Commit 93270bbf authored by Zhang Xin's avatar Zhang Xin
Browse files

Merge branch 'sim_scheduler' of... 

Merge branch 'sim_scheduler' of https://csst-tb.bao.ac.cn/code/csst_sim/csst-simulation into sim_scheduler
parents af3e3304 0d1520b4

tests/PSFInterpTest/readme

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unittest of PSF module:

  --test_loadPSFSet.py

    --testdata: S30x30_psfCube_1.h5 config_test.yaml

  --test_PSFInterpModule_coverage.py

    --testdata: S30x30_psfCube_1.h5 S20x20_psfCube_1.h5 config_test.yaml

  --test_Convolve.py

    --testdata: ccd1-w1

tests/PSFInterpTest/test_Convolve.py

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'''

test galsim.interpolatedImage & galsim.convolve

'''



import os

import unittest



import numpy as np

import matplotlib.pyplot as plt

import galsim

import scipy.io

from scipy import ndimage





def psfEncircle(img, fraction=0.8, psfSampleSizeInMicrons=2.5, focalLengthInMeters=28, cenPix=None):

    #imgMaxPix_x, imgMaxPix_y = findMaxPix(img)

    y,x = ndimage.center_of_mass(img)  #y-rows, x-cols

    imgMaxPix_x = x #int(x)

    imgMaxPix_y = y #int(y)

    if cenPix != None:

        imgMaxPix_x = cenPix[0]

        imgMaxPix_y = cenPix[1]



    im1 = img.copy()

    im1size = im1.shape



    dis = np.zeros_like(img)

    for irow in range(im1size[0]):

        for icol in range(im1size[1]):

            dx = icol - imgMaxPix_x

            dy = irow - imgMaxPix_y

            dis[irow, icol] = np.hypot(dx, dy)



    nn = im1size[1]*im1size[0]

    disX = dis.reshape(nn)

    disXsortId = np.argsort(disX)



    imgX = img.reshape(nn)

    imgY = imgX[disXsortId]

    psfFrac = np.cumsum(imgY)/np.sum(imgY)

    ind = np.where(psfFrac > fraction)[0][0]



    REE80 = np.rad2deg(dis[np.where(img == imgY[ind])]*psfSampleSizeInMicrons*1e-6/focalLengthInMeters)*3600

    return REE80







def check_galsimConvolve(path=None, plotImage=True):

    #load psf data

    data=scipy.io.loadmat(path)

    imPSF = data['psf']

    pixSize = np.rad2deg(5.*1e-6/28)*3600

    imPSF = imPSF/np.sum(imPSF)



    #psf -> galsimInterpolatedImage

    img = galsim.ImageF(imPSF, scale=pixSize)

    imgt= galsim.InterpolatedImage(img)



    #imPSFt = imgt.drawImage(nx=256, ny=256, scale=pixSize, method='no_pixel')

    imPSFt = imgt.drawImage(nx=256, ny=256, scale=pixSize)



    ree80 = psfEncircle(imPSF, fraction=0.8, psfSampleSizeInMicrons=5.)

    ree80_pix = ree80/(np.rad2deg((5.*1e-6/28))*3600)



    sliceX = slice(128-int(np.round(ree80_pix[0])), 128+int(np.round(ree80_pix[0]))+1, 1)



    #set a point sorce

    src    = galsim.DeltaFunction(flux=1.0)



    result = galsim.Convolve(src, imgt)



    #drawImage with same pixSize

    #tmp    = result.drawImage(nx=256, ny=256, scale=pixSize, method='no_pixel')

    tmp    = result.drawImage(nx=256, ny=256, scale=pixSize)





    if plotImage != True:

        res = (imPSFt.array - imPSF)/imPSF

        d0 = np.mean(res[sliceX, sliceX].flatten())



        res = (tmp.array - imPSFt.array)/imPSFt.array

        d1 = np.mean(res[sliceX, sliceX].flatten())

        return d0, d1





    #plot images

    fig = plt.figure(figsize=(22, 5))

    ax=plt.subplot(1,3,1)

