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'''
PSF interpolation for CSST-Sim
NOTE: [iccd, iwave, ipsf] are counted from 1 to n, but [tccd, twave, tpsf] are counted from 0 to n-1
'''
import galsim
import numpy as np
import os
import time
import copy
import PSF.PSFInterp.PSFConfig as myConfig
import PSF.PSFInterp.PSFUtil as myUtil
from PSF.PSFModel import PSFModel
LOG_DEBUG = False #***#
NPSF = 900 #***# 30*30
iccdTest = 1 #***#
class PSFInterp(PSFModel):
# def __init__(self, PSF_data=None, params=None, PSF_data_file=None):
def __init__(self, chip, PSF_data=None, PSF_data_file=None, sigSpin=0., psfRa=0.15):
"""
The PSF data matrix is either given by a object parameter or read in from a file.
Parameters:
PSF_data: The PSF data matrix object
params: Other parameters?
PSF_data_file: The file for PSF data matrix (optional).
"""
if LOG_DEBUG:
print('===================================================')
print('DEBUG: psf module for csstSim ' \
+time.strftime("(%Y-%m-%d %H:%M:%S)", time.localtime()), flush=True)
print('===================================================')
self.sigSpin = sigSpin
self.sigGauss = psfRa # 80% light radius
self.iccd = int(chip.getChipLabel(chipID=chip.chipID))
if PSF_data_file == None:
PSF_data_file = '/data/simudata/CSSOSDataProductsSims/data/csstPSFdata/CSSOS_psf_ciomp_30X30'
self.nwave= self._getPSFwave(self.iccd, PSF_data_file)
self.PSF_data = self._loadPSF(self.iccd, PSF_data_file)
if LOG_DEBUG:
print('nwave-{:} on ccd-{:}::'.format(self.nwave, self.iccd), flush=True)
print('self.PSF_data ... ok', flush=True)
print('Preparing self.[psfMat,cen_col,cen_row] for psfMaker ... ', end='', flush=True)
ngy, ngx = self.PSF_data[0][0]['psfMat'].shape
self.psfMat = np.zeros([self.nwave, NPSF, ngy, ngx])
self.cen_col= np.zeros([self.nwave, NPSF])
self.cen_row= np.zeros([self.nwave, NPSF])
self.hoc =[]
self.hoclist=[]
for twave in range(self.nwave):
for tpsf in range(NPSF):
#psfMatX = myUtil.psfTailor(self.PSF_data[twave][tpsf]['psfMat'], apSizeInArcsec=2.5)
self.psfMat[twave, tpsf, :, :] = self.PSF_data[twave][tpsf]['psfMat']
self.cen_col[twave, tpsf] = self.PSF_data[twave][tpsf]['image_x'] + self.PSF_data[twave][tpsf]['centroid_x']
self.cen_row[twave, tpsf] = self.PSF_data[twave][tpsf]['image_y'] +self.PSF_data[twave][tpsf]['centroid_y']
#hoclist on twave for neighborsFinding
hoc,hoclist = myUtil.findNeighbors_hoclist(self.cen_col[twave], self.cen_row[twave])
self.hoc.append(hoc)
self.hoclist.append(hoclist)
if LOG_DEBUG:
print('ok', flush=True)
def _getPSFwave(self, iccd, PSF_data_file):
"""
Get # of sampling waves on iccd
Parameters:
iccd: The chip of i-th ccd
PSF_data_file: The file for PSF data matrix
Returns:
nwave: The number of the sampling waves
"""
strs = os.listdir(PSF_data_file + '/ccd{:}'.format(iccd))
nwave = 0
for _ in strs:
if 'wave_' in _:
