def testHalfLightRadiusOfImage(self):
"""
Test that GalSim is generating images of objects with the expected half light radius
by generating images with one object on them and comparing the total flux in the image
with the flux contained within the expected half light radius. Raise an exception
if the deviation is greater than 3-sigma.
"""
scratchDir = os.path.join(getPackageDir('sims_GalSimInterface'),
'tests', 'scratchSpace')
catName = os.path.join(scratchDir, 'hlr_test_Catalog.dat')
imageRoot = os.path.join(scratchDir, 'hlr_test_Image')
dbFileName = os.path.join(scratchDir, 'hlr_test_InputCatalog.dat')
baseDir = os.path.join(getPackageDir('sims_GalSimInterface'), 'tests',
'cameraData')
camera = ReturnCamera(baseDir)
detector = camera[0]
detName = detector.getName()
imageName = '%s_%s_u.fits' % (imageRoot, detName)
obs = ObservationMetaData(pointingRA=75.0,
pointingDec=-12.0,
boundType='circle',
boundLength=4.0,
rotSkyPos=33.0,
mjd=49250.0)
hlrTestList = [1.0, 2.0, 4.0]
for hlr in hlrTestList:
create_text_catalog(obs,
dbFileName,
np.array([3.0]),
np.array([1.0]),
hlr=[hlr])
db = hlrFileDBObj(dbFileName, runtable='test')
cat = hlrCat(db, obs_metadata=obs)
cat.camera = camera
cat.write_catalog(catName)
cat.write_images(nameRoot=imageRoot)
totalFlux, hlrFlux = self.get_flux_in_half_light_radius(
imageName, hlr, detector, camera, obs)
self.assertGreater(totalFlux,
1000.0) # make sure the image is not blank
# divide by gain because Poisson stats apply to photons
sigmaFlux = np.sqrt(0.5 * totalFlux / cat.photParams.gain)
self.assertLess(np.abs(hlrFlux - 0.5 * totalFlux), 4.0 * sigmaFlux)
if os.path.exists(catName):
os.unlink(catName)
if os.path.exists(dbFileName):
os.unlink(dbFileName)
if os.path.exists(imageName):
os.unlink(imageName)
def testFwhmOfImage(self):
"""
Test that GalSim generates images with the expected Full Width at Half Maximum.
"""
scratchDir = tempfile.mkdtemp(dir=ROOT, prefix='testFwhmOfImage-')
catName = os.path.join(scratchDir, 'fwhm_test_Catalog.dat')
imageRoot = os.path.join(scratchDir, 'fwhm_test_Image')
dbFileName = os.path.join(scratchDir, 'fwhm_test_InputCatalog.dat')
baseDir = os.path.join(getPackageDir('sims_GalSimInterface'), 'tests',
'cameraData')
# instantiate a test camera with pixel_scale = 0.02 arcsec/pixel
camera = ReturnCamera(baseDir)
detector = camera[0]
detName = detector.getName()
imageName = '%s_%s_u.fits' % (imageRoot, detName)
obs = ObservationMetaData(pointingRA=75.0,
pointingDec=-12.0,
boundType='circle',
boundLength=4.0,
rotSkyPos=33.0,
mjd=49250.0)
create_text_catalog(obs,
dbFileName,
np.array([3.0]),
np.array([1.0]),
mag_norm=[13.0])
db = fwhmFileDBObj(dbFileName, runtable='test')
for fwhm in (0.1, 0.14):
cat = fwhmCat(db, obs_metadata=obs)
cat.camera_wrapper = GalSimCameraWrapper(camera)
psf = SNRdocumentPSF(fwhm=fwhm, pixel_scale=0.02)
cat.setPSF(psf)
cat.write_catalog(catName)
cat.write_images(nameRoot=imageRoot)
self.verify_fwhm(imageName, fwhm, 0.02)
if os.path.exists(catName):
os.unlink(catName)
if os.path.exists(imageName):
os.unlink(imageName)
if os.path.exists(dbFileName):
os.unlink(dbFileName)
if os.path.exists(scratchDir):
shutil.rmtree(scratchDir)
def setUpClass(cls):
cls.scratchDir = os.path.join(getPackageDir('sims_GalSimInterface'), 'tests', 'scratchSpace')
cls.obs = ObservationMetaData(pointingRA=122.0, pointingDec=-29.1,
mjd=57381.2, rotSkyPos=43.2)
cls.camera = camTestUtils.CameraWrapper().camera
cls.dbFileName = os.path.join(cls.scratchDir, 'allowed_chips_test_db.txt')
if os.path.exists(cls.dbFileName):
os.unlink(cls.dbFileName)
cls.controlSed = Sed()
cls.controlSed.readSED_flambda(os.path.join(getPackageDir('sims_sed_library'),
'flatSED','sed_flat.txt.gz'))
cls.magNorm = 18.1
imsim = Bandpass()
imsim.imsimBandpass()
ff = cls.controlSed.calcFluxNorm(cls.magNorm, imsim)
cls.controlSed.multiplyFluxNorm(ff)
a_x, b_x = cls.controlSed.setupCCMab()
cls.controlSed.addCCMDust(a_x, b_x, A_v=0.1, R_v=3.1)
bpd = BandpassDict.loadTotalBandpassesFromFiles()
pp = PhotometricParameters()
cls.controlADU = cls.controlSed.calcADU(bpd['u'], pp)
cls.countSigma = np.sqrt(cls.controlADU/pp.gain)
cls.x_pix = 50
cls.y_pix = 50
x_list = []
y_list = []
name_list = []
for dd in cls.camera:
x_list.append(cls.x_pix)
y_list.append(cls.y_pix)
name_list.append(dd.getName())
x_list = np.array(x_list)
y_list = np.array(y_list)
ra_list, dec_list = raDecFromPixelCoords(x_list, y_list, name_list,
camera=cls.camera, obs_metadata=cls.obs,
epoch=2000.0)
dra_list = 3600.0*(ra_list-cls.obs.pointingRA)
ddec_list = 3600.0*(dec_list-cls.obs.pointingDec)
create_text_catalog(cls.obs, cls.dbFileName, dra_list, ddec_list,
mag_norm=[cls.magNorm]*len(dra_list))
cls.db = allowedChipsFileDBObj(cls.dbFileName, runtable='test')
def testHalfLightRadiusOfImage(self):
"""
Test that GalSim is generating images of objects with the expected half light radius
by generating images with one object on them and comparing the total flux in the image
with the flux contained within the expected half light radius. Raise an exception
if the deviation is greater than 3-sigma.
"""
scratchDir = os.path.join(getPackageDir('sims_GalSimInterface'), 'tests', 'scratchSpace')
catName = os.path.join(scratchDir, 'hlr_test_Catalog.dat')
imageRoot = os.path.join(scratchDir, 'hlr_test_Image')
dbFileName = os.path.join(scratchDir, 'hlr_test_InputCatalog.dat')
baseDir = os.path.join(getPackageDir('sims_GalSimInterface'), 'tests', 'cameraData')
camera = ReturnCamera(baseDir)
detector = camera[0]
detName = detector.getName()
imageName = '%s_%s_u.fits' % (imageRoot, detName)
obs = ObservationMetaData(pointingRA = 75.0,
pointingDec = -12.0,
boundType = 'circle',
boundLength = 4.0,
rotSkyPos = 33.0,
mjd = 49250.0)
hlrTestList = [1.0, 2.0, 4.0]
for hlr in hlrTestList:
create_text_catalog(obs, dbFileName, np.array([3.0]), np.array([1.0]),
hlr=[hlr])
db = hlrFileDBObj(dbFileName, runtable='test')
cat = hlrCat(db, obs_metadata=obs)
cat.camera = camera
cat.write_catalog(catName)
cat.write_images(nameRoot=imageRoot)
totalFlux, hlrFlux = self.get_flux_in_half_light_radius(imageName, hlr, detector, camera, obs)
self.assertGreater(totalFlux, 1000.0) # make sure the image is not blank
# divide by gain because Poisson stats apply to photons
sigmaFlux = np.sqrt(0.5*totalFlux/cat.photParams.gain)
self.assertLess(np.abs(hlrFlux-0.5*totalFlux), 4.0*sigmaFlux)
if os.path.exists(catName):
os.unlink(catName)
if os.path.exists(dbFileName):
os.unlink(dbFileName)
if os.path.exists(imageName):
os.unlink(imageName)
def setUpClass(cls):
cls.scratchDir = tempfile.mkdtemp(dir=ROOT, prefix='allowedChipsTest-')
cls.obs = ObservationMetaData(pointingRA=122.0, pointingDec=-29.1,
mjd=57381.2, rotSkyPos=43.2,
bandpassName='r')
cls.camera = camTestUtils.CameraWrapper().camera
cls.dbFileName = os.path.join(cls.scratchDir, 'allowed_chips_test_db.txt')
if os.path.exists(cls.dbFileName):
os.unlink(cls.dbFileName)
cls.controlSed = Sed()
cls.controlSed.readSED_flambda(os.path.join(getPackageDir('sims_sed_library'),
'flatSED', 'sed_flat.txt.gz'))
cls.magNorm = 18.1
imsim = Bandpass()
imsim.imsimBandpass()
ff = cls.controlSed.calcFluxNorm(cls.magNorm, imsim)
cls.controlSed.multiplyFluxNorm(ff)
a_x, b_x = cls.controlSed.setupCCMab()
cls.controlSed.addCCMDust(a_x, b_x, A_v=0.1, R_v=3.1)
bpd = BandpassDict.loadTotalBandpassesFromFiles()
pp = PhotometricParameters()
cls.controlADU = cls.controlSed.calcADU(bpd['u'], pp)
cls.countSigma = np.sqrt(cls.controlADU/pp.gain)
cls.x_pix = 50
cls.y_pix = 50
x_list = []
y_list = []
name_list = []
for dd in cls.camera:
x_list.append(cls.x_pix)
y_list.append(cls.y_pix)
name_list.append(dd.getName())
x_list = np.array(x_list)
y_list = np.array(y_list)
ra_list, dec_list = raDecFromPixelCoords(x_list, y_list, name_list,
camera=cls.camera, obs_metadata=cls.obs,
epoch=2000.0)
dra_list = 3600.0*(ra_list-cls.obs.pointingRA)
ddec_list = 3600.0*(dec_list-cls.obs.pointingDec)
create_text_catalog(cls.obs, cls.dbFileName, dra_list, ddec_list,
mag_norm=[cls.magNorm]*len(dra_list))
cls.db = allowedChipsFileDBObj(cls.dbFileName, runtable='test')
def testFwhmOfImage(self):
"""
Test that GalSim generates images with the expected Full Width at Half Maximum.
