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import galsim
import numpy as np
import astropy.constants as cons
from astropy.table import Table
from ._util import magToFlux, vc_A
from ._util import integrate_sed_bandpass, getNormFactorForSpecWithABMAG, getObservedSED, getABMAG
from .SpecDisperser import SpecDisperser
class MockObject(object):
def __init__(self, param):
self.param = param
if self.param["star"] == 0:
self.type = "galaxy"
elif self.param["star"] == 1:
self.type = "star"
elif self.param["star"] == 2:
self.type = "quasar"
self.id = self.param["id"]
self.ra = self.param["ra"]
self.dec = self.param["dec"]
self.z = self.param["z"]
self.sed_type = self.param["sed_type"]
self.model_tag = self.param["model_tag"]
self.mag_use_normal = self.param["mag_use_normal"]
def getMagFilter(self, filt):
if filt.filter_type in ["GI", "GV", "GU"]:
return self.param["mag_use_normal"]
return self.param["mag_%s"%filt.filter_type]
# (TEST) stamp size
# return 13.0
def getNumPhotons(self, flux, tel, exptime=150.):
pupil_area = tel.pupil_area * (100.)**2 # m^2 to cm^2
return flux * pupil_area * exptime
def getElectronFluxFilt(self, filt, tel, exptime=150.):
photonEnergy = filt.getPhotonE()
flux = magToFlux(self.getMagFilter(filt))
factor = 1.0e4 * flux/photonEnergy * vc_A * (1.0/filt.blue_limit - 1.0/filt.red_limit)
return factor * filt.efficiency * tel.pupil_area * exptime
def getPosWorld(self):
ra = self.param["ra"]
dec = self.param["dec"]
return galsim.CelestialCoord(ra=ra*galsim.degrees,dec=dec*galsim.degrees)
def getPosImg_Offset_WCS(self, img, fdmodel=None, chip=None, verbose=True):
self.posImg = img.wcs.toImage(self.getPosWorld())
self.localWCS = img.wcs.local(self.posImg)
if (fdmodel is not None) and (chip is not None):
if verbose:
print("\n")
print("Before field distortion:\n")
print("x = %.2f, y = %.2f\n"%(self.posImg.x, self.posImg.y), flush=True)
self.posImg = fdmodel.get_Distorted(chip=chip, pos_img=self.posImg)
if verbose:
print("After field distortion:\n")
print("x = %.2f, y = %.2f\n"%(self.posImg.x, self.posImg.y), flush=True)
x, y = self.posImg.x + 0.5, self.posImg.y + 0.5
self.x_nominal = int(np.floor(x + 0.5))
self.y_nominal = int(np.floor(y + 0.5))
dx = x - self.x_nominal
dy = y - self.y_nominal
self.offset = galsim.PositionD(dx, dy)
return self.posImg, self.offset, self.localWCS
def drawObject(self, img, final, flux=None, filt=None, tel=None, exptime=150.):
""" Draw (point like) object on img.
Should be overided for extended source, e.g. galaxy...
Paramter:
img: the "canvas"
final: final (after shear, PSF etc.) GSObject
Return:
img: the image with the GSObject added (or discarded)
isUpdated: is the "canvas" been updated? (a flag for updating statistcs)
"""
isUpdated = True
# Draw with FFT
# stamp = final.drawImage(wcs=self.localWCS, offset=self.offset)
# Draw with Photon Shoot
stamp = final.drawImage(wcs=self.localWCS, method='phot', offset=self.offset)
stamp.setCenter(self.x_nominal, self.y_nominal)
if np.sum(np.isnan(stamp.array)) >= 1:
stamp.setZero()
bounds = stamp.bounds & img.bounds
if bounds.area() == 0:
isUpdated = False
else:
img[bounds] += stamp[bounds]
return img, stamp, isUpdated
def drawObj_multiband(self, tel, pos_img, psf_model, bandpass_list, filt, chip, nphotons_tot=None, g1=0, g2=0, exptime=150.):
if nphotons_tot == None:
nphotons_tot = self.getElectronFluxFilt(filt, tel, exptime)
# print("nphotons_tot = ", nphotons_tot)
try:
full = integrate_sed_bandpass(sed=self.sed, bandpass=filt.bandpass_full)
except Exception as e:
print(e)
return False
nphotons_sum = 0
photons_list = []
xmax, ymax = 0, 0
