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from builtins import zip 

from builtins import range 

import os 

import numpy as np 

import unittest 

import lsst.utils 

import lsst.utils.tests 

from lsst.sims.utils import ObservationMetaData 

import lsst.sims.photUtils.SignalToNoise as snr 

from lsst.sims.photUtils import Sed, Bandpass, PhotometricParameters, LSSTdefaults 

from lsst.sims.photUtils.utils import setM5 

 

 

def setup_module(module): 

lsst.utils.tests.init() 

 

 

class TestSNRmethods(unittest.TestCase): 

 

def setUp(self): 

 

starName = os.path.join(lsst.utils.getPackageDir('sims_photUtils'), 

'tests/cartoonSedTestData/starSed/') 

starName = os.path.join(starName, 'kurucz', 'km20_5750.fits_g40_5790.gz') 

self.starSED = Sed() 

self.starSED.readSED_flambda(starName) 

imsimband = Bandpass() 

imsimband.imsimBandpass() 

fNorm = self.starSED.calcFluxNorm(22.0, imsimband) 

self.starSED.multiplyFluxNorm(fNorm) 

 

hardwareDir = os.path.join(lsst.utils.getPackageDir('throughputs'), 'baseline') 

componentList = ['detector.dat', 'm1.dat', 'm2.dat', 'm3.dat', 

'lens1.dat', 'lens2.dat', 'lens3.dat'] 

self.skySed = Sed() 

self.skySed.readSED_flambda(os.path.join(hardwareDir, 'darksky.dat')) 

 

totalNameList = ['total_u.dat', 'total_g.dat', 'total_r.dat', 'total_i.dat', 

'total_z.dat', 'total_y.dat'] 

 

self.bpList = [] 

self.hardwareList = [] 

for name in totalNameList: 

dummy = Bandpass() 

dummy.readThroughput(os.path.join(hardwareDir, name)) 

self.bpList.append(dummy) 

 

dummy = Bandpass() 

hardwareNameList = [os.path.join(hardwareDir, name)] 

for component in componentList: 

hardwareNameList.append(os.path.join(hardwareDir, component)) 

dummy.readThroughputList(hardwareNameList) 

self.hardwareList.append(dummy) 

 

self.filterNameList = ['u', 'g', 'r', 'i', 'z', 'y'] 

 

def testMagError(self): 

""" 

Make sure that calcMagError_sed and calcMagError_m5 

agree to within 0.001 

""" 

defaults = LSSTdefaults() 

photParams = PhotometricParameters() 

 

# create a cartoon spectrum to test on 

spectrum = Sed() 

spectrum.setFlatSED() 

spectrum.multiplyFluxNorm(1.0e-9) 

 

# find the magnitudes of that spectrum in our bandpasses 

magList = [] 

for total in self.bpList: 

magList.append(spectrum.calcMag(total)) 

magList = np.array(magList) 

 

# try for different normalizations of the skySED 

for fNorm in np.arange(1.0, 5.0, 1.0): 

self.skySed.multiplyFluxNorm(fNorm) 

 

for total, hardware, filterName, mm in \ 

zip(self.bpList, self.hardwareList, self.filterNameList, magList): 

 

FWHMeff = defaults.FWHMeff(filterName) 

 

m5 = snr.calcM5(self.skySed, total, hardware, photParams, FWHMeff=FWHMeff) 

 

sigma_sed = snr.calcMagError_sed(spectrum, total, self.skySed, 

hardware, photParams, FWHMeff=FWHMeff) 

 

sigma_m5, gamma = snr.calcMagError_m5(mm, total, m5, photParams) 

 

self.assertAlmostEqual(sigma_m5, sigma_sed, 3) 

 

def testVerboseSNR(self): 

""" 

Make sure that calcSNR_sed has everything it needs to run in verbose mode 

""" 

photParams = PhotometricParameters() 

 

# create a cartoon spectrum to test on 

spectrum = Sed() 

spectrum.setFlatSED() 

spectrum.multiplyFluxNorm(1.0e-9) 

