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Commit fd6c3108 authored by Fang Yuedong's avatar Fang Yuedong Committed by Zhang Xin
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Release v2.0

parent ca7fb5db
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run_NGP.pbs
View file @ fd6c3108
#!/bin/bash
#PBS -N SIMS
#PBS -l nodes=wcl-1:ppn=8+wcl-2:ppn=8+wcl-3:ppn=8+wcl-4:ppn=8+wcl-5:ppn=8+wcl-6:ppn=8
#PBS -l nodes=wcl-1:ppn=16+wcl-2:ppn=16+wcl-3:ppn=16+wcl-4:ppn=16+wcl-5:ppn=16+wcl-6:ppn=16
#PBS -u fangyuedong
###PBS -j oe
cd $PBS_O_WORKDIR
NP=32
NP=96
date
echo $NP
# mpirun -np $NP python /public/home/fangyuedong/test/CSST/run_sim.py config_NGP.yaml -c /public/home/fangyuedong/test/CSST/config
mpirun -np $NP python3 /share/home/fangyuedong/test_psf_rot/csst-simulation/run_sim.py config_NGP_dev.yaml -c /share/home/fangyuedong/test_psf_rot/csst-simulation/config
mpirun -np $NP python3 /share/home/fangyuedong/fgs_sim/csst-simulation/run_sim.py \
--config_file config_NGP.yaml \
--catalog NGPCatalog \
-c /share/home/fangyuedong/fgs_sim/csst-simulation/config
run_fgs.pbs 0 → 100755
View file @ fd6c3108
#!/bin/bash
#PBS -N SIMS
#PBS -l nodes=wcl-1:ppn=12
###PBS -l nodes=wcl-1:ppn=24+wcl-2:ppn=24+wcl-3:ppn=24+wcl-4:ppn=24+wcl-5:ppn=24+wcl-6:ppn=24
#PBS -u fangyuedong
###PBS -j oe
cd $PBS_O_WORKDIR
NP=40
date
mpirun -np $NP python3 /share/home/fangyuedong/fgs_sim/csst-simulation/run_sim.py \
--config_file config_fgs.yaml \
--catalog FGS_Catalog \
-c /share/home/fangyuedong/fgs_sim/csst-simulation/config
run_sim.py
View file @ fd6c3108
......@@ -5,11 +5,12 @@ import os
import yaml
import shutil
import datetime
import importlib
import gc
gc.enable()
def run_sim(Catalog):
def run_sim():
"""
Main method for simulation call.
......@@ -63,7 +64,7 @@ def run_sim(Catalog):
# "config['obs_setting']['np_cal']"" is the number of CAL pointings which will be
# appended to the front.
# NOTE: the implementation of gerenating time_stamps is temporary.
pointing_list = generate_pointing_list(config=config, pointing_filename=config['pointing_file'], data_dir=config['pointing_dir'])
pointing_list = generate_pointing_list(config=config, pointing_filename=config['obs_setting']['pointing_file'], data_dir=config['obs_setting']['pointing_dir'])
# Make the main output directories
run_dir = make_run_dirs(work_dir=config['work_dir'], run_name=config['run_name'], pointing_list=pointing_list)
......@@ -82,7 +83,8 @@ def run_sim(Catalog):
config_out.write("###############################################\n")
# Initialize the simulation
obs = Observation(config=config, Catalog=Catalog, work_dir=config['work_dir'], data_dir=config['data_dir'])
catalog_module = importlib.import_module('Catalog.'+args.catalog)
obs = Observation(config=config, Catalog=catalog_module.Catalog, work_dir=config['work_dir'], data_dir=config['data_dir'])
# Run simulation
obs.runExposure_MPI_PointingList(
......@@ -91,14 +93,4 @@ def run_sim(Catalog):
chips=config["obs_setting"]["run_chips"])
if __name__=='__main__':
# To run with the example input catalog
# from Catalog.Catalog_example import Catalog_example
# run_sim(Catalog=Catalog_example)
# # To run cycle-3 simulation
# from Catalog.C3Catalog import C3Catalog
# run_sim(Catalog=C3Catalog)
# To run calibration field NGP simulation
from Catalog.NGPCatalog import NGPCatalog
run_sim(Catalog=NGPCatalog)
run_sim()
setup.py
View file @ fd6c3108
......@@ -26,7 +26,7 @@ extensions = [
setup(name='CSSTSim',
version='1.0.5',
version='2.0.0',
packages=find_packages(),
install_requires=[
'numpy>=1.18.5',
......@@ -44,13 +44,15 @@ setup(name='CSSTSim',
package_data = {
'ObservationSim.Astrometry.lib': ['libshao.so'],
