END
else:
return None
......@@ -197,8 +200,8 @@ class Catalog(CatalogBase):
for igals in range(ngals):
# # (TEST)
# if igals > 100:
# break
if igals > 2000:
break
param = self.initialize_param()
param['ra'] = ra_arr[igals]
......@@ -321,8 +324,8 @@ class Catalog(CatalogBase):
)
for istars in range(nstars):
# # (TEST)
# if istars > 100:
# break
if istars > 100:
break
param = self.initialize_param()
param['ra'] = ra_arr[istars]
......@@ -389,6 +392,9 @@ class Catalog(CatalogBase):
input_time_str=time_str
)
for iAGNs in range(nAGNs):
if iAGNs > 100:
break
param = self.initialize_param()
param['ra'] = ra_arr[iAGNs]
param['dec'] = dec_arr[iAGNs]
......@@ -425,13 +431,15 @@ class Catalog(CatalogBase):
self.ud = galsim.UniformDeviate(pix_id)
for istamp in range(nstamps):
print('DEBUG:::istamp=', istamp)
fitsfile = os.path.join(self.cat_dir, "stampCats/"+stamps['filename'][istamp].decode('utf-8'))
hdu=fitsio.open(fitsfile)
param = self.initialize_param()
param['id'] = hdu[0].header['index'] #istamp
param['star'] = 3 # Stamp type in .cat file
param['lensGalaxyID'] = hdu[0].header['lensGID']
###param['lensGalaxyID'] = hdu[0].header['lensGID']
param['ra'] = hdu[0].header['ra']
param['dec']= hdu[0].header['dec']
param['pixScale']= hdu[0].header['pixScale']
......@@ -440,9 +448,9 @@ class Catalog(CatalogBase):
#param['PA']= hdu[0].header['PA']
#param['bfrac']= hdu[0].header['bfrac']
#param['z']= hdu[0].header['z']
param['mag_use_normal'] = 22 #hdu[0].header['m_normal'] #gals['mag_true_g_lsst']
param['mag_use_normal'] = 20 #hdu[0].header['m_normal'] #gals['mag_true_g_lsst']
assert(stamps['lensGID'][istamp] == param['lensGalaxyID'])
###assert(stamps['lensGID'][istamp] == param['lensGalaxyID'])
# Apply astrometric modeling
# in C3 case only aberration
......
ObservationSim/MockObject/Stamp.py
View file @ d4b41c36
import os, sys
import random
import numpy as np
import galsim
import astropy.constants as cons
from astropy.table import Table
from scipy import interpolate
import astropy.io.fits as fitsio
import galsim
import gc
from ObservationSim.MockObject.MockObject import MockObject
from ObservationSim.MockObject._util import magToFlux,VC_A
from ObservationSim.MockObject.SpecDisperser import SpecDisperser
from ObservationSim.MockObject._util import eObs, integrate_sed_bandpass, getNormFactorForSpecWithABMAG, getObservedSED, getABMAG,convolveGaussXorders
class Stamp(MockObject):
def __init__(self, param):
super().__init__(param)
def __init__(self, param, logger=None):
super().__init__(param, logger=logger)
def unload_SED(self):
"""(Test) free up SED memory
......@@ -35,9 +30,9 @@ class Stamp(MockObject):
self.logger.error(e)
return False
nphotons_sum = 0
photons_list = []
xmax, ymax = 0, 0
#nphotons_sum = 0
#photons_list = []
#xmax, ymax = 0, 0
if self.getMagFilter(filt) <= 15:
folding_threshold = 5.e-4
......@@ -46,7 +41,7 @@ class Stamp(MockObject):
gsp = galsim.GSParams(folding_threshold=folding_threshold)
self.real_pos = self.getRealPos(chip.img, global_x=self.posImg.x, global_y=self.posImg.y,
img_real_wcs=self.real_wcs)
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))
......@@ -55,72 +50,237 @@ class Stamp(MockObject):
dy = y - y_nominal
offset = galsim.PositionD(dx, dy)
real_wcs_local = self.real_wcs.local(self.real_pos)
chip_wcs_local = self.chip_wcs.local(self.real_pos)
is_updated = 0
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]
try:
sub = integrate_sed_bandpass(sed=self.sed, bandpass=bandpass)
except Exception as e:
print(e)
if self.logger:
self.logger.error(e)
# return False
continue
ratio = sub/full
if not (ratio == -1 or (ratio != ratio)):
nphotons = ratio * nphotons_tot
else:
# return False
continue
nphotons_sum += nphotons
#nphotons_sum += nphotons
psf, pos_shear = psf_model.get_PSF(chip=chip, pos_img=pos_img, bandpass=bandpass, folding_threshold=folding_threshold)
_gal = self.param['image']
galIm = galsim.ImageF(_gal, scale=self.param['pixScale'])
gal = galsim.InterpolatedImage(galIm)
gal = gal.withFlux(nphotons)
#gal_shear = galsim.Shear(g1=g1, g2=g2)
#gal = gal.shear(gal_shear)
gal = galsim.Convolve(psf, gal)
if fd_shear is not None:
gal = gal.shear(fd_shear)
galImg= galsim.ImageF(_gal, scale=self.param['pixScale'])
gal_temp= galsim.InterpolatedImage(galImg)
gal_temp= gal_temp.shear(gal_shear)
gal_temp= gal_temp.withFlux(nphotons)