"""
scratchDir = os.path.join(getPackageDir('sims_GalSimInterface'), 'tests', 'scratchSpace')
catName = os.path.join(scratchDir, 'fwhm_test_Catalog.dat')
imageRoot = os.path.join(scratchDir, 'fwhm_test_Image')
dbFileName = os.path.join(scratchDir, 'fwhm_test_InputCatalog.dat')
baseDir = os.path.join(getPackageDir('sims_GalSimInterface'), 'tests', 'cameraData')
camera = ReturnCamera(baseDir)
detector = camera[0]
detName = detector.getName()
imageName = '%s_%s_u.fits' % (imageRoot, detName)
obs = ObservationMetaData(pointingRA = 75.0,
pointingDec = -12.0,
boundType = 'circle',
boundLength = 4.0,
rotSkyPos = 33.0,
mjd = 49250.0)
create_text_catalog(obs, dbFileName, numpy.array([3.0]), \
numpy.array([1.0]), mag_norm=[13.0])
db = fwhmFileDBObj(dbFileName, runtable='test')
for fwhm in (0.5, 1.3):
cat = fwhmCat(db, obs_metadata=obs)
cat.camera = camera
psf = SNRdocumentPSF(fwhm=fwhm)
cat.setPSF(psf)
cat.write_catalog(catName)
cat.write_images(nameRoot=imageRoot)
self.verify_fwhm(imageName, fwhm, detector, camera, obs)
if os.path.exists(catName):
os.unlink(catName)
if os.path.exists(imageName):
os.unlink(imageName)
if os.path.exists(dbFileName):
os.unlink(dbFileName)
def testKolmogorovGaussianPSF(self):
scratchDir = tempfile.mkdtemp(prefix='testKolmogorovGaussianPSF',
dir=ROOT)
catName = os.path.join(scratchDir,
'kolmogorov_gaussian_test_Catalog.dat')
imageRoot = os.path.join(scratchDir, 'kolmogorov_gaussian_test_Image')
dbFileName = os.path.join(scratchDir,
'kolmogorov_gaussian_test_InputCatalog.dat')
baseDir = os.path.join(getPackageDir('sims_GalSimInterface'), 'tests',
'cameraData')
# instantiate a test camera with pixel_scale = 0.02 arcsec/pixel
camera = ReturnCamera(baseDir)
detector = camera[0]
detName = detector.getName()
imageName = '%s_%s_u.fits' % (imageRoot, detName)
obs = ObservationMetaData(pointingRA=75.0,
pointingDec=-12.0,
boundType='circle',
boundLength=4.0,
rotSkyPos=33.0,
mjd=49250.0)
create_text_catalog(obs,
dbFileName,
np.array([3.0]),
np.array([1.0]),
mag_norm=[13.0])
db = fwhmFileDBObj(dbFileName, runtable='test')
cat = fwhmCat(db, obs_metadata=obs)
cat.camera_wrapper = GalSimCameraWrapper(camera)
psf = Kolmogorov_and_Gaussian_PSF(rawSeeing=0.7,
airmass=1.05,
band='g')
cat.setPSF(psf)
cat.write_catalog(catName)
cat.write_images(nameRoot=imageRoot)
if os.path.exists(scratchDir):
shutil.rmtree(scratchDir)
def testFwhmOfImage(self):
"""
Test that GalSim generates images with the expected Full Width at Half Maximum.
"""
scratchDir = os.path.join(getPackageDir("sims_GalSimInterface"), "tests", "scratchSpace")
catName = os.path.join(scratchDir, "fwhm_test_Catalog.dat")
imageRoot = os.path.join(scratchDir, "fwhm_test_Image")
dbFileName = os.path.join(scratchDir, "fwhm_test_InputCatalog.dat")
baseDir = os.path.join(getPackageDir("sims_GalSimInterface"), "tests", "cameraData")
camera = ReturnCamera(baseDir)
detector = camera[0]
detName = detector.getName()
imageName = "%s_%s_u.fits" % (imageRoot, detName)
obs = ObservationMetaData(
unrefractedRA=75.0, unrefractedDec=-12.0, boundType="circle", boundLength=4.0, rotSkyPos=33.0, mjd=49250.0
)
fwhmTestList = [0.5, 0.9, 1.3]
for fwhm in fwhmTestList:
create_text_catalog(obs, dbFileName, numpy.array([3.0]), numpy.array([1.0]), mag_norm=[14.0])
db = fwhmFileDBObj(dbFileName, runtable="test")
cat = fwhmCat(db, obs_metadata=obs)
cat.camera = camera
psf = SNRdocumentPSF(fwhm=fwhm)
cat.setPSF(psf)
cat.write_catalog(catName)
cat.write_images(nameRoot=imageRoot)
self.verify_fwhm(imageName, fwhm, detector, camera, obs)
if os.path.exists(catName):
os.unlink(catName)
if os.path.exists(dbFileName):
os.unlink(dbFileName)
if os.path.exists(imageName):
os.unlink(imageName)
def testObjectPlacement(self):
"""
Test that GalSim places objects on the correct pixel by drawing
images containing single objects and no background, reading those
images back in, and comparing the flux-averaged centroids of the
images with the expected pixel positions of the input objects.