'ObservationSim.MockObject.data': ['*.dat'],
'ObservationSim.Instrument.data': ['*.txt', '*.dat'],
'ObservationSim.Instrument.data': ['*.txt', '*.dat', '*.json'],
'ObservationSim.Instrument.data.field_distortion': ['*.pickle'],
'ObservationSim.Instrument.data.ccd': ['*.txt'],
'ObservationSim.Instrument.data.filters': ['*.txt', '*.list', '*.dat'],
'ObservationSim.Instrument.data.throughputs': ['*.txt', '*.dat'],
'ObservationSim.Instrument.data.sls_conf': ['*.conf', '*.fits'],
'ObservationSim.Instrument.data.flatCube': ['*.fits'],
'Catalog.data': ['*.fits'],
'ObservationSim.Config.Header':['*.header','*.lst'],
},
ext_modules = cythonize(extensions),
)
test_C6.sh 0 → 100755
View file @ fd6c3108
#!/bin/bash
date
python3 /share/home/fangyuedong/fgs_sim/csst-simulation/run_sim.py \
--config_file config_C6.yaml \
--catalog C6_Catalog \
-c /share/home/fangyuedong/fgs_sim/csst-simulation/config
test_fgs.sh 0 → 100755
View file @ fd6c3108
#!/bin/bash
date
python3 /share/home/fangyuedong/fgs_sim/csst-simulation/run_sim.py \
--config_file config_fgs.yaml \
--catalog FGS_Catalog \
-c /share/home/fangyuedong/fgs_sim/csst-simulation/config
\ No newline at end of file
tests/TestSpecDisperse.py
View file @ fd6c3108
import unittest
from ObservationSim.MockObject.SpecDisperser import rotate90, SpecDisperser
from ObservationSim.Config import ConfigDir, ReadConfig, ChipOutput
from ObservationSim.Config import ChipOutput, Config
from ObservationSim.Instrument import Telescope, Chip, FilterParam, Filter, FocalPlane
from ObservationSim.MockObject import MockObject, Star
from ObservationSim.PSF import PSFGauss
......@@ -15,6 +15,36 @@ import matplotlib.pyplot as plt
from lmfit.models import LinearModel, GaussianModel
from ObservationSim.Config.Header import generateExtensionHeader
import math
import yaml
def getAngle132(x1=0, y1=0, z1=0, x2=0, y2=0, z2=0, x3=0, y3=0, z3=0):
cosValue = 0;
angle = 0;
x11 = x1 - x3;
y11 = y1 - y3;
z11 = z1 - z3;
x22 = x2 - x3;
y22 = y2 - y3;
z22 = z2 - z3;
tt = np.sqrt((x11 * x11 + y11 * y11 + z11 * z11) * (x22 * x22 + y22 * y22 + z22 * z22));
if (tt == 0):
return 0;
cosValue = (x11 * x22 + y11 * y22 + z11 * z22) / tt;
if (cosValue > 1):
cosValue = 1;
if (cosValue < -1):
cosValue = -1;
angle = math.acos(cosValue);
return angle * 360 / (2 * math.pi);
def fit_SingleGauss(xX, yX, contmX, iHa0):
background = LinearModel(prefix='line_')
......@@ -25,7 +55,7 @@ def fit_SingleGauss(xX, yX, contmX, iHa0):
pars.update(gauss.make_params())
pars['g_center'].set(iHa0, min=iHa0 - 3, max=iHa0 + 3)
pars['g_amplitude'].set(50, min=0)
pars['g_sigma'].set(12, min=0.01)
pars['g_sigma'].set(12, min=0.0001)
mod = gauss + background
init = mod.eval(pars, x=xX)
......@@ -54,7 +84,7 @@ def fit_SingleGauss(xX, yX, contmX, iHa0):
return sigmaX, err_sigmaX, fwhmX, err_fwhmX, centerX, err_centerX
def produceObj(x,y,chip):
def produceObj(x,y,chip, ra, dec, pa):
pos_img = galsim.PositionD(chip.bound.xmin + x, chip.bound.ymin + y)
param = {}
......@@ -69,7 +99,22 @@ def produceObj(x,y,chip):
obj = Star(param)
pos_img, offset, local_wcs = obj.getPosImg_Offset_WCS(img=chip.img, chip=chip)
header_wcs = generateExtensionHeader(
xlen=chip.npix_x,
ylen=chip.npix_y,
ra=ra,
dec=dec,
pa=pa,
gain=chip.gain,
readout=chip.read_noise,
dark=chip.dark_noise,
saturation=90000,
psize=chip.pix_scale,
row_num=chip.rowID,
col_num=chip.colID,
extName='raw')
pos_img, offset, local_wcs, _ = obj.getPosImg_Offset_WCS(img=chip.img, chip=chip, img_header=header_wcs)
wave = np.arange(2500, 11000.5, 0.5)
# sedLen = wave.shape[0]
flux = pow(wave, -2) * 1e8
......@@ -346,28 +391,37 @@ class TestSpecDisperse(unittest.TestCase):
work_dir = "/public/home/fangyuedong/CSST_unittest/CSST/test/"
