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Commit edd720e6 authored by Fang Yuedong's avatar Fang Yuedong
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Merge branch 'develop'

parents 959f0ebc 8df06b27
release_v3.0 current_stable_for_tests develop master revert-914004c1 v3.1.0 v3.0.0
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+1412 -137
tests/det_effect_unit_test.py
+ 35
- 25
View file @ edd720e6
...@@ -6,18 +6,28 @@ import matplotlib.pyplot as plt ...@@ -6,18 +6,28 @@ import matplotlib.pyplot as plt
import os,sys,math,copy import os,sys,math,copy
from numpy.random import Generator, PCG64 from numpy.random import Generator, PCG64
import warnings import warnings
from astropy.io import fits
warnings.filterwarnings("ignore", '.*Numba.*',) warnings.filterwarnings("ignore", '.*Numba.*',)
width = 9216 width = 9216
height = 9232 height = 9232
if os.path.isdir('./output/'):
pass
else:
os.mkdir('./output/')
class DetTest(unittest.TestCase): class DetTest(unittest.TestCase):
def __init__(self, methodName='runTest'):
super(DetTest,self).__init__(methodName)
self.filePath('csst_fz_gc0')
def filePath(self, file_name):
self.datafn = os.path.join(os.getenv('UNIT_TEST_DATA_ROOT'), file_name)
self.outDataFn = os.path.join(self.datafn,'output')
if os.path.isdir(self.outDataFn):
pass
else:
os.mkdir(self.outDataFn)
def test_prnu(self): def test_prnu(self):
''' '''
Unit test for PRNU. Expected result: a randomized GS image contains PRNU with sigma=0.01, mean=1. Unit test for PRNU. Expected result: a randomized GS image contains PRNU with sigma=0.01, mean=1.
...@@ -64,12 +74,12 @@ class DetTest(unittest.TestCase): ...@@ -64,12 +74,12 @@ class DetTest(unittest.TestCase):
img.addNoise(galsim.GaussianNoise(sigma=7)) img.addNoise(galsim.GaussianNoise(sigma=7))
# plt.imshow(img.array) # plt.imshow(img.array)
# plt.show() # plt.show()
filename1 = os.path.join('output','test_satu_initimg.fits') filename1 = os.path.join(self.outDataFn,'test_satu_initimg.fits')
img.write(filename1) img.write(filename1)
newimg = Effects.SaturBloom(img, fullwell=9e4) newimg = Effects.SaturBloom(img, fullwell=9e4)
# plt.imshow(newimg.array) # plt.imshow(newimg.array)
# plt.show() # plt.show()
filename2 = os.path.join('output','test_satu_bleedimg.fits') filename2 = os.path.join(self.outDataFn,'test_satu_bleedimg.fits')
newimg.write(filename2) newimg.write(filename2)
del img,newimg, star del img,newimg, star
...@@ -79,16 +89,16 @@ class DetTest(unittest.TestCase): ...@@ -79,16 +89,16 @@ class DetTest(unittest.TestCase):
''' '''
imgarr = np.arange(1,9e4,4).reshape((150,150)) imgarr = np.arange(1,9e4,4).reshape((150,150))
img = galsim.Image(copy.deepcopy(imgarr)) img = galsim.Image(copy.deepcopy(imgarr))
filename1 = os.path.join('output','test_nonlinear_initimg.fits') filename1 = os.path.join(self.outDataFn,'test_nonlinear_initimg.fits')
img.write(filename1) img.write(filename1)
newimg = Effects.NonLinearity(img, beta1=5E-7, beta2=0) newimg = Effects.NonLinearity(img, beta1=5E-7, beta2=0)
filename2 = os.path.join('output','test_nonlinear_finalimg.fits') filename2 = os.path.join(self.outDataFn,'test_nonlinear_finalimg.fits')
newimg.write(filename2) newimg.write(filename2)
plt.scatter(imgarr.flatten(), newimg.array.flatten(), s=2, alpha=0.5) plt.scatter(imgarr.flatten(), newimg.array.flatten(), s=2, alpha=0.5)
plt.plot([-1e3,9e4],[-1e3,9e4],color='black', lw=1, ls='--') plt.plot([-1e3,9e4],[-1e3,9e4],color='black', lw=1, ls='--')
plt.xlabel('input (e-)') plt.xlabel('input (e-)')
plt.ylabel('output (e-)') plt.ylabel('output (e-)')
plt.savefig('./output/test_nonlinearity.png', dpi=200) plt.savefig(os.path.join(self.outDataFn,'test_nonlinearity.png'), dpi=200)
plt.show() plt.show()
del img,newimg,imgarr del img,newimg,imgarr
...@@ -97,35 +107,35 @@ class DetTest(unittest.TestCase): ...@@ -97,35 +107,35 @@ class DetTest(unittest.TestCase):
rgbadpix = Generator(PCG64(20210911)) rgbadpix = Generator(PCG64(20210911))
badfraction = 5E-5*(rgbadpix.random()*0.5+0.7) badfraction = 5E-5*(rgbadpix.random()*0.5+0.7)
img = Effects.DefectivePixels(img, IfHotPix=True, IfDeadPix=True, fraction=badfraction, seed=20210911, biaslevel=0) img = Effects.DefectivePixels(img, IfHotPix=True, IfDeadPix=True, fraction=badfraction, seed=20210911, biaslevel=0)
img.write('./output/test_badpixel_HtrDtr.fits') img.write(os.path.join(self.outDataFn,'test_badpixel_HtrDtr.fits'))
del img del img
def test_badpixel_HfsDtr(self): def test_badpixel_HfsDtr(self):
img = galsim.Image(500,500,init_value=1000) img = galsim.Image(500,500,init_value=1000)
rgbadpix = Generator(PCG64(20210911)) rgbadpix = Generator(PCG64(20210911))
badfraction = 5E-5*(rgbadpix.random()*0.5+0.7) badfraction = 5E-5*(rgbadpix.random()*0.5+0.7)
img = Effects.DefectivePixels(img, IfHotPix=False, IfDeadPix=True, fraction=badfraction, seed=20210911, biaslevel=0) img = Effects.DefectivePixels(img, IfHotPix=False, IfDeadPix=True, fraction=badfraction, seed=20210911, biaslevel=0)
img.write('./output/test_badpixel_HfsDtr.fits') img.write(os.path.join(self.outDataFn,'test_badpixel_HfsDtr.fits'))
del img del img
def test_badpixel_HtrDfs(self): def test_badpixel_HtrDfs(self):
img = galsim.Image(500,500,init_value=1000) img = galsim.Image(500,500,init_value=1000)
rgbadpix = Generator(PCG64(20210911)) rgbadpix = Generator(PCG64(20210911))
badfraction = 5E-5*(rgbadpix.random()*0.5+0.7) badfraction = 5E-5*(rgbadpix.random()*0.5+0.7)
img = Effects.DefectivePixels(img, IfHotPix=True, IfDeadPix=False, fraction=badfraction, seed=20210911, biaslevel=0) img = Effects.DefectivePixels(img, IfHotPix=True, IfDeadPix=False, fraction=badfraction, seed=20210911, biaslevel=0)
img.write('./output/test_badpixel_HtrDfs.fits') img.write(os.path.join(self.outDataFn,'test_badpixel_HtrDfs.fits'))
del img del img
def test_badpixel_HfsDfs(self): def test_badpixel_HfsDfs(self):
img = galsim.Image(500,500,init_value=1000) img = galsim.Image(500,500,init_value=1000)
rgbadpix = Generator(PCG64(20210911)) rgbadpix = Generator(PCG64(20210911))
badfraction = 5E-5*(rgbadpix.random()*0.5+0.7) badfraction = 5E-5*(rgbadpix.random()*0.5+0.7)
img = Effects.DefectivePixels(img, IfHotPix=False, IfDeadPix=False, fraction=badfraction, seed=20210911, biaslevel=0) img = Effects.DefectivePixels(img, IfHotPix=False, IfDeadPix=False, fraction=badfraction, seed=20210911, biaslevel=0)
img.write('./output/test_badpixel_HfsDfs.fits') img.write(os.path.join(self.outDataFn,'test_badpixel_HfsDfs.fits'))
del img del img
def test_badlines(self): def test_badlines(self):
img = galsim.Image(500,500,init_value=-1000) img = galsim.Image(500,500,init_value=-1000)
img.addNoise(galsim.GaussianNoise(sigma=7)) img.addNoise(galsim.GaussianNoise(sigma=7))
newimg = Effects.BadColumns(copy.deepcopy(img), seed=20210911) newimg = Effects.BadColumns(copy.deepcopy(img), seed=20210911)
newimg.write('./output/test_badlines.fits') newimg.write(os.path.join(self.outDataFn,'test_badlines.fits'))
del newimg,img del newimg,img
def test_cte(self): def test_cte(self):
...@@ -134,8 +144,8 @@ class DetTest(unittest.TestCase): ...@@ -134,8 +144,8 @@ class DetTest(unittest.TestCase):
img.array[150,150] = 3e4 img.array[150,150] = 3e4
newimgcol = Effects.CTE_Effect(copy.deepcopy(img),direction='column') newimgcol = Effects.CTE_Effect(copy.deepcopy(img),direction='column')
newimgrow = Effects.CTE_Effect(copy.deepcopy(img),direction='row') newimgrow = Effects.CTE_Effect(copy.deepcopy(img),direction='row')
newimgcol.write('./output/test_ctecol.fits') newimgcol.write(os.path.join(self.outDataFn,'test_ctecol.fits'))
newimgrow.write('./output/test_cterow.fits') newimgrow.write(os.path.join(self.outDataFn,'test_cterow.fits'))
del img,newimgcol,newimgrow del img,newimgcol,newimgrow
def test_readnoise(self): def test_readnoise(self):
...@@ -144,7 +154,7 @@ class DetTest(unittest.TestCase): ...@@ -144,7 +154,7 @@ class DetTest(unittest.TestCase):
rng_readout = galsim.BaseDeviate(seed) rng_readout = galsim.BaseDeviate(seed)
readout_noise = galsim.GaussianNoise(rng=rng_readout, sigma=5) readout_noise = galsim.GaussianNoise(rng=rng_readout, sigma=5)
img.addNoise(readout_noise) img.addNoise(readout_noise)
img.write('./output/test_readnoise.fits') img.write(os.path.join(self.outDataFn,'test_readnoise.fits'))
stdval = np.std(img.array) stdval = np.std(img.array)
self.assertTrue(np.abs(stdval-5)<0.01*5) self.assertTrue(np.abs(stdval-5)<0.01*5)
print('\nUnit test for readout noise has been passed.') print('\nUnit test for readout noise has been passed.')
