Commit 1ca08d23 authored by Zhang Xin's avatar Zhang Xin
Browse files

add sls psf model

parent 278305de
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+1 −0
Original line number Diff line number Diff line
@@ -20,6 +20,7 @@ def config_dir(config, work_dir=None, data_dir=None):
    # PSF data directory
    if config["psf_setting"]["psf_model"] == "Interp":
        path_dict["psf_dir"] = os.path.join(path_dict["data_dir"], config["psf_setting"]["psf_dir"])
        path_dict["psf_sls_dir"] = os.path.join(path_dict["data_dir"], config["psf_setting"]["psf_sls_dir"])

    return path_dict

+16 −0
Original line number Diff line number Diff line
@@ -21,6 +21,22 @@ def log_info(msg, logger=None):
    else:
        print(msg, flush=True)

def getChipSLSGratingID(chipID):
    gratingID = ['','']
    if chipID == 1: gratingID = ['GI2', 'GI1']
    if chipID == 2: gratingID = ['GV4', 'GV3']
    if chipID == 3: gratingID = ['GU2', 'GU1']
    if chipID == 4: gratingID = ['GU4', 'GU3']
    if chipID == 5: gratingID = ['GV2', 'GV1']
    if chipID == 10: gratingID = ['GI4', 'GI3']
    if chipID == 21: gratingID = ['GI6', 'GI5']
    if chipID == 26: gratingID = ['GV8', 'GV7']
    if chipID == 27: gratingID = ['GU6', 'GU5']
    if chipID == 28: gratingID = ['GU8', 'GU7']
    if chipID == 29: gratingID = ['GV6', 'GV5']
    if chipID == 30: gratingID = ['GI8', 'GI7']
    return gratingID

def getChipSLSConf(chipID):
    confFile = ''
    if chipID == 1: confFile = ['CSST_GI2.conf', 'CSST_GI1.conf']
+50 −17
Original line number Diff line number Diff line
@@ -248,10 +248,27 @@ class Galaxy(MockObject):

        xOrderSigPlus = {'A':1.3909419820029296,'B':1.4760376591236062,'C':4.035447379743442,'D':5.5684364343742825,'E':16.260021029735388}
        grating_split_pos_chip = 0 + grating_split_pos

        branges = np.zeros([len(bandpass_list), 2])

        # print(hasattr(psf_model, 'bandranges'))

        if hasattr(psf_model, 'bandranges'):
            if psf_model.bandranges is None:
                return 2, None
            if len(psf_model.bandranges) != len(bandpass_list):
                return 2, None
            branges = psf_model.bandranges
        else:
            for i in range(len(bandpass_list)):
            bandpass = bandpass_list[i]
                branges[i, 0] = bandpass_list[i].blue_limit * 10
                branges[i, 1] = bandpass_list[i].red_limit * 10

            psf, pos_shear = psf_model.get_PSF(chip=chip, pos_img=pos_img, bandpass=bandpass, folding_threshold=folding_threshold)
        for i in range(len(bandpass_list)):
            # bandpass = bandpass_list[i]
            brange = branges[i]

            # psf, pos_shear = psf_model.get_PSF(chip=chip, pos_img=pos_img, bandpass=bandpass, folding_threshold=folding_threshold)
            disk = galsim.Sersic(n=self.disk_sersic_idx, half_light_radius=self.hlr_disk, flux=1.0, gsparams=gsp)
            disk_shape = galsim.Shear(g1=self.e1_disk, g2=self.e2_disk)
            disk = disk.shear(disk_shape)
@@ -272,14 +289,14 @@ class Galaxy(MockObject):
                g2 += fd_shear.g2
            gal_shear = galsim.Shear(g1=g1, g2=g2)
            gal = gal.shear(gal_shear)
            gal = galsim.Convolve(psf, gal)
            # gal = galsim.Convolve(psf, gal)

            if not big_galaxy: # Not apply PSF for very big galaxy
                gal = galsim.Convolve(psf, gal)
                # if fd_shear is not None:
                #     gal = gal.shear(fd_shear)
            # if not big_galaxy: # Not apply PSF for very big galaxy
            #     gal = galsim.Convolve(psf, gal)
            #     # if fd_shear is not None:
            #     #     gal = gal.shear(fd_shear)

            starImg = gal.drawImage(wcs=chip_wcs_local, offset=offset)
            starImg = gal.drawImage(wcs=chip_wcs_local, offset=offset,method = 'real_space')