# data_dir = "/Volumes/Extreme SSD/SimData/"
data_dir = "/data/simudata/CSSOSDataProductsSims/data/"
path_dict = ConfigDir(work_dir=work_dir, data_dir=data_dir)
config = ReadConfig(path_dict["config_file"])
filter_param = FilterParam(filter_dir=path_dict["filter_dir"])
focal_plane = FocalPlane(survey_type=config["survey_type"])
chip = Chip(1, ccdEffCurve_dir=path_dict["ccd_dir"], CRdata_dir=path_dict["CRdata_dir"],
normalize_dir=path_dict["normalize_dir"], sls_dir=path_dict["sls_dir"],
config=config)
configFn = '/Users/zhangxin/Work/SlitlessSim/CSST_SIM/CSST_C6/csst-simulation/config/config_C6.yaml'
normFilterFn = "/Users/zhangxin/Work/SlitlessSim/CSST_SIM/CSST_C6/csst-simulation/Catalog/data/SLOAN_SDSS.g.fits"
norm_star = Table.read(normFilterFn)
with open(configFn, "r") as stream:
try:
config = yaml.safe_load(stream)
for key, value in config.items():
print(key + " : " + str(value))
except yaml.YAMLError as exc:
print(exc)
# config = Config.read_config(configFn)
# path_dict = Config.config_dir(config,work_dir=work_dir, data_dir=data_dir)
filter_param = FilterParam()
focal_plane = FocalPlane(survey_type=config["obs_setting"]["survey_type"])
chip = Chip(1, config=config)
filter_id, filter_type = chip.getChipFilter()
filt = Filter(filter_id=filter_id, filter_type=filter_type, filter_param=filter_param,
ccd_bandpass=chip.effCurve)
tel = Telescope(optEffCurve_path=path_dict["mirror_file"])
tel = Telescope()
psf_model = PSFGauss(chip=chip)
wcs_fp = focal_plane.getTanWCS(config["ra_center"], config["dec_center"], config["image_rot"], chip.pix_scale)
wcs_fp = focal_plane.getTanWCS(float(config["obs_setting"]["ra_center"]), float(config["obs_setting"]["dec_center"]), float(config["obs_setting"]["image_rot"]) * galsim.degrees, chip.pix_scale)
chip.img = galsim.ImageF(chip.npix_x, chip.npix_y)
chip.img.setOrigin(chip.bound.xmin, chip.bound.ymin)
chip.img.wcs = wcs_fp
obj, pos_img = produceObj(2000,4500, chip)
obj, pos_img = produceObj(2000,4500, chip,float(config["obs_setting"]["ra_center"]), float(config["obs_setting"]["dec_center"]), float(config["obs_setting"]["image_rot"]))
obj.drawObj_slitless(
tel=tel,
pos_img=pos_img,
......@@ -378,9 +432,9 @@ class TestSpecDisperse(unittest.TestCase):
g1=0,
g2=0,
exptime=150,
normFilter=chip.normF_star)
normFilter=norm_star)
obj, pos_img = produceObj(3685, 6500, chip)
obj, pos_img = produceObj(3685, 6500, chip,float(config["obs_setting"]["ra_center"]), float(config["obs_setting"]["dec_center"]), float(config["obs_setting"]["image_rot"]))
obj.drawObj_slitless(
tel=tel,
pos_img=pos_img,
......@@ -391,9 +445,9 @@ class TestSpecDisperse(unittest.TestCase):
g1=0,
g2=0,
exptime=150,
normFilter=chip.normF_star)
normFilter=norm_star)
obj, pos_img = produceObj(5000, 2500, chip)
obj, pos_img = produceObj(5000, 2500, chip, float(config["obs_setting"]["ra_center"]), float(config["obs_setting"]["dec_center"]), float(config["obs_setting"]["image_rot"]))
obj.drawObj_slitless(
tel=tel,
pos_img=pos_img,
......@@ -404,7 +458,7 @@ class TestSpecDisperse(unittest.TestCase):
g1=0,
g2=0,
exptime=150,
normFilter=chip.normF_star)
normFilter=norm_star)
print('Spec double disperse test')
from astropy.io import fits
......@@ -414,11 +468,208 @@ class TestSpecDisperse(unittest.TestCase):
# plt.imshow(chip.img.array)
# plt.show()
def test_SLSImage_rotation(self):
from astropy.wcs import WCS
configFn = '/Users/zhangxin/Work/SlitlessSim/CSST_SIM/CSST_C6/csst-simulation/config/config_C6.yaml'
with open(configFn, "r") as stream:
try:
config = yaml.safe_load(stream)
for key, value in config.items():
print(key + " : " + str(value))
except yaml.YAMLError as exc:
print(exc)
chip = Chip(1, config=config)
