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Commit df22b3b0 authored by Fang Yuedong's avatar Fang Yuedong
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Merge branch 'master' into 'release_v3.0' 

Release version v3.2.0

See merge request !33
parents 1b4f4012 428f2c1e
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tools/get_PSF.py
View file @ df22b3b0
......@@ -79,7 +79,7 @@ for iobj in range(nobj):
if True:
fn = "psf_{:}.{:}.{:}.fits".format(chipID, iobj, i)
if fn != None:
if fn is not None:
if os.path.exists(fn):
os.remove(fn)
hdu = fitsio.PrimaryHDU()
......
tools/get_pointing.py
View file @ df22b3b0
......@@ -25,6 +25,7 @@ import galsim
import math
# from numba import jit
class Chip(object):
def __init__(self, chipID):
self.chipID = chipID
......@@ -43,7 +44,7 @@ class Chip(object):
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):
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:
......@@ -57,11 +58,12 @@ class Chip(object):
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):
logger.info(
" Construct the wcs of the entire image mosaic using Gnomonic/TAN projection")
if (xcen is None) or (ycen is None):
xcen = self.cen_pix_x
ycen = self.cen_pix_y
if pix_scale == None:
if pix_scale is None:
pix_scale = self.pix_scale
# dudx = -np.cos(img_rot.rad) * pix_scale
# dudy = -np.sin(img_rot.rad) * pix_scale
......@@ -78,7 +80,8 @@ class Chip(object):
# 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)
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)
......@@ -99,8 +102,6 @@ class Chip(object):
A galsim BoundsD object
"""
chipID = self.chipID
rowID, colID = self.getChipRowCol(chipID)
......@@ -125,36 +126,41 @@ class Chip(object):
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);
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])
l1 = np.array([0, 0, 1])
l2 = transRaDec2D(ra, dec)
polar_ec = coord.SkyCoord(0*u.degree, 90*u.degree,frame='barycentrictrueecliptic')
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)))
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
angle = angle + 90
if (ra<90 or ra> 270):
angle=-angle
if (ra < 90 or ra > 270):
angle = -angle
return angle
# @jit()
def getSelectPointingList(center = [60,-40], radius = 2):
points = np.loadtxt('sky.dat')
center = center#ra dec
def getSelectPointingList(center=[60, -40], radius=2):
points = np.loadtxt('sky.dat')
center = center # ra dec
radius = radius # degree
radii_dec = 1
......@@ -163,7 +169,8 @@ def getSelectPointingList(center = [60,-40], radius = 2):
if radii_ra > 180:
radii_ra = 180
c_eclip = coord.SkyCoord(points[:,2]*u.degree, points[:,1]*u.degree,frame='barycentrictrueecliptic')
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))
......@@ -174,13 +181,15 @@ def getSelectPointingList(center = [60,-40], radius = 2):
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)
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)
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)
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:
......@@ -198,25 +207,24 @@ def getSelectPointingList(center = [60,-40], radius = 2):
p_result = np.zeros([num, 5])
i = 0
for p,p_ in zip(points[ids1][ids3][ids4],c_equtor[ids1][ids3][ids4]):
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
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.):
def findPointingbyChipID(chipID=8, ra=60., dec=-40.):
"""_summary_
Args:
......@@ -228,7 +236,7 @@ def findPointingbyChipID(chipID = 8, ra = 60., dec = -40.):
_type_: [ra, dec, rotation angle]
"""
chip_center = [ra, dec]
p_list = getSelectPointingList(center = chip_center)
p_list = getSelectPointingList(center=chip_center)
pchip = Chip(chipID)
p_num = p_list.shape[0]
......@@ -238,10 +246,10 @@ def findPointingbyChipID(chipID = 8, ra = 60., dec = -40.):
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
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()
......@@ -259,13 +267,12 @@ def findPointingbyChipID(chipID = 8, ra = 60., dec = -40.):
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))
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]
return [r_ra, r_dec, r_rot]
if __name__ == "__main__":
tchip, tra, tdec = 13, 60., -40.