    plt.imshow(imPSF[128-10:128+10, 128-10:128+10])

    plt.annotate("ORG", [0.1, 0.9],xycoords="axes fraction", fontsize=16, color="w")

    plt.colorbar()



    ax=plt.subplot(1,3,2)

    plt.imshow(imPSFt.array[128-10:128+10, 128-10:128+10])

    plt.annotate("InterpolatedImage", [0.1, 0.9],xycoords="axes fraction", fontsize=16, color="w")

    plt.colorbar()



    ax=plt.subplot(1,3,3)

    plt.imshow(tmp.array[128-10:128+10, 128-10:128+10])

    plt.annotate("ConvolvedImage", [0.1, 0.9],xycoords="axes fraction", fontsize=16, color="w")

    plt.colorbar()

    plt.savefig(OUTPUTPATH+'/fig_check_galsimConvolve_1.pdf')



    fig = plt.figure(figsize=(13, 10))

    ax=plt.subplot(2,2,1)

    res = (imPSFt.array - imPSF)/imPSF

    plt.imshow(res[128-10:128+10, 128-10:128+10])

    plt.annotate("$\Delta_1$", [0.1, 0.9],xycoords="axes fraction", fontsize=16, color="w")

    plt.colorbar()



    ax=plt.subplot(2,2,2)

    plt.hist(res[sliceX, sliceX].flatten(), alpha=0.75, bins=4)

    #plt.annotate("$\Delta_1^{\\rm REE80}$", [0.1, 0.9],xycoords="axes fraction", fontsize=16, color="k")

    plt.xlabel("$\Delta_1^{\\rm REE80}$", fontsize=16)

    plt.ylabel("PDF", fontsize=16)



    ax=plt.subplot(2,2,3)

    res = (tmp.array - imPSFt.array)/imPSFt.array

    plt.imshow(res[128-10:128+10, 128-10:128+10])

    plt.annotate("$\Delta_2$", [0.1, 0.9],xycoords="axes fraction", fontsize=16, color="w")

    plt.colorbar()



    ax=plt.subplot(2,2,4)

    plt.hist(res[sliceX, sliceX].flatten(), alpha=0.75, bins=4)

    #plt.annotate("$\Delta_2^{\\rm REE80}$", [0.1, 0.9],xycoords="axes fraction", fontsize=16, color="k")

    plt.xlabel("$\Delta_2^{\\rm REE80}$", fontsize=16)

    plt.ylabel("PDF", fontsize=16)



    plt.savefig(OUTPUTPATH+'/fig_check_galsimConvolve_2.pdf')





def check_galsimConvolveALL(dataPath):

    d0 = np.zeros(900)

    d1 = np.zeros(900)

    for ipsf in range(1,901,1):

        print("ipsf={:}".format(ipsf), end="\r")

        psfPath = dataPath+"/ccd1-w1/psf_{:}_centroidWgt_BC.mat".format(ipsf)

        t0,t1=check_galsimConvolve(path = psfPath, plotImage=False)

        d0[ipsf-1] = t0

        d1[ipsf-1] = t1

      

    fig = plt.figure(figsize=(12,6))

    ax = plt.subplot(1,2,1)

    #plt.scatter(np.linspace(1,900,900), d0)

    plt.hist(d0, bins=8, alpha=0.75)

    plt.xlabel("mean($\Delta_1^{\\rm REE80}$)", fontsize=16)

    plt.ylabel("PDF", fontsize=16)



    ax = plt.subplot(1,2,2)

    #plt.scatter(np.linspace(1,900,900), d1)

    plt.hist(d1, bins=8, alpha=0.75)

    plt.xlabel("mean($\Delta_2^{\\rm REE80}$)", fontsize=16)

    plt.ylabel("PDF", fontsize=16)



    plt.savefig(OUTPUTPATH+'/fig_check_galsimConvolveALL.pdf')