ra=float(config["obs_setting"]["ra_center"])
dec=float(config["obs_setting"]["dec_center"])
pa=float(config["obs_setting"]["image_rot"])
header_wcs1 = generateExtensionHeader(
xlen=chip.npix_x,
ylen=chip.npix_y,
ra=ra,
dec=dec,
pa=pa,
gain=chip.gain,
readout=chip.read_noise,
dark=chip.dark_noise,
saturation=90000,
psize=chip.pix_scale,
row_num=chip.rowID,
col_num=chip.colID,
extName='raw', center_rot=0)
center = np.array([chip.npix_x / 2, chip.npix_y / 2])
h_wcs1 = WCS(header_wcs1)
x1, y1 = center + [100,0]
sky_1 = h_wcs1.pixel_to_world(x1,y1)
rot_angle = 1
header_wcs2 = generateExtensionHeader(
xlen=chip.npix_x,
ylen=chip.npix_y,
ra=ra,
dec=dec,
pa=pa,
gain=chip.gain,
readout=chip.read_noise,
dark=chip.dark_noise,
saturation=90000,
psize=chip.pix_scale,
row_num=chip.rowID,
col_num=chip.colID,
extName='raw', center_rot=rot_angle)
h_wcs2 = WCS(header_wcs2)
x2, y2 = h_wcs2.world_to_pixel(sky_1)
angle = getAngle132(x1,y1,0,x2,y2,0,center[0],center[1],0)
print(angle)
self.assertTrue(rot_angle - angle < np.abs(0.001))
rot_angle = 10
header_wcs2 = generateExtensionHeader(
xlen=chip.npix_x,
ylen=chip.npix_y,
ra=ra,
dec=dec,
pa=pa,
gain=chip.gain,
readout=chip.read_noise,
dark=chip.dark_noise,
saturation=90000,
psize=chip.pix_scale,
row_num=chip.rowID,
col_num=chip.colID,
extName='raw', center_rot=rot_angle)
h_wcs2 = WCS(header_wcs2)
x2, y2 = h_wcs2.world_to_pixel(sky_1)
angle = getAngle132(x1, y1, 0, x2, y2, 0, center[0], center[1], 0)
print(angle)
self.assertTrue(rot_angle - angle < np.abs(0.001))
rot_angle = 50
header_wcs2 = generateExtensionHeader(
xlen=chip.npix_x,
ylen=chip.npix_y,
ra=ra,
dec=dec,
pa=pa,
gain=chip.gain,
readout=chip.read_noise,
dark=chip.dark_noise,
saturation=90000,
psize=chip.pix_scale,
row_num=chip.rowID,
col_num=chip.colID,
extName='raw', center_rot=rot_angle)
h_wcs2 = WCS(header_wcs2)
x2, y2 = h_wcs2.world_to_pixel(sky_1)
angle = getAngle132(x1, y1, 0, x2, y2, 0, center[0], center[1], 0)
print(angle)
self.assertTrue(rot_angle - angle < np.abs(0.001))
chip = Chip(27, config=config)
ra = float(config["obs_setting"]["ra_center"])
dec = float(config["obs_setting"]["dec_center"])
pa = float(config["obs_setting"]["image_rot"])
header_wcs1 = generateExtensionHeader(
xlen=chip.npix_x,
ylen=chip.npix_y,
ra=ra,
dec=dec,
pa=pa,
gain=chip.gain,
readout=chip.read_noise,
dark=chip.dark_noise,
saturation=90000,
psize=chip.pix_scale,
row_num=chip.rowID,
col_num=chip.colID,
extName='raw', center_rot=0)
center = np.array([chip.npix_x / 2, chip.npix_y / 2])
h_wcs1 = WCS(header_wcs1)
x1, y1 = center + [100, 0]
sky_1 = h_wcs1.pixel_to_world(x1, y1)
rot_angle = 1
header_wcs2 = generateExtensionHeader(
xlen=chip.npix_x,
ylen=chip.npix_y,
ra=ra,
dec=dec,
pa=pa,
gain=chip.gain,
readout=chip.read_noise,
dark=chip.dark_noise,
saturation=90000,
psize=chip.pix_scale,
row_num=chip.rowID,
col_num=chip.colID,
extName='raw', center_rot=rot_angle)
h_wcs2 = WCS(header_wcs2)
x2, y2 = h_wcs2.world_to_pixel(sky_1)
angle = getAngle132(x1, y1, 0, x2, y2, 0, center[0], center[1], 0)
print(angle)
self.assertTrue(rot_angle - angle < np.abs(0.001))
rot_angle = 10
header_wcs2 = generateExtensionHeader(
xlen=chip.npix_x,
ylen=chip.npix_y,
ra=ra,
dec=dec,
pa=pa,
gain=chip.gain,
readout=chip.read_noise,
dark=chip.dark_noise,
saturation=90000,
psize=chip.pix_scale,
row_num=chip.rowID,
col_num=chip.colID,
extName='raw', center_rot=rot_angle)
h_wcs2 = WCS(header_wcs2)
x2, y2 = h_wcs2.world_to_pixel(sky_1)
angle = getAngle132(x1, y1, 0, x2, y2, 0, center[0], center[1], 0)
print(angle)
self.assertTrue(rot_angle - angle < np.abs(0.001))
rot_angle = 50
header_wcs2 = generateExtensionHeader(
xlen=chip.npix_x,
ylen=chip.npix_y,
ra=ra,
dec=dec,
pa=pa,
gain=chip.gain,