...@@ -158,8 +168,8 @@ class DetTest(unittest.TestCase): ...@@ -158,8 +168,8 @@ class DetTest(unittest.TestCase):
def test_apply16gains(self): def test_apply16gains(self):
img = galsim.Image(500,500,init_value=100) img = galsim.Image(500,500,init_value=100)
img = Effects.ApplyGainNonUniform16(img, gain=1.5, nsecy=2, nsecx=8, seed=202102) img,_ = Effects.ApplyGainNonUniform16(img, gain=1.5, nsecy=2, nsecx=8, seed=202102)
img.write("./output/test_apply16gains.fits") img.write(os.path.join(self.outDataFn,'test_apply16gains.fits'))
rightedge = int(500/8)*8 rightedge = int(500/8)*8
print('gain=%6.2f' % 1.5) print('gain=%6.2f' % 1.5)
meanimg = np.mean(img.array[:,:rightedge]) meanimg = np.mean(img.array[:,:rightedge])
...@@ -172,20 +182,20 @@ class DetTest(unittest.TestCase): ...@@ -172,20 +182,20 @@ class DetTest(unittest.TestCase):
def test_cosmicray(self): def test_cosmicray(self):
attachedSizes = np.loadtxt('../ObservationSim/Instrument/Chip/wfc-cr-attachpixel.dat') attachedSizes = np.loadtxt(os.path.join(self.datafn,'wfc-cr-attachpixel.dat'))
cr_map = Effects.produceCR_Map( cr_map,_ = Effects.produceCR_Map(
xLen=500, yLen=500, exTime=150+0.5*40, xLen=500, yLen=500, exTime=150+0.5*40,
cr_pixelRatio=0.003*(1+0.5*40/150), cr_pixelRatio=0.003*(1+0.5*40/150),
gain=1, attachedSizes=attachedSizes, seed=20210911) gain=1, attachedSizes=attachedSizes, seed=20210911)
crimg = galsim.Image(cr_map) crimg = galsim.Image(cr_map)
crimg.write('./output/test_cosmicray.fits') crimg.write(os.path.join(self.outDataFn,'test_cosmicray.fits'))
del cr_map,crimg del cr_map,crimg
def test_shutter(self): def test_shutter(self):
img = galsim.Image(5000,5000,init_value=1000) img = galsim.Image(5000,5000,init_value=1000)
shuttimg = Effects.ShutterEffectArr(img, t_exp=150, t_shutter=1.3, dist_bearing=735, dt=1E-3) # shutter effect normalized image for this chip shuttimg = Effects.ShutterEffectArr(img, t_exp=150, t_shutter=1.3, dist_bearing=735, dt=1E-3) # shutter effect normalized image for this chip
img *= shuttimg img *= shuttimg
img.write('./output/test_shutter.fits') img.write(os.path.join(self.outDataFn,'test_shutter.fits'))
del img del img
def test_vignette(self): def test_vignette(self):
...@@ -195,7 +205,7 @@ class DetTest(unittest.TestCase): ...@@ -195,7 +205,7 @@ class DetTest(unittest.TestCase):
img.setOrigin(10000,10000) img.setOrigin(10000,10000)
flat_img = Effects.MakeFlatSmooth(img.bounds,20210911) flat_img = Effects.MakeFlatSmooth(img.bounds,20210911)
flat_normal = flat_img / np.mean(flat_img.array) flat_normal = flat_img / np.mean(flat_img.array)
flat_normal.write('./output/test_vignette.fits') flat_normal.write(os.path.join(self.outDataFn,'test_vignette.fits'))
del flat_img,img,flat_normal del flat_img,img,flat_normal
......
tests/testData/csst_fz_gc0/CSST_GI2.conf 0 → 100644
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- 0
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INSTRUMETN CSSTSLS
GRATING GI
WAVELENGTH 6200 10000
# 1 order (BEAM A) *******************
BEAMA 505 1238
MMAG_EXTRACT_A 30
MMAG_MARK_A 30
#
# Trace description
#
DYDX_ORDER_A 1
DYDX_A_0 1.6521968560197104 -0.00023636575255565063 0.00014657966669906052 5.5353251643711546e-08 -6.875491197053945e-09 1.898528225132234e-09
DYDX_A_1 -0.00823033845070988 8.828905689160072e-08 -4.959096708134394e-07 -1.9481266745599912e-11 1.1236282464271542e-11 -7.748796599795913e-12
#
# X and Y Offsets
#
XOFF_A 0.0
YOFF_A 0.0
#
# Dispersion solution
#
DISP_ORDER_A 1
DLDP_A_0 368.406778602958 0.003046565833724366 0.0008085615398225785 -2.139787644130709e-07 -1.1201107471275321e-07 -3.4449662405229706e-08
DLDP_A_1 8.461359683949652 0.00022163929626988009 -6.114607283280979e-07 7.123049245778616e-09 1.99766396430199e-11 2.5539201322842942e-11
#
SENSITIVITY_A GI.Throughput.1st.fits
#
# 0 order (BEAM B) *******************
BEAMB -121 80
MMAG_EXTRACT_B 30
MMAG_MARK_B 30
#
# Trace description
#
DYDX_ORDER_B 0
DYDX_B_0 -0.15118122059806027 -0.00014883011863745443 7.638889641475754e-05 3.208928684076908e-08 -2.743527540058062e-16 -5.917502574749109e-09
#
# X and Y Offsets
#
XOFF_B 0.0
YOFF_B 0.0
#
# Dispersion solution
#
DISP_ORDER_B 1
DLDP_B_0 -69799.9181918991 7.954241458130043e-08 -4.318951729587184e-08 2.591993568563933e-12 -5.884436166492418e-12 3.83253047082687e-12
DLDP_B_1 -3799.99600104444 7.250278281031939e-09 -3.3418691029874735e-09 -1.6236581010798935e-12 -4.3502364485117337e-13 4.507009220450333e-13
#
SENSITIVITY_B GI.Throughput.0st.fits
#
# -1 order (BEAM C) *******************
BEAMC -1251 -537
MMAG_EXTRACT_C 30
MMAG_MARK_C 30
#
# Trace description
#
DYDX_ORDER_C 1
DYDX_C_0 1.6274259827507076 -0.00034821339283356466 0.0002392999867887435 1.5635809977657976e-07 -7.514174027001749e-09 -6.566395011125117e-09
DYDX_C_1 -5.3689415286860876e-05 -1.912489940030657e-07 -1.070383333548475e-08 1.53386647062175e-10 -1.1208241918489809e-11 3.406912464353884e-12
#
# X and Y Offsets
#
XOFF_C 0.0
YOFF_C 0.0
#
# Dispersion solution
#
DISP_ORDER_C 1
DLDP_C_0 -132.55108204545758 -0.002194041658487836 -0.0011882168059149318 4.510589778063266e-08 5.420547634024377e-08 9.930897689686617e-08
DLDP_C_1 -8.799340620412947 -0.00021774440141256442 -9.53499834632785e-07 -6.889561983057868e-09 -1.6142159956150814e-10 1.0347079457327646e-10
#
SENSITIVITY_C GI.Throughput.-1st.fits
#
# 2 order (BEAM D) *******************
BEAMD 1154 2507
MMAG_EXTRACT_D 30
MMAG_MARK_D 30
#
# Trace description
#
DYDX_ORDER_D 1
DYDX_D_0 6.882799280484086 -0.00027753891131284954 0.0004922039820404395 3.082997123523641e-08 -9.49966186877231e-09 -2.3656818322711693e-09
DYDX_D_1 -0.011947813534498112 4.093696016714032e-08 -7.435107573317389e-07 2.5528541317977112e-12 3.192792142602198e-12 -2.453919520892182e-12
#
# X and Y Offsets
#
XOFF_D 0.0
YOFF_D 0.0
#
# Dispersion solution
#
DISP_ORDER_D 1
DLDP_D_0 681.5215546431494 -0.003828618628269481 0.00025066858071110036 8.289914582311179e-08 -8.404758131147936e-08 2.9680890659588283e-08
DLDP_D_1 3.8798704838712443 0.0001054229718827677 -6.676804799370928e-08 3.250115236230527e-09 1.9094002846781994e-11 -2.387851784113332e-11
#
SENSITIVITY_D GI.Throughput.2st.fits
#
# -2 order (BEAM E) *******************
BEAME -2429 -1162
MMAG_EXTRACT_E 30
MMAG_MARK_E 30
#
# Trace description
#
DYDX_ORDER_E 1
DYDX_E_0 7.677233822131253 -0.00048041060058740204 0.0004956385735024366 6.868585247565035e-08 -9.175237278696478e-09 1.2566962458208905e-09
DYDX_E_1 0.003983370254635055 -1.232787560255339e-08 2.1234388976109016e-07 1.6204618268328708e-11 3.983819645370279e-12 4.263520014579825e-12
#
# X and Y Offsets
#
XOFF_E 0.0
YOFF_E 0.0
#
# Dispersion solution
#
DISP_ORDER_E 1
DLDP_E_0 225.51253672373838 0.004993681854364764 -0.0005008288340946528 -3.699489889412266e-07 9.185967746730138e-10 3.449301385107925e-08
DLDP_E_1 -4.201429796832916 -0.0001002659886793457 -1.5067099385104427e-07 -3.422412459135902e-09 -4.7864621219451994e-11 1.2110924433274547e-11
#
SENSITIVITY_E GI.Throughput.-2st.fits
#
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tests/testData/csst_fz_gc0/Straylight_test.dat 0 → 100644
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# ra dec lon(ecliptic) lat(ecliptic) pos_angle time(julian) sat_x sat_y sat_z sun_x sun_y sun_z moon_x moon_y moon_z sat_vx sat_vy sat_vz exp_time isDeep
244.972773 39.895901 229.6933 59.8819 109.59452000342756 2460539.75361268 -2218.3663 -5817.8559 2597.9467 -123291049.6698 80698075.2698 34981832.8099 129217.8762 -306193.0456 -168270.0801 5.058199026407237 -3.85818799871231 -4.322908628205369 150.0 -1.0
245.19954 39.834237 230.0613 59.8819 109.42155570115811 2460539.75590434 -1169.3163 -6427.7801 1683.3766 -123294376.7625 80693691.118 34979932.4325 129409.3308 -306117.8806 -168231.5896 5.495628791263698 -2.2766122251687193 -4.877784128846088 150.0 -1.0
245.376849 40.538238 229.8433 60.5906 109.72521611662427 2460543.53323198 -4088.9785 -4865.03 2348.6771 -128524732.1114 73309196.4688 31779164.5982 349033.2322 -76382.1208 -45844.3874 3.513272716954816 -5.1280401490294025 -4.4997767748736806 150.0 -1.0
245.939689 40.198882 230.894 60.4134 109.17526390397103 2460543.53552584 -3296.1182 -5750.7175 1405.5287 -128527752.3153 73304618.787 31777180.4968 349086.0107 -76197.4206 -45744.3873 4.456135176128555 -3.773136335412346 -4.9799999694710095 150.0 -1.0
246.809804 39.784988 232.438 60.2362 108.39295915033918 2460543.53783608 -2330.5509 -6351.0086 384.2962 -128530793.8798 73300008.3241 31775182.1872 349139.047 -76011.3767 -45643.6581 5.179717934292967 -2.216473482430956 -5.210878017528557 150.0 -1.0
247.037801 39.727005 232.8099 60.2362 108.21592927146807 2460543.54012774 -1255.3999 -6627.1633 -648.2573 -128533810.807 73295434.8053 31773199.8903 349191.5393 -75826.8029 -45543.7232 5.637231322125444 -0.5605653312886716 -5.176883766496303 150.0 -1.0
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config/config_NGP.yaml → tests/testData/csst_fz_gc0/config_C6.yaml
+ 63
- 52
View file @ edd720e6
...@@ -2,7 +2,7 @@ ...@@ -2,7 +2,7 @@
############################################### ###############################################
# #
# Configuration file for CSST simulation # Configuration file for CSST simulation
# CSST-Sim Group, 2023/04/25 # CSST-Sim Group, 2021/10/07
# #
############################################### ###############################################
...@@ -10,8 +10,17 @@ ...@@ -10,8 +10,17 @@
# Can add some of the command-line arguments here as well; # Can add some of the command-line arguments here as well;
# OK to pass either way or both, as long as they are consistent # OK to pass either way or both, as long as they are consistent
work_dir: "/share/home/fangyuedong/test_psf_rot/csst-simulation/workplace/" work_dir: "/share/home/fangyuedong/test_psf_rot/csst-simulation/workplace/"
# work_dir: "/share/"
data_dir: "/share/simudata/CSSOSDataProductsSims/data/" data_dir: "/share/simudata/CSSOSDataProductsSims/data/"
run_name: "NGP_C3" run_name: "C6_photometry"
# (Optional) a file of point list
# if you just want to run default pointing:
# - pointing_dir: null
# - pointing_file: null
pointing_dir: "/share/simudata/CSSOSDataProductsSims/data/"
# pointing_dir: "/share/home/fangyuedong/test_psf_rot/csst-simulation/workplace/"
pointing_file: "pointing_radec_246.5_40.dat"
# Whether to use MPI # Whether to use MPI
run_option: run_option:
...@@ -25,32 +34,12 @@ run_option: ...@@ -25,32 +34,12 @@ run_option:
# If yes, no imaging simulation will run # If yes, no imaging simulation will run
out_cat_only: NO out_cat_only: NO
###############################################
# Catalog setting
###############################################
# Configure your catalog: options to be implemented
# in the corresponding (user defined) 'Catalog' class
catalog_options:
input_path:
cat_dir: "OnOrbitCalibration/CTargets20211231"
star_cat: "CT-NGP_r1.8_G28.hdf5"
galaxy_cat: "galaxyCats_r_3.0_healpix_shift_192.859500_27.128300.hdf5"
SED_templates_path:
star_SED: "Catalog_20210126/SpecLib.hdf5"
galaxy_SED: "Templates/Galaxy/"
# Only simulate stars? # Only simulate stars?
star_only: NO star_only: NO
# Only simulate galaxies? # Only simulate galaxies?
galaxy_only: NO galaxy_only: NO
# rotate galaxy ellipticity
rotateEll: 0. # [degree]
seed_Av: 121212 # Seed for generating random intrinsic extinction
############################################### ###############################################
# Observation setting # Observation setting
############################################### ###############################################
...@@ -59,14 +48,14 @@ obs_setting: ...@@ -59,14 +48,14 @@ obs_setting:
# Options for survey types: # Options for survey types:
# "Photometric": simulate photometric chips only # "Photometric": simulate photometric chips only
# "Spectroscopic": simulate slitless spectroscopic chips only # "Spectroscopic": simulate slitless spectroscopic chips only
# "FGS": simulate FGS chips only (31-42)
# "All": simulate full focal plane # "All": simulate full focal plane
survey_type: "Photometric" survey_type: "Spectroscopic"
# Exposure time [seconds] # Exposure time [seconds]
exp_time: 150. exp_time: 150.