nwave += 1
return nwave
def _loadPSF(self, iccd, PSF_data_file):
"""
load psf-matrix on iccd
Parameters:
iccd: The chip of i-th ccd
PSF_data_file: The file for PSF data matrix
Returns:
psfSet: The matrix of the csst-psf
"""
psfSet = []
for ii in range(self.nwave):
iwave = ii+1
if LOG_DEBUG:
print('self._loadPSF: iwave::', iwave, flush=True)
psfWave = []
for jj in range(NPSF):
ipsf = jj+1
psfInfo = myConfig.LoadPSF(iccd, iwave, ipsf, PSF_data_file, InputMaxPixelPos=True, PSFCentroidWgt=True)
psfWave.append(psfInfo)
psfSet.append(psfWave)
if LOG_DEBUG:
print('psfSet has been loaded:', flush=True)
print('psfSet[iwave][ipsf][keys]:', psfSet[0][0].keys(), flush=True)
return psfSet
def _preprocessPSF(self):
"""
Preprocessing psf-matrix
Parameters:
Returns:
itpPSF_data: The matrix of the preprocessed csst-psf
"""
'''
#old version (discarded)
itpPSF_data = copy.deepcopy(self.PSF_data)
for twave in range(self.nwave):
for tpsf in range(NPSF):
psfMat = self.PSF_data[twave][tpsf]['psfMat']
psf_image_x = self.PSF_data[twave][tpsf]['image_x']
psf_image_y = self.PSF_data[twave][tpsf]['image_y']
#psfMatX= myUtil.psfCentering(psfMat, CenteringMode=1)
#itpPSF_data[twave][tpsf]['psfMat'] = psfMatX
#img, cxt, cyt = myUtil.psfCentering_wgt(psfMat, psf_image_x, psf_image_y)
#itpPSF_data[twave][tpsf]['psfMat'] = img
#itpPSF_data[twave][tpsf]['centroid_x'] = cxt
#itpPSF_data[twave][tpsf]['centroid_y'] = cyt
return itpPSF_data
'''
pass
def _findWave(self, bandpass):
for twave in range(self.nwave):
bandwave = self.PSF_data[twave][0]['wavelength']
if bandpass.blue_limit < bandwave and bandwave < bandpass.red_limit:
return twave
return -1
def get_PSF(self, chip, pos_img, bandpass, pixSize=0.037, galsimGSObject=True, folding_threshold=5.e-3):
"""
Get the PSF at a given image position
Parameters:
chip: A 'Chip' object representing the chip we want to extract PSF from.
pos_img: A 'galsim.Position' object representing the image position.
bandpass: A 'galsim.Bandpass' object representing the wavelength range.
pixSize: The pixels size of psf matrix
Returns:
PSF: A 'galsim.GSObject'.
"""
assert self.iccd == int(chip.getChipLabel(chipID=chip.chipID)), 'ERROR: self.iccd != chip.label'
# twave = bandpass-1 #***# ??? #self.findWave(bandpass) ###twave=iwave-1 as that in NOTE
twave = self._findWave(bandpass)
if twave == -1:
print("!!!PSF bandpass does not match.")
exit()
PSFMat = self.psfMat[twave]
cen_col= self.cen_col[twave]
cen_row= self.cen_row[twave]
# px = pos_img[0]
# py = pos_img[1]
px = (pos_img.x - chip.cen_pix_x)*0.01
py = (pos_img.y - chip.cen_pix_y)*0.01
imPSF = myConfig.psfMaker_IDW(px, py, PSFMat, cen_col, cen_row, IDWindex=2, OnlyNeighbors=True, hoc=self.hoc[twave], hoclist=self.hoclist[twave], PSFCentroidWgt=True)
#imPSF = myConfig.psfMaker_IDW(px, py, PSFMat, cen_col, cen_row, IDWindex=2, OnlyNeighbors=True, PSFCentroidWgt=True)
if galsimGSObject:
img = galsim.ImageF(imPSF, scale=pixSize)
gsp = galsim.GSParams(folding_threshold=folding_threshold)
self.psf = galsim.InterpolatedImage(img, gsparams=gsp)
# dx = px - chip.cen_pix_x
# dy = py - chip.cen_pix_y
return self.PSFspin(x=px/0.01, y=py/0.01)
return imPSF
def PSFspin(self, x, y):
"""
The PSF profile at a given image position relative to the axis center
Parameters:
theta : spin angles in a given exposure in unit of [arcsecond]
dx, dy: relative position to the axis center in unit of [pixels]
Return:
Spinned PSF: g1, g2 and axis ratio 'a/b'
"""
a2Rad = np.pi/(60.0*60.0*180.0)
ff = self.sigGauss * 0.107 * (1000.0/10.0) # in unit of [pixels]
rc = np.sqrt(x*x + y*y)
cpix = rc*(self.sigSpin*a2Rad)
beta = (np.arctan2(y,x) + np.pi/2)
ell = cpix**2/(2.0*ff**2+cpix**2)
qr = np.sqrt((1.0+ell)/(1.0-ell))
PSFshear = galsim.Shear(e=ell, beta=beta*galsim.radians)
return self.psf.shear(PSFshear), PSFshear
def testPSFInterp():
import time
import matplotlib.pyplot as plt
iccd = iccdTest #[1, 30] for test
iwave= 1 #[1, 4] for test
npsfB = 900
psfPathB = '/data/simudata/CSSOSDataProductsSims/data/csstPSFdata/CSSOS_psf_ciomp_30X30'
psfCSST = PSFInterp(PSF_data_file = psfPathB) ### define PSF_data from 30*30
npsfA = 100
psfPathA = '/data/simudata/CSSOSDataProductsSims/data/csstPSFdata/CSSOS_psf_ciomp'
psfSetA, PSFMatA, cen_colA, cen_rowA = myConfig.LoadPSFset(iccd, iwave, npsfA, psfPathA, InputMaxPixelPos=False, PSFCentroidWgt=True) ###load test_data from 10*10
psf_sz = np.zeros(npsfA)
psf_e1 = np.zeros(npsfA)
psf_e2 = np.zeros(npsfA)
psfMaker_sz = np.zeros(npsfA)
psfMaker_e1 = np.zeros(npsfA)
psfMaker_e2 = np.zeros(npsfA)
runtimeInterp = 0
starttime = time.time()
for ipsf in range(npsfA):
print('IDW-ipsf: {:4}/100'.format(ipsf), end='\r', flush=True)
starttimeInterp = time.time()
px = cen_colA[ipsf]
py = cen_rowA[ipsf]
pos_img = [px, py]
img = psfCSST.get_PSF(iccd, pos_img, iwave, galsimGSObject=False) ###interpolate PSF at[px,py]
endtimeInterp = time.time()
runtimeInterp = runtimeInterp + (endtimeInterp - starttimeInterp)
imx = psfSetA[ipsf]['psfMat']
imy = img
cenX, cenY, sz, e1, e2, REE80 = myUtil.psfSizeCalculator(imx, CalcPSFcenter=True, SigRange=True, TailorScheme=2)
psf_sz[ipsf] = sz
psf_e1[ipsf] = e1
psf_e2[ipsf] = e2
cenX, cenY, sz, e1, e2, REE80 = myUtil.psfSizeCalculator(imy, CalcPSFcenter=True, SigRange=True, TailorScheme=2)
psfMaker_sz[ipsf] = sz
psfMaker_e1[ipsf] = e1
psfMaker_e2[ipsf] = e2
endtime = time.time()
print('run time::', endtime - starttime, runtimeInterp)
if True:
ell_iccd = np.zeros(npsfA)
ell_iccd_psfMaker = np.zeros(npsfA)
fig = plt.figure(figsize=(18, 5))
plt.subplots_adjust(wspace=0.1, hspace=0.1)
ax = plt.subplot(1, 3, 1)
for ipsf in range(npsfA):
imx = cen_colA[ipsf]
imy = cen_rowA[ipsf]
plt.plot(imx, imy, 'b.')