readout=chip.read_noise,
dark=chip.dark_noise,
saturation=90000,
psize=chip.pix_scale,
row_num=chip.rowID,
col_num=chip.colID,
extName='raw', center_rot=rot_angle)
h_wcs2 = WCS(header_wcs2)
x2, y2 = h_wcs2.world_to_pixel(sky_1)
angle = getAngle132(x1, y1, 0, x2, y2, 0, center[0], center[1], 0)
print(angle)
self.assertTrue(rot_angle - angle < np.abs(0.001))
if __name__ == '__main__':
conff='/data/simudata/CSSOSDataProductsSims/data/CONF/CSST_GI2.conf'
throughputf='/data/simudata/CSSOSDataProductsSims/data/CONF/GI.Throughput.1st.fits'
conff='/Users/zhangxin/Work/SlitlessSim/CSST_SIM/CSST_C6/csst-simulation/ObservationSim/Instrument/data/sls_conf/CSST_GI2.conf'
throughputf='/Users/zhangxin/Work/SlitlessSim/CSST_SIM/CSST_C6/csst-simulation/ObservationSim/Instrument/data/sls_conf/GI.Throughput.1st.fits'
suit = unittest.TestSuite()
case1 = TestSpecDisperse('test_Specdistperse1',conff,throughputf)
......@@ -429,6 +680,8 @@ if __name__ == '__main__':
suit.addTest(case3)
case4 = TestSpecDisperse('test_double_disperse', conff, throughputf)
suit.addTest(case4)
case5 = TestSpecDisperse('test_SLSImage_rotation')
suit.addTest(case5)
unittest.TextTestRunner(verbosity=2).run(suit)
# runner = unittest.TextTestRunner()
......
tools/create_chip_json.py 0 → 100644
View file @ fd6c3108
import json
import os
import shutil
chip_filename = 'chip_definition.json'
# chip_list = {}
# chip_id = "39"
# chip_dict= {
# "chip_name": "FGS3-D1",
# "pix_size": 7.5e-3, # [mm]
# "pix_scale": 0.0555, # [arcsec/pix]
# "npix_x": 11264,
# "npix_y": 7680,
# "x_cen": -273.35, # [mm]
# "y_cen": 211.36, # [mm]
# "rotate_angle": 90. # [deg]
# }
# chip_list[chip_id] = chip_dict
def get_chip_row_col_main_fp(chip_id):
rowID = ((chip_id - 1) % 5) + 1
colID = 6 - ((chip_id - 1) // 5)
return rowID, colID
def get_chip_center_main_fp(chip_id, pixel_size=1e-2):
row, col = get_chip_row_col_main_fp(chip_id)
npix_x = 9216
npix_y = 9232
gx1, gx2 = (534, 1309)
gy = 898
nchip_x = 6
nchip_y = 5
xrem = 2*(col - 1) - (nchip_x - 1)
xcen = (npix_x//2 + gx1//2) * xrem
if chip_id >= 26 or chip_id == 21:
xcen = (npix_x//2 + gx1//2) * xrem - (gx2-gx1)
if chip_id <= 5 or chip_id == 10:
xcen = (npix_x//2 + gx1//2) * xrem + (gx2-gx1)
# ylim of a given CCD chip
yrem = (row - 1) - nchip_y // 2
ycen = (npix_y + gy) * yrem
return xcen * pixel_size, ycen * pixel_size
def create_chip_dict_main_fp(chip_id, pixel_size=1e-2):
filter_list = ["GV", "GI", "y", "z", "y", "GI", "GU", "r", "u", "NUV", "i", "GV", "GU", "g", "NUV", "NUV", "g", "GU", "GV", "i", "NUV", "u", "r", "GU", "GI", "y", "z", "y", "GI", "GV"]
chip_label_list = [3,3,3,1,1,1,3,2,2,1,1,1,4,2,3,2,1,1,4,2,4,1,1,2,4,2,2,4,2,2]
chip_id_list = [26, 21, 16, 11, 6, 1, 27, 22, 17, 12, 7, 2, 28, 23, 18, 13, 8, 3, 29, 24, 19, 14, 9, 4, 30, 25, 20, 15, 10, 5]
npix_x = 9216
npix_y = 9232
idx = chip_id_list.index(chip_id)
chip_name = filter_list[idx] + "-" + str(chip_label_list[idx])
xcen, ycen = get_chip_center_main_fp(chip_id, pixel_size)
row, col = get_chip_row_col_main_fp(chip_id)
rotate_angle = 0.
if filter_list[idx] in ['GU', 'GV', 'GI']:
rotate_angle = 1.
if col > 2:
rotate_angle = -1. * rotate_angle
chip_dict = {
"chip_name": chip_name,
"pix_size": 1e-2, # [mm]
"pix_scale": 0.074, # [arcsec/pix]
"npix_x": npix_x,
"npix_y": npix_y,
"x_cen": xcen, # [mm]
"y_cen": ycen, # [mm]
"rotate_angle": rotate_angle, # [deg]
"n_psf_samples": 900,
"dark_exptime": 300,
"flat_exptime": 150,
"readout_time": 40,
"df_strength": 2.3,
"bias_level": 500,
"gain": 1.1,
"full_well": 90000
}
return chip_dict
def set_fgs_chips(filepath):
with open(filepath, "r") as f:
data = json.load(f)
for i in range(12):
chip_id = str(31 + i)
data[chip_id]["dark_exptime"] = 300.
