Hide keyboard shortcuts

Hot-keys on this page

r m x p   toggle line displays

j k   next/prev highlighted chunk

0   (zero) top of page

1   (one) first highlighted chunk

1

2

3

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

31

32

33

34

35

36

37

38

39

40

41

42

43

44

45

46

47

48

49

50

51

52

53

54

55

56

57

58

59

60

61

62

63

64

65

66

67

68

69

70

71

72

73

74

75

76

77

78

79

80

81

82

83

84

85

86

87

88

89

90

91

92

93

94

95

96

97

98

99

100

101

102

103

104

105

106

107

108

109

110

111

112

113

114

115

116

117

118

119

120

121

122

123

124

125

126

127

128

129

130

131

132

133

134

135

136

137

138

139

140

141

142

143

144

145

146

147

148

149

150

151

152

153

154

155

156

157

158

159

160

161

162

163

164

165

166

167

168

169

170

171

172

173

174

175

176

177

178

179

180

181

182

183

184

185

186

187

188

189

190

191

192

193

194

195

196

197

198

199

200

201

202

203

204

205

206

207

208

209

210

211

212

213

214

215

216

217

218

219

220

221

222

223

224

225

226

227

228

229

230

231

232

233

234

235

236

237

238

239

240

241

242

243

244

245

246

247

248

249

250

# 

# LSST Data Management System 

# 

# Copyright 2008-2016 AURA/LSST. 

# 

# This product includes software developed by the 

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

# 

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

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

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

# (at your option) any later version. 

# 

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

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

# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 

# GNU General Public License for more details. 

# 

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

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

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

# 

import unittest 

 

import lsst.geom 

import lsst.afw.detection as afwDet 

import lsst.afw.image as afwImage 

import lsst.afw.table as afwTable 

import lsst.meas.algorithms as measAlg 

import lsst.utils.tests 

 

try: 

type(display) 

import lsst.afw.display.ds9 as ds9 

except NameError: 

display = False 

 

 

def makeEmptyCatalog(psfCandidateField=None): 

"""Return an empty catalog with a useful schema for psfCandidate testing. 

 

Parameters 

---------- 

psfCandidateField : `str` or None 

The name of a flag field to add to the schema. 

 

Returns 

------- 

catalog : `lsst.afw.table.SourceCatalog` 

The created (empty) catalog. 

""" 

schema = afwTable.SourceTable.makeMinimalSchema() 

lsst.afw.table.Point2DKey.addFields(schema, "centroid", "centroid", "pixels") 

if psfCandidateField is not None: 

schema.addField(psfCandidateField, type="Flag", doc="Is a psfCandidate?") 

catalog = afwTable.SourceCatalog(schema) 

catalog.defineCentroid('centroid') 

 

return catalog 

 

 

def createFakeSource(x, y, catalog, exposure, threshold=0.1): 

"""Create a fake source at the given x/y centroid location. 

 

Parameters 

---------- 

x,y : `int` 

The x and y centroid coordinates to place the image at. 

catalog : `lsst.afw.table.SourceCatalog` 

The catalog to add the new source to. 

exposure : `lsst.afw.image.Exposure` 

The exposure to add the source to. 

threshold : `float`, optional 

The footprint threshold for identifying the source. 

 

Returns 

------- 

source : `lsst.afw.table.SourceRecord` 

The created source record that was added to ``catalog``. 

""" 

source = catalog.addNew() 

source['centroid_x'] = x 

source['centroid_y'] = y 

 

exposure.getMaskedImage().getImage()[x, y] = 1.0 

fpSet = afwDet.FootprintSet(exposure.getMaskedImage(), afwDet.Threshold(threshold), "DETECTED") 

87 ↛ 88line 87 didn't jump to line 88, because the condition on line 87 was never true if display: 

ds9.mtv(exposure, frame=1) 

for fp in fpSet.getFootprints(): 

for peak in fp.getPeaks(): 

ds9.dot("x", peak.getIx(), peak.getIy(), frame=1) 

 

# There might be multiple footprints; only the one around x,y should go in the source 

found = False 

95 ↛ 100line 95 didn't jump to line 100, because the loop on line 95 didn't complete for fp in fpSet.getFootprints(): 

if fp.contains(lsst.geom.Point2I(x, y)): 

found = True 

break 

# We cannot continue if the the created source wasn't found. 

assert found, "Unable to find central peak in footprint: faulty test" 

 

source.setFootprint(fp) 

return source 

 

 

class CandidateMaskingTestCase(lsst.utils.tests.TestCase): 

"""Testing masking around PSF candidates.""" 

 

def setUp(self): 

self.catalog = makeEmptyCatalog() 

 

self.x, self.y = 123, 45 

self.exposure = afwImage.ExposureF(256, 256) 

self.exposure.getMaskedImage().getVariance().set(0.01) 

 

def tearDown(self): 

del self.exposure 

del self.catalog 

 

def createCandidate(self, threshold=0.1): 

"""Create a PSF candidate from self.exposure 

 

@param threshold: Threshold for creating footprints on image 

""" 

source = createFakeSource(self.x, self.y, self.catalog, self.exposure, threshold) 

 

return measAlg.makePsfCandidate(source, self.exposure) 

 

def checkCandidateMasking(self, badPixels, extraPixels=[], size=25, threshold=0.1, pixelThreshold=0.0): 

"""Check that candidates are masked properly 

 

We add various pixels to the image and investigate the masking. 