stamp = gal.drawImage(wcs=real_wcs_local, method='phot', offset=self.offset, save_photons=True)
gal_temp= galsim.Convolve(psf, gal_temp)
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
if i == 0:
gal = gal_temp
else:
gal = gal + gal_temp
# print('xmax = %d, ymax = %d '%(xmax, ymax))
stamp = gal.drawImage(wcs=chip_wcs_local, offset=offset)
if np.sum(np.isnan(stamp.array)) > 0:
# ERROR happens
return 2, pos_shear
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)
if bounds.area() > 0:
chip.img.setOrigin(0, 0)
stamp[bounds] = chip.img[bounds]
for i in range(len(photons_list)):
if i == 0:
chip.sensor.accumulate(photons_list[i], stamp)
chip.img[bounds] += stamp[bounds]
is_updated = 1
chip.img.setOrigin(chip.bound.xmin, chip.bound.ymin)
del stamp
if is_updated == 0:
print("fits obj %s missed"%(self.id))
if self.logger:
self.logger.info("fits obj %s missed"%(self.id))
return 0, pos_shear
return 1, 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:
chip.sensor.accumulate(photons_list[i], stamp, resume=True)
sedNormFactor = 1.
normalSED = Table(np.array([self.sed['WAVELENGTH'], self.sed['FLUX'] * sedNormFactor]).T,
names=('WAVELENGTH', 'FLUX'))
chip.img[bounds] = stamp[bounds]
self.real_pos = self.getRealPos(chip.img, global_x=self.posImg.x, global_y=self.posImg.y,
img_real_wcs=self.chip_wcs)
chip.img.setOrigin(chip.bound.xmin, chip.bound.ymin)
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)
del photons_list
del stamp
gc.collect()
return True, pos_shear
chip_wcs_local = self.chip_wcs.local(self.real_pos)
if self.getMagFilter(filt) <= 15:
folding_threshold = 5.e-4
else:
folding_threshold = 5.e-3
gsp = galsim.GSParams(folding_threshold=folding_threshold)
# nphotons_sum = 0
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])
# print(hasattr(psf_model, 'bandranges'))
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)
_gal = self.param['image']
galImg= galsim.ImageF(_gal, scale=self.param['pixScale'])
gal = galsim.InterpolatedImage(galImg)
# (TEST) Random knots
# knots = galsim.RandomKnots(npoints=100, profile=disk)
# kfrac = np.random.random()*(1.0 - self.bfrac)
# gal = self.bfrac * bulge + (1.0 - self.bfrac - kfrac) * disk + kfrac * knots
gal = gal.withFlux(tel.pupil_area * exptime)
if fd_shear:
g1 += fd_shear.g1
g2 += fd_shear.g2
gal_shear = galsim.Shear(g1=g1, g2=g2)
gal = gal.shear(gal_shear)
# gal = galsim.Convolve(psf, gal)
# 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)
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)
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)
star_p1.setOrigin(0, 0)
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,
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
# print(self.y_nominal, starImg.center.y, starImg.ymin)
# del psf
return 1, pos_shear
config/config_C6_fits.yaml
View file @ d4b41c36
......@@ -9,9 +9,11 @@
# Base diretories and naming setup
# Can add some of the command-line arguments here as well;
# OK to pass either way or both, as long as they are consistent
work_dir: "/share/simudata/CSSOSDataProductsSims/data/CSSTSimImage_C6/"
work_dir: "/share/simudata/CSSOSDataProductsSims/data/CSSTSimImage_C8/"
data_dir: "/share/simudata/CSSOSDataProductsSims/data/"
run_name: "C6_fits_testRun"
run_name: "testRun_fits"
project_cycle: 6
run_counter: 1
# Whether to use MPI
run_option:
......@@ -46,7 +48,7 @@ catalog_options:
#stamp_SED:
# Only simulate stars?
star_only: NO
star_only: YES
# Only simulate galaxies?
galaxy_only: NO
......@@ -63,12 +65,22 @@ catalog_options:
# Observation setting
###############################################
obs_setting:
# Options for survey types:
# "Photometric": simulate photometric chips only
# "Spectroscopic": simulate slitless spectroscopic chips only
# "FGS": simulate FGS chips only (31-42)
# "All": simulate full focal plane
survey_type: "Photometric"
# "CALIBRATION": falt, bias, dark with or without postflash
survey_type: "All"
# "LED": ['LED1','LED2','LED3','LED4','LED5','LED6','LED7','LED8','LED9','LED10','LED11','LED12','LED13','LED14'] or null
# 'LED1': '275', 'LED2': '310', 'LED3': '430', 'LED4': '505', 'LED5': '545', 'LED6': '590', 'LED7': '670',
# 'LED8': '760', 'LED9': '940', 'LED10': '940', 'LED11': '1050', 'LED12': '1050','LED13': '340', 'LED14': '365'
# LED_TYPE: ['LED5']
# LED_TIME: [1.]
# # unit e- ,flat level
# FLAT_LEVEL: 20000
# FLAT_LEVEL_FIL: 'g'
# Exposure time [seconds]
exp_time: 150.