"""
scratchDir = tempfile.mkdtemp(dir=ROOT, prefix='testLSSTObjectPlacement-')
if os.path.exists(scratchDir):
shutil.rmtree(scratchDir)
os.mkdir(scratchDir)
detector = lsst_camera()['R:0,3 S:2,2']
det_name = 'R03_S22'
magNorm = 19.0
pixel_transformer = DMtoCameraPixelTransformer()
for band in 'ugrizy':
obs = self.obs_dict[band]
catName = os.path.join(scratchDir, 'placementCatalog.dat')
imageRoot = os.path.join(scratchDir, 'placementImage')
dbFileName = os.path.join(scratchDir, 'placementInputCatalog.dat')
imageName = '%s_%s_%s.fits' % (imageRoot, det_name, obs.bandpass)
ra_c, dec_c = raDecFromPixelCoordsLSST(2000.0, 2000.0,
detector.getName(),
band=obs.bandpass,
obs_metadata=obs)
nSamples = 30
rng = np.random.RandomState(42)
fwhm = 0.12
for iteration in range(nSamples):
if os.path.exists(dbFileName):
os.unlink(dbFileName)
ra_obj = ra_c + rng.random_sample()*0.2 - 0.1
dec_obj = dec_c + rng.random_sample()*0.2 - 0.1
dmx_wrong, dmy_wrong = pixelCoordsFromRaDec(ra_obj, dec_obj,
chipName=detector.getName(),
obs_metadata=obs,
camera=lsst_camera())
dmx_pix, dmy_pix = pixelCoordsFromRaDecLSST(ra_obj, dec_obj,
chipName=detector.getName(),
obs_metadata=obs,
band=obs.bandpass)
x_pix, y_pix = pixel_transformer.cameraPixFromDMPix(dmx_pix, dmy_pix,
detector.getName())
x_pix_wrong, y_pix_wrong = pixel_transformer.cameraPixFromDMPix(dmx_wrong, dmy_wrong,
detector.getName())
d_ra = 360.0*(ra_obj - obs.pointingRA) # in arcseconds
d_dec = 360.0*(dec_obj - obs.pointingDec)
create_text_catalog(obs, dbFileName,
np.array([d_ra]), np.array([d_dec]),
mag_norm=[magNorm])
db = LSSTPlacementFileDBObj(dbFileName, runtable='test')
cat = LSSTPlacementCatalog(db, obs_metadata=obs)
cat.camera_wrapper = LSSTCameraWrapper()
psf = SNRdocumentPSF(fwhm=fwhm)
cat.setPSF(psf)
cat.write_catalog(catName)
cat.write_images(nameRoot=imageRoot)
im = afwImage.ImageF(imageName).getArray()
tot_flux = im.sum()
self.assertGreater(tot_flux, 10.0)
y_centroid = sum([ii*im[ii,:].sum() for ii in range(im.shape[0])])/tot_flux
x_centroid = sum([ii*im[:,ii].sum() for ii in range(im.shape[1])])/tot_flux
dd = np.sqrt((x_pix-x_centroid)**2 + (y_pix-y_centroid)**2)
self.assertLess(dd, 0.5*fwhm)
dd_wrong = np.sqrt((x_pix_wrong-x_centroid)**2 +
(y_pix_wrong-y_centroid)**2)
self.assertLess(dd, dd_wrong)
if os.path.exists(dbFileName):
os.unlink(dbFileName)
if os.path.exists(catName):
os.unlink(catName)
if os.path.exists(imageName):
os.unlink(imageName)
if os.path.exists(scratchDir):
shutil.rmtree(scratchDir)
def testPositionAngle(self):
"""
Test that GalSim is generating images with the correct position angle
by creating a FITS image with one extended source in it. Measure
the angle between the semi-major axis of the source and the north
axis of the image. Throw an exception if that angle differs
from the expected position angle by more than 2 degrees.
"""
scratchDir = tempfile.mkdtemp(dir=ROOT, prefix='testPositionAngle-')
catName = os.path.join(scratchDir, 'pa_test_Catalog.dat')
imageRoot = os.path.join(scratchDir, 'pa_test_Image')
dbFileName = os.path.join(scratchDir, 'pa_test_InputCatalog.dat')
baseDir = os.path.join(getPackageDir('sims_GalSimInterface'), 'tests',
'cameraData')
camera = ReturnCamera(baseDir)
detector = camera[0]
detName = detector.getName()
rng = np.random.RandomState(42)
paList = rng.random_sample(7) * 360.0
rotSkyPosList = rng.random_sample(77) * 360.0
for pa, rotSkyPos in zip(paList, rotSkyPosList):
imageName = '%s_%s_u.fits' % (imageRoot, detName)
obs = ObservationMetaData(pointingRA=75.0,
pointingDec=-12.0,
boundType='circle',
boundLength=4.0,
rotSkyPos=rotSkyPos,
mjd=49250.0)
create_text_catalog(obs,
dbFileName,
rng.random_sample(1) * 20.0 - 10.0,
rng.random_sample(1) * 20.0 - 10.0,
pa=[pa],
mag_norm=[17.0])
db = paFileDBObj(dbFileName, runtable='test')
cat = paCat(db, obs_metadata=obs)
cat.camera_wrapper = GalSimCameraWrapper(camera)
cat.write_catalog(catName)
cat.write_images(nameRoot=imageRoot)
paTest = self.get_position_angle(imageName, camera, detector, obs,
2000.0)
# need to compare against all angles displaced by either 180 or 360 degrees
# from expected answer
deviation = np.abs(
np.array([
pa - paTest, pa - 180.0 - paTest, pa + 180.0 - paTest,
pa - 360.0 - paTest, pa + 360.0 - paTest
])).min()
self.assertLess(deviation, 3.0)
if os.path.exists(catName):
os.unlink(catName)
if os.path.exists(dbFileName):
os.unlink(dbFileName)
if os.path.exists(imageName):
os.unlink(imageName)
if os.path.exists(scratchDir):
shutil.rmtree(scratchDir)
def testFitsHeader(self):
"""
Create a test image with the LSST camera and with the
cartoon camera. Verify that the image created with the LSST
camera has the DM-required cards in its FITS header while the
image created with the cartoon camera does not
"""
lsstCamera = LsstSimMapper().camera
cameraDir = os.path.join(getPackageDir('sims_GalSimInterface'), 'tests', 'cameraData')
cartoonCamera = ReturnCamera(cameraDir)
outputDir = os.path.join(getPackageDir('sims_GalSimInterface'), 'tests',
'scratchSpace')
lsst_cat_name = os.path.join(outputDir, 'fits_test_lsst_cat.txt')
lsst_cat_root = os.path.join(outputDir, 'fits_test_lsst_image')
cartoon_cat_name = os.path.join(outputDir, 'fits_test_cartoon_cat.txt')