 

snr.calcSNR_sed(spectrum, self.bpList[0], self.skySed, 

self.hardwareList[0], photParams, FWHMeff=0.7, verbose=True) 

 

def testSignalToNoise(self): 

""" 

Test that calcSNR_m5 and calcSNR_sed give similar results 

""" 

defaults = LSSTdefaults() 

photParams = PhotometricParameters() 

 

m5 = [] 

for i in range(len(self.hardwareList)): 

m5.append(snr.calcM5(self.skySed, self.bpList[i], 

self.hardwareList[i], 

photParams, FWHMeff=defaults.FWHMeff(self.filterNameList[i]))) 

 

sedDir = os.path.join(lsst.utils.getPackageDir('sims_photUtils'), 

'tests/cartoonSedTestData/starSed/') 

sedDir = os.path.join(sedDir, 'kurucz') 

fileNameList = os.listdir(sedDir) 

 

rng = np.random.RandomState(42) 

offset = rng.random_sample(len(fileNameList))*2.0 

 

for ix, name in enumerate(fileNameList): 

130 ↛ 131line 130 didn't jump to line 131, because the condition on line 130 was never true if ix > 100: 

break 

spectrum = Sed() 

spectrum.readSED_flambda(os.path.join(sedDir, name)) 

ff = spectrum.calcFluxNorm(m5[2]-offset[ix], self.bpList[2]) 

spectrum.multiplyFluxNorm(ff) 

for i in range(len(self.bpList)): 

control_snr = snr.calcSNR_sed(spectrum, self.bpList[i], 

self.skySed, 

self.hardwareList[i], 

photParams, defaults.FWHMeff(self.filterNameList[i])) 

 

mag = spectrum.calcMag(self.bpList[i]) 

 

test_snr, gamma = snr.calcSNR_m5(mag, self.bpList[i], m5[i], photParams) 

self.assertLess((test_snr-control_snr)/control_snr, 0.001) 

 

def testSystematicUncertainty(self): 

""" 

Test that systematic uncertainty is added correctly. 

""" 

sigmaSys = 0.002 

m5_list = [23.5, 24.3, 22.1, 20.0, 19.5, 21.7] 

photParams = PhotometricParameters(sigmaSys=sigmaSys) 

 

obs_metadata = ObservationMetaData(pointingRA=23.0, pointingDec=45.0, 

m5=m5_list, bandpassName=self.filterNameList) 

magnitude_list = [] 

for bp in self.bpList: 

mag = self.starSED.calcMag(bp) 

magnitude_list.append(mag) 

 

for bp, hardware, filterName, mm, m5 in \ 

zip(self.bpList, self.hardwareList, self.filterNameList, magnitude_list, m5_list): 

 

skyDummy = Sed() 

skyDummy.readSED_flambda(os.path.join(lsst.utils.getPackageDir('throughputs'), 

'baseline', 'darksky.dat')) 

 

normalizedSkyDummy = setM5(obs_metadata.m5[filterName], skyDummy, 

bp, hardware, 

FWHMeff=LSSTdefaults().FWHMeff(filterName), 

photParams=photParams) 

 

sigma, gamma = snr.calcMagError_m5(mm, bp, m5, photParams) 

 

snrat = snr.calcSNR_sed(self.starSED, bp, normalizedSkyDummy, hardware, 

FWHMeff=LSSTdefaults().FWHMeff(filterName), 

photParams=PhotometricParameters()) 

 

testSNR, gamma = snr.calcSNR_m5(mm, bp, m5, photParams=PhotometricParameters(sigmaSys=0.0)) 

 

self.assertAlmostEqual(snrat, testSNR, 10, 

msg = 'failed on calcSNR_m5 test %e != %e ' 

% (snrat, testSNR)) 

 

control = np.sqrt(np.power(snr.magErrorFromSNR(testSNR), 2) + np.power(sigmaSys, 2)) 

 

msg = '%e is not %e; failed' % (sigma, control) 

 

self.assertAlmostEqual(sigma, control, 10, msg=msg) 

 

def testNoSystematicUncertainty(self): 

""" 

Test that systematic uncertainty is handled correctly when set to None. 