            origin_star = [y_nominal - (starImg.center.y - starImg.ymin),
                           x_nominal - (starImg.center.x - starImg.xmin)]
@@ -301,12 +318,16 @@ class Galaxy(MockObject):
                sdp_p1 = SpecDisperser(orig_img=star_p1, xcenter=xcenter_p1,
                                    ycenter=ycenter_p1, origin=origin_p1,
                                    tar_spec=normalSED,
                                    band_start=bandpass.blue_limit * 10, band_end=bandpass.red_limit * 10,
                                    band_start=brange[0], band_end=brange[1],
                                    conf=chip.sls_conf[0],
                                    isAlongY=0,
                                    flat_cube=flat_cube)

                self.addSLStoChipImage(sdp=sdp_p1, chip=chip, xOrderSigPlus = xOrderSigPlus, local_wcs=chip_wcs_local)
                # self.addSLStoChipImage(sdp=sdp_p1, chip=chip, xOrderSigPlus = xOrderSigPlus, local_wcs=chip_wcs_local)
                pos_shear = self.addSLStoChipImageWithPSF(sdp=sdp_p1, chip=chip, pos_img_local=[xcenter_p1, ycenter_p1],
                                                          psf_model=psf_model, bandNo=i + 1,
                                                          grating_split_pos=grating_split_pos,
                                                          local_wcs=chip_wcs_local)

                subImg_p2 = starImg.array[:, subSlitPos+1:starImg.array.shape[1]]
                star_p2 = galsim.Image(subImg_p2)
@@ -318,12 +339,16 @@ class Galaxy(MockObject):
                sdp_p2 = SpecDisperser(orig_img=star_p2, xcenter=xcenter_p2,
                                       ycenter=ycenter_p2, origin=origin_p2,
                                       tar_spec=normalSED,
                                       band_start=bandpass.blue_limit * 10, band_end=bandpass.red_limit * 10,
                                       band_start=brange[0], band_end=brange[1],
                                       conf=chip.sls_conf[1],
                                       isAlongY=0,
                                       flat_cube=flat_cube)

                self.addSLStoChipImage(sdp=sdp_p2, chip=chip, xOrderSigPlus = xOrderSigPlus, local_wcs=chip_wcs_local)
                # self.addSLStoChipImage(sdp=sdp_p2, chip=chip, xOrderSigPlus = xOrderSigPlus, local_wcs=chip_wcs_local)
                pos_shear = self.addSLStoChipImageWithPSF(sdp=sdp_p2, chip=chip, pos_img_local=[xcenter_p2, ycenter_p2],
                                                          psf_model=psf_model, bandNo=i + 1,
                                                          grating_split_pos=grating_split_pos,
                                                          local_wcs=chip_wcs_local)

                del sdp_p1
                del sdp_p2
@@ -331,25 +356,33 @@ class Galaxy(MockObject):
                sdp = SpecDisperser(orig_img=starImg, xcenter=x_nominal - 0,
                                    ycenter=y_nominal - 0, origin=origin_star,
                                    tar_spec=normalSED,
                                    band_start=bandpass.blue_limit * 10, band_end=bandpass.red_limit * 10,
                                    band_start=brange[0], band_end=brange[1],
                                    conf=chip.sls_conf[1],
                                    isAlongY=0,
                                    flat_cube=flat_cube)
                self.addSLStoChipImage(sdp=sdp, chip=chip, xOrderSigPlus = xOrderSigPlus, local_wcs=chip_wcs_local)
                # self.addSLStoChipImage(sdp=sdp, chip=chip, xOrderSigPlus = xOrderSigPlus, local_wcs=chip_wcs_local)
                pos_shear = self.addSLStoChipImageWithPSF(sdp=sdp, chip=chip, pos_img_local=[x_nominal, y_nominal],
                                                          psf_model=psf_model, bandNo=i + 1,
                                                          grating_split_pos=grating_split_pos,
                                                          local_wcs=chip_wcs_local)
                del sdp
            elif grating_split_pos_chip>=gal_end[1]:
                sdp = SpecDisperser(orig_img=starImg, xcenter=x_nominal - 0,
                                    ycenter=y_nominal - 0, origin=origin_star,
                                    tar_spec=normalSED,
                                    band_start=bandpass.blue_limit * 10, band_end=bandpass.red_limit * 10,
                                    band_start=brange[0], band_end=brange[1],
                                    conf=chip.sls_conf[0],
                                    isAlongY=0,
                                    flat_cube=flat_cube)
                self.addSLStoChipImage(sdp=sdp, chip=chip, xOrderSigPlus = xOrderSigPlus, local_wcs=chip_wcs_local)
                # self.addSLStoChipImage(sdp=sdp, chip=chip, xOrderSigPlus = xOrderSigPlus, local_wcs=chip_wcs_local)
                pos_shear = self.addSLStoChipImageWithPSF(sdp=sdp, chip=chip, pos_img_local=[x_nominal, y_nominal],
                                                          psf_model=psf_model, bandNo=i + 1,
                                                          grating_split_pos=grating_split_pos,
                                                          local_wcs=chip_wcs_local)
                del sdp