data[chip_id]["falt_exptime"] = 150.
data[chip_id]["readout_time"] = 0.01
data[chip_id]["df_strength"] = 2.3
data[chip_id]["bias_level"] = 2000.
data[chip_id]["gain"] = 1.
data[chip_id]["full_well"] = 90000
with open(filepath, "w") as f:
json.dump(data, f, indent=4)
def add_main_fp(filepath):
for i in range(30):
chip_id = i + 1
chip_dict = create_chip_dict_main_fp(chip_id)
add_dict_to_json(filepath, str(chip_id), chip_dict)
def add_dict_to_json(filepath, key, value):
with open(filepath, 'r') as f:
data = json.load(f)
data[key] = value
with open(filepath, "w") as f:
json.dump(data, f, indent=4)
if __name__=="__main__":
src = "../ObservationSim/Instrument/data/ccd/chip_definition.json"
shutil.copy(src, chip_filename)
add_main_fp(chip_filename)
set_fgs_chips(chip_filename)
\ No newline at end of file
tools/get_pointing.py 0 → 100755
View file @ fd6c3108
# NAME:
# get_pointing
# PURPOSE:
# Return the pointing of CSST from a given [ra, dec]
# CALLING:
# pointing = findPointingbyChipID(chipID=tchip, ra=tra, dec=tdec)
# INPUTS:
# chipID - chip-# of CSST, int
# ra - Right ascension in decimal degrees, float
# dec- Declination in decimal degrees, float
# OUTPUTS:
# pointing - [ra_center, dec_center, image_rot]
# HISTORY:
# Written by Xin Zhang, 23 Apr. 2023
# Included by csst-simulation, C.W. 25 Apr. 2023
#
#
from tkinter.tix import INTEGER
import astropy.coordinates as coord
from astropy import units as u
from pylab import *
import numpy as np
import galsim
import math
# from numba import jit
class Chip(object):
def __init__(self, chipID):
self.chipID = chipID
self.nchip_x = 6
self.nchip_y = 5
self.npix_tot_x = 59516
self.npix_tot_y = 49752
self.npix_gap_x = (534, 1309)
self.npix_gap_y = 898
self.cen_pix_x = 0
self.cen_pix_y = 0
self.npix_x = 9216
self.npix_y = 9232
self.pix_scale = 0.074
def getTanWCS(self, ra, dec, img_rot, pix_scale = None, xcen=None, ycen=None, logger=None):
""" Get the WCS of the image mosaic using Gnomonic/TAN projection
Parameter:
ra, dec: float
(RA, Dec) of pointing of optical axis
img_rot: galsim Angle object
Rotation of image
pix_scale: float
Pixel size in unit of as/pix
Returns:
WCS of the focal plane
"""
if logger is not None:
logger.info(" Construct the wcs of the entire image mosaic using Gnomonic/TAN projection")
if (xcen == None) or (ycen == None):
xcen = self.cen_pix_x
ycen = self.cen_pix_y
if pix_scale == None:
pix_scale = self.pix_scale
dudx = -np.cos(img_rot.rad) * pix_scale
dudy = -np.sin(img_rot.rad) * pix_scale
dvdx = -np.sin(img_rot.rad) * pix_scale
dvdy = +np.cos(img_rot.rad) * pix_scale
# dudx = +np.sin(img_rot.rad) * pix_scale
# dudy = +np.cos(img_rot.rad) * pix_scale
# dvdx = -np.cos(img_rot.rad) * pix_scale
# dvdy = +np.sin(img_rot.rad) * pix_scale
moscen = galsim.PositionD(x=xcen, y=ycen)
sky_center = galsim.CelestialCoord(ra=ra*galsim.degrees, dec=dec*galsim.degrees)
affine = galsim.AffineTransform(dudx, dudy, dvdx, dvdy, origin=moscen)
WCS = galsim.TanWCS(affine, sky_center, units=galsim.arcsec)
return WCS
def getChipRowCol(self, chipID):
rowID = ((chipID - 1) % 5) + 1
colID = 6 - ((chipID - 1) // 5)
return rowID, colID
def getChipCenter(self):
"""Calculate the edges in pixel for a given CCD chip on the focal plane
NOTE: There are 5*4 CCD chips in the focus plane for photometric observation.