pointing = findPointingbyChipID(chipID=tchip, ra=tra, dec=tdec)
print("[ra_center, dec_center, image_rot]: ", pointing)
tools/get_pointing_accuracy.py
View file @ df22b3b0
from pylab import *
import math, sys, numpy as np
import math
import sys
import numpy as np
import astropy.coordinates as coord
from astropy.coordinates import SkyCoord
from astropy import wcs, units as u
......@@ -14,8 +16,9 @@ def transRaDec2D(ra, dec):
z1 = np.sin(dec / 57.2957795)
return np.array([x1, y1, z1])
def ecl2radec(lon_ecl, lat_ecl):
## convert from ecliptic coordinates to equatorial coordinates
# convert from ecliptic coordinates to equatorial coordinates
c_ecl = SkyCoord(
lon=lon_ecl * u.degree, lat=lat_ecl * u.degree, frame="barycentrictrueecliptic"
)
......@@ -25,18 +28,19 @@ def ecl2radec(lon_ecl, lat_ecl):
def radec2ecl(ra, dec):
## convert from equatorial coordinates to ecliptic coordinates
# convert from equatorial coordinates to ecliptic coordinates
c_eq = SkyCoord(ra=ra * u.degree, dec=dec * u.degree, frame="icrs")
c_ecl = c_eq.transform_to("barycentrictrueecliptic")
lon_ecl, lat_ecl = c_ecl.lon.degree, c_ecl.lat.degree
return lon_ecl, lat_ecl
def cal_FoVcenter_1P_equatorial(ra_FieldCenter, dec_FieldCenter, chipID = 1, pa = -23.5):
### [ra_FieldCenter, dec_FieldCenter] is the center ra, dec of calibration fileds, such as: NEP, NGC 6397, etc.
### [ra_ChipCenter, dec_ChipCenter] is the center ra, dec of the Chip center.
### [ra_PointCenter, dec_PointCenter] is the telescope pointing center.
## Calculate PA angle
def cal_FoVcenter_1P_equatorial(ra_FieldCenter, dec_FieldCenter, chipID=1, pa=-23.5):
# [ra_FieldCenter, dec_FieldCenter] is the center ra, dec of calibration fileds, such as: NEP, NGC 6397, etc.
# [ra_ChipCenter, dec_ChipCenter] is the center ra, dec of the Chip center.
# [ra_PointCenter, dec_PointCenter] is the telescope pointing center.
# Calculate PA angle
chip = Chip(chipID)
h_ext = ImageHeader.generateExtensionHeader(
......@@ -75,17 +79,18 @@ def cal_FoVcenter_1P_equatorial(ra_FieldCenter, dec_FieldCenter, chipID = 1, pa
return ra_PointCenter, dec_PointCenter, lon_ecl_PointCenter, lat_ecl_PointCenter
def cal_FoVcenter_1P_ecliptic(lon_ecl_FieldCenter, lat_ecl_FieldCenter, chipID = 1, pa = -23.5):
### [ra_FieldCenter, dec_FieldCenter] is the center ra, dec of calibration fileds, such as: NEP, NGC 6397, etc.
### [ra_ChipCenter, dec_ChipCenter] is the center ra, dec of the Chip center.
### [ra_PointCenter, dec_PointCenter] is the telescope pointing center.
def cal_FoVcenter_1P_ecliptic(lon_ecl_FieldCenter, lat_ecl_FieldCenter, chipID=1, pa=-23.5):