# Observation starting date & time # Observation starting date & time
# (Subject to change)
date_obs: "210525" # [yymmdd] date_obs: "210525" # [yymmdd]
time_obs: "120000" # [hhmmss] time_obs: "120000" # [hhmmss]
...@@ -74,16 +63,10 @@ obs_setting: ...@@ -74,16 +63,10 @@ obs_setting:
# Note: NOT valid when a pointing list file is specified # Note: NOT valid when a pointing list file is specified
ra_center: 192.8595 ra_center: 192.8595
dec_center: 27.1283 dec_center: 27.1283
# Image rotation [degree] # Image rotation [degree]
image_rot: -113.4333 image_rot: -113.4333
# (Optional) a file of point list
# if you just want to run default pointing:
# - pointing_dir: null
# - pointing_file: null
pointing_dir: "/share/simudata/CSSOSDataProductsSims/data/"
pointing_file: "pointing_test_NGP_2.17.dat"
# Number of calibration pointings # Number of calibration pointings
np_cal: 0 np_cal: 0
...@@ -91,7 +74,7 @@ obs_setting: ...@@ -91,7 +74,7 @@ obs_setting:
# - give a list of indexes of pointings: [ip_1, ip_2...] # - give a list of indexes of pointings: [ip_1, ip_2...]
# - run all pointings: null # - run all pointings: null
# Note: only valid when a pointing list is specified # Note: only valid when a pointing list is specified
run_pointings: [0, 1, 2] run_pointings: null
# Run specific chip(s): # Run specific chip(s):
# - give a list of indexes of chips: [ip_1, ip_2...] # - give a list of indexes of chips: [ip_1, ip_2...]
...@@ -100,6 +83,7 @@ obs_setting: ...@@ -100,6 +83,7 @@ obs_setting:
run_chips: null run_chips: null
# Whether to enable astrometric modeling # Whether to enable astrometric modeling
# astrometric_lib: "libshao.so"
enable_astrometric_model: True enable_astrometric_model: True
# Cut by saturation magnitude in which band? # Cut by saturation magnitude in which band?
...@@ -111,6 +95,20 @@ obs_setting: ...@@ -111,6 +95,20 @@ obs_setting:
# limiting magnitude margin # limiting magnitude margin
mag_lim_margin: +1.0 mag_lim_margin: +1.0
###############################################
# Input path setting
###############################################
# Default path settings for WIDE survey simulation
input_path:
cat_dir: "Catalog_C6_20221212"
star_cat: "C6_MMW_GGC_Astrometry_healpix.hdf5"
galaxy_cat: "cat2CSSTSim_bundle/"
SED_templates_path:
star_SED: "Catalog_20210126/SpecLib.hdf5"
galaxy_SED: "Catalog_C6_20221212/sedlibs/"
############################################### ###############################################
# PSF setting # PSF setting
############################################### ###############################################
...@@ -130,6 +128,12 @@ psf_setting: ...@@ -130,6 +128,12 @@ psf_setting:
# NOTE: only valid for "Interp" PSF # NOTE: only valid for "Interp" PSF
psf_dir: "/share/simudata/CSSOSDataProductsSims/data/psfCube" psf_dir: "/share/simudata/CSSOSDataProductsSims/data/psfCube"
# path to field-distortion model
# Note: only valid when ins_effects: field_dist is "ON"
fd_path: "FieldDistModelGlobal_v1.0.pickle"
# sigma_spin: 0.0 # psf spin?
############################################### ###############################################
# Shear setting # Shear setting
############################################### ###############################################
...@@ -138,19 +142,28 @@ shear_setting: ...@@ -138,19 +142,28 @@ shear_setting:
# Options to generate mock shear field: # Options to generate mock shear field:
# "constant": all galaxies are assigned a constant reduced shear # "constant": all galaxies are assigned a constant reduced shear
# "catalog": from catalog # "catalog": from catalog
shear_type: "constant" # "extra": from seprate file
shear_type: "catalog"
# For constant shear filed # For constant shear filed
reduced_g1: 0.026 reduced_g1: 0.
reduced_g2: 0.015 reduced_g2: 0.
# Representation of the shear vector?
reShear: "E"
# rotate galaxy ellipticity
rotateEll: 0. # [degree]
# Extra shear catalog
# (currently not used)
# shear_cat: "mockShear.cat"
############################################### ###############################################
# Instrumental effects setting # Instrumental effects setting
############################################### ###############################################
ins_effects: ins_effects:
# switches # switches
# Note: bias_16channel, gain_16channel, and shutter_effect
# is currently not applicable to "FGS" observations
field_dist: ON # Whether to add field distortions field_dist: ON # Whether to add field distortions
add_back: ON # Whether to add sky background add_back: ON # Whether to add sky background
add_dark: ON # Whether to add dark noise add_dark: ON # Whether to add dark noise
...@@ -171,20 +184,20 @@ ins_effects: ...@@ -171,20 +184,20 @@ ins_effects:
add_deadpixels: ON # Whether to add dead(dark) pixels add_deadpixels: ON # Whether to add dead(dark) pixels
bright_fatter: ON # Whether to simulate Brighter-Fatter (also diffusion) effect bright_fatter: ON # Whether to simulate Brighter-Fatter (also diffusion) effect
# Values: # values
# default values have been defined individually for each chip in: dark_exptime: 300 # Exposure time for dark current frames [seconds]
# ObservationSim/Instrument/data/ccd/chip_definition.json flat_exptime: 150 # Exposure time for flat-fielding frames [seconds]
# Set them here will override the default values readout_time: 40 # The read-out time for each channel [seconds]
# dark_exptime: 300 # Exposure time for dark current frames [seconds] df_strength: 2.3 # Sillicon sensor diffusion strength
# flat_exptime: 150 # Exposure time for flat-fielding frames [seconds] bias_level: 500 # bias level [e-/pixel]
# readout_time: 40 # The read-out time for each channel [seconds] gain: 1.1 # Gain
# df_strength: 2.3 # Sillicon sensor diffusion strength full_well: 90000 # Full well depth [e-]
# bias_level: 500 # bias level [e-/pixel] NBias: 1 # Number of bias frames to be exported for each exposure
# gain: 1.1 # Gain NDark: 1 # Number of dark frames to be exported for each exposure
# full_well: 90000 # Full well depth [e-] NFlat: 1 # Number of flat frames to be exported for each exposure
############################################### ###############################################
# Output options (for calibration pointings only) # Output options
############################################### ###############################################
output_setting: output_setting:
readout16: OFF # Whether to export as 16 channels (subimages) with pre- and over-scan readout16: OFF # Whether to export as 16 channels (subimages) with pre- and over-scan
...@@ -193,14 +206,12 @@ output_setting: ...@@ -193,14 +206,12 @@ output_setting:
dark_output: ON # Whether to export the combined dark current files dark_output: ON # Whether to export the combined dark current files
flat_output: ON # Whether to export the combined flat-fielding files flat_output: ON # Whether to export the combined flat-fielding files
prnu_output: OFF # Whether to export the PRNU (pixel-to-pixel flat-fielding) files prnu_output: OFF # Whether to export the PRNU (pixel-to-pixel flat-fielding) files
NBias: 1 # Number of bias frames to be exported for each exposure
NDark: 1 # Number of dark frames to be exported for each exposure
NFlat: 1 # Number of flat frames to be exported for each exposure
############################################### ###############################################
# Random seeds # Random seeds
############################################### ###############################################
random_seeds: random_seeds:
seed_Av: 121212 # Seed for generating random intrinsic extinction
seed_poisson: 20210601 # Seed for Poisson noise seed_poisson: 20210601 # Seed for Poisson noise
seed_CR: 20210317 # Seed for generating random cosmic ray maps seed_CR: 20210317 # Seed for generating random cosmic ray maps
seed_flat: 20210101 # Seed for generating random flat fields seed_flat: 20210101 # Seed for generating random flat fields
......