Parameters:
chipID: int
the index of the chip
Returns:
A galsim BoundsD object
"""
chipID = self.chipID
rowID, colID = self.getChipRowCol(chipID)
gx1, gx2 = self.npix_gap_x
gy = self.npix_gap_y
# xlim of a given CCD chip
xrem = 2*(colID - 1) - (self.nchip_x - 1)
xcen = (self.npix_x//2 + gx1//2) * xrem
if chipID >= 26 or chipID == 21:
xcen = (self.npix_x//2 + gx1//2) * xrem - (gx2-gx1)
if chipID <= 5 or chipID == 10:
xcen = (self.npix_x//2 + gx1//2) * xrem + (gx2-gx1)
# nx0 = xcen - self.npix_x//2 + 1
# nx1 = xcen + self.npix_x//2
# ylim of a given CCD chip
yrem = (rowID - 1) - self.nchip_y // 2
ycen = (self.npix_y + gy) * yrem
# ny0 = ycen - self.npix_y//2 + 1
# ny1 = ycen + self.npix_y//2
return galsim.PositionD(xcen, ycen)
def transRaDec2D(ra, dec):
x1 = np.cos(dec / 57.2957795) * np.cos(ra / 57.2957795);
y1 = np.cos(dec / 57.2957795) * np.sin(ra / 57.2957795);
z1 = np.sin(dec / 57.2957795);
return np.array([x1, y1, z1])
def getobsPA(ra, dec):
l1 = np.array([0,0,1])
l2 = transRaDec2D(ra, dec)
polar_ec = coord.SkyCoord(0*u.degree, 90*u.degree,frame='barycentrictrueecliptic')
polar_eq = polar_ec.transform_to('icrs')
# print(polar_eq.ra.value,polar_eq.dec.value)
polar_d = transRaDec2D(polar_eq.ra.value, polar_eq.dec.value)
l1l2cross = np.cross(l2,l1)
pdl2cross = np.cross(l2,polar_d)
angle = math.acos(np.dot(l1l2cross,pdl2cross)/(np.linalg.norm(l1l2cross)*np.linalg.norm(pdl2cross)))
angle = (angle)/math.pi*180
# if (ra>90 and ra< 270):
# angle=-angle
return angle
# @jit()
def getSelectPointingList(center = [60,-40], radius = 2):
points = np.loadtxt('sky.dat')
center = center#ra dec
radius = radius # degree
radii_dec = 1
radii_ra = 1/math.cos(math.pi*center[1]/180)
if radii_ra > 180:
radii_ra = 180
c_eclip = coord.SkyCoord(points[:,2]*u.degree, points[:,1]*u.degree,frame='barycentrictrueecliptic')
c_equtor = c_eclip.transform_to('icrs')
# print(np.min((c_equtor.ra*u.degree).value), np.max((c_equtor.ra*u.degree).value))
# c_equtor_sel = c_equtor
# points_sel = points
ra_range_lo = center[0]-radii_ra
ra_range_hi = center[0]+radii_ra
if ra_range_lo< 0:
ids1 = ((c_equtor.ra*u.degree).value<ra_range_hi) | ((c_equtor.ra*u.degree).value>360+ra_range_lo)
elif ra_range_hi > 360:
ids1 = ((c_equtor.ra*u.degree).value>ra_range_lo) | ((c_equtor.ra*u.degree).value<ra_range_hi-360)
else:
ids1 = ((c_equtor.ra*u.degree).value > ra_range_lo) & ((c_equtor.ra*u.degree).value < ra_range_hi)
dec_range_lo = center[1]-radii_dec
if center[1]-radii_dec < -90:
dec_range_lo = -90
dec_range_hi = center[1]+radii_dec
if center[1]+radii_dec > 90:
dec_range_hi = 90
ids3 = (c_equtor[ids1].dec*u.degree).value > dec_range_lo
ids4 = (c_equtor[ids1][ids3].dec*u.degree).value < dec_range_hi
num = points[ids1][ids3][ids4].shape[0]
p_result = np.zeros([num, 5])
i = 0
for p,p_ in zip(points[ids1][ids3][ids4],c_equtor[ids1][ids3][ids4]):
ra = (p_.ra*u.degree).value
dec = (p_.dec*u.degree).value
# print(ra, dec)
lon = p[2]
lat = p[1]
p_result[i,0] = ra
p_result[i,1] = dec
p_result[i,2] = lon
p_result[i,3] = lat
p_result[i,4] = getobsPA(ra, dec) + 90
i = i + 1
return p_result
def findPointingbyChipID(chipID = 8, ra = 60., dec = -40.):
"""_summary_
Args:
chipID (int, optional): Chip ID.
ra (_type_, optional): Chip center ra.
dec (_type_, optional): Chip center dec.
Returns:
_type_: [ra, dec, rotation angle]
"""
chip_center = [ra, dec]
p_list = getSelectPointingList(center = chip_center)
pchip = Chip(chipID)
p_num = p_list.shape[0]
max_value = 1000000000
min_d = max_value
r_ra = ra
r_dec = dec
r_rot = 0.