# [ra_FieldCenter, dec_FieldCenter] is the center ra, dec of calibration fileds, such as: NEP, NGC 6397, etc.
# [ra_ChipCenter, dec_ChipCenter] is the center ra, dec of the Chip center.
# [ra_PointCenter, dec_PointCenter] is the telescope pointing center.
ra_FieldCenter, dec_FieldCenter = ecl2radec(
lon_ecl_FieldCenter, lat_ecl_FieldCenter
)
## Calculate PA angle
# Calculate PA angle
chip = Chip(chipID)
h_ext = ImageHeader.generateExtensionHeader(
......@@ -124,7 +129,8 @@ def cal_FoVcenter_1P_ecliptic(lon_ecl_FieldCenter, lat_ecl_FieldCenter, chipID =
return ra_PointCenter, dec_PointCenter, lon_ecl_PointCenter, lat_ecl_PointCenter
def getChipCenterRaDec(chipID = 1, p_ra = 60., p_dec = -40.):
def getChipCenterRaDec(chipID=1, p_ra=60., p_dec=-40.):
chip = Chip(chipID)
h_ext = ImageHeader.generateExtensionHeader(
......@@ -149,17 +155,18 @@ def getChipCenterRaDec(chipID = 1, p_ra = 60., p_dec = -40.):
RA_chip, Dec_chip = world_point[0][0], world_point[0][1]
return RA_chip, Dec_chip
if __name__ == '__main__':
ra_input, dec_input = 270.00000, 66.56000 # NEP
pa = 23.5
# chipid = 2
for chipid in np.arange(1,31,1):
for chipid in np.arange(1, 31, 1):
ra, dec, lon_ecl, lat_ecl = cal_FoVcenter_1P_equatorial(
ra_input, dec_input,chipID=chipid, pa=pa)
ra_input, dec_input, chipID=chipid, pa=pa)
print("chip id is %d, chip center [ra,dec] is [%f, %f], pointing center calculated [ra,dec] is [%f, %f]"%(chipid, ra_input, dec_input, ra, dec))
#for check the result
print("chip id is %d, chip center [ra,dec] is [%f, %f], pointing center calculated [ra,dec] is [%f, %f]" % (
chipid, ra_input, dec_input, ra, dec))
# for check the result
# testRA, testDec = getChipCenterRaDec(chipID = chipid, p_ra = ra, p_dec = dec)
# print(ra_input-testRA, dec_input-testDec)
tools/setConfig/reset_obs.py 0 → 100644
View file @ df22b3b0
from flask import Flask, render_template, request, redirect
import yaml
import ast
app = Flask(__name__)
key_type_map = {
'obs_type': str,
'obs_type_code': str,
'obs_id': str,
'run_chips': list,
'call_sequence': {
'scie_obs': {
'shutter_effect': bool,
'flat_fielding': bool,
'field_dist': bool,
},
'sky_background': {
'shutter_effect': bool,
'flat_fielding': bool,
'enable_straylight_model': bool,
'flat_level': None,
'flat_level_filt': None,
},
'PRNU_effect': {},
'cosmic_rays': {
'save_cosmic_img': bool,
},
'poisson_and_dark': {
'add_dark': bool,
},
'bright_fatter': {},
'detector_defects': {
'hot_pixels': bool,
'dead_pixels': bool,
'bad_columns': bool,
},
'nonlinearity': {},
'blooming': {},
'prescan_overscan': {
'add_dark': bool,
},
'bias': {
'bias_16channel': bool,
},
'readout_noise': {},
'gain': {
'gain_16channel': bool,
},
'quantization_and_output': {
'format_output': bool,
},
},
}
def convert_dict_values(d, key_type_map):
for key, value in d.items():
if isinstance(value, dict):
convert_dict_values(value, key_type_map[key])
elif key in key_type_map:
if key_type_map[key] is int:
d[key] = int(value)
if key_type_map[key] is float:
d[key] = float(value)
if key_type_map[key] is bool:
if d[key].lower() == 'yes' or d[key].lower() == 'true':
d[key] = True
else:
d[key] = False
if key_type_map[key] is str:
d[key] = str(value)
if key_type_map[key] is list:
d[key] = ast.literal_eval(value)
if key_type_map[key] is None:
d[key] = None
def load_yaml():
with open('templates/obs_config_SCI.yaml', 'r') as file:
return yaml.safe_load(file)
def save_yaml(data):
convert_dict_values(data, key_type_map)
with open('config_reset/obs_config_SCI_reset.yaml', 'w') as file:
yaml.dump(data, file, default_flow_style=False, sort_keys=False)
def render_form(data, parent_key=''):
form_html = ''
for key, value in data.items():
full_key = f"{parent_key}.{key}" if parent_key else key
if isinstance(value, dict): # 处理字典
form_html += f"<div class='block'><h2>{key}</h2>{render_form(value, full_key)}</div>"
else:
form_html += f"<label for='{full_key}'>{key}:</label>"
form_html += f"<input type='text' id='{full_key}' name='{full_key}' value='{value}'><br>"
return form_html
@app.route('/', methods=['GET', 'POST'])
def index():
if request.method == 'POST':
data = load_yaml()
for key in request.form:
keys = key.split('.')