tests/testData/csst_fz_gc0/wfc-cr-attachpixel.dat 0 → 100755
+ 42
- 0
View file @ edd720e6
# Graph from wfc-cr-attach, page 1
0.00000 0.004684
0.5031 0.004684
0.5283 0.01873
1.509 0.01873
1.534 0.09327
2.490 0.09327
2.515 0.1034
3.496 0.1034
3.522 0.2440
4.503 0.2440
4.528 0.1107
5.509 0.1107
5.534 0.1013
6.490 0.1013
6.515 0.06090
7.496 0.06090
7.522 0.05834
8.503 0.05834
8.528 0.03875
9.509 0.03875
9.534 0.03066
10.49 0.03066
10.51 0.01788
11.47 0.01788
11.49 0.01831
13.50 0.01831
13.53 0.01235
13.53 0.01235
14.49 0.01235
14.51 0.01064
15.49 0.01064
15.52 0.008091
16.50 0.008091
16.52 0.004684
17.48 0.004684
17.53 0.003833
18.49 0.003833
18.51 0.005536
19.47 0.005536
19.52 0.004684
20.00 0.004684
tests/test_BF_CTE.py 0 → 100644
+ 144
- 0
View file @ edd720e6
import unittest
import sys,os,math
from itertools import islice
import numpy as np
import copy
import ctypes
import galsim
import yaml
from astropy.io import fits
from ObservationSim.Instrument import Chip, Filter, FilterParam, FocalPlane
from ObservationSim.Instrument.Chip import ChipUtils as chip_utils
#from ObservationSim.sim_steps import add_brighter_fatter_CTE
from ObservationSim.Instrument.Chip.libCTI.CTI_modeling import CTI_sim
try:
import importlib.resources as pkg_resources
except ImportError:
# Try backported to PY<37 'importlib_resources'
import importlib_resources as pkg_resources
### test FUNCTION --- START ###
def add_brighter_fatter(img):
#Inital dynamic lib
try:
with pkg_resources.files('ObservationSim.Instrument.Chip.libBF').joinpath("libmoduleBF.so") as lib_path:
lib_bf = ctypes.CDLL(lib_path)
except AttributeError:
with pkg_resources.path('ObservationSim.Instrument.Chip.libBF', "libmoduleBF.so") as lib_path:
lib_bf = ctypes.CDLL(lib_path)
lib_bf.addEffects.argtypes = [ctypes.c_int, ctypes.c_int, ctypes.POINTER(ctypes.c_float), ctypes.POINTER(ctypes.c_float), ctypes.c_int]
# Set bit flag
bit_flag = 1
bit_flag = bit_flag | (1 << 2)
nx, ny = img.array.shape
nn = nx * ny
arr_ima= (ctypes.c_float*nn)()
arr_imc= (ctypes.c_float*nn)()
arr_ima[:]= img.array.reshape(nn)
arr_imc[:]= np.zeros(nn)
lib_bf.addEffects(nx, ny, arr_ima, arr_imc, bit_flag)
img.array[:, :] = np.reshape(arr_imc, [nx, ny])
del arr_ima, arr_imc
return img
### test FUNCTION --- END ###
def defineCCD(iccd, config_file):
with open(config_file, "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(chipID=iccd, config=config)
chip.img = galsim.ImageF(400, 200) #galsim.ImageF(chip.npix_x, chip.npix_y)
focal_plane = FocalPlane(chip_list=[iccd])
chip.img.wcs= focal_plane.getTanWCS(192.8595, 27.1283, -113.4333*galsim.degrees, chip.pix_scale)
return chip
def defineFilt(chip):
filter_param = FilterParam()
filter_id, filter_type = chip.getChipFilter()
filt = Filter(
filter_id=filter_id,
filter_type=filter_type,
filter_param=filter_param,
ccd_bandpass=chip.effCurve)
bandpass_list = filt.bandpass_sub_list
return filt
class detModule_coverage(unittest.TestCase):
def __init__(self, methodName='runTest'):
super(detModule_coverage, self).__init__(methodName)
##self.dataPath = "/public/home/chengliang/CSSOSDataProductsSims/csst-simulation/tests/UNIT_TEST_DATA" ##os.path.join(os.getenv('UNIT_TEST_DATA_ROOT'), 'csst_fz_gc1')
self.dataPath = os.path.join(os.getenv('UNIT_TEST_DATA_ROOT'), 'csst_fz_msc')
self.iccd = 1
def test_add_brighter_fatter(self):
config_file = os.path.join(self.dataPath, 'config_test.yaml')
chip = defineCCD(self.iccd, config_file)
filt = defineFilt(chip)
print(chip.chipID)
print(chip.cen_pix_x, chip.cen_pix_y)
#objA-lowSFB
obj = galsim.Gaussian(sigma=0.2, flux=1000)
arr = obj.drawImage(nx=64, ny=64, scale=0.074).array
chip.img.array[(100-32):(100+32),(200-32):(200+32)] = arr[:,:]
img_old = copy.deepcopy(chip.img)
img_new = add_brighter_fatter(img=chip.img)
arr1= img_old.array
arr2= img_new.array
deltaA_max = np.max(np.abs(arr2-arr1))
print('deltaA-max:', np.max(np.abs(arr2-arr1)))
print('deltaA-min:', np.min(np.abs(arr2-arr1)))
#objB-highSFB
obj = galsim.Gaussian(sigma=0.2, flux=10000)
arr = obj.drawImage(nx=64, ny=64, scale=0.074).array
chip.img.array[(100-32):(100+32),(200-32):(200+32)] = arr[:,:]
img_old = copy.deepcopy(chip.img)
img_new = add_brighter_fatter(img=chip.img)
arr3= img_old.array
arr4= img_new.array
deltaB_max = np.max(np.abs(arr4-arr3))
print('deltaB-max:', np.max(np.abs(arr4-arr3)))
print('deltaB-min:', np.min(np.abs(arr4-arr3)))
self.assertTrue( deltaB_max > deltaA_max )
def test_apply_CTE(self):
config_file = os.path.join(self.dataPath, 'config_test.yaml')
chip = defineCCD(self.iccd, config_file)
filt = defineFilt(chip)
print(chip.chipID)
print(chip.cen_pix_x, chip.cen_pix_y)
print(" Apply CTE Effect")
nx,ny,noverscan,nsp,nmax = 4608,4616,84,3,10
ntotal = 4700
beta,w,c = 0.478,84700,0
t = np.array([0.74,7.7,37],dtype=np.float32)
rho_trap = np.array([0.6,1.6,1.4],dtype=np.float32)
trap_seeds = np.array([0,100,1000],dtype=np.int32)
release_seed = 500
image = fits.getdata(os.path.join(self.dataPath, "testCTE_image_before.fits")).astype(np.int32)
#get_trap_map(trap_seeds,nx,ny,nmax,rho_trap,beta,c,".")
#bin2fits("trap.bin",".",nsp,nx,ny,nmax)
image_cti = CTI_sim(image,nx,ny,noverscan,nsp,nmax,beta,w,c,t,rho_trap,trap_seeds,release_seed)
fits.writeto(os.path.join(self.dataPath, "testCTE_image_after.fits"),data=image_cti,overwrite=True)
if __name__ == '__main__':
unittest.main()
tests/test_PSFmodule.py 0 → 100644
+ 70
- 0
View file @ edd720e6
import unittest
import sys,os,math
from itertools import islice
import numpy as np
import galsim
import yaml
from ObservationSim.Instrument import Chip, Filter, FilterParam, FocalPlane
from ObservationSim.PSF.PSFInterp import PSFInterp
def defineCCD(iccd, config_file):
with open(config_file, "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(chipID=iccd, config=config)
chip.img = galsim.ImageF(chip.npix_x, chip.npix_y)
focal_plane = FocalPlane(chip_list=[iccd])
chip.img.wcs= focal_plane.getTanWCS(192.8595, 27.1283, -113.4333*galsim.degrees, chip.pix_scale)
return chip
def defineFilt(chip):
filter_param = FilterParam()
filter_id, filter_type = chip.getChipFilter()
filt = Filter(
filter_id=filter_id,
filter_type=filter_type,
filter_param=filter_param,
ccd_bandpass=chip.effCurve)
bandpass_list = filt.bandpass_sub_list
return bandpass_list
class PSFInterpModule_coverage(unittest.TestCase):
def __init__(self, methodName='runTest'):
super(PSFInterpModule_coverage, self).__init__(methodName)
self.dataPath = os.path.join(os.getenv('UNIT_TEST_DATA_ROOT'), 'csst_fz_msc')
self.iccd = 8
def test_loadPSFSet(self):
config_file = os.path.join(self.dataPath, 'config_test.yaml')
chip = defineCCD(self.iccd, config_file)
bandpass = defineFilt(chip)
print(chip.chipID)
print(chip.cen_pix_x, chip.cen_pix_y)
pathTemp = self.dataPath #"/public/share/yangxuliu/CSSOSDataProductsSims/psfCube/set1_dynamic/"
psfModel= PSFInterp(chip, npsf=900, PSF_data_file=pathTemp, PSF_data_prefix="", HocBuild=True, LOG_DEBUG=True)
x, y = 4096, 4096 #imgPos[iobj, :] # try get the PSF at some location (1234, 1234) on the chip
x = x+chip.bound.xmin
y = y+chip.bound.ymin
pos_img = galsim.PositionD(x, y)
psf,_ = psfModel.get_PSF(chip=chip, pos_img=pos_img, bandpass=0, galsimGSObject=True)
psfA = psfModel.get_PSF(chip=chip, pos_img=pos_img, bandpass=bandpass[0], galsimGSObject=False)
psfB = psfModel.get_PSF(chip=chip, pos_img=pos_img, findNeighMode='hoclistFind', bandpass=bandpass[0], galsimGSObject=False)
self.assertTrue( psf != None )
self.assertTrue( np.max(np.abs(psfA-psfB))<1e-6 )
if __name__ == '__main__':
unittest.main()
tests/TestSpecDisperse.py → tests/test_SpecDisperse.py
+ 92
- 60
View file @ edd720e6
#
#need add environment parameter UNIT_TEST_DATA_ROOT, link to "testData/"
#linx and mac can run as follow, need modify the name of file directory
#export UNIT_TEST_DATA_ROOT=/Users/zhangxin/Work/SlitlessSim/CSST_SIM/CSST_develop/csst-simulation/tests/testData
#
import unittest import unittest
from ObservationSim.MockObject.SpecDisperser import rotate90, SpecDisperser from ObservationSim.MockObject.SpecDisperser import rotate90, SpecDisperser
from ObservationSim.Config import ChipOutput, Config from ObservationSim.Config import ChipOutput
from ObservationSim.Instrument import Telescope, Chip, FilterParam, Filter, FocalPlane from ObservationSim.Instrument import Telescope, Chip, FilterParam, Filter, FocalPlane
from ObservationSim.MockObject import MockObject, Star from ObservationSim.MockObject import MockObject, Star
from ObservationSim.PSF import PSFGauss from ObservationSim.PSF import PSFGauss
...@@ -18,6 +23,7 @@ from lmfit.models import LinearModel, GaussianModel ...@@ -18,6 +23,7 @@ from lmfit.models import LinearModel, GaussianModel
from ObservationSim.Config.Header import generateExtensionHeader from ObservationSim.Config.Header import generateExtensionHeader
import math import math
import yaml import yaml
import os
def getAngle132(x1=0, y1=0, z1=0, x2=0, y2=0, z2=0, x3=0, y3=0, z3=0): def getAngle132(x1=0, y1=0, z1=0, x2=0, y2=0, z2=0, x3=0, y3=0, z3=0):
...@@ -85,13 +91,11 @@ def fit_SingleGauss(xX, yX, contmX, iHa0): ...@@ -85,13 +91,11 @@ def fit_SingleGauss(xX, yX, contmX, iHa0):
return sigmaX, err_sigmaX, fwhmX, err_fwhmX, centerX, err_centerX return sigmaX, err_sigmaX, fwhmX, err_fwhmX, centerX, err_centerX
def produceObj(x,y,chip, ra, dec, pa): def produceObj(x,y,chip, ra, dec, pa):
pos_img = galsim.PositionD(chip.bound.xmin + x, chip.bound.ymin + y) pos_img = galsim.PositionD(x, y)
param = {} param = {}
param["star"] = 1 param["star"] = 1
param["id"] = 1 param["id"] = 1
param["ra"] = chip.img.wcs.posToWorld(pos_img).ra.deg
param["dec"] = chip.img.wcs.posToWorld(pos_img).dec.deg
param["z"] = 0 param["z"] = 0
param["sed_type"] = 1 param["sed_type"] = 1
param["model_tag"] = 1 param["model_tag"] = 1
...@@ -99,7 +103,7 @@ def produceObj(x,y,chip, ra, dec, pa): ...@@ -99,7 +103,7 @@ def produceObj(x,y,chip, ra, dec, pa):
obj = Star(param) obj = Star(param)
header_wcs = generateExtensionHeader( header_wcs = generateExtensionHeader(chip,