 



class testConvolve(unittest.TestCase):

    def __init__(self, methodName='runTest'):

        super(testConvolve,self).__init__(methodName)

        self.dataPath = os.path.join(os.getenv('UNIT_TEST_DATA_ROOT'), 'csst_fz_gc1')



        global OUTPUTPATH

        OUTPUTPATH = os.path.join(self.dataPath, 'outputs')



    def test_galsimConvolve(self):

        ipsf = 1

        psfPath = self.dataPath+"/ccd1-w1/psf_{:}_centroidWgt_BC.mat".format(ipsf)

        check_galsimConvolve(path = psfPath)



    def test_galsimConvolveALL(self):

        check_galsimConvolveALL(dataPath=self.dataPath)





if __name__ == "__main__":

    unittest.main()

tests/PSFInterpTest/test_PSFInterpModule_coverage.py

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import unittest



import sys,os,math

from itertools import islice



import numpy as np

import matplotlib.pyplot as plt

import matplotlib as mpl

mpl.use('Agg')



import yaml

from ObservationSim.Instrument import Chip

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 = Chip(chipID=iccd, ccdEffCurve_dir=path_dict["ccd_dir"], CRdata_dir=path_dict["CRdata_dir"], normalize_dir=path_dict["normalize_dir"], sls_dir=path_dict['sls_dir'], config=config)

    return chip



def psfSecondMoments(psfMat, cenX, cenY, pixSize=1):

    apr = 0.5 #arcsec, 0.5角秒内测量

    fl  = 28. #meters

    pxs = 2.5 #microns

    apr = np.deg2rad(apr/3600.)*fl*1e6

    apr = apr/pxs

    apr = int(np.ceil(apr))



    I = psfMat

    ncol = I.shape[1]

    nrow = I.shape[0]

    w   = 0.0

    w11 = 0.0

    w12 = 0.0

    w22 = 0.0

    for icol in range(ncol):

        for jrow in range(nrow):

            x = icol*pixSize - cenX

            y = jrow*pixSize - cenY

            rr = np.sqrt(x*x + y*y)

            wgt= 0.0

            if rr <= apr:

                wgt = 1.0

            w   += I[jrow, icol]*wgt

            w11 += x*x*I[jrow, icol]*wgt

            w12 += x*y*I[jrow, icol]*wgt

            w22 += y*y*I[jrow, icol]*wgt

    w11 /= w

    w12 /= w

    w22 /= w

    sz = w11 + w22

    e1 = (w11 - w22)/sz

    e2 = 2.0*w12/sz



    return sz, e1, e2





def test_psfEll(iccd, iwave, psfMat):

    psfMat_iwave = psfMat.psfMat[iwave-1, :,:,:]

    npsf = np.shape(psfMat_iwave)[0]



    imx = np.zeros(npsf)

    imy = np.zeros(npsf)

    psf_e1 = np.zeros(npsf)

    psf_e2 = np.zeros(npsf)

    psf_sz = np.zeros(npsf)



    for ipsf in range(1, npsf+1):

        print('ipsf-{:}'.format(ipsf), end='\r')

        imx[ipsf-1] = psfMat.cen_col[iwave-1, ipsf-1]

        imy[ipsf-1] = psfMat.cen_row[iwave-1, ipsf-1]

        psfMat_iwave_ipsf = psfMat_iwave[ipsf-1, :, :]

        cenX = 256

        cenY = 256

        sz, e1, e2  = psfSecondMoments(psfMat_iwave_ipsf, cenX, cenY, pixSize=1)

        psf_e1[ipsf-1] = e1

        psf_e2[ipsf-1] = e2

        psf_sz[ipsf-1] = sz

        #print('ell======', ipsf, np.sqrt(e1**2 + e2**2))

    #######

    arr = [imx, imy, psf_e1, psf_e2, psf_sz]

    np.save(OUTPUTPATH+'/psfEll{:}_{:}_{:}'.format(int(np.sqrt(npsf)),iccd, iwave), arr)





def test_psfEllPlot(OVERPLOT=False):

    #if ThisTask == 0:

    if True:

        prefix = 'psfEll30'

        iccd = 1

        iwave= 1

        data = np.load(OUTPUTPATH+'/'+prefix+'_1_1.npy')

        imx= data[0]

        imy= data[1]

        psf_e1 = data[2]

        psf_e2 = data[3]

        print(np.shape(imx))

        npsf = np.shape(imx)[0]