temp = data
for k in keys[:-1]:
temp = temp[k]
temp[keys[-1]] = request.form[key]
save_yaml(data)
return redirect('/')
data = load_yaml()
form_html = render_form(data)
return render_template('index_obs.html', form_html=form_html)
if __name__ == '__main__':
app.run(debug=True)
tools/setConfig/reset_overall.py 0 → 100644
View file @ df22b3b0
from flask import Flask, render_template, request, redirect
import yaml
import ast
app = Flask(__name__)
key_type_map = {
'work_dir': str,
'run_name': str,
'project_cycle': int,
'run_counter': int,
'run_option': {
'out_cat_only': bool,
},
'catalog_options': {
'input_path': {
'cat_dir': str,
'star_cat': str,
'galaxy_cat': str,
},
'SED_templates_path': {
'star_SED': str,
'galaxy_SED': str,
'AGN_SED': str,
},
'star_only': bool,
'galaxy_only': bool,
'rotateEll': float,
'enable_mw_ext_gal': bool,
'planck_ebv_map': str,
},
'obs_setting': {
'pointing_file': str,
'obs_config_file': str,
'run_pointings': list,
'enable_astrometric_model': bool,
'cut_in_band': str,
'mag_sat_margin': float,
'mag_lim_margin': float,
},
'psf_setting': {
'psf_model': str,
'psf_pho_dir': str,
'psf_sls_dir': str,
},
'shear_setting': {
'shear_type': str,
'reduced_g1': float,
'reduced_g2': float,
},
'output_setting': {
'output_format': str,
'shutter_output': bool,
'prnu_output': bool,
},
'random_seeds': {
'seed_poisson': int,
'seed_CR': int,
'seed_flat': int,
'seed_prnu': int,
'seed_gainNonUniform': int,
'seed_biasNonUniform': int,
'seed_rnNonUniform': int,
'seed_badcolumns': int,
'seed_defective': int,
'seed_readout': int,
},
}
def convert_dict_values(d, key_type_map):
for key, value in d.items():
if isinstance(value, dict):
convert_dict_values(value, key_type_map[key])
elif key in key_type_map:
if key_type_map[key] is int:
d[key] = int(value)
if key_type_map[key] is float:
d[key] = float(value)
if key_type_map[key] is bool:
if d[key].lower() == 'yes' or d[key].lower() == 'true':
d[key] = True
else:
d[key] = False
if key_type_map[key] is str:
d[key] = str(value)
if key_type_map[key] is list:
d[key] = ast.literal_eval(value)
def load_yaml():
with open('templates/config_overall.yaml', 'r') as file:
return yaml.safe_load(file)
def save_yaml(data):
convert_dict_values(data, key_type_map)
with open('config_reset/config_overall_reset.yaml', 'w') as file:
yaml.dump(data, file, default_flow_style=False, sort_keys=False)
def render_form(data, parent_key=''):
form_html = ''
for key, value in data.items():
full_key = f"{parent_key}.{key}" if parent_key else key
if isinstance(value, dict): # 处理字典
form_html += f"<div class='block'><h2>{key}</h2>{render_form(value, full_key)}</div>"
else:
form_html += f"<label for='{full_key}'>{key}:</label>"
form_html += f"<input type='text' id='{full_key}' name='{full_key}' value='{value}'><br>"
return form_html
@app.route('/', methods=['GET', 'POST'])
def index():
if request.method == 'POST':
data = load_yaml()
for key in request.form:
keys = key.split('.')
temp = data
for k in keys[:-1]:
temp = temp[k]
temp[keys[-1]] = request.form[key]
save_yaml(data)
return redirect('/')
data = load_yaml()
form_html = render_form(data)
return render_template('index_overall.html', form_html=form_html)
if __name__ == '__main__':
app.run(debug=True)
tools/setConfig/templates/config_overall.yaml 0 → 100644
View file @ df22b3b0
---
###############################################
#
# 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: "/public/home/fangyuedong/project/workplace/"
run_name: "ext_on"
# Project cycle and run counter are used to name the outputs
project_cycle: 9
run_counter: 1
# Run options
run_option:
# 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: "/public/share/yangxuliu/CSSOSDataProductsSims/data_50sqDeg/"
star_cat: "starcat_C9/"
galaxy_cat: "qsocat/cat2CSSTSim_bundle-50sqDeg/"
SED_templates_path:
star_SED: "/public/share/yangxuliu/CSSOSDataProductsSims/data_50sqDeg/starcat_C9/"
galaxy_SED: "/public/share/yangxuliu/CSSOSDataProductsSims/data_50sqDeg/sedlibs/"
AGN_SED: "/public/share/yangxuliu/CSSOSDataProductsSims/data_50sqDeg/qsocat/qsosed/"
# Only simulate stars?
star_only: NO
# Only simulate galaxies?
galaxy_only: NO
# rotate galaxy ellipticity
rotateEll: 0. # [degree]
# Whether to apply milky way extinction to galaxies
enable_mw_ext_gal: YES
planck_ebv_map: "/public/home/fangyuedong/project/ext_maps/planck/HFI_CompMap_ThermalDustModel_2048_R1.20.fits"
###############################################
# 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: "/public/share/yangxuliu/CSSOSDataProductsSims/data_50sqDeg/pointing50_C9/pointing_50_1_n.dat"
obs_config_file: "/public/home/fangyuedong/project/csst_msc_sim/config/obs_config_SCI.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: [0, 1, 2, 3, 4]
# Whether to enable astrometric modeling
enable_astrometric_model: YES
# 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: "/public/share/yangxuliu/CSSOSDataProductsSims/dataC6/psfCube1"
# PSF models for slitless spectrum survey simulation
psf_sls_dir: "/public/share/yangxuliu/CSSOSDataProductsSims/data_50sqDeg/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
tools/setConfig/templates/index_obs.html 0 → 100644
View file @ df22b3b0
<!DOCTYPE html>
<html lang="zh">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>csst_msc_sim_CONF</title>
<link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.15.4/css/all.min.css" rel="stylesheet">
<style>
body {
font-family: Arial, sans-serif;
margin: 0;
padding: 20px;
background-color: #f4f4f4;
color: #333;
}
h1 {
text-align: center;
color: #4CAF50;
}
.container {
max-width: 800px;
margin: 0 auto;
background: #fff;
padding: 20px;
border-radius: 8px;
box-shadow: 0 2px 10px rgba(0, 0, 0, 0.1);
}
.block {
margin-bottom: 20px;
border: 1px solid #ccc;
