Coverage for tests/test_imagePsfMatch.py: 14%

1# 

2# LSST Data Management System 

3# Copyright 2008-2016 AURA/LSST. 

4# 

5# This product includes software developed by the 

6# LSST Project (http://www.lsst.org/). 

7# 

8# This program is free software: you can redistribute it and/or modify 

9# it under the terms of the GNU General Public License as published by 

10# the Free Software Foundation, either version 3 of the License, or 

11# (at your option) any later version. 

12# 

13# This program is distributed in the hope that it will be useful, 

14# but WITHOUT ANY WARRANTY; without even the implied warranty of 

15# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 

16# GNU General Public License for more details. 

17# 

18# You should have received a copy of the LSST License Statement and 

19# the GNU General Public License along with this program. If not, 

20# see <https://www.lsstcorp.org/LegalNotices/>. 

21# 

22 

23 

24import unittest 

25 

26 

27import lsst.utils.tests 

28from lsst.afw.geom import makeSkyWcs 

29import lsst.afw.image as afwImage 

30import lsst.afw.math as afwMath 

31import lsst.ip.diffim as ipDiffim 

32import lsst.ip.diffim.diffimTools as diffimTools 

33import lsst.daf.base as dafBase 

34import lsst.utils.logging as logUtils 

35import lsst.meas.algorithms as measAlg 

36 

37logUtils.trace_set_at("lsst.ip.diffim", 4) 

38 

39 

40class PsfMatchTestCases(unittest.TestCase): 

41 

42 def setUp(self): 

43 self.configAL = ipDiffim.ImagePsfMatchTask.ConfigClass() 

44 self.configAL.kernel.name = "AL" 

45 self.subconfigAL = self.configAL.kernel.active 

46 

47 self.configDF = ipDiffim.ImagePsfMatchTask.ConfigClass() 

48 self.configDF.kernel.name = "DF" 

49 self.subconfigDF = self.configDF.kernel.active 

50 

51 self.configDFr = ipDiffim.ImagePsfMatchTask.ConfigClass() 

52 self.configDFr.kernel.name = "DF" 

53 self.subconfigDFr = self.configDFr.kernel.active 

54 

55 self.subconfigAL.afwBackgroundConfig.useApprox = False 

56 self.subconfigDF.afwBackgroundConfig.useApprox = False 

57 self.subconfigDFr.afwBackgroundConfig.useApprox = False 

58 

59 self.subconfigDF.useRegularization = False 

60 self.subconfigDFr.useRegularization = True 

61 

62 self.subconfigAL.constantVarianceWeighting = False 

63 self.subconfigDF.constantVarianceWeighting = False 

64 self.subconfigDFr.constantVarianceWeighting = False 

65 

66 # variance is a hack 

67 self.subconfigAL.singleKernelClipping = False 

68 self.subconfigAL.spatialKernelClipping = False 

69 self.subconfigDF.singleKernelClipping = False 

70 self.subconfigDF.spatialKernelClipping = False 

71 self.subconfigDFr.singleKernelClipping = False 

72 self.subconfigDFr.spatialKernelClipping = False 

73 

74 # Send fake kernel a differential background 

75 self.bgValue = 100. 

76 self.subconfigAL.fitForBackground = True 

77 self.subconfigDF.fitForBackground = True 

78 self.subconfigDFr.fitForBackground = True 

79 

80 # Make ideal PSF 

81 self.ksize = 21 

82 self.sigma = 2.0 

83 self.psf = measAlg.DoubleGaussianPsf(self.ksize, self.ksize, self.sigma) 

84 

85 def makeWcs(self, offset=0): 

86 # taken from $AFW_DIR/tests/testMakeWcs.py 

87 metadata = dafBase.PropertySet() 

88 metadata.set("SIMPLE", "T") 

89 metadata.set("BITPIX", -32) 

90 metadata.set("NAXIS", 2) 

91 metadata.set("NAXIS1", 1024) 

92 metadata.set("NAXIS2", 1153) 

93 metadata.set("RADESYS", 'FK5') 

94 metadata.set("EQUINOX", 2000.) 

