def testSymDifference(self):
"""Test Polygon.symDifference"""
poly1 = self.square(2.0, -1.0, -1.0)
poly2 = self.square(2.0, +1.0, +1.0)
poly3 = Polygon([
afwGeom.Point2D(x, y)
for x, y in ((-3.0, -3.0), (-3.0, +1.0), (-1.0, +1.0),
(-1.0, -1.0), (+1.0, -1.0), (1.0, -3.0))
])
poly4 = Polygon([
afwGeom.Point2D(x, y)
for x, y in ((-1.0, +1.0), (-1.0, +3.0), (+3.0, +3.0),
(+3.0, -1.0), (+1.0, -1.0), (1.0, +1.0))
])
diff1 = poly1.symDifference(poly2)
diff2 = poly2.symDifference(poly1)
self.assertEqual(len(diff1), 2)
self.assertEqual(len(diff2), 2)
self.assertTrue((diff1[0] == diff2[0] and diff1[1] == diff2[1])
or (diff1[1] == diff2[0] and diff1[0] == diff2[1]))
self.assertTrue((diff1[0] == poly3 and diff1[1] == poly4)
or (diff1[1] == poly3 and diff1[0] == poly4))
def setUp(self):
# Test geometry:
#
# -100,99 99,99
# +--------------------+
# |AAAAAAAAAACCCCCDDDDD| A == only in epoch A
# |AAAAAAAAAACCCCCDDDDD| B == only in epoch B
# |AAAAAAAAAACCCCCDDDDD| C == in both epoch A and epoch B
# |AAAAAAAAAACCCCCDDDDD| D == in epoch A; in B's bbox but outside its ValidPolygon
# |AAAAAAAAAACCCCCDDDDD|
# | BBBBBBBBBB| All WCSs have the same CRVAL and CD.
# | BBBBBBBBBB|
# | BBBBBBBBBB| Coadd has CRPIX=(0, 0)
# | BBBBBBBBBB| Epoch A has CRPIX=(0, -50)
# | BBBBBBBBBB| Epoch B has CRPIX=(-50, 0)
# +--------------------+
# -100,-100 99,-100
#
self.rng = np.random.RandomState(50)
crval = SpherePoint(45.0, 45.0, degrees)
cdMatrix = makeCdMatrix(scale=5E-5 * degrees, flipX=True)
self.wcsCoadd = makeSkyWcs(crpix=Point2D(0.0, 0.0),
crval=crval,
cdMatrix=cdMatrix)
self.wcsA = makeSkyWcs(crpix=Point2D(0.0, -50.0),
crval=crval,
cdMatrix=cdMatrix)
self.wcsB = makeSkyWcs(crpix=Point2D(-50.0, 0.0),
crval=crval,
cdMatrix=cdMatrix)
self.bboxCoadd = Box2I(Point2I(-100, -100), Point2I(99, 99))
self.bboxA = Box2I(Point2I(-100, -50), Point2I(99, 49))
self.bboxB = Box2I(Point2I(-50, -100), Point2I(49, 99))
self.polygonA = None
polygonD = Polygon(Box2D(Box2I(Point2I(0, 0), Point2I(49, 99))))
self.polygonB, = polygonD.symDifference(Polygon(Box2D(self.bboxB)))
self.curveA = makeRandomTransmissionCurve(self.rng)
self.curveB = makeRandomTransmissionCurve(self.rng)
self.weightA = 0.6
self.weightB = 0.2
schema = ExposureTable.makeMinimalSchema()
weightKey = schema.addField("weight",
type=float,
doc="relative weight of image in Coadd")
catalog = ExposureCatalog(schema)
recordA = catalog.addNew()
recordA[weightKey] = self.weightA
recordA.setWcs(self.wcsA)
recordA.setValidPolygon(self.polygonA)
recordA.setBBox(self.bboxA)
recordA.setTransmissionCurve(self.curveA)
recordB = catalog.addNew()
recordB[weightKey] = self.weightB
recordB.setWcs(self.wcsB)
recordB.setValidPolygon(self.polygonB)
recordB.setBBox(self.bboxB)
recordB.setTransmissionCurve(self.curveB)
self.curveCoadd = makeCoaddTransmissionCurve(self.wcsCoadd, catalog)
def makeCircularPolygon(fpCenterX, fpCenterY, fpRadius, numPolygonPoints):
theta = np.linspace(0, 2 * np.pi, num=numPolygonPoints, endpoint=False)
xx = fpRadius * np.cos(theta) + fpCenterX
yy = fpRadius * np.sin(theta) + fpCenterY
points = np.array([xx, yy]).transpose()
polygon = Polygon([afwGeom.Point2D(x, y) for x, y in reversed(points)])
return polygon
def testValidPolygonPsf(self):
"""Demonstrate that we can use the validPolygon on Exposures in the CoaddPsf."""
# Create 9 separate records, each with its own peculiar Psf, Wcs,
# weight, bounding box, and valid region.
for i in range(1, 10):
record = self.mycatalog.getTable().makeRecord()
record.setPsf(measAlg.DoubleGaussianPsf(100, 100, i, 1.00, 0.0))
crpix = afwGeom.PointD(1000 - 10.0 * i, 1000.0 - 10.0 * i)
wcs = afwImage.makeWcs(self.crval, crpix, self.cd11, self.cd12,
self.cd21, self.cd22)
record.setWcs(wcs)
record['weight'] = 1.0 * (i + 1)
record['id'] = i
record.setBBox(
afwGeom.Box2I(afwGeom.Point2I(0, 0),
afwGeom.Extent2I(1000, 1000)))
validPolygon = Polygon(
afwGeom.Box2D(afwGeom.Point2D(0, 0),
afwGeom.Extent2D(i * 100, i * 100)))
record.setValidPolygon(validPolygon)
self.mycatalog.append(record)
# Create the CoaddPsf and check at three different points to ensure that the validPolygon is working
mypsf = measAlg.CoaddPsf(self.mycatalog, self.wcsref, 'weight')
for position in [
afwGeom.Point2D(50, 50),
afwGeom.Point2D(500, 500),
afwGeom.Point2D(850, 850)
]:
m1coadd, m2coadd = getCoaddSecondMoments(mypsf, position, True)
m1, m2 = getPsfSecondMoments(mypsf, position)
self.assertAlmostEqual(m1, m1coadd, delta=0.01)
self.assertAlmostEqual(m2, m2coadd, delta=0.01)
def getCoaddSecondMoments(coaddpsf, point, useValidPolygon=False):
count = coaddpsf.getComponentCount()
coaddWcs = coaddpsf.getCoaddWcs()
weight_sum = 0.0
m1_sum = 0.0
m2_sum = 0.0
for i in range(count):
wcs = coaddpsf.getWcs(i)
psf = coaddpsf.getPsf(i)
bbox = afwGeom.Box2D(coaddpsf.getBBox(i))
if useValidPolygon:
validPolygon = coaddpsf.getValidPolygon(i)
else:
validPolygon = Polygon(bbox)
point_rel = wcs.skyToPixel(coaddWcs.pixelToSky(afwGeom.Point2D(point)))
if bbox.contains(point_rel) and validPolygon.contains(point_rel):
weight = coaddpsf.getWeight(i)
m0, xbar, ybar, mxx, myy, x0, y0 = getPsfMoments(psf,
point) #, extent)
m1_sum += mxx * weight
m2_sum += myy * weight
weight_sum += weight
if weight_sum == 0.0:
return 0, 0
else:
return m1_sum / weight_sum, m2_sum / weight_sum
def testFromBox(self):
size = 1.0
poly1 = self.square(size=size)
box = afwGeom.Box2D(afwGeom.Point2D(-1.0, -1.0),
afwGeom.Point2D(1.0, 1.0))
poly2 = Polygon(box)
self.assertEqual(poly1, poly2)
def testUnion(self):
"""Test Polygon.union"""
poly1 = self.square(2.0, -1.0, -1.0)
poly2 = self.square(2.0, +1.0, +1.0)
poly3 = Polygon([
afwGeom.Point2D(x, y)
for x, y in ((-3.0, -3.0), (-3.0, +1.0), (-1.0, +1.0),
(-1.0, +3.0), (+3.0, +3.0), (+3.0, -1.0),
(+1.0, -1.0), (+1.0, -3.0))
])
poly4 = self.square(1.0, +5.0, +5.0)
# unionSingle: assumes there's a single union (intersecting polygons)
self.assertEqual(poly1.unionSingle(poly2), poly3)
self.assertEqual(poly2.unionSingle(poly1), poly3)
self.assertRaisesLsstCpp(SinglePolygonException, poly1.unionSingle,
poly4)
self.assertRaisesLsstCpp(SinglePolygonException, poly4.unionSingle,
poly1)
# union: no assumptions
polyList1 = poly1.union(poly2)
polyList2 = poly2.union(poly1)
self.assertEqual(polyList1, polyList2)
self.assertEqual(len(polyList1), 1)
self.assertEqual(polyList1[0], poly3)
polyList3 = poly1.union(poly4)
polyList4 = poly4.union(poly1)
self.assertEqual(len(polyList3), 2)
self.assertEqual(len(polyList3), len(polyList4))
self.assertTrue(
(polyList3[0] == polyList4[0] and polyList3[1] == polyList4[1])
or (polyList3[0] == polyList4[1] and polyList3[1] == polyList4[0]))
self.assertTrue((polyList3[0] == poly1 and polyList3[1] == poly4)
or (polyList3[0] == poly4 and polyList3[1] == poly1))
def setUp(self):
self.bbox = afwGeom.Box2I(afwGeom.Point2I(0, 0),
afwGeom.Point2I(20, 20))
x = [0, 0, 10, 10]
y = [0, 10, 10, 0]
self.polygon = Polygon(
[afwGeom.Point2D(xc, yc) for xc, yc in zip(x, y)])
def testValidPolygonPsf(self):
"""Test that we can use the validPolygon on exposures in the coadd psf"""
print "ValidPolygonTest"
# this is the coadd Wcs we want
cd11 = 5.55555555e-05
cd12 = 0.0
cd21 = 0.0
cd22 = 5.55555555e-05
crval1 = 0.0
crval2 = 0.0
crpix = afwGeom.PointD(1000, 1000)
crval = afwCoord.Coord(afwGeom.Point2D(crval1, crval2))
wcsref = afwImage.makeWcs(crval, crpix, cd11, cd12, cd21, cd22)
schema = afwTable.ExposureTable.makeMinimalSchema()
schema.addField("weight", type="D", doc="Coadd weight")
mycatalog = afwTable.ExposureCatalog(schema)
# Each of the 9 has its peculiar Psf, Wcs, weight, bounding box, and valid region.
for i in range(1, 10, 1):
record = mycatalog.getTable().makeRecord()
psf = measAlg.DoubleGaussianPsf(100, 100, i, 1.00, 0.0)
record.setPsf(psf)
crpix = afwGeom.PointD(1000 - 10.0 * i, 1000.0 - 10.0 * i)
wcs = afwImage.makeWcs(crval, crpix, cd11, cd12, cd21, cd22)
record.setWcs(wcs)
record['weight'] = 1.0 * (i + 1)
record['id'] = i
bbox = afwGeom.Box2I(afwGeom.Point2I(0, 0),
afwGeom.Extent2I(1000, 1000))
record.setBBox(bbox)
validPolygon_bbox = afwGeom.Box2D(
afwGeom.Point2D(0, 0), afwGeom.Extent2D(i * 100, i * 100))
validPolygon = Polygon(validPolygon_bbox)
record.setValidPolygon(validPolygon)
mycatalog.append(record)
# Create the coaddpsf and check at three different points to ensure that the validPolygon is working
mypsf = measAlg.CoaddPsf(mycatalog, wcsref, 'weight')
m1coadd, m2coadd = getCoaddSecondMoments(mypsf,
afwGeom.Point2D(50, 50), True)
m1, m2 = getPsfSecondMoments(mypsf, afwGeom.Point2D(50, 50))
self.assertTrue(testRelDiff(m1, m1coadd, .01))
self.assertTrue(testRelDiff(m2, m2coadd, .01))
m1coadd, m2coadd = getCoaddSecondMoments(mypsf,
afwGeom.Point2D(500, 500),
True)
m1, m2 = getPsfSecondMoments(mypsf, afwGeom.Point2D(500, 500))
self.assertTrue(testRelDiff(m1, m1coadd, .01))
self.assertTrue(testRelDiff(m2, m2coadd, .01))
m1coadd, m2coadd = getCoaddSecondMoments(mypsf,
afwGeom.Point2D(850, 850),
True)
m1, m2 = getPsfSecondMoments(mypsf, afwGeom.Point2D(850, 850))
self.assertTrue(testRelDiff(m1, m1coadd, .01))
self.assertTrue(testRelDiff(m2, m2coadd, .01))
def setValidPolygonIntersect(self, ccdExposure, fpPolygon):
"""!Set the valid polygon as the intersection of fpPolygon and the ccd corners
\param[in,out] exposure exposure to process
\param[in] fpPolygon Polygon in focal plane coordinates
"""
# Get ccd corners in focal plane coordinates
ccd = ccdExposure.getDetector()
fpCorners = ccd.getCorners(FOCAL_PLANE)
ccdPolygon = Polygon(fpCorners)
# Get intersection of ccd corners with fpPolygon
intersect = ccdPolygon.intersectionSingle(fpPolygon)
# Transform back to pixel positions and build new polygon
ccdPoints = [ccd.transform(ccd.makeCameraPoint(x, FOCAL_PLANE), PIXELS).getPoint() for x in intersect]
validPolygon = Polygon(ccdPoints)
ccdExposure.getInfo().setValidPolygon(validPolygon)
def square(self, size=1.0, x0=0, y0=0):
"""Generate a square
@param size: Half-length of the sides
@param x0,y0: Offset of center
"""
return Polygon([
afwGeom.Point2D(size * x + x0, size * y + y0)
for x, y in ((-1, -1), (-1, 1), (1, 1), (1, -1))
])
def testConvexHull(self):
"""Test Polygon.convexHull"""
poly1 = self.square(2.0, -1.0, -1.0)
poly2 = self.square(2.0, +1.0, +1.0)
poly = poly1.unionSingle(poly2)
expected = Polygon([
afwGeom.Point2D(x, y)
for x, y in ((-3.0, -3.0), (-3.0, +1.0), (-1.0, +3.0),
(+3.0, +3.0), (+3.0, -1.0), (+1.0, -3.0))
])
self.assertEqual(poly.convexHull(), expected)
def testSetPolygonIntersect(self):
# Create a detector
detector = DetectorWrapper().detector
numPolygonPoints = 50
# Create an exposure with bounding box defined by detector
exposure = afwImage.ExposureF(detector.getBBox())
exposure.setDetector(detector)
pixelSizeMm = exposure.getDetector().getPixelSize()[0]
pixX0 = exposure.getX0()
pixY0 = exposure.getY0()
pixX1 = pixX0 + exposure.getWidth() - 1
pixY1 = pixY0 + exposure.getHeight() - 1
fpCenter = exposure.getDetector().getCenter(FOCAL_PLANE).getPoint()
fpCenterX = fpCenter[0]
fpCenterY = fpCenter[1]
pixCenter = exposure.getDetector().getCenter(PIXELS).getPoint()
# Create an instance of IsrTask
task = IsrTask()
# Make a polygon that encompases entire ccd (radius of 2*max of width/height)
fpRadius = 2.0*max(exposure.getWidth()*pixelSizeMm, exposure.getHeight()*pixelSizeMm)
fpPolygon = makeCircularPolygon(fpCenterX, fpCenterY, fpRadius, numPolygonPoints)
# Set the polygon that is the intersection of fpPolygon and ccd
task.setValidPolygonIntersect(exposure, fpPolygon)
# Since the ccd is fully contained in the fpPolygon, the intersection should be the ccdPolygon itself
ccdPolygonPix = Polygon(exposure.getDetector().getCorners(PIXELS))
self.assertEqual(exposure.getInfo().getValidPolygon(), ccdPolygonPix)
# Make a polygon that is entirely within, but smaller than, the ccd (radius of 0.2*min of width/height)
fpRadius = 0.2*min(exposure.getWidth()*pixelSizeMm, exposure.getHeight()*pixelSizeMm)
fpPolygon = makeCircularPolygon(fpCenterX, fpCenterY, fpRadius, numPolygonPoints)
# Set the polygon that is the intersection of fpPolygon and ccd
task.setValidPolygonIntersect(exposure, fpPolygon)
# all vertices of polygon should be contained within the ccd
for x in exposure.getInfo().getValidPolygon():
self.assertTrue(ccdPolygonPix.contains(afwGeom.Point2D(x)))
# intersection is smaller than the ccd
self.assertNotEqual(exposure.getInfo().getValidPolygon(), ccdPolygonPix)
# make a simple square polygon that partly intersects the ccd, centered at ccd center
fpPolygonSize = max(exposure.getWidth()*pixelSizeMm, exposure.getHeight()*pixelSizeMm)
fpPolygon = makeSquarePolygon(fpCenterX, fpCenterY, fpPolygonSize)
task.setValidPolygonIntersect(exposure, fpPolygon)
# Check that the polygon contains the central pixel (offset by one to actually be "contained")
pixCenterPlusOne = afwGeom.Point2D(pixCenter[0] + 1, pixCenter[1] + 1)
self.assertTrue(exposure.getInfo().getValidPolygon().contains(afwGeom.Point2D(pixCenterPlusOne)))
# Check that the polygon contains the upper right ccd edge
self.assertTrue(exposure.getInfo().getValidPolygon().contains(afwGeom.Point2D(pixX1, pixY1)))
def testTransform(self):
"""Test constructor for Polygon involving transforms"""
box = afwGeom.Box2D(afwGeom.Point2D(0.0, 0.0),
afwGeom.Point2D(123.4, 567.8))
poly1 = Polygon(box)
scale = (0.2 * afwGeom.arcseconds).asDegrees()
wcs = afwImage.makeWcs(
afwCoord.Coord(0.0 * afwGeom.degrees, 0.0 * afwGeom.degrees),
afwGeom.Point2D(0.0, 0.0), scale, 0.0, 0.0, scale)
transform = afwImage.XYTransformFromWcsPair(wcs, wcs)
poly2 = Polygon(box, transform)
# We lose some very small precision in the XYTransformFromWcsPair
# so we can't compare the polygons directly.
self.assertEqual(poly1.getNumEdges(), poly2.getNumEdges())
for p1, p2 in zip(poly1.getVertices(), poly2.getVertices()):
self.assertAlmostEqual(p1.getX(), p2.getX())
self.assertAlmostEqual(p1.getY(), p2.getY())
transform = afwGeom.AffineTransform.makeScaling(1.0)
poly3 = Polygon(box, transform)
self.assertEqual(poly1, poly3)
def polygon(self, num, radius=1.0, x0=None, y0=None):
"""Generate a polygon
@param num: Number of points
@param radius: Radius of polygon
@param x0,y0: Offset of center
@return polygon
"""
if x0 is None:
x0 = self.x0
if y0 is None:
y0 = self.y0
points = circle(radius, num, x0=x0, y0=y0)
return Polygon([afwGeom.Point2D(x, y) for x, y in reversed(points)])
def __init__(self, *args, **kwargs):
super(SubaruIsrTask, self).__init__(*args, **kwargs)
self.makeSubtask("crosstalk")
if self.config.doWriteVignettePolygon:
theta = numpy.linspace(0,
2 * numpy.pi,
num=self.config.numPolygonPoints,
endpoint=False)
x = self.config.vignette.radius * numpy.cos(
theta) + self.config.vignette.xCenter
y = self.config.vignette.radius * numpy.sin(
theta) + self.config.vignette.yCenter
points = numpy.array([x, y]).transpose()
self.vignettePolygon = Polygon(
[afwGeom.Point2D(x, y) for x, y in reversed(points)])
def constructElements(self, validBox):
"""Construct the elements of a CoaddBoundedField."""
np.random.seed(50)
validPolygon = Polygon(lsst.afw.geom.Box2D(validBox)) if validBox else None
elements = []
validBoxes = []
for i in range(10):
elements.append(
lsst.meas.algorithms.CoaddBoundedField.Element(
self.makeRandomField(self.elementBBox),
self.makeRandomWcs(self.crval),
validPolygon,
np.random.uniform(low=0.5, high=1.5)
)
)
validBoxes.append(validBox)
return elements, validBoxes
def makeExposure(self, universalId):
"""Make a tiny exposure with exposure info set, but no pixels
In particular, exposure info is set as a record in a table, so it can be recorded in a coadd
"""
inputRecorder = self.coaddInputRecorder.makeCoaddTempExpRecorder(
universalId, self.numExp)
bbox = lsst.afw.geom.Box2I(lsst.afw.geom.Point2I(100, 100),
lsst.afw.geom.Extent2I(10, 10))
detectorName = "detector {}".format(universalId)
detector = lsst.afw.cameraGeom.testUtils.DetectorWrapper(
name=detectorName, id=universalId).detector
exp = lsst.afw.image.ExposureF(bbox)
exp.setDetector(detector)
expInfo = exp.getInfo()
wcs = lsst.afw.image.makeWcs(
IcrsCoord(10 * lsst.afw.geom.degrees, 45 * lsst.afw.geom.degrees),
lsst.afw.geom.Point2D(5, 5),
5.1e-5,
0,
0,
-5.1e-5, # CD: 11, 12, 21, 22
)
expInfo.setWcs(wcs)
expInfo.setPsf(GaussianPsf(5, 5, 2.5))
calib = lsst.afw.image.Calib()
calib.setFluxMag0(1.1e12, 2.2e10)
expInfo.setCalib(calib)
expInfo.setApCorrMap(self.makeApCorrMap())
expInfo.setValidPolygon(Polygon(
lsst.afw.geom.Box2D(bbox).getCorners()))
if self.version > 1:
expInfo.setVisitInfo(self.makeVisitInfo())
inputRecorder.addCalExp(calExp=exp, ccdId=universalId, nGoodPix=100)
inputRecorder.finish(coaddTempExp=exp, nGoodPix=100)
return exp
def setUp(self):
crval = lsst.afw.coord.IcrsCoord(45.0 * lsst.afw.geom.degrees,
45.0 * lsst.afw.geom.degrees)
elementBBox = lsst.afw.geom.Box2I(lsst.afw.geom.Point2I(-50, -50),
lsst.afw.geom.Point2I(50, 50))
validBox = lsst.afw.geom.Box2I(lsst.afw.geom.Point2I(-25, -25),
lsst.afw.geom.Point2I(25, 25))
self.elements = lsst.meas.algorithms.CoaddBoundedField.ElementVector()
self.validBoxes = []
for i in range(10):
self.elements.append(
lsst.meas.algorithms.CoaddBoundedField.Element(
self.makeRandomField(elementBBox),
self.makeRandomWcs(crval),
Polygon(lsst.afw.geom.Box2D(validBox)),
numpy.random.uniform(low=0.5, high=1.5)))
self.validBoxes.append(validBox)
self.coaddWcs = self.makeRandomWcs(crval, maxOffset=0.0)
self.bbox = lsst.afw.geom.Box2I(lsst.afw.geom.Point2I(-75, -75),
lsst.afw.geom.Point2I(75, 75))
def testCountInputs(self):
num = 3 # Number of images
size = 10 # Size of images (pixels)
shift = 4 # Shift to apply between images (pixels)
value = 100.0 # Value to give objects
offset = 12345 # x0,y0
cdMatrix = (1.0e-5, 0.0, 0.0, 1.0e-5)
crval = afwCoord.Coord(0.0 * afwGeom.degrees, 0.0 * afwGeom.degrees)
positions = [
afwGeom.Point2D(size // 2 + shift * (i - num // 2) + offset,
size // 2 + shift * (i - num // 2) + offset)
for i in range(num)
]
wcsList = [
afwImage.makeWcs(crval, pos - afwGeom.Extent2D(offset, offset),
*cdMatrix) for pos in positions
]
imageBox = afwGeom.Box2I(afwGeom.Point2I(0, 0),
afwGeom.Extent2I(size, size))
wcsRef = afwImage.makeWcs(crval, afwGeom.Point2D(offset, offset),
*cdMatrix)
exp = afwImage.ExposureF(size, size)
exp.setXY0(afwGeom.Point2I(offset, offset))
exp.setWcs(wcsRef)
exp.setPsf(measAlg.DoubleGaussianPsf(5, 5, 1.0))
exp.getInfo().setCoaddInputs(
afwImage.CoaddInputs(afwTable.ExposureTable.makeMinimalSchema(),
afwTable.ExposureTable.makeMinimalSchema()))
ccds = exp.getInfo().getCoaddInputs().ccds
for wcs in wcsList:
record = ccds.addNew()
record.setWcs(wcs)
record.setBBox(imageBox)
record.setValidPolygon(Polygon(afwGeom.Box2D(imageBox)))
exp.getMaskedImage().getImage().set(0)
exp.getMaskedImage().getMask().set(0)
exp.getMaskedImage().getVariance().set(1.0)
for pp in positions:
x, y = map(int, pp)
exp.getMaskedImage().getImage().set0(x, y, value)
exp.getMaskedImage().getMask().set(x - offset, y - offset, value)
measureSourcesConfig = measAlg.SourceMeasurementConfig()
measureSourcesConfig.algorithms.names = [
"centroid.naive", "countInputs"
]
measureSourcesConfig.slots.centroid = "centroid.naive"
measureSourcesConfig.slots.psfFlux = None
measureSourcesConfig.slots.apFlux = None
measureSourcesConfig.slots.modelFlux = None
measureSourcesConfig.slots.instFlux = None
measureSourcesConfig.slots.calibFlux = None
measureSourcesConfig.slots.shape = None
measureSourcesConfig.validate()
schema = afwTable.SourceTable.makeMinimalSchema()
ms = measureSourcesConfig.makeMeasureSources(schema)
catalog = afwTable.SourceCatalog(schema)
measureSourcesConfig.slots.setupTable(catalog.getTable())
for pp in positions:
foot = afwDetection.Footprint(afwGeom.Point2I(pp), 1.0)
peak = foot.getPeaks().addNew()
peak.setIx(int(pp[0]))
peak.setIy(int(pp[1]))
peak.setFx(pp[0])
peak.setFy(pp[1])
peak.setPeakValue(value)
source = catalog.addNew()
source.setFootprint(foot)
ms.applyWithPeak(source, exp)
number = sum(
afwGeom.Box2D(imageBox).contains(
wcs.skyToPixel(wcsRef.pixelToSky(pp))) for wcs in wcsList)
self.assertEqual(source.get("countInputs"), number)
def testInputCounts(self, showPlot=False):
# Generate a simulated coadd of four overlapping-but-offset CCDs.
# Populate it with three sources.
# