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Commit 18bdecdb authored by Fang Yuedong's avatar Fang Yuedong
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encapsulate instrumental data

parent 72f88213
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ObservationSim/PSF/PSFInterp/test/plotPSFMats.py deleted 100644 → 0
View file @ 72f88213
import sys
from itertools import islice
import mpi4py.MPI as MPI
import numpy as np
import matplotlib.pyplot as plt
import matplotlib as mpl
mpl.use('Agg')
import scipy.io
#import xlrd
from scipy import ndimage
sys.path.append("/public/home/weichengliang/lnData/CSST_new_framwork/csstPSF_20210108")
import PSFConfig as myConfig
import PSFUtil as myUtil
NPSF = 900
##############################
##############################
##############################
def test_psfPlot(iccd, ipsf, psfPath):
plt.cla()
plt.close('all')
#psf质心位置检查,图像切片程序检查
fig = plt.figure(figsize=(4,16))
plt.subplots_adjust(wspace=0.1, hspace=0.1)
psfSet = []
psfSetX= []
for iwave in range(1, 5):
psfInfo = myConfig.LoadPSF(iccd, iwave, ipsf, psfPath, InputMaxPixelPos=True, PSFCentroidWgt=False)
psfSet.append(psfInfo)
psfInfo = myConfig.LoadPSF(iccd, iwave, ipsf, psfPath, InputMaxPixelPos=True, PSFCentroidWgt=True)
psfSetX.append(psfInfo)
ax = plt.subplot(4,1,iwave)
psfMat = psfSet[iwave-1]['psfMat']
pixsize = psfSet[iwave-1]['pixsize']*1e-3 #microns -> mm
print('psfMat-shape:', psfMat.shape)
npix = psfMat.shape[0]
pixCutEdge= int(npix/2-15)
plt.imshow((psfMat[pixCutEdge:npix-pixCutEdge, pixCutEdge:npix-pixCutEdge]), origin='lower')
plt.plot([npix/2-pixCutEdge, npix/2-pixCutEdge],[0, (npix/2-pixCutEdge)*2-1],'w--')
plt.plot([0, (npix/2-pixCutEdge)*2-1],[npix/2-pixCutEdge, npix/2-pixCutEdge],'w--')
imgX = psfSet[iwave-1]['image_x'] #in mm
imgY = psfSet[iwave-1]['image_y'] #in mm
#cenX = imgX +deltX
#cenY = imgY -deltY
deltX= psfSet[iwave-1]['centroid_x'] #in mm
deltY= psfSet[iwave-1]['centroid_y'] #in mm
cenPix_X = npix/2 + deltX/pixsize
cenPix_Y = npix/2 + deltY/pixsize
plt.plot([cenPix_X-pixCutEdge],[cenPix_Y-pixCutEdge], 'rx', ms = 20)
deltX= psfSetX[iwave-1]['centroid_x'] #in mm
deltY= psfSetX[iwave-1]['centroid_y'] #in mm
cenPix_X = npix/2 + deltX/pixsize
cenPix_Y = npix/2 + deltY/pixsize
plt.plot([cenPix_X-pixCutEdge],[cenPix_Y-pixCutEdge], 'bx', ms = 10, mew=2)
maxX = psfSet[iwave-1]['max_x']
maxY = psfSet[iwave-1]['max_y']
maxPix_X = npix/2 + maxX/pixsize
maxPix_Y = npix/2 + maxY/pixsize
plt.plot([maxPix_X-pixCutEdge],[maxPix_Y-pixCutEdge], 'r+', ms = 20)
img = psfMat/np.sum(psfMat)
y, x = ndimage.center_of_mass(img)
print(x, y)
print(cenPix_X, cenPix_Y)
plt.plot([x-pixCutEdge],[y-pixCutEdge], 'wx', ms = 5, mew=1)
plt.annotate('iccd={:}, iwave={:}, ipsf={:}'.format(iccd, iwave, ipsf), [0,(npix/2-pixCutEdge)*2-5], c='w', size=15)
plt.savefig('figs/psf_{:}_{:}.pdf'.format(iccd, ipsf))
print('psfSet has been loaded.')
print('Usage: psfSet[i][keys]')
print('psfSet.keys:', psfSet[0].keys())
##############################
##############################
##############################
if __name__=='__main__':
iccd = 2 #[1, 30]
iwave= 2 #[1, 4]
ipsf = 46 #[1, 100]
psfPath = '/data/simudata/CSSOSDataProductsSims/data/csstPSFdata/CSSOS_psf_20210108/CSST_psf_ciomp_2p5um_cycle3_ccr90'
iipsf = [1, 15, 30, 450, 465, 480, 870, 885, 900]
for iccd in range(1, 31):
for ipsf in iipsf:
test_psfPlot(iccd, ipsf, psfPath)
ObservationSim/PSF/PSFInterp/test/plotPSFMats_REE50.py deleted 100644 → 0
View file @ 72f88213
import sys
from itertools import islice
import mpi4py.MPI as MPI
import numpy as np
import matplotlib.pyplot as plt
import matplotlib as mpl
mpl.use('Agg')
import scipy.io
#import xlrd
from scipy import ndimage
sys.path.append("/public/home/weichengliang/lnData/CSST_new_framwork/csstPSF_20210108")
import PSFConfig as myConfig
import PSFUtil as myUtil
NPSF = 900
##############################
##############################
##############################
def test_psfPlot(iccd, iwave, ipsf, psfPath, r50):
#psf质心位置检查,图像切片程序检查
plt.cla()
plt.close("all")
fig = plt.figure(figsize=(4,8))
plt.subplots_adjust(wspace=0.1, hspace=0.1)
#psfSet = []
#psfSetX= []
#for iwave in range(1, 5):
psfInfo = myConfig.LoadPSF(iccd, iwave, ipsf, psfPath, InputMaxPixelPos=True, PSFCentroidWgt=False)
#psfSet.append(psfInfo)
psfInfoX = myConfig.LoadPSF(iccd, iwave, ipsf, psfPath, InputMaxPixelPos=True, PSFCentroidWgt=True)
#psfSetX.append(psfInfo)
ax = plt.subplot(2,1,1)
psfMat = psfInfo['psfMat']
pixsize = psfInfo['pixsize']*1e-3 #microns -> mm
print('psfMat-shape:', psfMat.shape)
npix = psfMat.shape[0]
pixCutEdge= int(npix/2-15)
plt.imshow(np.log10(1e-6+psfMat[pixCutEdge:npix-pixCutEdge, pixCutEdge:npix-pixCutEdge]), origin='lower')
plt.plot([npix/2-pixCutEdge, npix/2-pixCutEdge],[0, (npix/2-pixCutEdge)*2-1],'w--')
plt.plot([0, (npix/2-pixCutEdge)*2-1],[npix/2-pixCutEdge, npix/2-pixCutEdge],'w--')
imgX = psfInfo['image_x'] #in mm
imgY = psfInfo['image_y'] #in mm
#cenX = imgX +deltX
#cenY = imgY -deltY
#deltX= psfSet[iwave-1]['centroid_x'] #in mm
#deltY= psfSet[iwave-1]['centroid_y'] #in mm
#cenPix_X = npix/2 + deltX/pixsize
#cenPix_Y = npix/2-1 + deltY/pixsize
#plt.plot([cenPix_X-pixCutEdge],[cenPix_Y-pixCutEdge], 'rx', ms = 20)
deltX= psfInfoX['centroid_x'] #in mm
deltY= psfInfoX['centroid_y'] #in mm
cenPix_X = npix/2 + deltX/pixsize
cenPix_Y = npix/2 + deltY/pixsize
plt.plot([cenPix_X-pixCutEdge],[cenPix_Y-pixCutEdge], 'bx', ms = 10, mew=2)
#maxX = psfSet[iwave-1]['max_x']
#maxY = psfSet[iwave-1]['max_y']
#maxPix_X = npix/2 + maxX/pixsize
#maxPix_Y = npix/2-1 + maxY/pixsize
#plt.plot([maxPix_X-pixCutEdge],[maxPix_Y-pixCutEdge], 'r+', ms = 20)
#img = psfMat/np.sum(psfMat)
#y, x = ndimage.center_of_mass(img)
#print(x, y)
#print(cenPix_X, cenPix_Y)
#plt.plot([x-pixCutEdge],[y-pixCutEdge], 'wx', ms = 5, mew=1)
plt.annotate('iccd={:}, iwave={:}, ipsf={:}'.format(iccd, iwave, ipsf), [0,(npix/2-pixCutEdge)*2-5], c='w', size=15)
ax = plt.subplot(2,1,2)
cenPix = [cenPix_X, cenPix_Y]
img = myUtil.psfTailor(psfMat, apSizeInArcsec=2*r50, psfSampleSizeInMicrons=2.5, cenPix=cenPix)
plt.imshow(np.log10(1e-6+img[pixCutEdge:npix-pixCutEdge, pixCutEdge:npix-pixCutEdge]), origin='lower')
plt.plot([npix/2-pixCutEdge, npix/2-pixCutEdge],[0, (npix/2-pixCutEdge)*2-1],'w--')
plt.plot([0, (npix/2-pixCutEdge)*2-1],[npix/2-pixCutEdge, npix/2-pixCutEdge],'w--')
plt.savefig('figs/psf_{:}_{:}_2r50_log.pdf'.format(iccd, ipsf))
#print('psfSet has been loaded.')
#print('Usage: psfSet[i][keys]')
#print('psfSet.keys:', psfSet[0].keys())
##############################
##############################
##############################
if __name__=='__main__':
iccd = 2 #[1, 30]
iwave= 2 #[1, 4]
ipsf = 46 #[1, 100]
psfPath = '/data/simudata/CSSOSDataProductsSims/data/csstPSFdata/CSSOS_psf_20210108/CSST_psf_ciomp_2p5um_cycle3'
REE50 = np.loadtxt('REE50_w{:}.txt'.format(iwave))
iipsf = [1, 15, 30, 450, 465, 480, 870, 885, 900]
for iccd in range(1, 31):
r50 = REE50[iccd-1]
print(r50)
for ipsf in iipsf:
test_psfPlot(iccd, iwave, ipsf, psfPath, r50)
ObservationSim/PSF/PSFInterp/test/plotPSFMats_centroid.py deleted 100644 → 0
View file @ 72f88213
import sys
from itertools import islice
import mpi4py.MPI as MPI
import numpy as np
import matplotlib.pyplot as plt
import matplotlib as mpl
mpl.use('Agg')
import scipy.io
#import xlrd
from scipy import ndimage
sys.path.append("/public/home/weichengliang/lnData/CSST_new_framwork/csstPSF_20210108")
import PSFConfig as myConfig
import PSFUtil as myUtil
NPSF = 900
##############################
##############################
##############################
def test_psfPlot(iccd, ipsf, psfPath):
plt.cla()
plt.close('all')
#psf质心位置检查,图像切片程序检查
fig = plt.figure(figsize=(4,16))
plt.subplots_adjust(wspace=0.1, hspace=0.1)
psfSet = []
psfSetX= []
for iwave in range(1, 5):
psfInfo = myConfig.LoadPSF(iccd, iwave, ipsf, psfPath, InputMaxPixelPos=True, PSFCentroidWgt=False)
psfSet.append(psfInfo)
psfInfo = myConfig.LoadPSF(iccd, iwave, ipsf, psfPath, InputMaxPixelPos=True, PSFCentroidWgt=True)
psfSetX.append(psfInfo)
ax = plt.subplot(4,1,iwave)
psfMat = psfSetX[iwave-1]['psfMat']
pixsize = psfSet[iwave-1]['pixsize']*1e-3 #microns -> mm
print('psfMat-shape:', psfMat.shape)
npix = psfMat.shape[0]
pixCutEdge= int(npix/2-15)
plt.imshow((psfMat[pixCutEdge:npix-pixCutEdge, pixCutEdge:npix-pixCutEdge]), origin='lower')
plt.plot([npix/2-pixCutEdge, npix/2-pixCutEdge],[0, (npix/2-pixCutEdge)*2-1],'w--')
plt.plot([0, (npix/2-pixCutEdge)*2-1],[npix/2-pixCutEdge, npix/2-pixCutEdge],'w--')
imgX = psfSet[iwave-1]['image_x'] #in mm
imgY = psfSet[iwave-1]['image_y'] #in mm
#cenX = imgX +deltX
#cenY = imgY -deltY
deltX= psfSet[iwave-1]['centroid_x'] #in mm
deltY= psfSet[iwave-1]['centroid_y'] #in mm
cenPix_X = npix/2 + deltX/pixsize
cenPix_Y = npix/2 + deltY/pixsize
plt.plot([cenPix_X-pixCutEdge],[cenPix_Y-pixCutEdge], 'rx', ms = 20)
deltX= psfSetX[iwave-1]['centroid_x'] #in mm
deltY= psfSetX[iwave-1]['centroid_y'] #in mm
cenPix_X = npix/2 + deltX/pixsize
cenPix_Y = npix/2 + deltY/pixsize
plt.plot([cenPix_X-pixCutEdge],[cenPix_Y-pixCutEdge], 'bx', ms = 10, mew=2)
maxX = psfSet[iwave-1]['max_x']
maxY = psfSet[iwave-1]['max_y']
maxPix_X = npix/2 + maxX/pixsize
maxPix_Y = npix/2 + maxY/pixsize
plt.plot([maxPix_X-pixCutEdge],[maxPix_Y-pixCutEdge], 'r+', ms = 20)
img = psfMat/np.sum(psfMat)
y, x = ndimage.center_of_mass(img)
print(x, y)
print(cenPix_X, cenPix_Y)
plt.plot([x-pixCutEdge],[y-pixCutEdge], 'wx', ms = 5, mew=1)
plt.annotate('iccd={:}, iwave={:}, ipsf={:}'.format(iccd, iwave, ipsf), [0,(npix/2-pixCutEdge)*2-5], c='w', size=15)
plt.savefig('figs/psf_{:}_{:}.pdf'.format(iccd, ipsf))
print('psfSet has been loaded.')
print('Usage: psfSet[i][keys]')
print('psfSet.keys:', psfSet[0].keys())
##############################
##############################
##############################
if __name__=='__main__':
iccd = 2 #[1, 30]
iwave= 2 #[1, 4]
ipsf = 46 #[1, 100]
psfPath = '/data/simudata/CSSOSDataProductsSims/data/csstPSFdata/CSSOS_psf_20210108/CSST_psf_ciomp_2p5um_cycle3_ccr90'
iipsf = [1, 15, 30, 450, 465, 480, 870, 885, 900]
for iccd in range(1, 31):
for ipsf in iipsf:
test_psfPlot(iccd, ipsf, psfPath)
ObservationSim/PSF/__init__.py
View file @ 18bdecdb
from .PSFModel import PSFModel
from .PSFGauss import PSFGauss
from .PSFInterp.PSFInterp import PSFInterp
# from .PSFInterp.PSFInterp import PSFInterp
from .PSFInterp import PSFInterp
from .FieldDistortion import FieldDistortion
\ No newline at end of file
config/config_C3.yaml
View file @ 18bdecdb
......@@ -10,9 +10,9 @@
# 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/sim_code_release/CSST/test/"
work_dir: "/public/home/fangyuedong/test/CSST/workplace/"
work_dir: "/public/home/fangyuedong/current_csst/CSST/workplace/"
data_dir: "/data/simudata/CSSOSDataProductsSims/data/"
run_name: "TEST_astrometry_FD_30s"
run_name: "TEST_importlib"
# (Optional) a file of point list
# if you just want to run default pointing:
......@@ -35,7 +35,7 @@ run_option:
out_cat_only: NO
# Only simulate stars?
star_only: NO
star_only: YES
# Only simulate galaxies?
galaxy_only: NO
......@@ -52,7 +52,7 @@ obs_setting:
survey_type: "All"
# Exposure time [seconds]
exp_time: 30.
exp_time: 150.
# Observation starting date & time
# (Subject to change)
......@@ -75,7 +75,7 @@ obs_setting:
# - 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, 2, 3]
run_pointings: [1]
# Run specific chip(s):
# - give a list of indexes of chips: [ip_1, ip_2...]
......@@ -84,7 +84,7 @@ obs_setting:
run_chips: [1, 26, 29, 6, 7, 22, 23, 19, 20]
# Whether to enable astrometric modeling
astrometric_lib: "libshao.so"
# astrometric_lib: "libshao.so"
enable_astrometric_model: True
###############################################
......@@ -102,17 +102,17 @@ SED_templates_path:
galaxy_SED: "Templates/Galaxy/"
# TODO: should the following path settings be made hidden from user?
Efficiency_curve_path:
filter_eff: "Filters/"
ccd_eff: "Filter_CCD_Mirror/ccd/"
mirror_eff: "Filter_CCD_Mirror/mirror_ccdnote.txt"
# Efficiency_curve_path:
# filter_eff: "Filters/"
# ccd_eff: "Filter_CCD_Mirror/ccd/"
# mirror_eff: "Filter_CCD_Mirror/mirror_ccdnote.txt"
CR_data_path: "CRdata/"
sky_data_path: "skybackground/sky_emiss_hubble_50_50_A.dat"
# CR_data_path: "CRdata/"
# sky_data_path: "skybackground/sky_emiss_hubble_50_50_A.dat"
SLS_path:
SLS_conf: "CONF"
SLS_norm: "normalize_filter"
# SLS_path:
# SLS_conf: "CONF"
# SLS_norm: "normalize_filter"
###############################################
......@@ -132,7 +132,8 @@ psf_setting:
# path to PSF data
# NOTE: only valid for "Interp" PSF
psf_dir: "csstPSFdata/CSSOS_psf_20210108/CSST_psf_ciomp_2p5um_cycle3_ccr90"
# psf_dir: "csstPSFdata/CSSOS_psf_20210108/CSST_psf_ciomp_2p5um_cycle3_ccr90"
psf_dir: "/data/simudata/CSSOSDataProductsSims/data/csstPSFdata/psfCube"
# path to field-distortion model
# Note: only valid when ins_effects: field_dist is "ON"
......
run_C3.pbs
View file @ 18bdecdb
......@@ -16,4 +16,4 @@ NP=80
date
echo $NP
mpirun -np $NP python /public/home/fangyuedong/test/CSST/run_sim.py config_C3.yaml -c /public/home/fangyuedong/test/CSST/config
mpirun -np $NP python /public/home/fangyuedong/current_csst/CSST/run_sim.py config_C3.yaml -c /public/home/fangyuedong/current_csst/CSST/config
setup.py
View file @ 18bdecdb
......@@ -41,5 +41,14 @@ setup(name='CSSTSim',
# 'Cython>=0.29.21'
# 'numba>=0.50.1'
# ]
package_data = {
'ObservationSim.Astrometry.lib': ['libshao.so'],
'ObservationSim.MockObject.data': ['*.dat'],
'ObservationSim.Instrument.data': ['*.txt', '*.dat'],
'ObservationSim.Instrument.data.ccd': ['*.txt'],
'ObservationSim.Instrument.data.filters': ['*.txt', '*.list', '*.dat'],
'ObservationSim.Instrument.data.sls_conf': ['*.conf', '*.fits'],
'Catalog.data': ['*.fits'],
},
ext_modules = cythonize(extensions),
)
\ No newline at end of file
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