95 metadata.setDouble("CRVAL1", 215.604025685476) 

96 metadata.setDouble("CRVAL2", 53.1595451514076) 

97 metadata.setDouble("CRPIX1", 1109.99981456774 + offset) 

98 metadata.setDouble("CRPIX2", 560.018167811613 + offset) 

99 metadata.set("CTYPE1", 'RA---SIN') 

100 metadata.set("CTYPE2", 'DEC--SIN') 

101 metadata.setDouble("CD1_1", 5.10808596133527E-05) 

102 metadata.setDouble("CD1_2", 1.85579539217196E-07) 

103 metadata.setDouble("CD2_2", -5.10281493481982E-05) 

104 metadata.setDouble("CD2_1", -8.27440751733828E-07) 

105 return makeSkyWcs(metadata) 

106 

107 def testWarping(self): 

108 tMi, sMi, sK, kcs, confake = diffimTools.makeFakeKernelSet(bgValue=self.bgValue) 

109 

110 tWcs = self.makeWcs(offset=0) 

111 sWcs = self.makeWcs(offset=1) 

112 tExp = afwImage.ExposureF(tMi, tWcs) 

113 sExp = afwImage.ExposureF(sMi, sWcs) 

114 

115 # Should fail due to registration problem 

116 psfMatchAL = ipDiffim.ImagePsfMatchTask(config=self.configAL) 

117 try: 

118 psfMatchAL.subtractExposures(tExp, sExp, doWarping=True) 

119 except Exception as e: 

120 print("testWarning failed with %r" % (e,)) 

121 pass 

122 else: 

123 self.fail() 

124 

125 def testSubtractExposures(self): 

126 # Test all 3 options 

127 tMi, sMi, sK, kcs, confake = diffimTools.makeFakeKernelSet(bgValue=self.bgValue) 

128 

129 tWcs = self.makeWcs(offset=0) 

130 sWcs = self.makeWcs(offset=1) 

131 tExp = afwImage.ExposureF(tMi, tWcs) 

132 sExp = afwImage.ExposureF(sMi, sWcs) 

133 sExp.setPsf(self.psf) 

134 tExp.setPsf(self.psf) 

135 

136 psfMatchAL = ipDiffim.ImagePsfMatchTask(config=self.configAL) 

137 psfMatchDF = ipDiffim.ImagePsfMatchTask(config=self.configDF) 

138 psfMatchDFr = ipDiffim.ImagePsfMatchTask(config=self.configDFr) 

139 

140 self.assertEqual(psfMatchAL.useRegularization, False) 

141 self.assertEqual(psfMatchDF.useRegularization, False) 

142 self.assertEqual(psfMatchDFr.useRegularization, True) 

143 

144 resultsAL = psfMatchAL.subtractExposures(tExp, sExp, doWarping=True) 

145 psfMatchDF.subtractExposures(tExp, sExp, doWarping=True) 

146 psfMatchDFr.subtractExposures(tExp, sExp, doWarping=True) 

147 

148 self.assertEqual(type(resultsAL.subtractedExposure), afwImage.ExposureF) 

149 self.assertEqual(type(resultsAL.psfMatchingKernel), afwMath.LinearCombinationKernel) 

150 self.assertEqual(type(resultsAL.backgroundModel), afwMath.Chebyshev1Function2D) 

151 self.assertEqual(type(resultsAL.kernelCellSet), afwMath.SpatialCellSet) 

152 

153 def testMatchExposures(self): 

154 # Only test 1 option 

155 tMi, sMi, sK, kcs, confake = diffimTools.makeFakeKernelSet(bgValue=self.bgValue) 

156 

157 tWcs = self.makeWcs(offset=0) 

158 sWcs = self.makeWcs(offset=1) 

159 tExp = afwImage.ExposureF(tMi, tWcs) 

160 sExp = afwImage.ExposureF(sMi, sWcs) 

161 sExp.setPsf(self.psf) 

162 tExp.setPsf(self.psf) 

163 

164 psfMatchAL = ipDiffim.ImagePsfMatchTask(config=self.configAL) 

165 resultsAL = psfMatchAL.matchExposures(tExp, sExp, 

166 templateFwhmPix=2.0, scienceFwhmPix=3.0, doWarping=True) 

167 self.assertEqual(type(resultsAL.matchedExposure), afwImage.ExposureF) 

168 self.assertEqual(type(resultsAL.psfMatchingKernel), afwMath.LinearCombinationKernel) 

169 self.assertEqual(type(resultsAL.backgroundModel), afwMath.Chebyshev1Function2D) 

170 self.assertEqual(type(resultsAL.kernelCellSet), afwMath.SpatialCellSet) 

