Commit b4f212dc authored by Zhang Xin's avatar Zhang Xin
Browse files

issue17:fix led model memory bug; issue19:header time is not utc bug;...

issue17:fix led model memory bug; issue19:header time is not utc bug; issue18:header data-obs\darktime\exposure time fix by shaoli's chart;add new star catalog:C6_50sqdeg_ns.py
parent 90a73995
This diff is collapsed.
...@@ -19,7 +19,7 @@ from astropy.time import Time ...@@ -19,7 +19,7 @@ from astropy.time import Time
from astropy import wcs from astropy import wcs
from ObservationSim.Config._util import get_obs_id, get_file_type from ObservationSim.Config._util import get_obs_id, get_file_type
from datetime import datetime from datetime import datetime, timezone
# import socket # import socket
import platform import platform
import toml import toml
...@@ -352,7 +352,10 @@ def generatePrimaryHeader(xlen = 9216, ylen = 9232, pointing_id = '00000001', po ...@@ -352,7 +352,10 @@ def generatePrimaryHeader(xlen = 9216, ylen = 9232, pointing_id = '00000001', po
# ccdnum = str(k) # ccdnum = str(k)
datetime_obs = datetime.utcfromtimestamp(time_pt) datetime_obs = datetime.utcfromtimestamp(time_pt)
datetime_obs = datetime_obs.replace(tzinfo=timezone.utc)
# print(datetime_obs.strftime("%Y-%m-%dT%H:%M:%S.%f")[:-5])
datetime_obs = datetime.utcfromtimestamp(np.round(datetime_obs.timestamp(), 1)) datetime_obs = datetime.utcfromtimestamp(np.round(datetime_obs.timestamp(), 1))
# print(datetime_obs.strftime("%Y-%m-%dT%H:%M:%S.%f")[:-5])
# date_obs = datetime_obs.strftime("%y%m%d") # date_obs = datetime_obs.strftime("%y%m%d")
# time_obs = datetime_obs.strftime("%H%M%S%f")[:-5] # time_obs = datetime_obs.strftime("%H%M%S%f")[:-5]
...@@ -551,30 +554,32 @@ def generateExtensionHeader(chip, xlen = 9216, ylen = 9232,ra = 60, dec = -40, p ...@@ -551,30 +554,32 @@ def generateExtensionHeader(chip, xlen = 9216, ylen = 9232,ra = 60, dec = -40, p
h_ext['PIXSCAL1'] = pixel_scale h_ext['PIXSCAL1'] = pixel_scale
h_ext['PIXSCAL2'] = pixel_scale h_ext['PIXSCAL2'] = pixel_scale
h_ext['EXPTIME'] = exptime h_ext['EXPTIME'] = exptime
h_ext['DARKTIME'] = exptime + readoutTime h_ext['DARKTIME'] = exptime
datetime_obs = datetime.utcfromtimestamp(timestamp) datetime_obs = datetime.utcfromtimestamp(timestamp)
datetime_obs = datetime_obs.replace(tzinfo=timezone.utc)
tstart = Time(datetime_obs) tstart = Time(datetime_obs)
t_shutter_os = tstart t_shutter_os = tstart
t_shutter_oe = Time(tstart.mjd + t_shutter_open / 86400., format="mjd") t_shutter_oe = Time(tstart.mjd + t_shutter_open / 86400., format="mjd")
t_shutter_co = Time(tstart.mjd + exptime / 86400., format="mjd") t_shutter_co = Time(tstart.mjd + exptime / 86400., format="mjd")
t_shutter_ce = Time(tstart.mjd + (exptime + t_shutter_close) / 86400., format="mjd") t_shutter_ce = Time(tstart.mjd + (exptime + t_shutter_close) / 86400., format="mjd")
t_shutter_os1 = datetime.utcfromtimestamp(np.round(datetime.utcfromtimestamp(t_shutter_os.unix).timestamp(), 1)) t_shutter_os1 = datetime.utcfromtimestamp(np.round(datetime.utcfromtimestamp(t_shutter_os.unix).replace(tzinfo=timezone.utc).timestamp(), 1))