            # print(self.y_nominal, starImg.center.y, starImg.ymin)
            del psf
            # del psf
        return 1, pos_shear

    def getGSObj(self, psf, g1=0, g2=0, flux=None, filt=None, tel=None, exptime=150.):
+105 −17
Original line number Diff line number Diff line
@@ -4,7 +4,7 @@ import astropy.constants as cons
from astropy import wcs
from astropy.table import Table

from ObservationSim.MockObject._util import magToFlux, VC_A, convolveGaussXorders
from ObservationSim.MockObject._util import magToFlux, VC_A, convolveGaussXorders, convolveImg
from ObservationSim.MockObject._util import integrate_sed_bandpass, getNormFactorForSpecWithABMAG, getObservedSED, \
    getABMAG
from ObservationSim.MockObject.SpecDisperser import SpecDisperser
@@ -222,9 +222,69 @@ class MockObject(object):
            del stamp
        del spec_orders

    def addSLStoChipImageWithPSF(self, sdp=None, chip=None, pos_img_local = [1,1], psf_model=None, bandNo = 1, grating_split_pos=3685, local_wcs=None, pos_img=None):
        spec_orders = sdp.compute_spec_orders()
        for k, v in spec_orders.items():
            img_s = v[0]
            # print(bandNo,k)
            try:
                psf, pos_shear = psf_model.get_PSF(chip, pos_img_local = pos_img_local, bandNo = bandNo, galsimGSObject=True, g_order = k, grating_split_pos=grating_split_pos)
            except:
                psf, pos_shear = psf_model.get_PSF(chip=chip, pos_img=pos_img)

            psf_img = psf.drawImage(nx=100, ny=100, wcs = local_wcs)

            psf_img_m = psf_img.array

            #########################################################
            # DEBUG
            #########################################################
            # ids_p = psf_img_m < 0
            # psf_img_m[ids_p] = 0

            # from astropy.io import fits
            # fits.writeto(str(bandNo) + '_' + str(k) + '_psf.fits', psf_img_m)

            # print("DEBUG: orig_off is", orig_off)
            nan_ids = np.isnan(img_s)
            if img_s[nan_ids].shape[0] > 0:
                img_s[nan_ids] = 0
                print("DEBUG: specImg nan num is", img_s[nan_ids].shape[0])
            #########################################################
            img_s, orig_off = convolveImg(img_s, psf_img_m)
            origin_order_x = v[1] - orig_off[0]
            origin_order_y = v[2] - orig_off[1]


            specImg = galsim.ImageF(img_s)
            # photons = galsim.PhotonArray.makeFromImage(specImg)
            # photons.x += origin_order_x
            # photons.y += origin_order_y

            # xlen_imf = int(specImg.xmax - specImg.xmin + 1)
            # ylen_imf = int(specImg.ymax - specImg.ymin + 1)
            # stamp = galsim.ImageF(xlen_imf, ylen_imf)
            # stamp.wcs = local_wcs
            # stamp.setOrigin(origin_order_x, origin_order_y)

            specImg.wcs = local_wcs
            specImg.setOrigin(origin_order_x, origin_order_y)

            bounds = specImg.bounds & galsim.BoundsI(0, chip.npix_x - 1, 0, chip.npix_y - 1)
            if bounds.area() == 0:
                continue
            chip.img.setOrigin(0, 0)
            chip.img[bounds] = chip.img[bounds] + specImg[bounds]
            # stamp[bounds] = chip.img[bounds]
            # # chip.sensor.accumulate(photons, stamp)
            # chip.img[bounds] = stamp[bounds]
            chip.img.setOrigin(chip.bound.xmin, chip.bound.ymin)
            # del stamp
        del spec_orders
        return pos_shear

