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SkybackgroundMap.py 11.28 KiB
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from ObservationSim.MockObject.SpecDisperser import SpecDisperser
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from ObservationSim.MockObject.SpecDisperser import rotate90
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import galsim
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import numpy as np
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from astropy.table import Table
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from scipy import interpolate
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import galsim
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import astropy.constants as cons
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import os
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import time
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try:
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    import importlib.resources as pkg_resources
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except ImportError:
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    # Try backported to PY<37 'importlib_resources'
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    import importlib_resources as pkg_resources
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###calculate sky map by sky SED
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def calculateSkyMap_split_g(skyMap=None, blueLimit=4200, redLimit=6500, skyfn='sky_emiss_hubble_50_50_A.dat', conf=[''], pixelSize=0.074, isAlongY=0,
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                            split_pos=3685, flat_cube = None, zoldial_spec = None):
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    # skyMap = np.ones([yLen, xLen], dtype='float32')
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    #
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    # if isAlongY == 1:
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    #     skyMap = np.ones([xLen, yLen], dtype='float32')
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    # for i in range(len(conf)):
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    #     conf[i] = os.path.join(SLSSIM_PATH, conf[i])
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    conf1 = conf[0]
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    conf2 = conf[0]
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    if np.size(conf) == 2:
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        conf2 = conf[1]
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    skyImg = galsim.Image(skyMap, xmin=0, ymin=0)
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    tbstart = blueLimit
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    tbend = redLimit
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    fimg = np.zeros_like(skyMap)
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    fImg = galsim.Image(fimg)
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    try:
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        with pkg_resources.files('ObservationSim.Straylight.data.sky').joinpath(skyfn) as data_path:
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            skySpec = np.loadtxt(data_path)
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    except AttributeError:
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        with pkg_resources.path('ObservationSim.Straylight.data.sky', skyfn) as data_path:
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            skySpec = np.loadtxt(data_path)
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    # skySpec = np.loadtxt(skyfn)
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    spec = Table(np.array([skySpec[:, 0], skySpec[:, 1]]).T, names=('WAVELENGTH', 'FLUX'))