cartoon_cat_root = os.path.join(outputDir, 'fits_test_cartoon_image')
obs = ObservationMetaData(pointingRA=32.0, pointingDec=22.0,
boundLength=0.1, boundType='circle',
mjd=58000.0, rotSkyPos=14.0, bandpassName='u')
obs.OpsimMetaData = {'obshistID': 112}
dbFileName = os.path.join(outputDir, 'fits_test_db.dat')
create_text_catalog(obs, dbFileName, np.array([30.0]), np.array([30.0]), [22.0])
db = fitsHeaderFileDBObj(dbFileName, runtable='test')
# first test the lsst camera
lsstCat = fitsHeaderCatalog(db, obs_metadata=obs)
lsstCat.camera = lsstCamera
lsstCat.PSF = SNRdocumentPSF()
lsstCat.write_catalog(lsst_cat_name)
lsstCat.write_images(nameRoot=lsst_cat_root)
list_of_files = os.listdir(outputDir)
ct = 0
for file_name in list_of_files:
true_name = os.path.join(outputDir, file_name)
if lsst_cat_root in true_name:
ct += 1
fitsTest = fits.open(true_name)
header = fitsTest[0].header
self.assertIn('CHIPID', header)
self.assertIn('OBSID', header)
self.assertIn('OUTFILE', header)
self.assertEqual(header['OBSID'], 112)
self.assertEqual(header['CHIPID'], 'R22_S11')
self.assertEqual(header['OUTFILE'], 'lsst_e_112_f0_R22_S11_E000')
os.unlink(true_name)
self.assertGreater(ct, 0)
if os.path.exists(lsst_cat_name):
os.unlink(lsst_cat_name)
# now test with the cartoon camera
cartoonCat = fitsHeaderCatalog(db, obs_metadata=obs)
cartoonCat.camera = cartoonCamera
cartoonCat.PSF = SNRdocumentPSF()
cartoonCat.write_catalog(cartoon_cat_name)
cartoonCat.write_images(nameRoot=cartoon_cat_root)
list_of_files = os.listdir(outputDir)
ct = 0
for file_name in list_of_files:
true_name = os.path.join(outputDir, file_name)
if cartoon_cat_root in true_name:
ct += 1
fitsTest = fits.open(true_name)
header = fitsTest[0].header
self.assertNotIn('CHIPID', header)
self.assertNotIn('OBSID', header)
self.assertNotIn('OUTFILE', header)
os.unlink(true_name)
self.assertGreater(ct, 0)
if os.path.exists(cartoon_cat_name):
os.unlink(cartoon_cat_name)
if os.path.exists(dbFileName):
os.unlink(dbFileName)
def testOutputWcsOfImage(self):
"""
Test that, when GalSim generates an image, in encodes the WCS in a
way afw can read. This is done by creating an image,then reading
it back in, getting its WCS, and comparing the pixel-to-sky conversion
both for the read WCS and the original afw.cameraGeom.detector.
Raise an exception if the median difference between the two is
greater than 0.01 arcseconds.
"""
scratchDir = os.path.join(getPackageDir('sims_GalSimInterface'),
'tests', 'scratchSpace')
catName = os.path.join(scratchDir, 'outputWcs_test_Catalog.dat')
imageRoot = os.path.join(scratchDir, 'outputWcs_test_Image')
dbFileName = os.path.join(scratchDir,
'outputWcs_test_InputCatalog.dat')
baseDir = os.path.join(getPackageDir('sims_GalSimInterface'), 'tests',
'cameraData')
camera = ReturnCamera(baseDir)
detector = camera[0]
detName = detector.getName()
imageName = '%s_%s_u.fits' % (imageRoot, detName)
nSamples = 3
rng = np.random.RandomState(42)
pointingRaList = rng.random_sample(nSamples) * 360.0
pointingDecList = rng.random_sample(nSamples) * 180.0 - 90.0
rotSkyPosList = rng.random_sample(nSamples) * 360.0
for raPointing, decPointing, rotSkyPos in \
zip(pointingRaList, pointingDecList, rotSkyPosList):
obs = ObservationMetaData(pointingRA=raPointing,
pointingDec=decPointing,
boundType='circle',
boundLength=4.0,
rotSkyPos=rotSkyPos,
mjd=49250.0)
fwhm = 0.7
create_text_catalog(obs, dbFileName, np.array([3.0]),
np.array([1.0]))
db = outputWcsFileDBObj(dbFileName, runtable='test')
cat = outputWcsCat(db, obs_metadata=obs)
cat.camera = camera
psf = SNRdocumentPSF(fwhm=fwhm)
cat.setPSF(psf)
cat.write_catalog(catName)
cat.write_images(nameRoot=imageRoot)
# 20 March 2017
# the 'try' block is how it worked in SWIG;
# the 'except' block is how it works in pybind11
try:
exposure = afwImage.ExposureD_readFits(imageName)
except AttributeError:
exposure = afwImage.ExposureD.readFits(imageName)
wcs = exposure.getWcs()
xxTestList = []
yyTestList = []
raImage = []
decImage = []
for xx in np.arange(0.0, 4001.0, 100.0):
for yy in np.arange(0.0, 4001.0, 100.0):
xxTestList.append(xx)
yyTestList.append(yy)
pt = afwGeom.Point2D(xx, yy)
skyPt = wcs.pixelToSky(pt).getPosition()
raImage.append(skyPt.getX())
decImage.append(skyPt.getY())
xxTestList = np.array(xxTestList)
yyTestList = np.array(yyTestList)
raImage = np.radians(np.array(raImage))
decImage = np.radians(np.array(decImage))
raControl, \
decControl = _raDecFromPixelCoords(xxTestList, yyTestList,
[detector.getName()]*len(xxTestList),
camera=camera, obs_metadata=obs,
epoch=2000.0)
errorList = arcsecFromRadians(
haversine(raControl, decControl, raImage, decImage))
medianError = np.median(errorList)
msg = 'medianError was %e' % medianError
self.assertLess(medianError, 0.01, msg=msg)
if os.path.exists(catName):
os.unlink(catName)
if os.path.exists(dbFileName):
os.unlink(dbFileName)
if os.path.exists(imageName):
os.unlink(imageName)
def testObjectPlacement(self):
"""
Test that GalSim places objects on the correct pixel by drawing
images, reading them in, and then comparing the flux contained in
circles of 2 fwhm radii about the object's expected positions with
the actual expected flux of the objects.