 

@param badPixels: (x,y,flux) triplet of pixels that should be masked 

@param extraPixels: (x,y,flux) triplet of additional pixels to add to image 

@param size: Size of candidate 

@param threshold: Threshold for creating footprints on image 

@param pixelThreshold: Threshold for masking pixels on candidate 

""" 

image = self.exposure.getMaskedImage().getImage() 

for x, y, f in badPixels + extraPixels: 

image[x, y] = f 

cand = self.createCandidate(threshold=threshold) 

oldPixelThreshold = cand.getPixelThreshold() 

try: 

cand.setPixelThreshold(pixelThreshold) 

candImage = cand.getMaskedImage(size, size) 

mask = candImage.getMask() 

149 ↛ 150line 149 didn't jump to line 150, because the condition on line 149 was never true if display: 

ds9.mtv(candImage, frame=2) 

ds9.mtv(candImage.getMask().convertU(), frame=3) 

 

detected = mask.getMaskPlane("DETECTED") 

intrp = mask.getMaskPlane("INTRP") 

for x, y, f in badPixels: 

x -= self.x - size//2 

y -= self.y - size//2 

self.assertTrue(mask.get(x, y, intrp)) 

self.assertFalse(mask.get(x, y, detected)) 

finally: 

# Ensure this static variable is reset 

cand.setPixelThreshold(oldPixelThreshold) 

 

def testBlends(self): 

"""Test that blended objects are masked.""" 

""" 

We create another object next to the one of interest, 

joined by a bridge so that they're part of the same 

footprint. The extra object should be masked. 

""" 

self.checkCandidateMasking([(self.x+2, self.y, 1.0)], [(self.x+1, self.y, 0.5)]) 

 

def testNeighborMasking(self): 

"""Test that neighbours are masked.""" 

""" 

We create another object separated from the one of 

interest, which should be masked. 

""" 

self.checkCandidateMasking([(self.x+5, self.y, 1.0)]) 

 

def testFaintNeighborMasking(self): 

"""Test that faint neighbours are masked.""" 

""" 

We create another faint (i.e., undetected) object separated 

from the one of interest, which should be masked. 

""" 

self.checkCandidateMasking([(self.x+5, self.y, 0.5)], threshold=0.9, pixelThreshold=1.0) 

 

 

class MakePsfCandidatesTaskTest(lsst.utils.tests.TestCase): 

"""Test MakePsfCandidatesTask on a handful of fake sources. 

 

Notes 

----- 

Does not test sources with NaN/Inf in their footprint. Also does not test 

any properties of the resulting PsfCandidates: those are assumed to be tested 

in ``CandidateMaskingTestCase`` above. 

""" 

def setUp(self): 

self.psfCandidateField = "psfCandidate" 

self.catalog = makeEmptyCatalog(self.psfCandidateField) 

 

# id=0 is bad because it's on the edge, so fails with a WARN: LengthError. 

self.badIds = [1, ] 

self.goodIds = [2, 3] 

# x and y coordinate: keep these in sync with the above good/bad list. 

self.xCoords = [0, 100, 200] 

self.yCoords = [0, 100, 20] 

self.exposure = afwImage.ExposureF(256, 256) 

self.exposure.getMaskedImage().getVariance().set(0.01) 

for x, y in zip(self.xCoords, self.yCoords): 

createFakeSource(x, y, self.catalog, self.exposure, 0.1) 

 

self.makePsfCandidates = measAlg.MakePsfCandidatesTask() 

 

def testMakePsfCandidates(self): 

result = self.makePsfCandidates.run(self.catalog, self.exposure) 

self.assertEqual(len(result.psfCandidates), len(self.goodIds)) 

 

for goodId in self.goodIds: 

self.assertIn(goodId, result.goodStarCat['id']) 

 

for badId in self.badIds: 

self.assertNotIn(badId, result.goodStarCat['id']) 

 

def testMakePsfCandidatesStarSelectedField(self): 

"""Test MakePsfCandidatesTask setting a selected field.""" 

result = self.makePsfCandidates.run(self.catalog, 

self.exposure, 

psfCandidateField=self.psfCandidateField) 

self.assertEqual(len(result.psfCandidates), len(self.goodIds)) 

 

for goodId in self.goodIds: 

self.assertTrue(self.catalog.find(goodId).get(self.psfCandidateField)) 

 

for badId in self.badIds: 

self.assertFalse(self.catalog.find(badId).get(self.psfCandidateField)) 

 

 

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

pass 

 

 

def setup_module(module): 

lsst.utils.tests.init() 

 

 

248 ↛ 249line 248 didn't jump to line 249, because the condition on line 248 was never trueif __name__ == "__main__": 

lsst.utils.tests.init() 

unittest.main()