""" 

m5_list = [23.5, 24.3, 22.1, 20.0, 19.5, 21.7] 

photParams = PhotometricParameters(sigmaSys=0.0) 

 

obs_metadata = ObservationMetaData(pointingRA=23.0, pointingDec=45.0, 

m5=m5_list, bandpassName=self.filterNameList) 

 

magnitude_list = [] 

for bp in self.bpList: 

mag = self.starSED.calcMag(bp) 

magnitude_list.append(mag) 

 

for bp, hardware, filterName, mm, m5 in \ 

zip(self.bpList, self.hardwareList, self.filterNameList, magnitude_list, m5_list): 

 

skyDummy = Sed() 

skyDummy.readSED_flambda(os.path.join(lsst.utils.getPackageDir('throughputs'), 

'baseline', 'darksky.dat')) 

 

normalizedSkyDummy = setM5(obs_metadata.m5[filterName], skyDummy, 

bp, hardware, 

FWHMeff=LSSTdefaults().FWHMeff(filterName), 

photParams=photParams) 

 

sigma, gamma = snr.calcMagError_m5(mm, bp, m5, photParams) 

 

snrat = snr.calcSNR_sed(self.starSED, bp, normalizedSkyDummy, hardware, 

FWHMeff=LSSTdefaults().FWHMeff(filterName), 

photParams=PhotometricParameters()) 

 

testSNR, gamma = snr.calcSNR_m5(mm, bp, m5, photParams=PhotometricParameters(sigmaSys=0.0)) 

 

self.assertAlmostEqual(snrat, testSNR, 10, 

msg = 'failed on calcSNR_m5 test %e != %e ' 

% (snrat, testSNR)) 

 

control = snr.magErrorFromSNR(testSNR) 

 

msg = '%e is not %e; failed' % (sigma, control) 

 

self.assertAlmostEqual(sigma, control, 10, msg=msg) 

 

def testFWHMconversions(self): 

FWHMeff = 0.8 

FWHMgeom = snr.FWHMeff2FWHMgeom(FWHMeff) 

self.assertEqual(FWHMgeom, (0.822*FWHMeff+0.052)) 

FWHMgeom = 0.8 

FWHMeff = snr.FWHMgeom2FWHMeff(FWHMgeom) 

self.assertEqual(FWHMeff, (FWHMgeom-0.052)/0.822) 

 

def testSNR_arr(self): 

""" 

Test that calcSNR_m5 works on numpy arrays of magnitudes 

""" 

rng = np.random.RandomState(17) 

mag_list = rng.random_sample(100)*5.0 + 15.0 

 

photParams = PhotometricParameters() 

bp = self.bpList[0] 

m5 = 24.0 

control_list = [] 

for mm in mag_list: 

ratio, gamma = snr.calcSNR_m5(mm, bp, m5, photParams) 

control_list.append(ratio) 

control_list = np.array(control_list) 

 

test_list, gamma = snr.calcSNR_m5(mag_list, bp, m5, photParams) 

 

np.testing.assert_array_equal(control_list, test_list) 

 

def testError_arr(self): 

""" 

Test that calcMagError_m5 works on numpy arrays of magnitudes 

""" 

rng = np.random.RandomState(17) 

mag_list = rng.random_sample(100)*5.0 + 15.0 

 

photParams = PhotometricParameters() 

bp = self.bpList[0] 

m5 = 24.0 

control_list = [] 

for mm in mag_list: 

sig, gamma = snr.calcMagError_m5(mm, bp, m5, photParams) 

control_list.append(sig) 

control_list = np.array(control_list) 

 

test_list, gamma = snr.calcMagError_m5(mag_list, bp, m5, photParams) 

 

np.testing.assert_array_equal(control_list, test_list) 

 

 

class MemoryTestClass(lsst.utils.tests.MemoryTestCase): 

pass 

 

289 ↛ 290line 289 didn't jump to line 290, because the condition on line 289 was never trueif __name__ == "__main__": 

lsst.utils.tests.init() 

unittest.main()