    def drawObj_slitless(self, tel, pos_img, psf_model, bandpass_list, filt, chip, nphotons_tot=None, g1=0, g2=0,
                         exptime=150., normFilter=None, grating_split_pos=3685, fd_shear=None):

        if normFilter is not None:
            norm_thr_rang_ids = normFilter['SENSITIVITY'] > 0.001
            sedNormFactor = getNormFactorForSpecWithABMAG(ABMag=self.param['mag_use_normal'], spectrum=self.sed,
@@ -262,22 +322,38 @@ class MockObject(object):
        xOrderSigPlus = {'A': 1.3909419820029296, 'B': 1.4760376591236062, 'C': 4.035447379743442,
                         'D': 5.5684364343742825, 'E': 16.260021029735388}
        grating_split_pos_chip = 0 + grating_split_pos

        branges = np.zeros([len(bandpass_list),2])

        if hasattr(psf_model,'bandranges'):
            if psf_model.bandranges is None:
                return 2, None
            if len(psf_model.bandranges) != len(bandpass_list):
                return 2, None
            branges = psf_model.bandranges
        else:
            for i in range(len(bandpass_list)):
            bandpass = bandpass_list[i]
            psf, pos_shear = psf_model.get_PSF(chip=chip, pos_img=pos_img, bandpass=bandpass,
                                               folding_threshold=folding_threshold)
                branges[i, 0] = bandpass_list[i].blue_limit * 10
                branges[i, 1] = bandpass_list[i].red_limit * 10

        for i in range(len(bandpass_list)):
            # bandpass = bandpass_list[i]
            brange = branges[i]

            # psf, pos_shear = psf_model.get_PSF(chip=chip, pos_img=pos_img, bandpass=bandpass,
            #                                    folding_threshold=folding_threshold)
            star = galsim.DeltaFunction(gsparams=gsp)
            star = star.withFlux(tel.pupil_area * exptime)
            star = galsim.Convolve(psf, star)
            psf_tmp = galsim.Gaussian(sigma=0.002)
            star = galsim.Convolve(psf_tmp, star)
            
            starImg = star.drawImage(nx=100, ny=100, wcs=chip_wcs_local, offset=offset)
            starImg = star.drawImage(nx=60, ny=60, wcs=chip_wcs_local, offset=offset)

            origin_star = [y_nominal - (starImg.center.y - starImg.ymin),
                           x_nominal - (starImg.center.x - starImg.xmin)]
            starImg.setOrigin(0,0)
            gal_origin = [origin_star[0], origin_star[1]]
            gal_end = [origin_star[0] + starImg.array.shape[0] - 1, origin_star[1] + starImg.array.shape[1] - 1]

            if gal_origin[1] < grating_split_pos_chip < gal_end[1]:
                subSlitPos = int(grating_split_pos_chip - gal_origin[1] + 1)
                ## part img disperse
@@ -292,12 +368,15 @@ class MockObject(object):
                sdp_p1 = SpecDisperser(orig_img=star_p1, xcenter=xcenter_p1,
                                       ycenter=ycenter_p1, origin=origin_p1,
                                       tar_spec=normalSED,
                                       band_start=bandpass.blue_limit * 10, band_end=bandpass.red_limit * 10,
                                       band_start=brange[0], band_end=brange[1],
                                       conf=chip.sls_conf[0],
                                       isAlongY=0,
                                       flat_cube=flat_cube)

                self.addSLStoChipImage(sdp=sdp_p1, chip=chip, xOrderSigPlus=xOrderSigPlus, local_wcs=chip_wcs_local)
                # self.addSLStoChipImage(sdp=sdp_p1, chip=chip, xOrderSigPlus=xOrderSigPlus, local_wcs=chip_wcs_local)
                pos_shear=self.addSLStoChipImageWithPSF(sdp=sdp_p1, chip=chip, pos_img_local = [xcenter_p1,ycenter_p1],
                                              psf_model=psf_model, bandNo = i+1, grating_split_pos=grating_split_pos,
                                              local_wcs=chip_wcs_local, pos_img = pos_img)