......@@ -79,10 +91,10 @@ obs_setting:
# Default Pointing [degrees]
# Note: NOT valid when a pointing list file is specified
ra_center: 244.972773
dec_center: 39.895901
ra_center: 192.8595
dec_center: 27.1283
# Image rotation [degree]
image_rot: 109.59
image_rot: -113.4333
# (Optional) a file of point list
# if you just want to run default pointing:
......@@ -90,8 +102,6 @@ obs_setting:
# - pointing_file: null
pointing_dir: "/share/simudata/CSSOSDataProductsSims/data/"
pointing_file: "pointing_radec_246.5_40.dat"
# pointing_dir: null
# pointing_file: null
# Number of calibration pointings
np_cal: 0
......@@ -106,16 +116,20 @@ obs_setting:
# - give a list of indexes of chips: [ip_1, ip_2...]
# - run all chips: null
# Note: for all pointings
run_chips: [7]
run_chips: [1, 2, 3, 7, 8, 9]
# Whether to enable astrometric modeling
enable_astrometric_model: False
enable_astrometric_model: True
# Whether to enable straylight model
enable_straylight_model: True
# Cut by saturation magnitude in which band?
cut_in_band: "z"
# saturation magnitude margin
mag_sat_margin: -2.5
# mag_sat_margin: -2.5
mag_sat_margin: -15.
# limiting magnitude margin
mag_lim_margin: +1.0
......@@ -138,7 +152,7 @@ psf_setting:
# path to PSF data
# NOTE: only valid for "Interp" PSF
psf_dir: "/share/simudata/CSSOSDataProductsSims/data/psfCube1"
psf_sls_dir: "/share/simudata/CSSOSDataProductsSims/data/SLS_PSF_PCA_fp/"
###############################################
# Shear setting
###############################################
......@@ -160,25 +174,27 @@ ins_effects:
# switches
# Note: bias_16channel, gain_16channel, and shutter_effect
# is currently not applicable to "FGS" observations
field_dist: OFF # Whether to add field distortions
add_back: OFF # Whether to add sky background
add_dark: OFF # Whether to add dark noise
add_readout: OFF # Whether to add read-out (Gaussian) noise
add_bias: OFF # Whether to add bias-level to images
bias_16channel: OFF # Whether to add different biases for 16 channels
gain_16channel: OFF # Whether to make different gains for 16 channels
shutter_effect: OFF # Whether to add shutter effect
flat_fielding: OFF # Whether to add flat-fielding effect
prnu_effect: OFF # Whether to add PRNU effect
non_linear: OFF # Whether to add non-linearity
cosmic_ray: OFF # Whether to add cosmic-ray
cray_differ: OFF # Whether to generate different cosmic ray maps CAL and MS output
cte_trail: OFF # Whether to simulate CTE trails
saturbloom: OFF # Whether to simulate Saturation & Blooming
add_badcolumns: OFF # Whether to add bad columns
add_hotpixels: OFF # Whether to add hot pixels
add_deadpixels: OFF # Whether to add dead(dark) pixels
bright_fatter: OFF # Whether to simulate Brighter-Fatter (also diffusion) effect
field_dist: YES # Whether to add field distortions
add_back: YES # Whether to add sky background
add_dark: YES # Whether to add dark noise
add_readout: YES # Whether to add read-out (Gaussian) noise
add_bias: YES # Whether to add bias-level to images
bias_16channel: YES # Whether to add different biases for 16 channels
gain_16channel: YES # Whether to make different gains for 16 channels
shutter_effect: YES # Whether to add shutter effect
flat_fielding: YES # Whether to add flat-fielding effect
prnu_effect: YES # Whether to add PRNU effect
non_linear: YES # Whether to add non-linearity
cosmic_ray: YES # Whether to add cosmic-ray
cray_differ: YES # Whether to generate different cosmic ray maps CAL and MS output
cte_trail: NO # Whether to simulate CTE trails, CTI_lgl_v0.3.tar.gz
saturbloom: YES # Whether to simulate Saturation & Blooming
add_badcolumns: YES # Whether to add bad columns
add_hotpixels: YES # Whether to add hot pixels
add_deadpixels: YES # Whether to add dead(dark) pixels
bright_fatter: YES # Whether to simulate Brighter-Fatter (also diffusion) effect
add_prescan: NO # Whether to add pre/over-scan
format_output: NO ##1*16 output
# Values:
# default values have been defined individually for each chip in:
......
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