h_ext['SHTOPEN0'] = t_shutter_os1.strftime("%Y-%m-%dT%H:%M:%S.%f")[:-5] h_ext['SHTOPEN0'] = t_shutter_os1.strftime("%Y-%m-%dT%H:%M:%S.%f")[:-5]
t_shutter_oe1 = datetime.utcfromtimestamp(np.round(datetime.utcfromtimestamp(t_shutter_oe.unix).timestamp(), 1)) t_shutter_oe1 = datetime.utcfromtimestamp(np.round(datetime.utcfromtimestamp(t_shutter_oe.unix).replace(tzinfo=timezone.utc).timestamp(), 1))
h_ext['SHTOPEN1'] = t_shutter_oe1.strftime("%Y-%m-%dT%H:%M:%S.%f")[:-5] h_ext['SHTOPEN1'] = t_shutter_oe1.strftime("%Y-%m-%dT%H:%M:%S.%f")[:-5]
t_shutter_co1 = datetime.utcfromtimestamp(np.round(datetime.utcfromtimestamp(t_shutter_co.unix).timestamp(), 1)) t_shutter_co1 = datetime.utcfromtimestamp(np.round(datetime.utcfromtimestamp(t_shutter_co.unix).replace(tzinfo=timezone.utc).timestamp(), 1))
h_ext['SHTCLOS0'] = t_shutter_co1.strftime("%Y-%m-%dT%H:%M:%S.%f")[:-5] h_ext['SHTCLOS0'] = t_shutter_co1.strftime("%Y-%m-%dT%H:%M:%S.%f")[:-5]
t_shutter_ce1 = datetime.utcfromtimestamp(np.round(datetime.utcfromtimestamp(t_shutter_ce.unix).timestamp(), 1)) t_shutter_ce1 = datetime.utcfromtimestamp(np.round(datetime.utcfromtimestamp(t_shutter_ce.unix).replace(tzinfo=timezone.utc).timestamp(), 1))
h_ext['SHTCLOS1'] = t_shutter_ce1.strftime("%Y-%m-%dT%H:%M:%S.%f")[:-5] h_ext['SHTCLOS1'] = t_shutter_ce1.strftime("%Y-%m-%dT%H:%M:%S.%f")[:-5]
tstart_read = Time(tstart.mjd + exptime / 86400., format="mjd") tstart_read = Time(tstart.mjd + exptime / 86400., format="mjd")
tend_read = Time(tstart.mjd + (exptime + readoutTime) / 86400., format="mjd") tend_read = Time(tstart.mjd + (exptime + readoutTime) / 86400., format="mjd")
# tstart1=tstart.datetime.replace(microsecond=round(tstart.datetime.microsecond, -5)) # tstart1=tstart.datetime.replace(microsecond=round(tstart.datetime.microsecond, -5))
tstart1 = datetime.utcfromtimestamp(np.round(datetime.utcfromtimestamp(tstart_read.unix).timestamp(), 1)) tstart1 = datetime.utcfromtimestamp(np.round(datetime.utcfromtimestamp(tstart_read.unix).replace(tzinfo=timezone.utc).timestamp(), 1))
h_ext['ROTIME0'] = tstart1.strftime("%Y-%m-%dT%H:%M:%S.%f")[:-5] h_ext['ROTIME0'] = tstart1.strftime("%Y-%m-%dT%H:%M:%S.%f")[:-5]
# tend_read1 = tend_read.datetime.replace(microsecond=round(tend_read.datetime.microsecond, -5)) # tend_read1 = tend_read.datetime.replace(microsecond=round(tend_read.datetime.microsecond, -5))
tend_read1 = datetime.utcfromtimestamp(np.round(datetime.utcfromtimestamp(tend_read.unix).timestamp(), 1)) tend_read1 = datetime.utcfromtimestamp(np.round(datetime.utcfromtimestamp(tend_read.unix).replace(tzinfo=timezone.utc).timestamp(), 1))
h_ext['ROTIME1'] = tend_read1.strftime("%Y-%m-%dT%H:%M:%S.%f")[:-5] h_ext['ROTIME1'] = tend_read1.strftime("%Y-%m-%dT%H:%M:%S.%f")[:-5]
# h_ext['POS_ANG'] = pa # h_ext['POS_ANG'] = pa
header_wcs = WCS_def(xlen=xlen, ylen=ylen, gapy=898.0, gapx1=534, gapx2=1309, ra_ref=ra, dec_ref=dec, pa=pa, pixel_scale=pixel_scale, pixel_size=pixel_size, header_wcs = WCS_def(xlen=xlen, ylen=ylen, gapy=898.0, gapx1=534, gapx2=1309, ra_ref=ra, dec_ref=dec, pa=pa, pixel_scale=pixel_scale, pixel_size=pixel_size,
......