"""
scratchDir = tempfile.mkdtemp(dir=ROOT, prefix='testObjectPlacement-')
catName = os.path.join(scratchDir, 'placementCatalog.dat')
imageRoot = os.path.join(scratchDir, 'placementImage')
dbFileName = os.path.join(scratchDir, 'placementInputCatalog.dat')
cameraDir = os.path.join(getPackageDir('sims_GalSimInterface'), 'tests', 'cameraData')
camera = ReturnCamera(cameraDir)
detector = camera[0]
imageName = '%s_%s_u.fits' % (imageRoot, detector.getName())
controlSed = Sed()
controlSed.readSED_flambda(os.path.join(getPackageDir('sims_sed_library'),
'flatSED', 'sed_flat.txt.gz'))
uBandpass = Bandpass()
uBandpass.readThroughput(os.path.join(getPackageDir('throughputs'),
'baseline', 'total_u.dat'))
controlBandpass = Bandpass()
controlBandpass.imsimBandpass()
ff = controlSed.calcFluxNorm(self.magNorm, uBandpass)
controlSed.multiplyFluxNorm(ff)
a_int, b_int = controlSed.setupCCMab()
controlSed.addCCMDust(a_int, b_int, A_v=0.1, R_v=3.1)
nSamples = 3
rng = np.random.RandomState(42)
pointingRaList = rng.random_sample(nSamples)*360.0
pointingDecList = rng.random_sample(nSamples)*180.0 - 90.0
rotSkyPosList = rng.random_sample(nSamples)*360.0
fwhmList = rng.random_sample(nSamples)*1.0 + 0.3
actualCounts = None
for pointingRA, pointingDec, rotSkyPos, fwhm in \
zip(pointingRaList, pointingDecList, rotSkyPosList, fwhmList):
obs = ObservationMetaData(pointingRA=pointingRA,
pointingDec=pointingDec,
boundType='circle',
boundLength=4.0,
mjd=49250.0,
rotSkyPos=rotSkyPos)
xDisplacementList = rng.random_sample(nSamples)*60.0-30.0
yDisplacementList = rng.random_sample(nSamples)*60.0-30.0
create_text_catalog(obs, dbFileName, xDisplacementList, yDisplacementList,
mag_norm=[self.magNorm]*len(xDisplacementList))
db = placementFileDBObj(dbFileName, runtable='test')
cat = placementCatalog(db, obs_metadata=obs)
cat.camera_wrapper = GalSimCameraWrapper(camera)
if actualCounts is None:
actualCounts = controlSed.calcADU(uBandpass, cat.photParams)
psf = SNRdocumentPSF(fwhm=fwhm)
cat.setPSF(psf)
cat.write_catalog(catName)
cat.write_images(nameRoot=imageRoot)
objRaList = []
objDecList = []
with open(catName, 'r') as inFile:
for line in inFile:
if line[0] != '#':
words = line.split(';')
objRaList.append(np.radians(np.float(words[2])))
objDecList.append(np.radians(np.float(words[3])))
objRaList = np.array(objRaList)
objDecList = np.array(objDecList)
self.assertGreater(len(objRaList), 0) # make sure we aren't testing
# an empty catalog/image
self.check_placement(imageName, objRaList, objDecList,
[fwhm]*len(objRaList),
np.array([actualCounts]*len(objRaList)),
cat.photParams.gain, detector, camera, obs, epoch=2000.0)
if os.path.exists(dbFileName):
os.unlink(dbFileName)
if os.path.exists(catName):
os.unlink(catName)
if os.path.exists(imageName):
os.unlink(imageName)
if os.path.exists(scratchDir):
shutil.rmtree(scratchDir)
def testFitsHeader(self):
"""
Create a test image with the LSST camera and with the
cartoon camera. Verify that the image created with the LSST
camera has the DM-required cards in its FITS header while the
image created with the cartoon camera does not
"""
cameraDir = os.path.join(getPackageDir('sims_GalSimInterface'),
'tests', 'cameraData')
cartoonCamera = ReturnCamera(cameraDir)
outputDir = tempfile.mkdtemp(dir=ROOT, prefix='testFitsHeader-')
lsst_cat_name = os.path.join(outputDir, 'fits_test_lsst_cat.txt')
lsst_cat_root = os.path.join(outputDir, 'fits_test_lsst_image')
cartoon_cat_name = os.path.join(outputDir, 'fits_test_cartoon_cat.txt')
cartoon_cat_root = os.path.join(outputDir, 'fits_test_cartoon_image')
obs = ObservationMetaData(pointingRA=32.0,
pointingDec=22.0,
boundLength=0.1,
boundType='circle',
mjd=58000.0,
rotSkyPos=14.0,
bandpassName='u')
obs.OpsimMetaData = {'obshistID': 112}
dbFileName = os.path.join(outputDir, 'fits_test_db.dat')
create_text_catalog(obs, dbFileName, np.array([30.0]),
np.array([30.0]), [22.0])
db = fitsHeaderFileDBObj(dbFileName, runtable='test')
# first test the lsst camera
lsstCat = fitsHeaderCatalog(db, obs_metadata=obs)
lsstCat.camera_wrapper = LSSTCameraWrapper()
lsstCat.PSF = SNRdocumentPSF()
lsstCat.write_catalog(lsst_cat_name)
lsstCat.write_images(nameRoot=lsst_cat_root)
list_of_files = os.listdir(outputDir)
ct = 0
for file_name in list_of_files:
true_name = os.path.join(outputDir, file_name)
if lsst_cat_root in true_name:
ct += 1