# (TEST) Galsim Parameters
if self.getMagFilter(filt) <= 15:
folding_threshold = 5.e-4
else:
folding_threshold = 5.e-3
gsp = galsim.GSParams(folding_threshold=folding_threshold)
for i in range(len(bandpass_list)):
bandpass = bandpass_list[i]
try:
sub = integrate_sed_bandpass(sed=self.sed, bandpass=bandpass)
except Exception as e:
print(e)
# return False
continue
ratio = sub/full
if not (ratio == -1 or (ratio != ratio)):
nphotons = ratio * nphotons_tot
else:
# return False
continue
nphotons_sum += nphotons
# print("nphotons_sub-band_%d = %.2f"%(i, nphotons))
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(nphotons)
star = galsim.Convolve(psf, star)
stamp = star.drawImage(wcs=self.localWCS, method='phot', offset=self.offset, save_photons=True)
xmax = max(xmax, stamp.xmax)
ymax = max(ymax, stamp.ymax)
photons = stamp.photons
photons.x += self.x_nominal
photons.y += self.y_nominal
photons_list.append(photons)
# Test stamp size
# print(xmax, ymax)
stamp = galsim.ImageF(int(xmax*1.1), int(ymax*1.1))
stamp.wcs = self.localWCS
stamp.setCenter(self.x_nominal, self.y_nominal)
bounds = stamp.bounds & chip.img.bounds
stamp[bounds] = chip.img[bounds]
for i in range(len(photons_list)):
if i == 0:
chip.sensor.accumulate(photons_list[i], stamp)
else:
chip.sensor.accumulate(photons_list[i], stamp, resume=True)
chip.img[bounds] = stamp[bounds]
# print(chip.img.array.sum())
# print("nphotons_sum = ", nphotons_sum)
del photons_list
del stamp
return True, 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):
norm_thr_rang_ids = normFilter['SENSITIVITY'] > 0.001
sedNormFactor = getNormFactorForSpecWithABMAG(ABMag=self.param['mag_use_normal'], spectrum=self.sed,
norm_thr=normFilter,
sWave=np.floor(normFilter[norm_thr_rang_ids][0][0]),
eWave=np.ceil(normFilter[norm_thr_rang_ids][-1][0]))
# print(self.x_nominal, self.y_nominal, chip.bound)
if sedNormFactor == 0:
return False
if self.getMagFilter(filt) <= 15:
folding_threshold = 5.e-4
else:
folding_threshold = 5.e-3
gsp = galsim.GSParams(folding_threshold=folding_threshold)
normalSED = Table(np.array([self.sed['WAVELENGTH'], self.sed['FLUX'] * sedNormFactor]).T,
names=('WAVELENGTH', 'FLUX'))
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)
star = galsim.DeltaFunction(gsparams=gsp)
star = star.withFlux(tel.pupil_area * exptime)
star = galsim.Convolve(psf, star)
starImg = star.drawImage(nx=100, ny=100, wcs=self.localWCS)
origin_star = [self.y_nominal - (starImg.center.y - starImg.ymin),
self.x_nominal - (starImg.center.x - starImg.xmin)]
sdp = SpecDisperser(orig_img=starImg, xcenter=self.x_nominal-chip.bound.xmin,
ycenter=self.y_nominal-chip.bound.ymin, origin=origin_star,
tar_spec=normalSED,
band_start=bandpass.blue_limit * 10, band_end=bandpass.red_limit * 10,
conf=chip.sls_conf[1],
isAlongY=0)
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]
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 = self.localWCS
stamp.setOrigin(origin_order_x, origin_order_y)
bounds = stamp.bounds & chip.img.bounds
if bounds.area() == 0:
continue
stamp[bounds] = chip.img[bounds]
chip.sensor.accumulate(photons, stamp)
chip.img[bounds] = stamp[bounds]
del stamp
del sdp
del spec_orders
del psf
return True, pos_shear
def SNRestimate(self, img_obj, flux, noise_level=0.0, seed=31415):
img_flux = img_obj.added_flux
stamp = img_obj.copy() * 0.0
rng = galsim.BaseDeviate(seed)
gaussianNoise = galsim.GaussianNoise(rng, sigma=noise_level)
stamp.addNoise(gaussianNoise)
sig_obj = np.std(stamp.array)
snr_obj = img_flux / sig_obj
return snr_obj
def getObservedEll(self, g1=0, g2=0):
return 0.0, 0.0, 0.0, 0.0, 0.0, 0.0