...@@ -56,6 +56,8 @@ class CatalogBase(metaclass=ABCMeta): ...@@ -56,6 +56,8 @@ class CatalogBase(metaclass=ABCMeta):
"teff":0., "teff":0.,
"logg":0., "logg":0.,
"feh":0., "feh":0.,
"DM":0.,
"stellarMass":1.,
# C6 galaxies parameters # C6 galaxies parameters
"e1":0., "e1":0.,
"e2":0., "e2":0.,
......
...@@ -11,6 +11,7 @@ from scipy.interpolate import griddata ...@@ -11,6 +11,7 @@ from scipy.interpolate import griddata
from astropy.table import Table from astropy.table import Table
from ObservationSim.MockObject.SpecDisperser import SpecDisperser from ObservationSim.MockObject.SpecDisperser import SpecDisperser
from scipy import interpolate from scipy import interpolate
import gc
from ObservationSim.MockObject.MockObject import MockObject from ObservationSim.MockObject.MockObject import MockObject
# from ObservationSim.Straylight import calculateSkyMap_split_g # from ObservationSim.Straylight import calculateSkyMap_split_g
...@@ -96,9 +97,48 @@ class FlatLED(object): ...@@ -96,9 +97,48 @@ class FlatLED(object):
U = griddata(X_, Z_, ( U = griddata(X_, Z_, (
M[self.chip.npix_y * i:self.chip.npix_y * (i + 1), self.chip.npix_x * j:self.chip.npix_x * (j + 1)], M[self.chip.npix_y * i:self.chip.npix_y * (i + 1), self.chip.npix_x * j:self.chip.npix_x * (j + 1)],
N[self.chip.npix_y * i:self.chip.npix_y * (i + 1), self.chip.npix_x * j:self.chip.npix_x * (j + 1)]), N[self.chip.npix_y * i:self.chip.npix_y * (i + 1), self.chip.npix_x * j:self.chip.npix_x * (j + 1)]),
method='cubic') method='linear')
U = U/np.mean(U) U = U/np.mean(U)
flatImage = U*fluxLED[led_type]*1000 flatImage = U*fluxLED[led_type]*1000
gc.collect()
return flatImage
###
### return LED flat, e/s
###
def getLEDImage1(self, led_type='LED1'):
# cwave = cwaves[led_type]
flat = fits.open(os.path.join(self.flatDir, 'model_' + cwaves_name[led_type] + 'nm.fits'))
xlen = flat[0].header['NAXIS1']
ylen = 601
i = self.chip.rowID - 1
j = self.chip.colID - 1
x = np.linspace(0, self.chip.npix_x, int(xlen/6.))
y = np.linspace(0, self.chip.npix_y, int(ylen/5.))
xx, yy = np.meshgrid(x, y)
a1 = flat[0].data[int(ylen*i/5.):int(ylen*i/5.)+int(ylen/5.), int(xlen*j/6.):int(xlen*j/6.)+int(xlen/6.)]