for i in np.arange(0,p_num,1):
ra_n = p_list[i,0]
dec_n = p_list[i,1]
rot = p_list[i,4]*galsim.degrees
chip_wcs = pchip.getTanWCS(ra_n, dec_n, rot)
c_center = pchip.getChipCenter()
c_world = chip_wcs.toWorld(c_center)
ra_s = c_world.ra.deg
dec_s = c_world.dec.deg
# print(ra, dec, ra_s, dec_s)
d = (ra_s - ra)*(ra_s - ra) + (dec_s - dec)*(dec_s - dec)
if d < min_d:
min_d = d
r_ra = ra_n
r_dec = dec_n
r_rot = rot.deg
if min_d == max_value:
print("RA:%f,Dec:%f不在指向范围内，请于巡天规划序列比对！！！！！"%(ra, dec))
return [r_ra, r_dec , r_rot]
if __name__ == "__main__":
tchip, tra, tdec = 8, 60., -40.
pointing = findPointingbyChipID(chipID=tchip, ra=tra, dec=tdec)
print("[ra_center, dec_center, image_rot]: ", pointing)
tools/indexFits_hdf5.py 0 → 100644
View file @ fd6c3108
# NAME:
# indexFits_hdf5
# PURPOSE:
# Return a healpix indexed catalog from a set of Fits
# CALLING:
# write_StampsIndex(dir_cat=dir_temp)
# INPUTS:
# dir_cat - the directory of Fits catalog, "<dir_cat>/stampCats/*.fits"
# OUTPUTS:
# <dir_cat>/stampCatsIndex.hdf5
# OPTIONAL:
# test_fits(nfits=100, dir_cat=None) - generate a set of Fits by galsim gaussian
# HISTORY:
# Written by Chengliang Wei, 13 Apr. 2023
# Included by csst-simulation, C.W. 25 Apr. 2023
#
#
import os
import numpy as np
import astropy.io.fits as fitsio
import h5py
import healpy
import galsim
def test_fits(nfits=100, dir_cat=None):
for ifits in range(nfits):
gal = galsim.Gaussian(sigma=np.random.uniform(0.2, 0.3)).shear(g1=np.random.uniform(-0.5, 0.5), g2=np.random.uniform(-0.5, 0.5))
arr = gal.drawImage(nx=64, ny=64, scale=0.074).array
hdu = fitsio.PrimaryHDU()
hdu.data = arr
hdu.header.set('index', ifits)
hdu.header.set('ra', 60.+np.random.uniform(-0.2, 0.2))
hdu.header.set('dec', -40.+np.random.uniform(-0.2, 0.2))
hdu.header.set('mag_g', 22+np.random.uniform(-1, 1))
hdu.header.set('pixScale', 0.074)
fout=dir_cat+"stampCats/testStamp_{:}.fits".format(ifits)
if os.path.exists(fout):
os.remove(fout)
hdu.writeto(fout)
def write_StampsIndex(dir_cat=None, DEBUG=False):
MAXNUMBERINDEX = 10000
NSIDE = 128
fp = h5py.File(dir_cat+'stampCatsIndex.hdf5', 'w')
grp1 = fp.create_group('Stamps')
dataSet_Size = np.zeros(healpy.nside2npix(NSIDE), dtype=np.int64)
fitsList = os.listdir(dir_cat+'stampCats/') #获取fits文件列表
for istamp in range(len(fitsList)):
print(istamp, ': ', fitsList[istamp], end='\r')
hdu=fitsio.open(dir_cat+"stampCats/"+fitsList[istamp])
tra = hdu[0].header['RA']
tdec= hdu[0].header['DEC']
healpixID= healpy.ang2pix(NSIDE, tra, tdec, nest=False, lonlat=True)
if not(str(healpixID) in grp1):
grp2 = grp1.create_group(str(healpixID))
else:
grp2 = grp1[str(healpixID)]
if not('ra' in grp2):
dset_ra = grp2.create_dataset('ra', (0,), dtype='f16' , maxshape=(MAXNUMBERINDEX, ))
dset_dec= grp2.create_dataset('dec', (0,), dtype='f16', maxshape=(MAXNUMBERINDEX, ))
dt = h5py.special_dtype(vlen=str)
dset_fn = grp2.create_dataset('filename', (0,), dtype=dt, maxshape=(MAXNUMBERINDEX, ))
else:
dset_ra = grp2['ra']
dset_dec = grp2['dec']
dset_fn = grp2['filename']
dataSet_Size[healpixID] = dataSet_Size[healpixID]+1
grp2['ra'].resize((dataSet_Size[healpixID],))
grp2['dec'].resize((dataSet_Size[healpixID],))
grp2['filename'].resize((dataSet_Size[healpixID],))
dset_ra[dataSet_Size[healpixID]-1] = tra
dset_dec[dataSet_Size[healpixID]-1]= tdec
dset_fn[dataSet_Size[healpixID]-1]= fitsList[istamp]
fp.close()
if DEBUG:
print('\n')
ff = h5py.File(dir_cat+"stampCatsIndex.hdf5","r")
ss = 0
for kk in ff['Stamps'].keys():
print(kk, ff['Stamps'][kk]['ra'].size)
ss = ss+ff['Stamps'][kk]['ra'].size
print(ss)
if __name__ == '__main__':
dir_temp = "./Catalog_test/"
#test_fits(dir_cat=dir_temp)
write_StampsIndex(dir_cat=dir_temp)
tools/sky.dat 0 → 100755
View file @ fd6c3108
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