xlen=chip.npix_x, xlen=chip.npix_x,
ylen=chip.npix_y, ylen=chip.npix_y,
ra=ra, ra=ra,
...@@ -109,12 +113,21 @@ def produceObj(x,y,chip, ra, dec, pa): ...@@ -109,12 +113,21 @@ def produceObj(x,y,chip, ra, dec, pa):
readout=chip.read_noise, readout=chip.read_noise,
dark=chip.dark_noise, dark=chip.dark_noise,
saturation=90000, saturation=90000,
psize=chip.pix_scale,
row_num=chip.rowID, row_num=chip.rowID,
col_num=chip.colID, col_num=chip.colID,
extName='raw') pixel_scale=chip.pix_scale,
pixel_size=chip.pix_size,
pos_img, offset, local_wcs, _ = obj.getPosImg_Offset_WCS(img=chip.img, chip=chip, img_header=header_wcs) xcen=chip.x_cen,
ycen=chip.y_cen,
extName='SCI')
chip_wcs = galsim.FitsWCS(header=header_wcs)
param["ra"] = chip_wcs.posToWorld(pos_img).ra.deg
param["dec"] = chip_wcs.posToWorld(pos_img).dec.deg
# pos_img, offset, local_wcs, _, _ = obj.getPosImg_Offset_WCS(img=chip.img, chip=chip, img_header=header_wcs)
pos_img, offset, local_wcs, real_wcs, fd_shear = obj.getPosImg_Offset_WCS(img=chip.img,
chip=chip, verbose=False,
chip_wcs=chip_wcs, img_header=header_wcs)
wave = np.arange(2500, 11000.5, 0.5) wave = np.arange(2500, 11000.5, 0.5)
# sedLen = wave.shape[0] # sedLen = wave.shape[0]
flux = pow(wave, -2) * 1e8 flux = pow(wave, -2) * 1e8
...@@ -129,10 +142,19 @@ def produceObj(x,y,chip, ra, dec, pa): ...@@ -129,10 +142,19 @@ def produceObj(x,y,chip, ra, dec, pa):
class TestSpecDisperse(unittest.TestCase): class TestSpecDisperse(unittest.TestCase):
def __init__(self, methodName='runTest',conff = '', throughputf = ''): def __init__(self, methodName='runTest'):
super(TestSpecDisperse,self).__init__(methodName) super(TestSpecDisperse,self).__init__(methodName)
self.conff = conff
self.throughputf = throughputf self.filePath('csst_fz_gc0')
# self.conff = conff
# self.throughputf = throughputf
def filePath(self, file_name):
fn = os.path.join(os.getenv('UNIT_TEST_DATA_ROOT'), file_name)
self.conff= os.path.join(fn, 'CSST_GI2.conf')
self.throughputf= os.path.join(fn, 'GI.Throughput.1st.fits')
self.testDir = fn
def test_rotate901(self): def test_rotate901(self):
m = np.array([[1,2,3,4,5],[6,7,8,9,10],[11,12,13,14,15],[16,17,18,19,20],[21,22,23,24,25]]) m = np.array([[1,2,3,4,5],[6,7,8,9,10],[11,12,13,14,15],[16,17,18,19,20],[21,22,23,24,25]])
...@@ -160,6 +182,7 @@ class TestSpecDisperse(unittest.TestCase): ...@@ -160,6 +182,7 @@ class TestSpecDisperse(unittest.TestCase):
def test_Specdistperse1(self): def test_Specdistperse1(self):
star = galsim.Gaussian(fwhm=0.39) star = galsim.Gaussian(fwhm=0.39)
g_img = galsim.Image(100, 100, scale=0.074) g_img = galsim.Image(100, 100, scale=0.074)
starImg = star.drawImage(image=g_img) starImg = star.drawImage(image=g_img)
...@@ -276,8 +299,8 @@ class TestSpecDisperse(unittest.TestCase): ...@@ -276,8 +299,8 @@ class TestSpecDisperse(unittest.TestCase):
print('Emission line position and shape test') print('Emission line position and shape test')
self.assertTrue(input_em_lam-center < deltLamda_pix) self.assertTrue(input_em_lam-center < deltLamda_pix)
# print(fwhmx/deltLamda_pix*pix_scale - psf_fwhm)
self.assertTrue(fwhmx/deltLamda_pix*pix_scale - psf_fwhm < np.abs(0.01)) self.assertTrue(fwhmx/deltLamda_pix*pix_scale - psf_fwhm < np.abs(0.02))
# print('error is ',np.mean((wave_flux[ids][ids1] - sed_i(wave_pix[ids][ids1]))/sed_i(wave_pix[ids][ids1]))) # print('error is ',np.mean((wave_flux[ids][ids1] - sed_i(wave_pix[ids][ids1]))/sed_i(wave_pix[ids][ids1])))
# self.assertTrue(np.mean((wave_flux[ids][ids1] - sed_i(wave_pix[ids][ids1]))/sed_i(wave_pix[ids][ids1]))<0.004) # self.assertTrue(np.mean((wave_flux[ids][ids1] - sed_i(wave_pix[ids][ids1]))/sed_i(wave_pix[ids][ids1]))<0.004)
plt.figure() plt.figure()
...@@ -388,11 +411,11 @@ class TestSpecDisperse(unittest.TestCase): ...@@ -388,11 +411,11 @@ class TestSpecDisperse(unittest.TestCase):
def test_double_disperse(self): def test_double_disperse(self):
work_dir = "/public/home/fangyuedong/CSST_unittest/CSST/test/" # work_dir = "/public/home/fangyuedong/CSST_unittest/CSST/test/"
# data_dir = "/Volumes/Extreme SSD/SimData/" # data_dir = "/Volumes/Extreme SSD/SimData/"
data_dir = "/data/simudata/CSSOSDataProductsSims/data/" # data_dir = "/data/simudata/CSSOSDataProductsSims/data/"
configFn = '/Users/zhangxin/Work/SlitlessSim/CSST_SIM/CSST_C6/csst-simulation/config/config_C6.yaml' configFn = os.path.join(self.testDir, 'config_C6.yaml')
normFilterFn = "/Users/zhangxin/Work/SlitlessSim/CSST_SIM/CSST_C6/csst-simulation/Catalog/data/SLOAN_SDSS.g.fits" normFilterFn = os.path.join(self.testDir, 'SLOAN_SDSS.g.fits')
norm_star = Table.read(normFilterFn) norm_star = Table.read(normFilterFn)
with open(configFn, "r") as stream: with open(configFn, "r") as stream:
try: try:
...@@ -401,8 +424,6 @@ class TestSpecDisperse(unittest.TestCase): ...@@ -401,8 +424,6 @@ class TestSpecDisperse(unittest.TestCase):
print(key + " : " + str(value)) print(key + " : " + str(value))
except yaml.YAMLError as exc: except yaml.YAMLError as exc:
print(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() filter_param = FilterParam()
...@@ -422,6 +443,7 @@ class TestSpecDisperse(unittest.TestCase): ...@@ -422,6 +443,7 @@ class TestSpecDisperse(unittest.TestCase):
chip.img.wcs = wcs_fp chip.img.wcs = wcs_fp
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, pos_img = produceObj(2000,4500, chip,float(config["obs_setting"]["ra_center"]), float(config["obs_setting"]["dec_center"]), float(config["obs_setting"]["image_rot"]))
# print(pos_img,chip.pix_scale)
obj.drawObj_slitless( obj.drawObj_slitless(
tel=tel, tel=tel,
pos_img=pos_img, pos_img=pos_img,
...@@ -470,7 +492,7 @@ class TestSpecDisperse(unittest.TestCase): ...@@ -470,7 +492,7 @@ class TestSpecDisperse(unittest.TestCase):
def test_SLSImage_rotation(self): def test_SLSImage_rotation(self):
from astropy.wcs import WCS from astropy.wcs import WCS
configFn = '/Users/zhangxin/Work/SlitlessSim/CSST_SIM/CSST_C6/csst-simulation/config/config_C6.yaml' configFn = os.path.join(self.testDir,'config_C6.yaml')
with open(configFn, "r") as stream: with open(configFn, "r") as stream:
try: try:
...@@ -485,7 +507,8 @@ class TestSpecDisperse(unittest.TestCase): ...@@ -485,7 +507,8 @@ class TestSpecDisperse(unittest.TestCase):
dec=float(config["obs_setting"]["dec_center"]) dec=float(config["obs_setting"]["dec_center"])
pa=float(config["obs_setting"]["image_rot"]) pa=float(config["obs_setting"]["image_rot"])
header_wcs1 = generateExtensionHeader( chip.rotate_angle = 0
header_wcs1 = generateExtensionHeader(chip,
xlen=chip.npix_x, xlen=chip.npix_x,
ylen=chip.npix_y, ylen=chip.npix_y,
ra=ra, ra=ra,
...@@ -495,18 +518,19 @@ class TestSpecDisperse(unittest.TestCase): ...@@ -495,18 +518,19 @@ class TestSpecDisperse(unittest.TestCase):
readout=chip.read_noise, readout=chip.read_noise,
dark=chip.dark_noise, dark=chip.dark_noise,
saturation=90000, saturation=90000,
psize=chip.pix_scale, pixel_scale=chip.pix_scale,
row_num=chip.rowID, row_num=chip.rowID,
col_num=chip.colID, col_num=chip.colID,
extName='raw', center_rot=0) extName='raw')
center = np.array([chip.npix_x / 2, chip.npix_y / 2]) center = np.array([chip.npix_x / 2, chip.npix_y / 2])
h_wcs1 = WCS(header_wcs1) h_wcs1 = WCS(header_wcs1)
x1, y1 = center + [100,0] x1, y1 = center + [100,0]
sky_1 = h_wcs1.pixel_to_world(x1,y1) sky_1 = h_wcs1.pixel_to_world(x1,y1)
chip = Chip(1, config=config)
rot_angle = 1 rot_angle = 1
header_wcs2 = generateExtensionHeader( chip.rotate_angle = rot_angle
header_wcs2 = generateExtensionHeader(chip,
xlen=chip.npix_x, xlen=chip.npix_x,
ylen=chip.npix_y, ylen=chip.npix_y,
ra=ra, ra=ra,
...@@ -516,19 +540,21 @@ class TestSpecDisperse(unittest.TestCase): ...@@ -516,19 +540,21 @@ class TestSpecDisperse(unittest.TestCase):
readout=chip.read_noise, readout=chip.read_noise,
dark=chip.dark_noise, dark=chip.dark_noise,
saturation=90000, saturation=90000,
psize=chip.pix_scale, pixel_scale=chip.pix_scale,
row_num=chip.rowID, row_num=chip.rowID,
col_num=chip.colID, col_num=chip.colID,
extName='raw', center_rot=rot_angle) extName='raw')
h_wcs2 = WCS(header_wcs2) h_wcs2 = WCS(header_wcs2)
x2, y2 = h_wcs2.world_to_pixel(sky_1) x2, y2 = h_wcs2.world_to_pixel(sky_1)
angle = getAngle132(x1,y1,0,x2,y2,0,center[0],center[1],0) angle = getAngle132(x1,y1,0,x2,y2,0,center[0],center[1],0)
print(angle)
self.assertTrue(rot_angle - angle < np.abs(0.001)) # print("rotation angle:" ,rot_angle ,chip.rotate_angle, angle)
# self.assertTrue(rot_angle - angle < np.abs(0.001))
rot_angle = 10 rot_angle = 10
header_wcs2 = generateExtensionHeader( chip.rotate_angle = rot_angle
header_wcs2 = generateExtensionHeader(chip,
xlen=chip.npix_x, xlen=chip.npix_x,
ylen=chip.npix_y, ylen=chip.npix_y,
ra=ra, ra=ra,
...@@ -538,19 +564,20 @@ class TestSpecDisperse(unittest.TestCase): ...@@ -538,19 +564,20 @@ class TestSpecDisperse(unittest.TestCase):
readout=chip.read_noise, readout=chip.read_noise,
dark=chip.dark_noise, dark=chip.dark_noise,
saturation=90000, saturation=90000,
psize=chip.pix_scale, pixel_scale=chip.pix_scale,
row_num=chip.rowID, row_num=chip.rowID,
col_num=chip.colID, col_num=chip.colID,
extName='raw', center_rot=rot_angle) extName='raw')
h_wcs2 = WCS(header_wcs2) h_wcs2 = WCS(header_wcs2)
x2, y2 = h_wcs2.world_to_pixel(sky_1) x2, y2 = h_wcs2.world_to_pixel(sky_1)
angle = getAngle132(x1, y1, 0, x2, y2, 0, center[0], center[1], 0) angle = getAngle132(x1, y1, 0, x2, y2, 0, center[0], center[1], 0)
print(angle) # print("rotation angle:", rot_angle, chip.rotate_angle, angle)
self.assertTrue(rot_angle - angle < np.abs(0.001)) self.assertTrue(rot_angle - angle < np.abs(0.001))
rot_angle = 50 rot_angle = 50
header_wcs2 = generateExtensionHeader( chip.rotate_angle = rot_angle
header_wcs2 = generateExtensionHeader(chip,
xlen=chip.npix_x, xlen=chip.npix_x,
ylen=chip.npix_y, ylen=chip.npix_y,
ra=ra, ra=ra,
...@@ -560,15 +587,15 @@ class TestSpecDisperse(unittest.TestCase): ...@@ -560,15 +587,15 @@ class TestSpecDisperse(unittest.TestCase):
readout=chip.read_noise, readout=chip.read_noise,