# z = np.sin((xx+yy+xx**2+yy**2))
# fInterp = interp2d(xx, yy, z, kind='linear')
X_ = np.hstack((xx.flatten()[:, None], yy.flatten()[:, None]))
Z_ = a1.flatten()
n_x = np.arange(0, self.chip.npix_x , 1)
n_y = np.arange(0, self.chip.npix_y, 1)
M, N = np.meshgrid(n_x, n_y)
U = griddata(X_, Z_, (
M[0:self.chip.npix_y, 0:self.chip.npix_x],
N[0:self.chip.npix_y, 0:self.chip.npix_x ]),
method='linear')
U = U/np.mean(U)
flatImage = U*fluxLED[led_type]*1000
gc.collect()
return flatImage return flatImage
def drawObj_LEDFlat_img(self, led_type_list=['LED1'], exp_t_list=[0.1]): def drawObj_LEDFlat_img(self, led_type_list=['LED1'], exp_t_list=[0.1]):
...@@ -114,7 +154,9 @@ class FlatLED(object): ...@@ -114,7 +154,9 @@ class FlatLED(object):
for i in np.arange(len(led_type_list)): for i in np.arange(len(led_type_list)):
led_type = led_type_list[i] led_type = led_type_list[i]
exp_t = exp_t_list[i] exp_t = exp_t_list[i]
unitFlatImg = self.getLEDImage(led_type=led_type) # unitFlatImg = self.getLEDImage(led_type=led_type)
unitFlatImg = self.getLEDImage1(led_type=led_type)
# print("---------------TEST mem:",np.mean(unitFlatImg))
led_wave = cwaves[led_type] led_wave = cwaves[led_type]
led_fwhm = cwaves_fwhm[led_type] led_fwhm = cwaves_fwhm[led_type]
led_spec = self.gaussian1d_profile_led(led_wave, led_fwhm) led_spec = self.gaussian1d_profile_led(led_wave, led_fwhm)
...@@ -134,6 +176,7 @@ class FlatLED(object): ...@@ -134,6 +176,7 @@ class FlatLED(object):
ledStat = ledStat[0:int(led_type[3:])-1]+nledStat+ledStat[int(led_type[3:]):] ledStat = ledStat[0:int(led_type[3:])-1]+nledStat+ledStat[int(led_type[3:]):]
ledTimes[int(led_type[3:])-1] = exp_t * 1000 ledTimes[int(led_type[3:])-1] = exp_t * 1000
gc.collect()
return ledFlat, ledStat, ledTimes return ledFlat, ledStat, ledTimes
def drawObj_LEDFlat_slitless(self, led_type_list=['LED1'], exp_t_list=[0.1]): def drawObj_LEDFlat_slitless(self, led_type_list=['LED1'], exp_t_list=[0.1]):
...@@ -150,7 +193,9 @@ class FlatLED(object): ...@@ -150,7 +193,9 @@ class FlatLED(object):
for i in np.arange(len(led_type_list)): for i in np.arange(len(led_type_list)):
led_type = led_type_list[i] led_type = led_type_list[i]
exp_t = exp_t_list[i] exp_t = exp_t_list[i]
unitFlatImg = self.getLEDImage(led_type=led_type) # unitFlatImg = self.getLEDImage(led_type=led_type)
unitFlatImg = self.getLEDImage1(led_type=led_type)
# print("---------------TEST mem:",np.mean(unitFlatImg))
ledFlat_ = unitFlatImg*exp_t ledFlat_ = unitFlatImg*exp_t
ledFlat_ = ledFlat_ / mirro_eff[self.filt.filter_type] ledFlat_ = ledFlat_ / mirro_eff[self.filt.filter_type]
ledFlat_.astype(np.float32) ledFlat_.astype(np.float32)
......
