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from ObservationSim.MockObject.SpecDisperser import SpecDisperser
from ObservationSim.MockObject.SpecDisperser import rotate90
import galsim
import numpy as np
from astropy.table import Table
from scipy import interpolate
import galsim
import os
try:
import importlib.resources as pkg_resources
except ImportError:
# Try backported to PY<37 'importlib_resources'
import importlib_resources as pkg_resources
def calculateSkyMap_split_g(skyMap=None, 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')
# for i in range(len(conf)):
# conf[i] = os.path.join(SLSSIM_PATH, conf[i])
conf1 = conf[0]
conf2 = conf[0]
if np.size(conf) == 2:
conf2 = conf[1]
skyImg = galsim.Image(skyMap, xmin=0, ymin=0)
tbstart = blueLimit
tbend = redLimit
fimg = np.zeros_like(skyMap)
fImg = galsim.Image(fimg)
try:
with pkg_resources.files('ObservationSim.MockObject.data').joinpath(skyfn) as data_path:
skySpec = np.loadtxt(data_path)
except AttributeError:
with pkg_resources.path('ObservationSim.MockObject.data', skyfn) as data_path:
skySpec = np.loadtxt(data_path)
spec = Table(np.array([skySpec[:, 0], skySpec[:, 1]]).T, names=('WAVELENGTH', 'FLUX'))
if isAlongY == 0:
directParm = 0
if isAlongY ==1:
directParm = 1
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()
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)
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
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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:-1])
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()
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=conf1)
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
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fImg[bounds] = fImg[bounds] + ssImg[bounds]
sdp = SpecDisperser(orig_img=skyImg2, xcenter=skyImg2.center.x, ycenter=skyImg2.center.y, origin=origin2,
tar_spec=spec,
band_start=tbstart, band_end=tbend,
conf=conf2)
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
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.MockObject.data').joinpath(skyfn) as data_path:
skySpec = np.loadtxt(data_path)
except AttributeError:
with pkg_resources.path('ObservationSim.MockObject.data', skyfn) as data_path:
skySpec = np.loadtxt(data_path)
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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