border-radius: 4px;
padding: 10px;
background-color: #fafafa;
}
h2 {
color: #4CAF50;
font-size: 1.2em;
margin-bottom: 10px;
}
label {
display: block;
margin: 5px 0;
}
input[type="text"] {
width: calc(100% - 22px);
padding: 10px;
border: 1px solid #ccc;
border-radius: 4px;
margin-bottom: 10px;
transition: border 0.3s;
}
input[type="text"]:focus {
border-color: #4CAF50;
outline: none;
}
input[type="submit"] {
background-color: #4CAF50;
color: white;
border: none;
padding: 10px 15px;
border-radius: 4px;
cursor: pointer;
font-size: 1em;
transition: background-color 0.3s;
}
input[type="submit"]:hover {
background-color: #45a049;
}
table {
width: 100%;
border: 1px solid #ddd;
border-radius: 8px; /* 圆角 */
overflow: hidden; /* 隐藏超出表格的内容 */
box-shadow: 0 0 10px rgba(0, 0, 0, 0.1); /* 添加阴影 */
}
th, td {
border-bottom: 1px solid #ddd; /* 单元格底部边框 */
padding: 12px; /* 内边距 */
text-align: left;
}
tr:hover {
background-color: #ADD8E6; /* 悬停时背景颜色 */
}
</style>
</head>
<body>
<div class="container">
<h1>配置obs_config_SCI.yaml</h1>
<p><strong>说明:</strong>
1,该脚本可用于生成CSST主巡天成像仿真的参数文件,相关参数说明见本页脚注;2,用户必须修改相关路径参数，其他参数可参考默认值
.
</p>
<hr style="border: 2px solid green;">
<form method="POST">
{{ form_html | safe }}
<input type="submit" value="保存">
</form>
</div>
<footer class="mt-4">
<p class="text-center">这是一个有用的网页</p>
<table>
<tr>
<th>KEYS</th>
<th>VALUES</th>
<th>COMMENTS</th>
</tr>
<tr>
<th>obs_type</th>
<td>"SCI", [str]</td>
<td>仿真图像类型</td>
</tr>
<tr>
<th>obs_type_code</th>
<td>"101", [str]</td>
<td>数据系统内部标号</td>
</tr>
<tr>
<th>obs_id</th>
<td>"00000001", [str]</td>
<td>this setting will only be used if pointing list file is not given</td>
</tr>
<tr>
<th>run_chips</th>
<td>[7,8,9], [list]</td>
<td>Define list of chips</td>
</tr>
<tr>
<th>scie_obs:<span style="font-weight: normal;">shutter_effect</span></th>
<td>YES, [bool]</td>
<td>是否应用快门效应</td>
</tr>
<tr>
<th>scie_obs:<span style="font-weight: normal;">flat_fielding</span></th>
<td>YES, [bool]</td>
<td>是否应用平场模块</td>
</tr>
<tr>
<th>scie_obs:<span style="font-weight: normal;">field_dist</span></th>
<td>YES, [bool]</td>
<td> </td>
</tr>
<tr>
<th>sky_background:<span style="font-weight: normal;">shutter_effect</span></th>
<td>YES, [bool]</td>
<td>是否应用快门效应</td>
</tr>
<tr>
<th>sky_background:<span style="font-weight: normal;">flat_fielding</span></th>
<td>YES, [bool]</td>
<td>是否应用平场模块</td>
</tr>
<tr>
<th>sky_background:<span style="font-weight: normal;">enable_straylight_model</span></th>
<td>YES, [bool]</td>
<td>是否应用杂散光模块</td>
</tr>
<tr>
<th>sky_background:<span style="font-weight: normal;">flat_level</span></th>
<td>null [null or int]</td>
<td>set the total skybackground value (e-) in the exptime,if none,set null, or delete the key</td>
</tr>
<tr>
<th>sky_background:<span style="font-weight: normal;">flat_level_filt</span></th>
<td>null, [str]</td>
<td>the vale of "flat_level" is in the filter "flat_level_filt", can set NUV, u, g, r, i, z, y, if none,set null,or delete the key</td>
</tr>
<tr>
<th>PRNU_effect<span style="font-weight: normal;"></span></th>
<td>---</td>
<td>应用像素间不均匀响应模块；如果需关闭，请在生成的yaml文件中直接注释</td>
</tr>
<tr>
<th>cosmic_rays:<span style="font-weight: normal;">save_cosmic_img</span></th>
<td>YES, [bool]</td>
<td>是否保存宇宙线图像</td>
</tr>
<tr>
<th>poisson_and_dark:<span style="font-weight: normal;">add_dark</span></th>
<td>YES, [bool]</td>
<td>是否添加暗电流</td>
</tr>
<tr>
<th>bright_fatter<span style="font-weight: normal;"></span></th>
<td>YES, [bool]</td>
<td>应用亮胖效应模块；如果需关闭，请在生成的yaml文件中直接注释</td>
</tr>
<tr>
<th>detector_defects:<span style="font-weight: normal;">hot_pixels</span></th>
<td>YES, [bool]</td>
<td>是否添加热像元</td>
</tr>
<tr>
<th>detector_defects:<span style="font-weight: normal;">dead_pixels</span></th>
<td>YES, [bool]</td>
<td>是否添加坏像元</td>
</tr>
<tr>
<th>detector_defects:<span style="font-weight: normal;">bad_columns</span></th>
<td>YES, [bool]</td>
<td>是否添加坏像列</td>
</tr>
<tr>
<th>nonlinearity<span style="font-weight: normal;"></span></th>
<td>---</td>
<td>应用非线性响应模块；如果需关闭，请在生成的yaml文件中直接注释</td>
</tr>
<tr>
<th>blooming<span style="font-weight: normal;"></span></th>
<td>---</td>
<td>是否应用饱和溢出模块;如果需关闭，请在生成的yaml文件中直接注释</td>
</tr>
<tr>
<th>prescan_overscan:<span style="font-weight: normal;">add_dark</span></th>
<td>YES, [bool]</td>
<td> 是否在pre/over-scan区域添加暗电流/</td>
</tr>
<tr>
<th>bias:<span style="font-weight: normal;">bias_16channel</span></th>
<td>YES, [bool]</td>
<td>是否添加16通道的偏置电压</td>
</tr>
<tr>
<th>readout_noise<span style="font-weight: normal;"></span></th>
<td>---</td>
<td>添加读出噪声；如果需关闭，请在生成的yaml文件中直接注释</td>
</tr>
<tr>
<th>gain:<span style="font-weight: normal;">gain_16channel</span></th>
<td>YES, [bool]</td>
<td>是否应用增益</td>
</tr>
<tr>
<th>quantization_and_output:<span style="font-weight: normal;">format_output</span></th>
<td>YES, [bool]</td>
<td>是否按0级数据格式定义输出图像</td>
</tr>
</table>
</footer>
</body>
</html>
tools/setConfig/templates/index_overall.html 0 → 100644
View file @ df22b3b0
This diff is collapsed.
tools/setConfig/templates/obs_config_SCI.yaml 0 → 100644
View file @ df22b3b0
This diff is collapsed.
tools/target_location_check.py
View file @ df22b3b0
......@@ -221,8 +221,8 @@ def ccdLayout(xpixTar, ypixTar, figout="ccdLayout.pdf"):
ax.text(ix0+500, iy0+1500, "%s#%s" %
(fType, ischip), fontsize=12, color="grey")
ax.plot(xpixTar, ypixTar, "r*", ms=12)
ax.set_xlabel("$X\,[\mathrm{pixels}]$", fontsize=20)
ax.set_ylabel("$Y\,[\mathrm{pixels}]$", fontsize=20)
ax.set_xlabel(r"$X\,[\mathrm{pixels}]$", fontsize=20)
ax.set_ylabel(r"$Y\,[\mathrm{pixels}]$", fontsize=20)
ax.invert_yaxis()
ax.axis('off')
plt.savefig(figout)
......
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