...@@ -2,6 +2,11 @@ import numpy as np ...@@ -2,6 +2,11 @@ import numpy as np
from ObservationSim.MockObject import FlatLED from ObservationSim.MockObject import FlatLED
import galsim import galsim
from astropy.time import Time
from datetime import datetime, timezone
import gc
def add_LED_Flat(self, chip, filt, tel, pointing, catalog, obs_param): def add_LED_Flat(self, chip, filt, tel, pointing, catalog, obs_param):
if not hasattr(self, 'h_ext'): if not hasattr(self, 'h_ext'):
...@@ -17,6 +22,7 @@ def add_LED_Flat(self, chip, filt, tel, pointing, catalog, obs_param): ...@@ -17,6 +22,7 @@ def add_LED_Flat(self, chip, filt, tel, pointing, catalog, obs_param):
pf_map = led_flat pf_map = led_flat
self.updateHeaderInfo(header_flag='ext', keys = ['LEDSTAT'], values = [ledstat]) self.updateHeaderInfo(header_flag='ext', keys = ['LEDSTAT'], values = [ledstat])
self.updateHeaderInfo(header_flag='ext', keys = ['LEDT01','LEDT02','LEDT03','LEDT04','LEDT05','LEDT06','LEDT07','LEDT08','LEDT09','LEDT10','LEDT11','LEDT12','LEDT13','LEDT14'], values = letts) self.updateHeaderInfo(header_flag='ext', keys = ['LEDT01','LEDT02','LEDT03','LEDT04','LEDT05','LEDT06','LEDT07','LEDT08','LEDT09','LEDT10','LEDT11','LEDT12','LEDT13','LEDT14'], values = letts)
if obs_param["shutter_effect"] == True: if obs_param["shutter_effect"] == True:
pf_map = pf_map * chip.shutter_img pf_map = pf_map * chip.shutter_img
...@@ -26,4 +32,20 @@ def add_LED_Flat(self, chip, filt, tel, pointing, catalog, obs_param): ...@@ -26,4 +32,20 @@ def add_LED_Flat(self, chip, filt, tel, pointing, catalog, obs_param):
self.updateHeaderInfo(header_flag='ext', keys = ['SHTSTAT','SHTOPEN0','SHTOPEN1','SHTCLOS0','SHTCLOS1'], values = [False,'','','','']) self.updateHeaderInfo(header_flag='ext', keys = ['SHTSTAT','SHTOPEN0','SHTOPEN1','SHTCLOS0','SHTCLOS1'], values = [False,'','','',''])
chip.img = chip.img + pf_map chip.img = chip.img + pf_map
# renew header info
datetime_obs = datetime.utcfromtimestamp(pointing.timestamp)
datetime_obs = datetime_obs.replace(tzinfo=timezone.utc)
t_obs = Time(datetime_obs)
##ccd刷新2s,等待0.5s,开灯后等待0.5s,开始曝光
t_obs_renew = Time(t_obs.mjd - (2.+0.5 +0.5) / 86400., format="mjd")
t_obs_utc = datetime.utcfromtimestamp(np.round(datetime.utcfromtimestamp(t_obs_renew.unix).replace(tzinfo=timezone.utc).timestamp(), 1))
self.updateHeaderInfo(header_flag='prim', keys = ['DATE-OBS'], values = [t_obs_utc.strftime("%Y-%m-%dT%H:%M:%S.%f")[:-5]])
#dark time : 曝光时间+刷新后等带时间0.5s+点亮灯后0.5s+关闭快门时间1.5s+管快门后关灯前0.5+关灯后读出前等待0.5s
self.updateHeaderInfo(header_flag='ext', keys = ['DARKTIME'], values = [0.5+0.5+1.5+0.5+0.5+pointing.exp_time])
gc.collect()
return chip, filt, tel, pointing return chip, filt, tel, pointing
\ No newline at end of file
...@@ -7,6 +7,9 @@ import galsim ...@@ -7,6 +7,9 @@ import galsim
from ObservationSim._util import get_shear_field from ObservationSim._util import get_shear_field
from ObservationSim.PSF import PSFGauss, FieldDistortion, PSFInterp, PSFInterpSLS from ObservationSim.PSF import PSFGauss, FieldDistortion, PSFInterp, PSFInterpSLS
from astropy.time import Time
from datetime import datetime, timezone
def add_objects(self, chip, filt, tel, pointing, catalog, obs_param): def add_objects(self, chip, filt, tel, pointing, catalog, obs_param):
# Get exposure time # Get exposure time
...@@ -59,6 +62,7 @@ def add_objects(self, chip, filt, tel, pointing, catalog, obs_param): ...@@ -59,6 +62,7 @@ def add_objects(self, chip, filt, tel, pointing, catalog, obs_param):
# Get chip WCS # Get chip WCS
if not hasattr(self, 'h_ext'): if not hasattr(self, 'h_ext'):