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    if zoldial_spec is not None:
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        deltL = 0.5
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        lamb = np.arange(2000, 11000, deltL)
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        speci = interpolate.interp1d(zoldial_spec['WAVELENGTH'], zoldial_spec['FLUX'])
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        y = speci(lamb)
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        # erg/s/cm2/A --> photo/s/m2/A
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        s_flux = y * lamb / (cons.h.value * cons.c.value) * 1e-13
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        spec = Table(np.array([lamb, s_flux]).T, names=('WAVELENGTH', 'FLUX'))
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    if isAlongY == 0:
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        directParm = 0
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    if isAlongY ==1:
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        directParm = 1
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if split_pos >= skyImg.array.shape[directParm]: skyImg1 = galsim.Image(skyImg.array) origin1 = [0, 0] # sdp = specDisperser.specDisperser(orig_img=skyImg1, xcenter=skyImg1.center.x, ycenter=skyImg1.center.y, # full_img=fimg, tar_spec=spec, band_start=tbstart, band_end=tbend, # origin=origin1, # conf=conf1) # sdp.compute_spec_orders() y_len = skyMap.shape[0] x_len = skyMap.shape[1] delt_x = 100 delt_y = 100 sub_y_start_arr = np.arange(0, y_len, delt_y) sub_y_end_arr = sub_y_start_arr + delt_y sub_y_end_arr[-1] = min(sub_y_end_arr[-1], y_len) sub_x_start_arr = np.arange(0, x_len, delt_x) sub_x_end_arr = sub_x_start_arr + delt_x sub_x_end_arr[-1] = min(sub_x_end_arr[-1], x_len) for i,k1 in enumerate(sub_y_start_arr): sub_y_s = k1 sub_y_e = sub_y_end_arr[i] sub_y_center = (sub_y_s+sub_y_e)/2. for j,k2 in enumerate(sub_x_start_arr): sub_x_s = k2 sub_x_e = sub_x_end_arr[j] skyImg_sub = galsim.Image(skyImg.array[sub_y_s:sub_y_e, sub_x_s:sub_x_e]) origin_sub = [sub_y_s, sub_x_s] sub_x_center = (sub_x_s + sub_x_e) / 2. sdp = SpecDisperser(orig_img=skyImg_sub, xcenter=sub_x_center, ycenter=sub_y_center, origin=origin_sub, tar_spec=spec, band_start=tbstart, band_end=tbend, conf=conf2, flat_cube=flat_cube, ignoreBeam=['D','E']) spec_orders = sdp.compute_spec_orders() for k, v in spec_orders.items(): img_s = v[0] origin_order_x = v[1] origin_order_y = v[2] ssImg = galsim.ImageF(img_s) ssImg.setOrigin(origin_order_x, origin_order_y) bounds = ssImg.bounds & fImg.bounds if bounds.area() == 0: continue fImg[bounds] = fImg[bounds] + ssImg[bounds] # sdp = SpecDisperser(orig_img=skyImg1, xcenter=skyImg1.center.x, ycenter=skyImg1.center.y, origin=origin1, # tar_spec=spec, # band_start=tbstart, band_end=tbend, # conf=conf2, # flat_cube=flat_cube, ignoreBeam=['D','E']) # # spec_orders = sdp.compute_spec_orders() # # for k, v in spec_orders.items(): # img_s = v[0] # origin_order_x = v[1] # origin_order_y = v[2] # ssImg = galsim.ImageF(img_s) # ssImg.setOrigin(origin_order_x, origin_order_y) # bounds = ssImg.bounds & fImg.bounds
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# if bounds.area() == 0: # continue # fImg[bounds] = fImg[bounds] + ssImg[bounds] else: # skyImg1 = galsim.Image(skyImg.array[:, 0:split_pos]) # origin1 = [0, 0] # skyImg2 = galsim.Image(skyImg.array[:, split_pos:]) # origin2 = [0, split_pos] # sdp = specDisperser.specDisperser(orig_img=skyImg1, xcenter=skyImg1.center.x, ycenter=skyImg1.center.y, # full_img=fimg, tar_spec=spec, band_start=tbstart, band_end=tbend, # origin=origin1, # conf=conf1) # sdp.compute_spec_orders() y_len = skyMap.shape[0] x_len = skyMap.shape[1] delt_x = 500 delt_y = y_len sub_y_start_arr = np.arange(0, y_len, delt_y) sub_y_end_arr = sub_y_start_arr + delt_y sub_y_end_arr[-1] = min(sub_y_end_arr[-1], y_len) delt_x = split_pos-0 sub_x_start_arr = np.arange(0, split_pos, delt_x) sub_x_end_arr = sub_x_start_arr + delt_x sub_x_end_arr[-1] = min(sub_x_end_arr[-1], split_pos) for i,k1 in enumerate(sub_y_start_arr): sub_y_s = k1 sub_y_e = sub_y_end_arr[i] sub_y_center = (sub_y_s+sub_y_e)/2. for j,k2 in enumerate(sub_x_start_arr): sub_x_s = k2 sub_x_e = sub_x_end_arr[j] # print(i,j,sub_y_s, sub_y_e,sub_x_s,sub_x_e) T1 = time.time() skyImg_sub = galsim.Image(skyImg.array[sub_y_s:sub_y_e, sub_x_s:sub_x_e]) origin_sub = [sub_y_s, sub_x_s] sub_x_center = (sub_x_s + sub_x_e) / 2. sdp = SpecDisperser(orig_img=skyImg_sub, xcenter=sub_x_center, ycenter=sub_y_center, origin=origin_sub, tar_spec=spec, band_start=tbstart, band_end=tbend, conf=conf1, flat_cube=flat_cube) spec_orders = sdp.compute_spec_orders() for k, v in spec_orders.items(): img_s = v[0] origin_order_x = v[1] origin_order_y = v[2] ssImg = galsim.ImageF(img_s) ssImg.setOrigin(origin_order_x, origin_order_y) bounds = ssImg.bounds & fImg.bounds if bounds.area() == 0: continue fImg[bounds] = fImg[bounds] + ssImg[bounds] T2 = time.time() print('time: %s ms'% ((T2 - T1)*1000))
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delt_x = x_len-split_pos sub_x_start_arr = np.arange(split_pos, x_len, delt_x) sub_x_end_arr = sub_x_start_arr + delt_x sub_x_end_arr[-1] = min(sub_x_end_arr[-1], x_len) for i, k1 in enumerate(sub_y_start_arr): sub_y_s = k1 sub_y_e = sub_y_end_arr[i] sub_y_center = (sub_y_s + sub_y_e) / 2. for j, k2 in enumerate(sub_x_start_arr): sub_x_s = k2 sub_x_e = sub_x_end_arr[j] # print(i,j,sub_y_s, sub_y_e,sub_x_s,sub_x_e) T1 = time.time() skyImg_sub = galsim.Image(skyImg.array[sub_y_s:sub_y_e, sub_x_s:sub_x_e]) origin_sub = [sub_y_s, sub_x_s] sub_x_center = (sub_x_s + sub_x_e) / 2. sdp = SpecDisperser(orig_img=skyImg_sub, xcenter=sub_x_center, ycenter=sub_y_center, origin=origin_sub, tar_spec=spec, band_start=tbstart, band_end=tbend, conf=conf2, flat_cube=flat_cube) spec_orders = sdp.compute_spec_orders() for k, v in spec_orders.items(): img_s = v[0] origin_order_x = v[1] origin_order_y = v[2] ssImg = galsim.ImageF(img_s) ssImg.setOrigin(origin_order_x, origin_order_y) bounds = ssImg.bounds & fImg.bounds if bounds.area() == 0: continue fImg[bounds] = fImg[bounds] + ssImg[bounds] T2 = time.time() print('time: %s ms'% ((T2 - T1)*1000)) if isAlongY == 1: fimg, tmx, tmy = rotate90(array_orig=fImg.array, xc=0, yc=0, isClockwise=0) else: fimg = fImg.array fimg = fimg * pixelSize * pixelSize return fimg def calculateSkyMap(xLen=9232, yLen=9126, blueLimit=4200, redLimit=6500, skyfn='sky_emiss_hubble_50_50_A.dat', conf='', pixelSize=0.074, isAlongY=0): skyMap = np.ones([yLen, xLen], dtype='float32') if isAlongY == 1: skyMap = np.ones([xLen, yLen], dtype='float32') skyImg = galsim.Image(skyMap) tbstart = blueLimit tbend = redLimit fimg = np.zeros_like(skyMap) fImg = galsim.Image(fimg) try: with pkg_resources.files('ObservationSim.Straylight.data.sky').joinpath(skyfn) as data_path:
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skySpec = np.loadtxt(data_path) except AttributeError: with pkg_resources.path('ObservationSim.Straylight.data.sky', skyfn) as data_path: skySpec = np.loadtxt(data_path) # skySpec = np.loadtxt(skyfn) spec = Table(np.array([skySpec[:, 0], skySpec[:, 1]]).T, names=('WAVELENGTH', 'FLUX')) sdp = SpecDisperser(orig_img=skyImg, xcenter=skyImg.center.x, ycenter=skyImg.center.y, origin=[1, 1], tar_spec=spec, band_start=tbstart, band_end=tbend, conf=conf) spec_orders = sdp.compute_spec_orders() for k, v in spec_orders.items(): img_s = v[0] origin_order_x = v[1] origin_order_y = v[2] ssImg = galsim.ImageF(img_s) ssImg.setOrigin(origin_order_x, origin_order_y) bounds = ssImg.bounds & fImg.bounds fImg[bounds] = fImg[bounds] + ssImg[bounds] if isAlongY == 1: fimg, tmx, tmy = rotate90(array_orig=fImg.array, xc=0, yc=0, isClockwise=0) else: fimg = fImg.array fimg = fimg * pixelSize * pixelSize return fimg