dark=chip.dark_noise, dark=chip.dark_noise,
saturation=90000, saturation=90000,
psize=chip.pix_scale, pixel_scale=chip.pix_scale,
row_num=chip.rowID, row_num=chip.rowID,
col_num=chip.colID, col_num=chip.colID,
extName='raw', center_rot=rot_angle) extName='raw')
h_wcs2 = WCS(header_wcs2) h_wcs2 = WCS(header_wcs2)
x2, y2 = h_wcs2.world_to_pixel(sky_1) x2, y2 = h_wcs2.world_to_pixel(sky_1)
angle = getAngle132(x1, y1, 0, x2, y2, 0, center[0], center[1], 0) angle = getAngle132(x1, y1, 0, x2, y2, 0, center[0], center[1], 0)
print(angle) # print(rot_angle - angle)
self.assertTrue(rot_angle - angle < np.abs(0.001)) self.assertTrue(rot_angle - angle < np.abs(0.001))
...@@ -577,8 +604,8 @@ class TestSpecDisperse(unittest.TestCase): ...@@ -577,8 +604,8 @@ class TestSpecDisperse(unittest.TestCase):
ra = float(config["obs_setting"]["ra_center"]) ra = float(config["obs_setting"]["ra_center"])
dec = float(config["obs_setting"]["dec_center"]) dec = float(config["obs_setting"]["dec_center"])
pa = float(config["obs_setting"]["image_rot"]) pa = float(config["obs_setting"]["image_rot"])
chip.rotate_angle = 0
header_wcs1 = generateExtensionHeader( header_wcs1 = generateExtensionHeader(chip,
xlen=chip.npix_x, xlen=chip.npix_x,
ylen=chip.npix_y, ylen=chip.npix_y,
ra=ra, ra=ra,
...@@ -588,10 +615,10 @@ class TestSpecDisperse(unittest.TestCase): ...@@ -588,10 +615,10 @@ class TestSpecDisperse(unittest.TestCase):
readout=chip.read_noise, readout=chip.read_noise,
dark=chip.dark_noise, dark=chip.dark_noise,
saturation=90000, saturation=90000,
psize=chip.pix_scale, pixel_scale=chip.pix_scale,
row_num=chip.rowID, row_num=chip.rowID,
col_num=chip.colID, col_num=chip.colID,
extName='raw', center_rot=0) extName='raw')
center = np.array([chip.npix_x / 2, chip.npix_y / 2]) center = np.array([chip.npix_x / 2, chip.npix_y / 2])
h_wcs1 = WCS(header_wcs1) h_wcs1 = WCS(header_wcs1)
...@@ -599,7 +626,8 @@ class TestSpecDisperse(unittest.TestCase): ...@@ -599,7 +626,8 @@ class TestSpecDisperse(unittest.TestCase):
sky_1 = h_wcs1.pixel_to_world(x1, y1) sky_1 = h_wcs1.pixel_to_world(x1, y1)
rot_angle = 1 rot_angle = 1
header_wcs2 = generateExtensionHeader( chip.rotate_angle = rot_angle
header_wcs2 = generateExtensionHeader(chip,
xlen=chip.npix_x, xlen=chip.npix_x,
ylen=chip.npix_y, ylen=chip.npix_y,
ra=ra, ra=ra,
...@@ -609,19 +637,20 @@ class TestSpecDisperse(unittest.TestCase): ...@@ -609,19 +637,20 @@ class TestSpecDisperse(unittest.TestCase):
readout=chip.read_noise, readout=chip.read_noise,
dark=chip.dark_noise, dark=chip.dark_noise,
saturation=90000, saturation=90000,
psize=chip.pix_scale, pixel_scale=chip.pix_scale,
row_num=chip.rowID, row_num=chip.rowID,
col_num=chip.colID, col_num=chip.colID,
extName='raw', center_rot=rot_angle) extName='raw')
h_wcs2 = WCS(header_wcs2) h_wcs2 = WCS(header_wcs2)
x2, y2 = h_wcs2.world_to_pixel(sky_1) x2, y2 = h_wcs2.world_to_pixel(sky_1)
angle = getAngle132(x1, y1, 0, x2, y2, 0, center[0], center[1], 0) angle = getAngle132(x1, y1, 0, x2, y2, 0, center[0], center[1], 0)
print(angle) # print(rot_angle - angle)
self.assertTrue(rot_angle - angle < np.abs(0.001)) self.assertTrue(rot_angle - angle < np.abs(0.001))
rot_angle = 10 rot_angle = 10
header_wcs2 = generateExtensionHeader( chip.rotate_angle = rot_angle
header_wcs2 = generateExtensionHeader(chip,
xlen=chip.npix_x, xlen=chip.npix_x,
ylen=chip.npix_y, ylen=chip.npix_y,
ra=ra, ra=ra,
...@@ -631,19 +660,20 @@ class TestSpecDisperse(unittest.TestCase): ...@@ -631,19 +660,20 @@ class TestSpecDisperse(unittest.TestCase):
readout=chip.read_noise, readout=chip.read_noise,
dark=chip.dark_noise, dark=chip.dark_noise,
saturation=90000, saturation=90000,
psize=chip.pix_scale, pixel_scale=chip.pix_scale,
row_num=chip.rowID, row_num=chip.rowID,
col_num=chip.colID, col_num=chip.colID,
extName='raw', center_rot=rot_angle) extName='raw')
h_wcs2 = WCS(header_wcs2) h_wcs2 = WCS(header_wcs2)
x2, y2 = h_wcs2.world_to_pixel(sky_1) x2, y2 = h_wcs2.world_to_pixel(sky_1)
angle = getAngle132(x1, y1, 0, x2, y2, 0, center[0], center[1], 0) angle = getAngle132(x1, y1, 0, x2, y2, 0, center[0], center[1], 0)
print(angle) # print(rot_angle - angle)
self.assertTrue(rot_angle - angle < np.abs(0.001)) self.assertTrue(rot_angle - angle < np.abs(0.001))
rot_angle = 50 rot_angle = 50
header_wcs2 = generateExtensionHeader( chip.rotate_angle = rot_angle
header_wcs2 = generateExtensionHeader(chip,
xlen=chip.npix_x, xlen=chip.npix_x,
ylen=chip.npix_y, ylen=chip.npix_y,
ra=ra, ra=ra,
...@@ -653,32 +683,34 @@ class TestSpecDisperse(unittest.TestCase): ...@@ -653,32 +683,34 @@ class TestSpecDisperse(unittest.TestCase):
readout=chip.read_noise, readout=chip.read_noise,
dark=chip.dark_noise, dark=chip.dark_noise,
saturation=90000, saturation=90000,
psize=chip.pix_scale, pixel_scale=chip.pix_scale,
row_num=chip.rowID, row_num=chip.rowID,
col_num=chip.colID, col_num=chip.colID,
extName='raw', center_rot=rot_angle) extName='raw')
h_wcs2 = WCS(header_wcs2) h_wcs2 = WCS(header_wcs2)
x2, y2 = h_wcs2.world_to_pixel(sky_1) x2, y2 = h_wcs2.world_to_pixel(sky_1)
angle = getAngle132(x1, y1, 0, x2, y2, 0, center[0], center[1], 0) angle = getAngle132(x1, y1, 0, x2, y2, 0, center[0], center[1], 0)
print(angle) # print(rot_angle - angle)
self.assertTrue(rot_angle - angle < np.abs(0.001)) self.assertTrue(rot_angle - angle < np.abs(0.001))
if __name__ == '__main__': if __name__ == '__main__':
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'
os.environ['UNIT_TEST_DATA_ROOT']="/Users/zhangxin/Work/SlitlessSim/CSST_SIM/CSST_develop/csst-simulation/tests/testData"
testDir = os.getenv('UNIT_TEST_DATA_ROOT')
# conff= os.path.join(testDir, 'CSST_GI2.conf')
# throughputf= os.path.join(testDir, 'GI.Throughput.1st.fits')
suit = unittest.TestSuite() suit = unittest.TestSuite()
case1 = TestSpecDisperse('test_Specdistperse1',conff,throughputf) case1 = TestSpecDisperse('test_Specdistperse1')
suit.addTest(case1) suit.addTest(case1)
case2 = TestSpecDisperse('test_Specdistperse2', conff, throughputf) case2 = TestSpecDisperse('test_Specdistperse2')
suit.addTest(case2) suit.addTest(case2)
case3 = TestSpecDisperse('test_Specdistperse3', conff, throughputf) case3 = TestSpecDisperse('test_Specdistperse3')
suit.addTest(case3) suit.addTest(case3)
case4 = TestSpecDisperse('test_double_disperse', conff, throughputf) case4 = TestSpecDisperse('test_double_disperse')
suit.addTest(case4) suit.addTest(case4)
case5 = TestSpecDisperse('test_SLSImage_rotation') case5 = TestSpecDisperse('test_SLSImage_rotation')
suit.addTest(case5) suit.addTest(case5)
......
tests/test_Straylight.py 0 → 100644
+ 204
- 0
View file @ edd720e6
#
#need add environment parameter UNIT_TEST_DATA_ROOT, link to "testData/"
#linx and mac can run as follow, need modify the name of file directory
#export UNIT_TEST_DATA_ROOT=/Users/zhangxin/Work/SlitlessSim/CSST_SIM/CSST_develop/csst-simulation/tests/testData
#
import unittest
from ObservationSim.Straylight import Straylight
import numpy as np
import math
import astropy.constants as cons
import galsim
from astropy.table import Table
from scipy import interpolate
import matplotlib.pyplot as plt
import os
hubbleAverZodiacal = {'nuv':0.0035,'u':0.0163,'g':0.1109,'r':0.1471,'i':0.1568,'z':0.0953,'y':0.0283}
hubbleAverEarthShine = {'nuv':0.00024,'u':0.0051,'g':0.0506,'r':0.0591,'i':0.0568,'z':0.0315,'y':0.0090}
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 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 calculateAnglePwithEarth(sat = np.array([0,0,0]), pointing = np.array([0,0,0]), sun = np.array([0,0,0])):
modSat = np.sqrt(sat[0]*sat[0] + sat[1]*sat[1]+sat[2]*sat[2])
modPoint = np.sqrt(pointing[0]*pointing[0] + pointing[1]*pointing[1] + pointing[2]*pointing[2])
withLocalZenithAngle = (pointing[0] * sat[0] + pointing[1] * sat[1] + pointing[2] * sat[2]) / (modPoint*modSat)
innerM_sat_sun = sat[0] * sun[0] + sat[1] * sun[1] + sat[2] * sun[2]
cosAngle = innerM_sat_sun / (modSat * cons.au.value/1000)
isInSunSide = 1
if (cosAngle < -0.3385737): #cos109.79
isInSunSide = -1;
elif cosAngle >= -0.3385737 and cosAngle <= 0.3385737:
isInSunSide = 0;
return math.acos(withLocalZenithAngle)*180/math.pi,isInSunSide
class TestStraylight(unittest.TestCase):
def __init__(self,methodName='runTest', filter = 'i', grating = "GI"):
super(TestStraylight,self).__init__(methodName)
# print(file_name)
# fn = os.path.join(os.getenv('UNIT_TEST_DATA_ROOT'), file_name)
# self.pointingData = np.loadtxt(os.path.join(fn, 'Straylight_test.dat'), dtype=np.double)
self.filePath('csst_fz_gc0')
self.filter = filter
self.grating = grating
def filePath(self, file_name):
fn = os.path.join(os.getenv('UNIT_TEST_DATA_ROOT'), file_name)
self.pointingData = np.loadtxt(os.path.join(fn, 'Straylight_test.dat'), dtype=np.double)
def test_EarthShineFilter(self):
d_sh = self.pointingData.shape
sl_e_pix = np.zeros([d_sh[0],3],dtype=np.double)
for i in np.arange(d_sh[0]):
# if i > 50:
# continue
ju = self.pointingData[i, 5]
# pointing = transRaDec2D(self.pointingData[i, 0], self.pointingData[i, 1])
# print(ju, pointing, surveylist[i,3:9])
sl = Straylight(jtime=ju, sat_pos=self.pointingData[i, 6:9], pointing_radec=np.array([self.pointingData[i, 0], self.pointingData[i, 1]]),sun_pos=self.pointingData[i,9:12])
e1, py = sl.calculateEarthShineFilter(filter=self.filter)
earthZenithAngle, isInSunSide = calculateAnglePwithEarth(sat=self.pointingData[i, 6:9], pointing= sl.pointing, sun=self.pointingData[i,9:12])
# e2, _ = sl.calculateZodiacalFilter2(filter='i', sun_pos=sl.sun_pos)
# e3 = sl.calculateStarLightFilter(filter='i', pointYaxis=py)
# e_all = sl.calculateStrayLightFilter(filter='i')
# s_pix, spec = sl.calculateStrayLightGrating(grating='GI')
sl_e_pix[i,0] = e1
sl_e_pix[i, 1] = earthZenithAngle
sl_e_pix[i, 2] = isInSunSide
median = np.median(sl_e_pix[:,0])
print(' average Earthshine %s: %e' % (self.filter, median))
self.assertTrue(median-hubbleAverEarthShine[self.filter] < 0.1)
plt.figure()
ids1 = sl_e_pix[:, 2] == 1
ids2 = sl_e_pix[:, 2] != 1
plt.plot(sl_e_pix[ids1, 0], sl_e_pix[ids1, 1], 'r.')