_, _ = self.prepare_headers(chip=chip, pointing=pointing) _, _ = self.prepare_headers(chip=chip, pointing=pointing)
chip_wcs = galsim.FitsWCS(header = self.h_ext) chip_wcs = galsim.FitsWCS(header = self.h_ext)
# Loop over objects # Loop over objects
...@@ -211,4 +215,19 @@ def add_objects(self, chip, filt, tel, pointing, catalog, obs_param): ...@@ -211,4 +215,19 @@ def add_objects(self, chip, filt, tel, pointing, catalog, obs_param):
chip.img *= flat_normal chip.img *= flat_normal
del flat_normal del flat_normal
# renew header info
datetime_obs = datetime.utcfromtimestamp(pointing.timestamp)
datetime_obs = datetime_obs.replace(tzinfo=timezone.utc)
t_obs = Time(datetime_obs)
##ccd刷新2s,等待0.5s,开始曝光
t_obs_renew = Time(t_obs.mjd - (2.+0.5) / 86400., format="mjd")
t_obs_utc = datetime.utcfromtimestamp(np.round(datetime.utcfromtimestamp(t_obs_renew.unix).replace(tzinfo=timezone.utc).timestamp(), 1))
self.updateHeaderInfo(header_flag='prim', keys = ['DATE-OBS'], values = [t_obs_utc.strftime("%Y-%m-%dT%H:%M:%S.%f")[:-5]])
#dark time : 曝光时间+刷新后等带时间0.5s+关闭快门时间1.5s+管快门后读出前等待0.5s
self.updateHeaderInfo(header_flag='ext', keys = ['DARKTIME'], values = [0.5+1.5+0.5+pointing.exp_time])
return chip, filt, tel, pointing return chip, filt, tel, pointing
\ No newline at end of file
...@@ -3,6 +3,9 @@ import galsim ...@@ -3,6 +3,9 @@ import galsim
from ObservationSim.Straylight import calculateSkyMap_split_g from ObservationSim.Straylight import calculateSkyMap_split_g
from ObservationSim.Instrument import FilterParam from ObservationSim.Instrument import FilterParam
from astropy.time import Time
from datetime import datetime, timezone
def add_sky_background_sci(self, chip, filt, tel, pointing, catalog, obs_param): def add_sky_background_sci(self, chip, filt, tel, pointing, catalog, obs_param):
# Get exposure time # Get exposure time
...@@ -120,4 +123,20 @@ def add_sky_background(self, chip, filt, tel, pointing, catalog, obs_param): ...@@ -120,4 +123,20 @@ def add_sky_background(self, chip, filt, tel, pointing, catalog, obs_param):
chip, filt, tel, pointing = self.add_sky_background_sci(chip, filt, tel, pointing, catalog, obs_param) chip, filt, tel, pointing = self.add_sky_background_sci(chip, filt, tel, pointing, catalog, obs_param)
else: else:
chip, filt, tel, pointing = self.add_sky_flat_calibration(chip, filt, tel, pointing, catalog, obs_param) chip, filt, tel, pointing = self.add_sky_flat_calibration(chip, filt, tel, pointing, catalog, obs_param)
# renew header info
datetime_obs = datetime.utcfromtimestamp(pointing.timestamp)
datetime_obs = datetime_obs.replace(tzinfo=timezone.utc)
t_obs = Time(datetime_obs)
##ccd刷新2s,等待0.5s,开始曝光
t_obs_renew = Time(t_obs.mjd - (2.+0.5) / 86400., format="mjd")
t_obs_utc = datetime.utcfromtimestamp(np.round(datetime.utcfromtimestamp(t_obs_renew.unix).replace(tzinfo=timezone.utc).timestamp(), 1))
self.updateHeaderInfo(header_flag='prim', keys = ['DATE-OBS'], values = [t_obs_utc.strftime("%Y-%m-%dT%H:%M:%S.%f")[:-5]])
#dark time : 曝光时间+刷新后等带时间0.5s+关闭快门时间1.5s+管快门后读出前等待0.5s
self.updateHeaderInfo(header_flag='ext', keys = ['DARKTIME'], values = [0.5+1.5+0.5+pointing.exp_time])
return chip, filt, tel, pointing return chip, filt, tel, pointing
\ No newline at end of file
...@@ -5,6 +5,9 @@ from astropy.io import fits ...@@ -5,6 +5,9 @@ from astropy.io import fits
from ObservationSim.Instrument.Chip import ChipUtils as chip_utils from ObservationSim.Instrument.Chip import ChipUtils as chip_utils
from ObservationSim.Instrument.Chip import Effects from ObservationSim.Instrument.Chip import Effects