                subImg_p2 = starImg.array[:, subSlitPos + 1:starImg.array.shape[1]]
                star_p2 = galsim.Image(subImg_p2)
@@ -309,12 +388,15 @@ class MockObject(object):
                sdp_p2 = SpecDisperser(orig_img=star_p2, xcenter=xcenter_p2,
                                       ycenter=ycenter_p2, origin=origin_p2,
                                       tar_spec=normalSED,
                                       band_start=bandpass.blue_limit * 10, band_end=bandpass.red_limit * 10,
                                       band_start=brange[0], band_end=brange[1],
                                       conf=chip.sls_conf[1],
                                       isAlongY=0,
                                       flat_cube=flat_cube)

                self.addSLStoChipImage(sdp=sdp_p2, chip=chip, xOrderSigPlus=xOrderSigPlus, local_wcs=chip_wcs_local)
                # self.addSLStoChipImage(sdp=sdp_p2, chip=chip, xOrderSigPlus=xOrderSigPlus, local_wcs=chip_wcs_local)
                pos_shear=self.addSLStoChipImageWithPSF(sdp=sdp_p2, chip=chip, pos_img_local=[xcenter_p2, ycenter_p2],
                                              psf_model=psf_model, bandNo=i + 1, grating_split_pos=grating_split_pos,
                                              local_wcs=chip_wcs_local, pos_img = pos_img)

                del sdp_p1
                del sdp_p2
@@ -322,23 +404,29 @@ class MockObject(object):
                sdp = SpecDisperser(orig_img=starImg, xcenter=x_nominal - 0,
                                    ycenter=y_nominal - 0, origin=origin_star,
                                    tar_spec=normalSED,
                                    band_start=bandpass.blue_limit * 10, band_end=bandpass.red_limit * 10,
                                    band_start=brange[0], band_end=brange[1],
                                    conf=chip.sls_conf[1],
                                    isAlongY=0,
                                    flat_cube=flat_cube)
                self.addSLStoChipImage(sdp=sdp, chip=chip, xOrderSigPlus=xOrderSigPlus, local_wcs=chip_wcs_local)
                # self.addSLStoChipImage(sdp=sdp, chip=chip, xOrderSigPlus=xOrderSigPlus, local_wcs=chip_wcs_local)
                pos_shear=self.addSLStoChipImageWithPSF(sdp=sdp, chip=chip, pos_img_local=[x_nominal, y_nominal],
                                              psf_model=psf_model, bandNo=i + 1, grating_split_pos=grating_split_pos,
                                              local_wcs=chip_wcs_local, pos_img = pos_img)
                del sdp
            elif grating_split_pos_chip >= gal_end[1]:
                sdp = SpecDisperser(orig_img=starImg, xcenter=x_nominal - 0,
                                    ycenter=y_nominal - 0, origin=origin_star,
                                    tar_spec=normalSED,
                                    band_start=bandpass.blue_limit * 10, band_end=bandpass.red_limit * 10,
                                    band_start=brange[0], band_end=brange[1],
                                    conf=chip.sls_conf[0],
                                    isAlongY=0,
                                    flat_cube=flat_cube)
                self.addSLStoChipImage(sdp=sdp, chip=chip, xOrderSigPlus=xOrderSigPlus, local_wcs=chip_wcs_local)
                # self.addSLStoChipImage(sdp=sdp, chip=chip, xOrderSigPlus=xOrderSigPlus, local_wcs=chip_wcs_local)
                pos_shear=self.addSLStoChipImageWithPSF(sdp=sdp, chip=chip, pos_img_local=[x_nominal, y_nominal],
                                              psf_model=psf_model, bandNo=i + 1, grating_split_pos=grating_split_pos,
                                              local_wcs=chip_wcs_local, pos_img = pos_img)
                del sdp
            del psf
            # del psf
        return 1, pos_shear

    def SNRestimate(self, img_obj, flux, noise_level=0.0, seed=31415):
+1 −1
Original line number Diff line number Diff line
@@ -155,7 +155,7 @@ class SpecDisperser(object):
        sensitivity_beam = ysens

        len_spec_x = len(dx)
        len_spec_y = int(ceil(ytrace_beam[-1]) - floor(ytrace_beam[0]) + 1)
        len_spec_y = int(abs(ceil(ytrace_beam[-1]) - floor(ytrace_beam[0])) + 1)

        beam_sh = (self.img_sh[0] + len_spec_y, self.img_sh[1] + len_spec_x)
        modelf = zeros(product(beam_sh), dtype=float)
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