with fits.open(true_name) as fitsTest:
header = fitsTest[0].header
self.assertIn('CHIPID', header)
self.assertIn('OBSID', header)
self.assertIn('OUTFILE', header)
self.assertEqual(header['OBSID'], 112)
self.assertEqual(header['CHIPID'], 'R22_S11')
self.assertEqual(header['OUTFILE'],
'lsst_e_112_f0_R22_S11_E000')
os.unlink(true_name)
self.assertGreater(ct, 0)
if os.path.exists(lsst_cat_name):
os.unlink(lsst_cat_name)
# now test with the cartoon camera
cartoonCat = fitsHeaderCatalog(db, obs_metadata=obs)
cartoonCat.camera_wrapper = GalSimCameraWrapper(cartoonCamera)
cartoonCat.PSF = SNRdocumentPSF()
cartoonCat.write_catalog(cartoon_cat_name)
cartoonCat.write_images(nameRoot=cartoon_cat_root)
list_of_files = os.listdir(outputDir)
ct = 0
for file_name in list_of_files:
true_name = os.path.join(outputDir, file_name)
if cartoon_cat_root in true_name:
ct += 1
with fits.open(true_name) as fitsTest:
header = fitsTest[0].header
self.assertNotIn('CHIPID', header)
self.assertNotIn('OBSID', header)
self.assertNotIn('OUTFILE', header)
os.unlink(true_name)
self.assertGreater(ct, 0)
if os.path.exists(cartoon_cat_name):
os.unlink(cartoon_cat_name)
if os.path.exists(dbFileName):
os.unlink(dbFileName)
if os.path.exists(outputDir):
shutil.rmtree(outputDir)
def testOutputWcsOfImage(self):
"""
Test that, when GalSim generates an image, in encodes the WCS in a
way afw can read. This is done by creating an image,then reading
it back in, getting its WCS, and comparing the pixel-to-sky conversion
both for the read WCS and the original afw.cameraGeom.detector.
Raise an exception if the median difference between the two is
greater than 0.01 arcseconds.
"""
scratchDir = os.path.join(getPackageDir('sims_GalSimInterface'), 'tests', 'scratchSpace')
catName = os.path.join(scratchDir, 'outputWcs_test_Catalog.dat')
imageRoot = os.path.join(scratchDir, 'outputWcs_test_Image')
dbFileName = os.path.join(scratchDir, 'outputWcs_test_InputCatalog.dat')
baseDir = os.path.join(getPackageDir('sims_GalSimInterface'), 'tests', 'cameraData')
camera = ReturnCamera(baseDir)
detector = camera[0]
detName = detector.getName()
imageName = '%s_%s_u.fits' % (imageRoot, detName)
nSamples = 3
rng = np.random.RandomState(42)
pointingRaList = rng.random_sample(nSamples)*360.0
pointingDecList = rng.random_sample(nSamples)*180.0 - 90.0
rotSkyPosList = rng.random_sample(nSamples)*360.0
for raPointing, decPointing, rotSkyPos in \
zip(pointingRaList, pointingDecList, rotSkyPosList):
obs = ObservationMetaData(pointingRA = raPointing,
pointingDec = decPointing,
boundType = 'circle',
boundLength = 4.0,
rotSkyPos = rotSkyPos,
mjd = 49250.0)
fwhm = 0.7
create_text_catalog(obs, dbFileName, np.array([3.0]),
np.array([1.0]))
db = outputWcsFileDBObj(dbFileName, runtable='test')
cat = outputWcsCat(db, obs_metadata=obs)
cat.camera = camera
psf = SNRdocumentPSF(fwhm=fwhm)
cat.setPSF(psf)
cat.write_catalog(catName)
cat.write_images(nameRoot=imageRoot)
exposure = afwImage.ExposureD_readFits(imageName)
wcs = exposure.getWcs()
xxTestList = []
yyTestList = []
raImage = []
decImage = []
for xx in np.arange(0.0, 4001.0, 100.0):
for yy in np.arange(0.0, 4001.0, 100.0):
xxTestList.append(xx)
yyTestList.append(yy)
pt = afwGeom.Point2D(xx, yy)
skyPt = wcs.pixelToSky(pt).getPosition()
raImage.append(skyPt.getX())
decImage.append(skyPt.getY())
xxTestList = np.array(xxTestList)
yyTestList = np.array(yyTestList)
raImage = np.radians(np.array(raImage))
decImage = np.radians(np.array(decImage))
raControl, \
decControl = _raDecFromPixelCoords(xxTestList, yyTestList,
[detector.getName()]*len(xxTestList),
camera=camera, obs_metadata=obs,
epoch=2000.0)
errorList = arcsecFromRadians(haversine(raControl, decControl,
raImage, decImage))
medianError = np.median(errorList)
msg = 'medianError was %e' % medianError
self.assertLess(medianError, 0.01, msg=msg)
if os.path.exists(catName):
os.unlink(catName)
if os.path.exists(dbFileName):
os.unlink(dbFileName)
if os.path.exists(imageName):
os.unlink(imageName)
def testPositionAngle(self):
"""
Test that GalSim is generating images with the correct position angle
by creating a FITS image with one extended source in it. Measure
the angle between the semi-major axis of the source and the north
axis of the image. Throw an exception if that angle differs
from the expected position angle by more than 2 degrees.