        #######

        plt.cla()

        plt.close("all")



        fig = plt.figure(figsize=(12, 12))

        plt.subplots_adjust(wspace=0.1, hspace=0.1)

        ax = plt.subplot(1, 1, 1)

        for ipsf in range(npsf):

            plt.plot(imx[ipsf], imy[ipsf], 'r.')



            ang = np.arctan2(psf_e2[ipsf], psf_e1[ipsf])/2

            ell = np.sqrt(psf_e1[ipsf]**2 + psf_e2[ipsf]**2)

            ell *= 15

            lcos = ell*np.cos(ang)

            lsin = ell*np.sin(ang)

            plt.plot([imx[ipsf]-lcos, imx[ipsf]+lcos],[imy[ipsf]-lsin, imy[ipsf]+lsin],'r', lw=2)

            ###########

        ang = 0.

        ell = 0.05

        ell*= 15

        lcos = ell*np.cos(ang)

        lsin = ell*np.sin(ang)

        plt.plot([imx[898]-lcos, imx[898]+lcos],[imy[898]+5.-lsin, imy[898]+5.+lsin],'k', lw=2)

        plt.annotate('{:}'.format(ell/15), (imx[898]-2., imy[898]+6.), xycoords='data', fontsize=10)

        plt.xlabel('CCD X (mm)')

        plt.ylabel('CCD Y (mm)')



        if OVERPLOT == True:

            prefix = 'psfEll20'

            data = np.load(OUTPUTPATH+'/'+prefix+'_1_1.npy')

            imx= data[0]

            imy= data[1]

            psf_e1 = data[2]

            psf_e2 = data[3]



            npsf = np.shape(imx)[0]

            for ipsf in range(npsf):

                plt.plot(imx[ipsf], imy[ipsf], 'b.')



                ang = np.arctan2(psf_e2[ipsf], psf_e1[ipsf])/2

                ell = np.sqrt(psf_e1[ipsf]**2 + psf_e2[ipsf]**2)

                ell *= 15

                lcos = ell*np.cos(ang)

                lsin = ell*np.sin(ang)

                plt.plot([imx[ipsf]-lcos, imx[ipsf]+lcos],[imy[ipsf]-lsin, imy[ipsf]+lsin],'b', lw=2)



        plt.gca().set_aspect(1)

        if OVERPLOT == True:

            prefix = 'psfEllOP'

        plt.savefig(OUTPUTPATH+'/'+prefix+'_iccd{:}.pdf'.format(iccd))





def test_psfIDW(iccd, iwave, psfMatA, chip, psfMatB):

    bandpass = iwave-1

    class pos_img():

        def __init__(self,x, y):

            self.x = x*1e3/10.  #in unit of pixels

            self.y = y*1e3/10.



    psfMat_iwave = psfMatA.psfMat[iwave-1, :,:,:]

    npsf = np.shape(psfMat_iwave)[0]

    psf_e1 = np.zeros(npsf)

    psf_e2 = np.zeros(npsf)

    psf_sz = np.zeros(npsf)



    for ipsf in range(1, npsf+1):

        print('ipsf:', ipsf, end='\r', flush=True)

        tpos_img = pos_img(psfMatA.cen_col[iwave-1, ipsf-1], psfMatA.cen_row[iwave-1, ipsf-1])

        psfIDW = psfMatB.get_PSF(chip, tpos_img, bandpass, galsimGSObject=False, findNeighMode='treeFind')

        np.save(OUTPUTPATH+'/psfIDW_{:}_{:}_{:}'.format(iccd, iwave, ipsf), psfIDW)



        cenX = 256

        cenY = 256

        sz, e1, e2  = psfSecondMoments(psfIDW, cenX, cenY, pixSize=1)

        psf_e1[ipsf-1] = e1

        psf_e2[ipsf-1] = e2

        psf_sz[ipsf-1] = sz

    arr = [psf_e1, psf_e2, psf_sz]

    np.save(OUTPUTPATH+'/psfEll20IDW_{:}_{:}'.format(iccd, iwave), arr)





def test_psfResidualPlot(iccd, iwave, ipsf, psfMatA):

    psfMat_iwave = psfMatA.psfMat[iwave-1, :,:,:]



    psfMatORG = psfMat_iwave[ipsf-1, :, :]

    psfMatIDW = np.load(OUTPUTPATH+'/psfIDW_{:}_{:}_{:}.npy'.format(iccd, iwave, ipsf))



    npix = psfMatORG.shape[0]

    pixCutEdge= int(npix/2-15)



    img0 = psfMatORG[pixCutEdge:npix-pixCutEdge, pixCutEdge:npix-pixCutEdge]

    img1 = psfMatIDW[pixCutEdge:npix-pixCutEdge, pixCutEdge:npix-pixCutEdge]

    imgX = (img1 - img0)/img0



    img0 = np.log10(img0)

    img1 = np.log10(img1)

    imgX = np.log10(np.abs(imgX))



    fig = plt.figure(figsize=(18,4))

    ax = plt.subplot(1,3,1)

    plt.imshow(img0, origin='lower', vmin=-7, vmax=-1.3)

    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.annotate('ORG', [0,(npix/2-pixCutEdge)*2-5], c='w', size=15)

    cticks=[-7, -6, -5, -4, -3, -2, -1]

    cbar = plt.colorbar(ticks=cticks)

    cbar.ax.set_yticklabels(['$10^{-7}$', '$10^{-6}$', '$10^{-5}$','$10^{-4}$','$10^{-3}$','$10^{-2}$', '$10^{-1}$'])

    print(img0.min(), img0.max())





    ax = plt.subplot(1,3,2)

    plt.imshow(img1, origin='lower', vmin=-7, vmax=-1.3)

    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.annotate('IDW', [0,(npix/2-pixCutEdge)*2-5], c='w', size=15)

    cticks=[-7, -6, -5, -4, -3, -2, -1]

    cbar = plt.colorbar(ticks=cticks)

    cbar.ax.set_yticklabels(['$10^{-7}$', '$10^{-6}$', '$10^{-5}$','$10^{-4}$','$10^{-3}$','$10^{-2}$', '$10^{-1}$'])

    print(img1.min(), img1.max())





    ax = plt.subplot(1,3,3)

    plt.imshow(imgX, origin='lower', vmin =-3, vmax =np.log10(3e-1))

    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.annotate('(IDW-ORG)/ORG', [0,(npix/2-pixCutEdge)*2-5], c='w', size=15)

    cticks=[-5, -4, -3, -2, -1]

    cbar = plt.colorbar(ticks=cticks)

    cbar.ax.set_yticklabels(['$10^{-5}$','$10^{-4}$','$10^{-3}$','$10^{-2}$', '$10^{-1}$'])



    print(np.max((psfMatORG-psfMatIDW)))

    plt.savefig(OUTPUTPATH+'/psfResidual_iccd{:}.pdf'.format(iccd))





def test_psfEllIDWPlot(OVERPLOT=False):

    #if ThisTask == 0:

    if True:

        prefix = 'psfEll20'

        iccd = 1

        iwave= 1

        data = np.load(OUTPUTPATH+'/'+prefix+'_1_1.npy')

        imx= data[0]

        imy= data[1]

        psf_e1 = data[2]

        psf_e2 = data[3]

        print(np.shape(imx))

        npsf = np.shape(imx)[0]



        #######

        plt.cla()

        plt.close("all")



        fig = plt.figure(figsize=(12, 12))

        plt.subplots_adjust(wspace=0.1, hspace=0.1)

        ax = plt.subplot(1, 1, 1)

        for ipsf in range(npsf):

            plt.plot(imx[ipsf], imy[ipsf], 'b.')