from astropy.time import Time
from datetime import datetime, timezone
def add_prescan_overscan(self, chip, filt, tel, pointing, catalog, obs_param): def add_prescan_overscan(self, chip, filt, tel, pointing, catalog, obs_param):
self.chip_output.Log_info("Apply pre/over-scan") self.chip_output.Log_info("Apply pre/over-scan")
chip.img = chip_utils.AddPreScan(GSImage=chip.img, chip.img = chip_utils.AddPreScan(GSImage=chip.img,
...@@ -42,7 +45,17 @@ def quantization_and_output(self, chip, filt, tel, pointing, catalog, obs_param) ...@@ -42,7 +45,17 @@ def quantization_and_output(self, chip, filt, tel, pointing, catalog, obs_param)
if not hasattr(self, 'h_ext'): if not hasattr(self, 'h_ext'):
_, _ = self.prepare_headers(chip=chip, pointing=pointing) _, _ = self.prepare_headers(chip=chip, pointing=pointing)
self.updateHeaderInfo(header_flag='ext', keys = ['SHTSTAT','SHTOPEN0','SHTOPEN1','SHTCLOS0','SHTCLOS1'], values = [False,'','','','']) self.updateHeaderInfo(header_flag='ext', keys = ['SHTSTAT','SHTOPEN0','SHTOPEN1','SHTCLOS0','SHTCLOS1','EXPTIME'], values = [False,'','','','',0.0])
# renew header info
datetime_obs = datetime.utcfromtimestamp(pointing.timestamp)
datetime_obs = datetime_obs.replace(tzinfo=timezone.utc)
t_obs = Time(datetime_obs)
##ccd刷新2s,等待0.5s,开灯后等待0.5s,开始曝光
t_obs_renew = Time(t_obs.mjd - 2. / 86400., format="mjd")
t_obs_utc = datetime.utcfromtimestamp(np.round(datetime.utcfromtimestamp(t_obs_renew.unix).replace(tzinfo=timezone.utc).timestamp(), 1))
self.updateHeaderInfo(header_flag='prim', keys = ['DATE-OBS'], values = [t_obs_utc.strftime("%Y-%m-%dT%H:%M:%S.%f")[:-5]])
gains1 = list(chip.gain_channel[0:8]) gains1 = list(chip.gain_channel[0:8])
gains2 = list(chip.gain_channel[8:]) gains2 = list(chip.gain_channel[8:])
......
---
###############################################
#
# Configuration file for CSST simulation
# Overall settings
# CSST-Sim Group, 2024/01/08
#
###############################################
# 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: "/home/zhangxin/CSST_SIM/CSST_sim_scheduler/"
run_name: "QSO_50sqdeg_test"
# Project cycle and run counter are used to name the outputs
project_cycle: 9
run_counter: 1
# Run options
run_option:
use_mpi: NO
# Output catalog only?
# If yes, no imaging simulation will be run. Only the catalogs
# of corresponding footprints will be generated.
out_cat_only: NO
###############################################
# Catalog setting
###############################################
# Configure the input catalog: options should be implemented
# in the corresponding (user defined) 'Catalog' class
catalog_options:
input_path:
cat_dir: "/nfsdata/share/CSSOSDataProductsSims/data/Catalog_C6_20221212/"
star_cat: "star_catalog/"
# galaxy_cat: "qsocat/cat2CSSTSim_bundle-50sqDeg/"
SED_templates_path:
star_SED: "/nfsdata/share/CSSOSDataProductsSims/data/Catalog_C6_20221212/star_catalog/"
# galaxy_SED: "/public/share/yangxuliu/CSSOSDataProductsSims/data_50sqDeg/sedlibs/"
# AGN_SED: "/public/share/yangxuliu/CSSOSDataProductsSims/data_50sqDeg/qsocat/qsosed/"
# Only simulate stars?
star_only: YES
# Only simulate galaxies?
galaxy_only: NO
###############################################
# Observation setting
###############################################
obs_setting:
# (Optional) a file of point list
# if you just want to run default pointing:
# - pointing_dir: null
# - pointing_file: null
pointing_file: "/nfsdata/share/CSSOSDataProductsSims/data/pointing_50_1_n.dat"
obs_config_file: "/home/zhangxin/CSST_SIM/CSST_sim_scheduler/csst-simulation/config/obs_config_SCI_WIDE_phot.yaml"