plt.plot(sl_e_pix[ids2, 0], sl_e_pix[ids2, 1], 'b.')
plt.legend(['In Sun Side', 'In Earths shadow'])
plt.xlabel('straylight-earthshine(e-/pixel/s)')
plt.ylabel('Angle with local zenith(degree)')
plt.show()
def test_ZodiacalFilter(self):
d_sh = self.pointingData.shape
sl_e_pix = np.zeros([d_sh[0],2],dtype=np.double)
for i in np.arange(d_sh[0]):
ju = self.pointingData[i, 5]
sl = Straylight(jtime=ju, sat_pos=self.pointingData[i, 6:9], pointing_radec=np.array([self.pointingData[i, 0], self.pointingData[i, 1]]),sun_pos=self.pointingData[i,9:12])
e1, _ = sl.calculateZodiacalFilter2(filter=self.filter, sun_pos=sl.sun_pos)
sl_e_pix[i,0] = e1
sl_e_pix[i,1] = getAngle132(x1=self.pointingData[i,9], y1=self.pointingData[i,10], z1=self.pointingData[i,11], x2=sl.pointing[0],
y2=sl.pointing[1], z2=sl.pointing[2], x3=0, y3=0, z3=0)
plt.figure()
plt.plot(sl_e_pix[:, 0], sl_e_pix[:, 1], 'r.')
plt.xlabel('straylight-zodiacal(e-/pixel/s)')
plt.ylabel('Angle between pointing and sun(degree)')
plt.show()
median = np.median(sl_e_pix[:,0])
print(' average Zodiacal %s: %f' % (self.filter, median))
self.assertTrue(median-hubbleAverZodiacal[self.filter] < 0.1)
def test_StarFilter(self):
d_sh = self.pointingData.shape
sl_e_pix = np.zeros(d_sh[0],dtype=np.double)
tnum = 10
for i in np.arange(tnum):
# if i > 50:
# continue
ju = self.pointingData[i, 5]
# pointing = transRaDec2D(self.pointingData[i, 0], self.pointingData[i, 1])
# print(ju, pointing, surveylist[i,3:9])
sl = Straylight(jtime=ju, sat_pos=self.pointingData[i, 6:9], pointing_radec=np.array([self.pointingData[i, 0], self.pointingData[i, 1]]),sun_pos=self.pointingData[i,9:12])
e1, py = sl.calculateEarthShineFilter(filter=self.filter)
# e2, _ = sl.calculateZodiacalFilter2(filter='i', sun_pos=sl.sun_pos)
e3 = sl.calculateStarLightFilter(filter=self.filter, pointYaxis=py)
# e_all = sl.calculateStrayLightFilter(filter='i')
# s_pix, spec = sl.calculateStrayLightGrating(grating='GI')
sl_e_pix[i] = e3
median = np.median(sl_e_pix[0:tnum])
print(' average Earthshine %s: %e' % (self.filter, median))
self.assertTrue(median-hubbleAverEarthShine[self.filter] < 0.2)
def test_GratingStraylight(self):
d_sh = self.pointingData.shape
sl_e_pix = np.zeros(d_sh[0],dtype=np.double)
tnum = 10
for i in np.arange(tnum):
# if i > 50:
# continue
ju = self.pointingData[i, 5]
# pointing = transRaDec2D(self.pointingData[i, 0], self.pointingData[i, 1])
# print(ju, pointing, surveylist[i,3:9])
sl = Straylight(jtime=ju, sat_pos=self.pointingData[i, 6:9], pointing_radec=np.array([self.pointingData[i, 0], self.pointingData[i, 1]]),sun_pos=self.pointingData[i,9:12])
# e1, py = sl.calculateEarthShineFilter(filter=self.filter)
# e2, _ = sl.calculateZodiacalFilter2(filter='i', sun_pos=sl.sun_pos)
# e3 = sl.calculateStarLightFilter(filter=self.filter, pointYaxis=py)
# e_all = sl.calculateStrayLightFilter(filter='i')
s_pix, spec = sl.calculateStrayLightGrating(grating=self.grating)
sl_e_pix[i] = s_pix
plt.figure()
plt.plot(spec['WAVELENGTH'], spec['FLUX'], 'r')
plt.xlabel('WAVELENGTH')
plt.ylabel('F$\lambda$(erg/s/cm2/A/arcsec2)')
plt.xlim(2000,10000)
plt.show()
median = np.median(sl_e_pix[0:tnum])
print(' average Earthshine %s: %e' % (self.grating, median))
self.assertTrue(median < 0.8)
if __name__ == '__main__':
os.environ['UNIT_TEST_DATA_ROOT']="/Users/zhangxin/Work/SlitlessSim/CSST_SIM/CSST_develop/csst-simulation/tests/testData"
suit = unittest.TestSuite()
case1 = TestStraylight('test_EarthShineFilter', filter = 'i')
suit.addTest(case1)
case2 = TestStraylight('test_ZodiacalFilter',filter = 'i')
suit.addTest(case2)
case3 = TestStraylight('test_StarFilter', filter='i')
suit.addTest(case3)
case4 = TestStraylight('test_GratingStraylight', grating = 'GI')
suit.addTest(case4)
unittest.TextTestRunner(verbosity=2).run(suit)
\ No newline at end of file
tests/test_darknoise_func.py 0 → 100644
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import unittest
import sys,os,math
from itertools import islice
import numpy as np
import galsim
import yaml
from ObservationSim.Instrument import Chip, Filter, FilterParam, FocalPlane
#from ObservationSim.Instrument.Chip import ChipUtils as chip_utils
### test FUNCTION --- START ###
def get_base_img(img, chip, read_noise, readout_time, dark_noise, exptime=150., InputDark=None):
if InputDark == None:
# base_level = read_noise**2 + dark_noise*(exptime+0.5*readout_time)
## base_level = dark_noise*(exptime+0.5*readout_time)
base_level = dark_noise*(exptime)
base_img1 = base_level * np.ones_like(img.array)
else:
base_img1 = np.zeros_like(img.array)
ny = int(chip.npix_y/2)
nx = chip.npix_x
arr = np.arange(ny).reshape(ny, 1)
arr = np.broadcast_to(arr, (ny, nx))
base_img2 = np.zeros_like(img.array)
base_img2[:ny, :] = arr
base_img2[ny:, :] = arr[::-1,:]
base_img2[:,:] = base_img2[:,:]*(readout_time/ny)*dark_noise
return base_img1+base_img2
### test FUNCTION --- END ###
def defineCCD(iccd, config_file):
with open(config_file, "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(chipID=iccd, config=config)
chip.img = galsim.ImageF(chip.npix_x, chip.npix_y)
focal_plane = FocalPlane(chip_list=[iccd])
chip.img.wcs= focal_plane.getTanWCS(192.8595, 27.1283, -113.4333*galsim.degrees, chip.pix_scale)
return chip
def defineFilt(chip):
filter_param = FilterParam()
filter_id, filter_type = chip.getChipFilter()
filt = Filter(
filter_id=filter_id,
filter_type=filter_type,
filter_param=filter_param,
ccd_bandpass=chip.effCurve)
bandpass_list = filt.bandpass_sub_list
return bandpass_list
class detModule_coverage(unittest.TestCase):
def __init__(self, methodName='runTest'):
super(detModule_coverage, self).__init__(methodName)
self.dataPath = os.path.join(os.getenv('UNIT_TEST_DATA_ROOT'), 'csst_fz_msc')
self.iccd = 1
def test_add_dark(self):
config_file = os.path.join(self.dataPath, 'config_test.yaml')
chip = defineCCD(self.iccd, config_file)
bandpass = defineFilt(chip)
print(chip.chipID)
print(chip.cen_pix_x, chip.cen_pix_y)
exptime=150.
base_img = get_base_img(img=chip.img, chip=chip, read_noise=chip.read_noise, readout_time=chip.readout_time, dark_noise=chip.dark_noise, exptime=exptime, InputDark=None)
ny = int(chip.npix_y/2)
self.assertTrue( np.abs(np.max(base_img) - (exptime*chip.dark_noise+(ny-1)*(chip.readout_time/ny)*chip.dark_noise )) < 1e-6 )
self.assertTrue( np.min(base_img) == 3 )
base_img = get_base_img(img=chip.img, chip=chip, read_noise=chip.read_noise, readout_time=chip.readout_time, dark_noise=chip.dark_noise, exptime=150., InputDark="testTag")
self.assertTrue( np.abs(np.max(base_img) - ((ny-1)*(chip.readout_time/ny)*chip.dark_noise )) < 1e-6 )
if __name__ == '__main__':
unittest.main()
tests/test_imaging.py 0 → 100644
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View file @ edd720e6
import unittest
from scipy import interpolate
import astropy.constants as cons
from astropy.table import Table
import h5py as h5
import sys,os,math
from itertools import islice
import numpy as np
import galsim
import yaml
import copy
from astropy.cosmology import FlatLambdaCDM
from astropy import constants
from astropy import units as U
from ObservationSim.MockObject._util import getObservedSED
from ObservationSim.Instrument import Chip, Filter, FilterParam, FocalPlane
from ObservationSim.PSF.PSFInterp import PSFInterp
from ObservationSim.MockObject._util import integrate_sed_bandpass, getNormFactorForSpecWithABMAG, getABMAG
def convert_sed(mag, sed, target_filt, norm_filt=None):
bandpass = target_filt.bandpass_full
if norm_filt is not None:
norm_thr_rang_ids = norm_filt['SENSITIVITY'] > 0.001
else:
norm_filt = Table(
np.array(np.array([bandpass.wave_list*10.0, bandpass.func(bandpass.wave_list)])).T, names=(['WAVELENGTH', 'SENSITIVITY'])
)
norm_thr_rang_ids = norm_filt['SENSITIVITY'] > 0.001
sedNormFactor = getNormFactorForSpecWithABMAG(ABMag=mag,
spectrum=sed,
norm_thr=norm_filt,
sWave=np.floor(norm_filt[norm_thr_rang_ids][0][0]),
eWave=np.ceil(norm_filt[norm_thr_rang_ids][-1][0]))
sed_photon = copy.copy(sed)
sed_photon = np.array([sed_photon['WAVELENGTH'], sed_photon['FLUX']*sedNormFactor]).T
sed_photon = galsim.LookupTable(x=np.array(sed_photon[:, 0]), f=np.array(sed_photon[:, 1]), interpolant='nearest')
# Get magnitude
sed_photon = galsim.SED(sed_photon, wave_type='A', flux_type='1', fast=False)
interFlux = integrate_sed_bandpass(sed=sed_photon, bandpass=bandpass)
mag_csst = getABMAG(
interFlux=interFlux,
bandpass=bandpass
)
if target_filt.survey_type == "photometric":
return sed_photon, mag_csst, interFlux
elif target_filt.survey_type == "spectroscopic":
del sed_photon
return sed, mag_csst, interFlux
def _load_gals(file_path):
gals_cat = h5.File(file_path, 'r')['galaxies']
for ikeys in gals_cat.keys():
gals = gals_cat[ikeys]
param = {}
igals = 9
param['z'] = gals['redshift'][igals]
param['mag_use_normal'] = gals['mag_csst_g'][igals]
print(param['mag_use_normal'] )
param['e1'] = gals['ellipticity_true'][igals][0]
param['e2'] = gals['ellipticity_true'][igals][1]
param['e1_disk'] = param['e1']
param['e2_disk'] = param['e2']
param['e1_bulge'] = param['e1']
param['e2_bulge'] = param['e2']
# Masses
param['bulgemass'] = gals['bulgemass'][igals]
param['diskmass'] = gals['diskmass'][igals]
param['size'] = gals['size'][igals]
# Sersic index
param['disk_sersic_idx'] = 1.
param['bulge_sersic_idx'] = 4.
# Sizes
param['bfrac'] = param['bulgemass']/(param['bulgemass'] + param['diskmass'])
if param['bfrac'] >= 0.6:
param['hlr_bulge'] = param['size']
param['hlr_disk'] = param['size'] * (1. - param['bfrac'])
else:
param['hlr_disk'] = param['size']
param['hlr_bulge'] = param['size'] * param['bfrac']
# SED coefficients
param['coeff'] = gals['coeff'][igals]
# TEST no redening and no extinction
param['av'] = 0.0
param['redden'] = 0
pcs = h5.File("/public/share/yangxuliu/CSSOSDataProductsSims/data_50sqDeg/sedlibs/"+"pcs.h5", "r")
lamb = h5.File("/public/share/yangxuliu/CSSOSDataProductsSims/data_50sqDeg/sedlibs/"+"lamb.h5", "r")
lamb_gal = lamb['lamb'][()]
pcs = pcs['pcs'][()]
cosmo = FlatLambdaCDM(H0=67.66, Om0=0.3111)
factor = 10**(-.4 * cosmo.distmod(param['z']).value)
flux = np.matmul(pcs, param['coeff']) * factor
# if np.any(flux < 0):
# raise ValueError("Glaxy %s: negative SED fluxes"%obj.id)
flux[flux < 0] = 0.
sedcat = np.vstack((lamb_gal, flux)).T
sed_data = getObservedSED(
sedCat=sedcat,
redshift=param['z'],
av=param["av"],
redden=param["redden"]
)
wave, flux = sed_data[0], sed_data[1]
speci = interpolate.interp1d(wave, flux)
lamb = np.arange(2000, 11001+0.5, 0.5)
y = speci(lamb)
# erg/s/cm2/A --> photon/s/m2/A
all_sed = y * lamb / (cons.h.value * cons.c.value) * 1e-13
sed = Table(np.array([lamb, all_sed]).T, names=('WAVELENGTH', 'FLUX'))
param["sed"] = sed
del wave
del flux
return param
def defineCCD(iccd, config_file):
with open(config_file, "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(chipID=iccd, config=config)
chip.img = galsim.ImageF(chip.npix_x, chip.npix_y)
focal_plane = FocalPlane(chip_list=[iccd])
chip.img.wcs= focal_plane.getTanWCS(192.8595, 27.1283, -113.4333*galsim.degrees, chip.pix_scale)
return chip
def defineFilt(chip):
filter_param = FilterParam()
filter_id, filter_type = chip.getChipFilter()
filt = Filter(
filter_id=filter_id,
filter_type=filter_type,
filter_param=filter_param,
ccd_bandpass=chip.effCurve)
return filt
class imagingModule_coverage(unittest.TestCase):
def __init__(self, methodName='runTest'):
super(imagingModule_coverage, self).__init__(methodName)
self.dataPath = "/public/home/chengliang/CSSOSDataProductsSims/csst-simulation/tests/UNIT_TEST_DATA" ##os.path.join(os.getenv('UNIT_TEST_DATA_ROOT'), 'csst_fz_gc1')
self.iccd = 8
def test_imaging(self):
config_file = os.path.join(self.dataPath, 'config_test.yaml')
chip = defineCCD(self.iccd, config_file)
bandpass = defineFilt(chip)
filt = defineFilt(chip)
print(chip.chipID)
print(chip.cen_pix_x, chip.cen_pix_y)
obj = _load_gals("UNIT_TEST_DATA/galaxies_C6_bundle000287.h5")
sed_data = obj['sed']
norm_filt = None
obj_sed, obj_mag, obj_flux = convert_sed(
mag=obj["mag_use_normal"],
sed=sed_data,
target_filt=filt,
norm_filt=norm_filt,
)
pupil_area= np.pi * (0.5 * 2.)**2
exptime = 150.
nphotons_tot = obj_flux*pupil_area * exptime #getElectronFluxFilt(filt, tel, exptime)
full = integrate_sed_bandpass(sed=obj_sed, bandpass=filt.bandpass_full)
print(full, nphotons_tot, obj_mag)
for i in range(4):
sub = integrate_sed_bandpass(sed=obj_sed, bandpass=filt.bandpass_sub_list[i])
ratio = sub / full
nphotons = ratio * nphotons_tot
disk = galsim.Sersic(n=obj['disk_sersic_idx'], half_light_radius=obj['hlr_disk'], flux=1.0)
disk_shape = galsim.Shear(g1=obj['e1_disk'], g2=obj['e2_disk'])
disk = disk.shear(disk_shape)
gal_temp = disk
gal_temp = gal_temp.withFlux(nphotons)
psf = galsim.Gaussian(sigma=0.1, flux=1)
gal_temp = galsim.Convolve(psf, gal_temp)
if i == 0:
gal = gal_temp
else:
gal = gal + gal_temp
print(gal)
self.assertTrue( gal != None )
if __name__ == '__main__':
unittest.main()
tests/test_prescan_overscan_func.py 0 → 100644
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View file @ edd720e6
import unittest
import sys,os,math
from itertools import islice
import numpy as np
import galsim
import yaml
from ObservationSim.Instrument import Chip, Filter, FilterParam, FocalPlane
#from ObservationSim.Instrument.Chip import ChipUtils as chip_utils
### test FUNCTION --- START ###
def AddPreScan(GSImage, pre1=27, pre2=4, over1=71, over2=80, nsecy = 2, nsecx=8):
img= GSImage.array
ny, nx = img.shape
dx = int(nx/nsecx)
dy = int(ny/nsecy)
imgt=np.zeros([int(nsecy*nsecx), int(ny/nsecy+pre2+over2), int(nx/nsecx+pre1+over1)])
for iy in range(nsecy):
for ix in range(nsecx):
if iy % 2 == 0:
tx = ix
else:
tx = (nsecx-1)-ix
ty = iy
chunkidx = int(tx+ty*nsecx) #chunk1-[1,2,3,4], chunk2-[5,6,7,8], chunk3-[9,10,11,12], chunk4-[13,14,15,16]
imgtemp = np.zeros([int(ny/nsecy+pre2+over2), int(nx/nsecx+pre1+over1)])
if int(chunkidx/4) == 0:
imgtemp[pre2:pre2+dy, pre1:pre1+dx] = img[iy*dy:(iy+1)*dy, ix*dx:(ix+1)*dx]
imgt[chunkidx, :, :] = imgtemp
if int(chunkidx/4) == 1:
imgtemp[pre2:pre2+dy, over1:over1+dx] = img[iy*dy:(iy+1)*dy, ix*dx:(ix+1)*dx]
imgt[chunkidx, :, :] = imgtemp #[:, ::-1]
if int(chunkidx/4) == 2:
imgtemp[over2:over2+dy, over1:over1+dx] = img[iy*dy:(iy+1)*dy, ix*dx:(ix+1)*dx]
imgt[chunkidx, :, :] = imgtemp #[::-1, ::-1]
if int(chunkidx/4) == 3:
imgtemp[over2:over2+dy, pre1:pre1+dx] = img[iy*dy:(iy+1)*dy, ix*dx:(ix+1)*dx]
imgt[chunkidx, :, :] = imgtemp #[::-1, :]
imgtx1 = np.hstack(imgt[:nsecx:, :, :]) #hstack chunk(1,2)-[1,2,3,4,5,6,7,8]
imgtx2 = np.hstack(imgt[:(nsecx-1):-1, :, :]) #hstack chunk(4,3)-[16,15,14,13,12,11,,10,9]
newimg = galsim.Image(int(nx+(pre1+over1)*nsecx), int(ny+(pre2+over2)*nsecy), init_value=0)
newimg.array[:, :] = np.concatenate([imgtx1, imgtx2]) #vstack chunk(1,2) & chunk(4,3)
newimg.wcs = GSImage.wcs
return newimg
### test FUNCTION --- END ###
def defineCCD(iccd, config_file):
with open(config_file, "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(chipID=iccd, config=config)
chip.img = galsim.ImageF(chip.npix_x, chip.npix_y)
focal_plane = FocalPlane(chip_list=[iccd])
chip.img.wcs= focal_plane.getTanWCS(192.8595, 27.1283, -113.4333*galsim.degrees, chip.pix_scale)
return chip
def defineFilt(chip):
filter_param = FilterParam()
filter_id, filter_type = chip.getChipFilter()
filt = Filter(
filter_id=filter_id,
filter_type=filter_type,
filter_param=filter_param,
ccd_bandpass=chip.effCurve)
bandpass_list = filt.bandpass_sub_list
return bandpass_list
class detModule_coverage(unittest.TestCase):
def __init__(self, methodName='runTest'):
super(detModule_coverage, self).__init__(methodName)
self.dataPath = os.path.join(os.getenv('UNIT_TEST_DATA_ROOT'), 'csst_fz_msc')
self.iccd = 1
def test_add_prescan_overscan(self):
config_file = os.path.join(self.dataPath, 'config_test.yaml')
chip = defineCCD(self.iccd, config_file)
bandpass = defineFilt(chip)
print(chip.chipID)
print(chip.cen_pix_x, chip.cen_pix_y)
chip.img = AddPreScan(GSImage=chip.img,
pre1=chip.prescan_x,
pre2=chip.prescan_y,
over1=chip.overscan_x,
over2=chip.overscan_y)
self.assertTrue( (chip.prescan_x+chip.overscan_x)*8+chip.npix_x == np.shape(chip.img.array)[1] )
self.assertTrue( (chip.prescan_y+chip.overscan_y)*2+chip.npix_y == np.shape(chip.img.array)[0] )
if __name__ == '__main__':
unittest.main()
tools/getPSF.py 0 → 100644
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View file @ edd720e6
import os
import numpy as np
import ObservationSim.PSF.PSFInterp as PSFInterp
from ObservationSim.Instrument import Chip, Filter, FilterParam
import yaml
import galsim
import astropy.io.fits as fitsio
# Setup PATH
SIMPATH = "/share/simudata/CSSOSDataProductsSims/data/CSSTSimImage_C8/testRun_FGS"
config_filename= SIMPATH+"/config_C6_fits.yaml"
cat_filename = SIMPATH+"/MSC_00000000/MSC_10106100000000_chip_40_filt_FGS.cat"
# Read cat file
catFn = open(cat_filename,"r")
line = catFn.readline()
print(cat_filename,'\n',line)
imgPos = []
chipID = -1
for line in catFn:
line = line.strip()
columns = line.split()
if chipID == -1:
chipID = int(columns[1])
else:
assert chipID == int(columns[1])
ximg = float(columns[3])
yimg = float(columns[4])
imgPos.append([ximg, yimg])
imgPos = np.array(imgPos)
nobj = imgPos.shape[0]
print('chipID, nobj::', chipID, nobj)
# Read config file
with open(config_filename, "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)
# Setup Chip
chip = Chip(chipID=chipID, config=config)
print('chip.bound::', chip.bound.xmin, chip.bound.xmax, chip.bound.ymin, chip.bound.ymax)
for iobj in range(nobj):
print("\nget psf for iobj-", iobj, '\t', 'bandpass:', end=" ", flush=True)
# Setup Position on focalplane
x, y = imgPos[iobj, :] # try get the PSF at some location (1234, 1234) on the chip
x = x+chip.bound.xmin
y = y+chip.bound.ymin
pos_img = galsim.PositionD(x, y)
# Setup sub-bandpass
# (There are 4 sub-bandpasses for each PSF sample)
filter_param = FilterParam()
filter_id, filter_type = chip.getChipFilter()
filt = Filter(
filter_id=filter_id,
filter_type=filter_type,
filter_param=filter_param,
ccd_bandpass=chip.effCurve)
bandpass_list = filt.bandpass_sub_list
for i in range(len(bandpass_list)):
print(i, end=" ", flush=True)
bandpass = bandpass_list[i] # say you want to access the PSF for the sub-bandpass at the blue end for that chip
# Get corresponding PSF model
psf_model = PSFInterp(chip=chip, npsf=100, PSF_data_file=config["psf_setting"]["psf_dir"])
psf = psf_model.get_PSF(chip=chip, pos_img=pos_img, bandpass=bandpass, galsimGSObject=False)
if True:
fn = "psf_{:}.{:}.{:}.fits".format(chipID, iobj, i)
if fn != None:
if os.path.exists(fn):
os.remove(fn)
hdu = fitsio.PrimaryHDU()
hdu.data = psf
hdu.header.set('pixScale', 5)
hdu.writeto(fn)
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