            ang = np.arctan2(psf_e2[ipsf], psf_e1[ipsf])/2

            ell = np.sqrt(psf_e1[ipsf]**2 + psf_e2[ipsf]**2)

            ell *= 15

            lcos = ell*np.cos(ang)

            lsin = ell*np.sin(ang)

            plt.plot([imx[ipsf]-lcos, imx[ipsf]+lcos],[imy[ipsf]-lsin, imy[ipsf]+lsin],'b', lw=2)

            ###########

        ang = 0.

        ell = 0.05

        ell*= 15

        lcos = ell*np.cos(ang)

        lsin = ell*np.sin(ang)

        #plt.plot([imx[898]-lcos, imx[898]+lcos],[imy[898]+5.-lsin, imy[898]+5.+lsin],'k', lw=2)

        #plt.annotate('{:}'.format(ell/15), (imx[898]-2., imy[898]+6.), xycoords='data', fontsize=10)

        plt.xlabel('CCD X (mm)')

        plt.ylabel('CCD Y (mm)')



        if OVERPLOT == True:

            prefix = 'psfEll20IDW'

            data = np.load(OUTPUTPATH+'/'+prefix+'_1_1.npy')

            #imx= data[0]

            #imy= data[1]

            psf_e1 = data[0]

            psf_e2 = data[1]



            npsf = np.shape(imx)[0]

            for ipsf in range(npsf):

                #plt.plot(imx[ipsf], imy[ipsf], 'r.')



                ang = np.arctan2(psf_e2[ipsf], psf_e1[ipsf])/2

                ell = np.sqrt(psf_e1[ipsf]**2 + psf_e2[ipsf]**2)

                ell *= 15

                lcos = ell*np.cos(ang)

                lsin = ell*np.sin(ang)

                plt.plot([imx[ipsf]-lcos, imx[ipsf]+lcos],[imy[ipsf]-lsin, imy[ipsf]+lsin],'r', lw=1)



        plt.gca().set_aspect(1)

        if OVERPLOT == True:

            prefix = 'psfEllOPIDW'

        plt.savefig(OUTPUTPATH+'/'+prefix+'_iccd{:}.pdf'.format(iccd))





def test_psfdEllabsPlot(iccd):

    #if ThisTask == 0:

    if True:

        prefix = 'psfEll20'

        #iccd = 1

        #iwave= 1

        data = np.load(OUTPUTPATH+'/'+prefix+'_{:}_1.npy'.format(iccd))

        imx= data[0]

        imy= data[1]

        psf_e1 = data[2]

        psf_e2 = data[3]

        psf_sz = data[4]

        print(np.shape(imx))

        npsf = np.shape(imx)[0]



        ellX = np.sqrt(psf_e1**2 + psf_e2**2)

        angX = np.arctan2(psf_e2, psf_e1)/2

        angX = np.rad2deg(angX)

        szX  = psf_sz



        ##############################

        prefix = 'psfEll20IDW'

        data = np.load(OUTPUTPATH+'/'+prefix+'_{:}_1.npy'.format(iccd))

        #imx= data[0]

        #imy= data[1]

        psf_e1 = data[0]

        psf_e2 = data[1]

        psf_sz = data[2]



        ellY = np.sqrt(psf_e1**2 + psf_e2**2)

        angY = np.arctan2(psf_e2, psf_e1)/2

        angY = np.rad2deg(angY)

        szY  = psf_sz



        ##############################

        fig=plt.figure(figsize=(6, 5))

        grid = plt.GridSpec(3,1,left=0.15, right=0.95, wspace=None, hspace=0.02)

        #plt.subplots_adjust(left=None,bottom=None,right=None,top=None,wspace=None,hspace=0.02)

        ax = plt.subplot(grid[0:2,0])

        plt.plot([0.01,0.1],[0.01,0.1], 'k--', lw=1. )

        plt.scatter(ellX, ellY, color='b', alpha=1., s=3., edgecolors='None')

        #plt.xlim([0.015, 0.085])

        #plt.ylim([0.015, 0.085])

        plt.ylabel('$\epsilon_{\\rm IDW}$')

        plt.gca().axes.get_xaxis().set_visible(False)



        ax = plt.subplot(grid[2,0])

        plt.plot([0.015,0.085],[0.,0.], 'k--', lw=1. )

        plt.scatter(ellX, (ellY-ellX), color='b', s=3., edgecolors='None')