# Run specific pointing(s):
# - give a list of indexes of pointings: [ip_1, ip_2...]
# - run all pointings: null
# Note: only valid when a pointing list is specified
run_pointings: [1]
# Whether to enable astrometric modeling
enable_astrometric_model: NO
# Cut by saturation magnitude in which band?
cut_in_band: "z"
# saturation magnitude margin
mag_sat_margin: -2.5
# mag_sat_margin: -15.
# limiting magnitude margin
mag_lim_margin: +1.0
###############################################
# PSF setting
###############################################
psf_setting:
# Which PSF model to use:
# "Gauss": simple gaussian profile
# "Interp": Interpolated PSF from sampled ray-tracing data
psf_model: "Interp"
# PSF size [arcseconds]
# radius of 80% energy encircled
# NOTE: only valid for "Gauss" PSF
# psf_rcont: 0.15
# path to PSF data
# NOTE: only valid for "Interp" PSF
# PSF models for photometry survey simulation
psf_pho_dir: "/nfsdata/share/CSSOSDataProductsSims/data/psfCube1"
# PSF models for slitless spectrum survey simulation
psf_sls_dir: "/nfsdata/share/CSSOSDataProductsSims/data/SLS_PSF_PCA_fp/"
###############################################
# Shear setting
###############################################
shear_setting:
# Options to generate mock shear field:
# "constant": all galaxies are assigned a constant reduced shear
# "catalog": get shear values from catalog
shear_type: "constant"
# For constant shear field
reduced_g1: 0.
reduced_g2: 0.
###############################################
# Output options
###############################################
output_setting:
output_format: "channels" # Whether to export as 16 channels (subimages) with pre- and over-scan ("image"/"channels")
shutter_output: NO # Whether to export shutter effect 16-bit image
prnu_output: NO # Whether to export the PRNU (pixel-to-pixel flat-fielding) files
###############################################
# Random seeds
###############################################
random_seeds:
seed_poisson: 20210601 # Seed for Poisson noise
seed_CR: 20210317 # Seed for generating random cosmic ray maps
seed_flat: 20210101 # Seed for generating random flat fields
seed_prnu: 20210102 # Seed for photo-response non-uniformity
seed_gainNonUniform: 20210202 # Seed for gain nonuniformity
seed_biasNonUniform: 20210203 # Seed for bias nonuniformity
seed_rnNonUniform: 20210204 # Seed for readout-noise nonuniformity
seed_badcolumns: 20240309 # Seed for bad columns
seed_defective: 20210304 # Seed for defective (bad) pixels
seed_readout: 20210601 # Seed for read-out gaussian noise
...
\ No newline at end of file
...@@ -80,7 +80,7 @@ setup(name='CSSTSim', ...@@ -80,7 +80,7 @@ setup(name='CSSTSim',
'ObservationSim.Instrument.data.throughputs': ['*.txt', '*.dat'], 'ObservationSim.Instrument.data.throughputs': ['*.txt', '*.dat'],
'ObservationSim.Instrument.data.sls_conf': ['*.conf', '*.fits'], 'ObservationSim.Instrument.data.sls_conf': ['*.conf', '*.fits'],
'ObservationSim.Instrument.data.flatCube': ['*.fits'], 'ObservationSim.Instrument.data.flatCube': ['*.fits'],
'Catalog.data': ['*.fits'], 'Catalog.data': ['*.fits','*.so'],
'ObservationSim.Config.Header':['*.header','*.lst'], 'ObservationSim.Config.Header':['*.header','*.lst'],
'ObservationSim.Straylight.data': ['*.dat'], 'ObservationSim.Straylight.data': ['*.dat'],
'ObservationSim.Straylight.data.sky': ['*.dat'], 'ObservationSim.Straylight.data.sky': ['*.dat'],
......
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