171 

172 def testPca(self, nTerms=3): 

173 tMi, sMi, sK, kcs, confake = diffimTools.makeFakeKernelSet(bgValue=self.bgValue) 

174 

175 tWcs = self.makeWcs(offset=0) 

176 sWcs = self.makeWcs(offset=0) 

177 tExp = afwImage.ExposureF(tMi, tWcs) 

178 sExp = afwImage.ExposureF(sMi, sWcs) 

179 sExp.setPsf(self.psf) 

180 

181 self.subconfigDF.usePcaForSpatialKernel = True 

182 self.subconfigDF.numPrincipalComponents = nTerms 

183 

184 psfMatchDF = ipDiffim.ImagePsfMatchTask(config=self.configDF) 

185 candList = psfMatchDF.makeCandidateList(tExp, sExp, self.ksize) 

186 resultsDF = psfMatchDF.subtractMaskedImages(tMi, sMi, candList) 

187 

188 spatialKernel = resultsDF.psfMatchingKernel 

189 spatialKernelSolution = spatialKernel.getSpatialParameters() 

190 self.assertEqual(len(spatialKernelSolution), nTerms) 

191 

192 # First basis has no spatial variation 

193 for i in range(1, nTerms): 

194 self.assertEqual(spatialKernelSolution[0][i], 0.) 

195 

196 # All bases have correct number of terms 

197 sko = self.subconfigDF.spatialKernelOrder 

198 nSpatialTerms = int(0.5 * (sko + 1) * (sko + 2)) 

199 for i in range(len(spatialKernelSolution)): 

200 self.assertEqual(len(spatialKernelSolution[i]), nSpatialTerms) 

201 

202 spatialBg = resultsDF.backgroundModel 

203 spatialBgSolution = spatialBg.getParameters() 

204 bgo = self.subconfigDF.spatialBgOrder 

205 nBgTerms = int(0.5 * (bgo + 1) * (bgo + 2)) 

206 self.assertEqual(len(spatialBgSolution), nBgTerms) 

207 

208 def testSubtractMaskedImages(self): 

209 # Lets do some additional testing here to make sure we recover 

210 # the known spatial model. No background, just the faked 

211 # alard-lupton basis set. The rest of matchMaskedImages() and 

212 # subtractMaskedImages() functionality is tested by the 

213 # Exposure-based methods. 

214 fakeCoeffs = diffimTools.fakeCoeffs() 

215 

216 # Quick note; you shouldn't change confake here, since the 

217 # candidates in the KernelCellSet are initialized in 

218 # makeFakeKernelSet 

219 tMi, sMi, sK, kcs, confake = diffimTools.makeFakeKernelSet(bgValue=0.0, addNoise=False) 

220 

221 svar = sMi.getVariance() 

222 svar.set(1.0) 

223 tvar = tMi.getVariance() 

224 tvar.set(1.0) 

225 

226 basisList = ipDiffim.makeKernelBasisList(confake.kernel.active) 

227 psfMatchAL = ipDiffim.ImagePsfMatchTask(config=confake) 

228 spatialSolution, psfMatchingKernel, backgroundModel = psfMatchAL._solve(kcs, basisList) 

229 

230 fitCoeffs = psfMatchingKernel.getSpatialParameters() 

231 

232 for b in range(len(fakeCoeffs)): 

233 for s in range(len(fakeCoeffs[b])): 

234 

235 if fakeCoeffs[b][s] == 0.0: 

236 self.assertAlmostEqual(fitCoeffs[b][s], 0.0) 

237 else: 

238 # OUTSTANDING ISSUE - WHY IS THIS ONE TERM OFF!?!? 

239 if b != 4 and s != 0: 

240 self.assertAlmostEqual(fitCoeffs[b][s]/fakeCoeffs[b][s], 1.0, 1) 

241 

242 def tearDown(self): 

243 del self.configAL 

244 del self.configDF 

245 del self.configDFr 

246 del self.psf 

247 

248 

249class TestMemory(lsst.utils.tests.MemoryTestCase): 

250 pass 

251 

252 

253def setup_module(module): 

254 lsst.utils.tests.init() 

255 

256 

257if __name__ == "__main__": 257 ↛ 258line 257 didn't jump to line 258, because the condition on line 257 was never true

258 lsst.utils.tests.init() 

259 unittest.main()