        #plt.xlim([0.015, 0.085])

        #plt.ylim([-0.0018, 0.0018])

        plt.xlabel('$\epsilon_{\\rm ORG}$')

        plt.ylabel('$\Delta$')

        plt.savefig(OUTPUTPATH+'/psfEllOPIDWPDF_{:}.pdf'.format(iccd))



        fig=plt.figure(figsize=(6, 6))

        plt.hist((szY-szX)/szX, bins=20, color='r', alpha=0.5)

        plt.xlabel('$(R_{\\rm IDW}-R_{\\rm ORG})/R_{\\rm ORG}$')

        plt.ylabel('PDF')

        plt.savefig(OUTPUTPATH+'/psfEllOPIDWPDF_dsz_{:}.pdf'.format(iccd))





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_gc1')

        global OUTPUTPATH

        OUTPUTPATH = os.path.join(self.dataPath, 'outputs')



    def test_psfEll_(self):

        iccd = 1

        iwave= 1



        config_file = os.path.join(self.dataPath, 'config_test.yaml') 

        chip = defineCCD(iccd, config_file)

        print(chip.chipID)

        print(chip.cen_pix_x, chip.cen_pix_y)



        psfMatA = PSFInterp(chip, npsf=400, PSF_data_file=self.dataPath, PSF_data_prefix="S20x20_")

        psfMatB = PSFInterp(chip, npsf=900, PSF_data_file=self.dataPath, PSF_data_prefix="S30x30_")



        test_psfEll(iccd, iwave, psfMatA)

        test_psfEll(iccd, iwave, psfMatB)

        test_psfEllPlot(OVERPLOT=True)



        test_psfIDW(iccd, iwave, psfMatA, chip, psfMatB)

        ipsf = 1

        test_psfResidualPlot(iccd, iwave, ipsf, psfMatA)

        test_psfEllIDWPlot(OVERPLOT=True)

        test_psfdEllabsPlot(iccd)





if __name__ == '__main__':

    unittest.main()

    print('#####haha#####')

tests/PSFInterpTest/test_loadPSFSet.py

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Original line number Original line Diff line number Diff line 
import unittest



import sys,os,math

from itertools import islice



import numpy as np



import yaml

from ObservationSim.Instrument import Chip

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 = Chip(chipID=iccd, ccdEffCurve_dir=path_dict["ccd_dir"], CRdata_dir=path_dict["CRdata_dir"], normalize_dir=path_dict["normalize_dir"], sls_dir=path_dict['sls_dir'], config=config)

    return chip



def loadPSFSet(iccd, dataPath):

    config_file = os.path.join(dataPath, 'config_test.yaml')

    chip = defineCCD(iccd, config_file)

    print(chip.chipID)

    print(chip.cen_pix_x, chip.cen_pix_y)



    psfMat= PSFInterp(chip, npsf=900, PSF_data_file=dataPath, PSF_data_prefix="S30x30_")

    psfSet= psfMat._loadPSF(iccd, dataPath, PSF_data_prefix="S30x30_")



    twave = 0 #[0...3]

    tpsf  = 0 #[0...899]

    field_x= psfSet[twave][tpsf]['field_x']

    field_y= psfSet[twave][tpsf]['field_y']

    image_x= psfSet[twave][tpsf]['image_x']

    image_y= psfSet[twave][tpsf]['image_y']

    centroid_x= psfSet[twave][tpsf]['centroid_x']

    centroid_y= psfSet[twave][tpsf]['centroid_y']

    print("pos_info:", field_x, field_y, image_x, image_y, centroid_x, centroid_y)

    return psfSet







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_gc1')



    def test_psfEll_(self):

        iccd = 1  #[1...30]

        psfSet = loadPSFSet(iccd, dataPath=self.dataPath)





if __name__ == '__main__':

    unittest.main()

    print('#####haha#####')

tests/UNIT_TEST_DATA/config_test.yaml

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