"""
scratchDir = os.path.join(getPackageDir('sims_GalSimInterface'), 'tests', 'scratchSpace')
catName = os.path.join(scratchDir, 'pa_test_Catalog.dat')
imageRoot = os.path.join(scratchDir, 'pa_test_Image')
dbFileName = os.path.join(scratchDir, 'pa_test_InputCatalog.dat')
baseDir = os.path.join(getPackageDir('sims_GalSimInterface'), 'tests', 'cameraData')
camera = ReturnCamera(baseDir)
detector = camera[0]
detName = detector.getName()
numpy.random.seed(42)
paList = numpy.random.random_sample(2)*360.0
rotSkyPosList = numpy.random.random_sample(2)*360.0
for pa in paList:
for rotSkyPos in rotSkyPosList:
imageName = '%s_%s_u.fits' % (imageRoot, detName)
obs = ObservationMetaData(pointingRA = 75.0,
pointingDec = -12.0,
boundType = 'circle',
boundLength = 4.0,
rotSkyPos = rotSkyPos,
mjd = 49250.0)
create_text_catalog(obs, dbFileName,
numpy.random.random_sample(1)*20.0-10.0,
numpy.random.random_sample(1)*20.0-10.0,
pa=[pa],
mag_norm=[17.0])
db = paFileDBObj(dbFileName, runtable='test')
cat = paCat(db, obs_metadata=obs)
cat.camera = camera
cat.write_catalog(catName)
cat.write_images(nameRoot=imageRoot)
paTest = self.get_position_angle(imageName, camera, detector, obs, 2000.0)
# need to compare against all angles displaced by either 180 or 360 degrees
# from expected answer
deviation = numpy.abs(numpy.array([
pa-paTest,
pa-180.0-paTest,
pa+180.0-paTest,
pa-360.0-paTest,
pa+360.0-paTest
])).min()
self.assertLess(deviation, 2.0)
if os.path.exists(catName):
os.unlink(catName)
if os.path.exists(dbFileName):
os.unlink(dbFileName)
if os.path.exists(imageName):
os.unlink(imageName)
def testObjectPlacement(self):
"""
Test that GalSim places objects on the correct pixel by drawing
images, reading them in, and then comparing the flux contained in
circles of 2 fwhm radii about the object's expected positions with
the actual expected flux of the objects.
"""
scratchDir = os.path.join(getPackageDir('sims_GalSimInterface'), 'tests', 'scratchSpace')
catName = os.path.join(scratchDir, 'placementCatalog.dat')
imageRoot = os.path.join(scratchDir, 'placementImage')
dbFileName = os.path.join(scratchDir, 'placementInputCatalog.dat')
cameraDir = os.path.join(getPackageDir('sims_GalSimInterface'), 'tests', 'cameraData')
camera = ReturnCamera(cameraDir)
detector = camera[0]
imageName = '%s_%s_u.fits' % (imageRoot, detector.getName())
controlSed = Sed()
controlSed.readSED_flambda(
os.path.join(getPackageDir('sims_sed_library'),
'flatSED','sed_flat.txt.gz')
)
uBandpass = Bandpass()
uBandpass.readThroughput(
os.path.join(getPackageDir('throughputs'),
'baseline','total_u.dat')
)
controlBandpass = Bandpass()
controlBandpass.imsimBandpass()
ff = controlSed.calcFluxNorm(self.magNorm, uBandpass)
controlSed.multiplyFluxNorm(ff)
a_int, b_int = controlSed.setupCCMab()
controlSed.addCCMDust(a_int, b_int, A_v=0.1, R_v=3.1)
nSamples = 5
numpy.random.seed(42)
pointingRaList = numpy.random.random_sample(nSamples)*360.0
pointingDecList = numpy.random.random_sample(nSamples)*180.0 - 90.0
rotSkyPosList = numpy.random.random_sample(nSamples)*360.0
fwhmList = numpy.random.random_sample(nSamples)*1.0 + 0.3
actualCounts = None
for pointingRA, pointingDec, rotSkyPos, fwhm in \
zip(pointingRaList, pointingDecList, rotSkyPosList, fwhmList):
obs = ObservationMetaData(unrefractedRA=pointingRA,
unrefractedDec=pointingDec,
boundType='circle',
boundLength=4.0,
mjd=49250.0,
rotSkyPos=rotSkyPos)
xDisplacementList = numpy.random.random_sample(nSamples)*60.0-30.0
yDisplacementList = numpy.random.random_sample(nSamples)*60.0-30.0
create_text_catalog(obs, dbFileName, xDisplacementList, yDisplacementList,
mag_norm=[self.magNorm]*len(xDisplacementList))
db = placementFileDBObj(dbFileName, runtable='test')
cat = placementCatalog(db, obs_metadata=obs)
if actualCounts is None:
actualCounts = controlSed.calcADU(uBandpass, cat.photParams)
psf = SNRdocumentPSF(fwhm=fwhm)
cat.setPSF(psf)
cat.camera = camera
cat.write_catalog(catName)
cat.write_images(nameRoot=imageRoot)
objRaList = []
objDecList = []
with open(catName, 'r') as inFile:
for line in inFile:
if line[0] != '#':
words = line.split(';')
objRaList.append(numpy.radians(numpy.float(words[2])))
objDecList.append(numpy.radians(numpy.float(words[3])))
objRaList = numpy.array(objRaList)
objDecList = numpy.array(objDecList)
self.check_placement(imageName, objRaList, objDecList,
[fwhm]*len(objRaList),
numpy.array([actualCounts]*len(objRaList)),
cat.photParams.gain, detector, camera, obs, epoch=2000.0)
if os.path.exists(dbFileName):
os.unlink(dbFileName)
if os.path.exists(catName):
os.unlink(catName)
if os.path.exists(imageName):
os.unlink(imageName)