ang = np.arctan2(psf_e2[ipsf], psf_e1[ipsf])/2
ell = np.sqrt(psf_e1[ipsf]**2 + psf_e2[ipsf]**2)
ell_iccd[ipsf] = ell
ell *= 50
lcos = ell*np.cos(ang)
lsin = ell*np.sin(ang)
plt.plot([imx-lcos, imx+lcos],[imy-lsin, imy+lsin],'b', lw=2)
###########
ang = np.arctan2(psfMaker_e2[ipsf], psfMaker_e1[ipsf])/2
ell = np.sqrt(psfMaker_e1[ipsf]**2 + psfMaker_e2[ipsf]**2)
ell_iccd_psfMaker[ipsf] = ell
ell *= 50
lcos = ell*np.cos(ang)
lsin = ell*np.sin(ang)
plt.plot([imx-lcos, imx+lcos],[imy-lsin, imy+lsin],'r', lw=1)
###########
plt.gca().set_aspect(1)
ax = plt.subplot(1, 3, 2)
tmp = plt.hist(ell_iccd, bins = 8, color='b', alpha=0.5)
tmp = plt.hist(ell_iccd_psfMaker, bins = 8, color='r', alpha=0.5)
plt.annotate('iccd-{:} iwave-{:}'.format(iccd, iwave), (0.55, 0.85), xycoords='axes fraction',fontsize=15)
plt.xlabel('ell')
plt.ylabel('PDF')
ax = plt.subplot(1, 3, 3)
dsz = (psfMaker_sz - psf_sz)/psf_sz
dsz_hist= plt.hist(dsz)
plt.xlabel('dsz')
plt.savefig('test/figs/testPSFInterp_30t10_iccd{:}_iwave{:}.pdf'.format(iccd, iwave))
if __name__ == '__main__':
if False:
psfPath = '/data/simudata/CSSOSDataProductsSims/data/csstPSFdata/CSSOS_psf_ciomp_30X30'
#psfPath = '/data/simudata/CSSOSDataProductsSims/data/csstPSFdata/CSSOS_psf_ciomp'
psfCSST = PSFInterp(PSF_data_file = psfPath)
iwave= 1
ipsf = 665
pos_img = [psfCSST.cen_col[iwave, ipsf], psfCSST.cen_row[iwave, ipsf]]
img = psfCSST.get_PSF(1, pos_img, iwave, galsimGSObject=False)
print('haha')
if True:
testPSFInterp()
if False:
#old version (discarded)
#plot check-1
import matplotlib.pyplot as plt
fig = plt.figure(figsize=(18,5))
ax = plt.subplot(1,3,1)
plt.imshow(img)
plt.colorbar()
ax = plt.subplot(1,3,2)
imgx = psfCSST.itpPSF_data[iwave][ipsf]['psfMat']
imgx/= np.sum(imgx)
plt.imshow(imgx)
plt.colorbar()
ax = plt.subplot(1,3,3)
plt.imshow(img - imgx)
plt.colorbar()
plt.savefig('test/figs/test1.jpg')
if False:
#old version (discarded)
#plot check-2: 注意图像坐标和全局坐标
fig = plt.figure(figsize=(8,8), dpi = 200)
img = psfCSST.PSF_data[iwave][ipsf]['psfMat']
npix = img.shape[0]
dng = 105
imgg = img[dng:-dng, dng:-dng]
plt.imshow(imgg)
imgX = psfCSST.PSF_data[iwave][ipsf]['image_x'] #in mm
imgY = psfCSST.PSF_data[iwave][ipsf]['image_y'] #in mm
deltX= psfCSST.PSF_data[iwave][ipsf]['centroid_x'] #in mm
deltY= psfCSST.PSF_data[iwave][ipsf]['centroid_y'] #in mm
maxX = psfCSST.PSF_data[iwave][ipsf]['max_x']
maxY = psfCSST.PSF_data[iwave][ipsf]['max_y']
cenPix_X = npix/2 + deltX/0.005
cenPix_Y = npix/2 - deltY/0.005
maxPix_X = npix/2 + maxX/0.005-1
maxPix_Y = npix/2 - maxY/0.005-1
plt.plot([cenPix_X-dng],[cenPix_Y-dng], 'rx', ms = 20)
plt.plot([maxPix_X-dng],[maxPix_Y-dng], 'b+', ms=20)
from scipy import ndimage
y, x = ndimage.center_of_mass(img)
plt.plot([x-dng],[y-dng], 'rx', ms = 10, mew=4)
x, y = myUtil.findMaxPix(img)
plt.plot([x-dng],[y-dng], 'b+', ms = 10, mew=4)
plt.savefig('test/figs/test2.jpg')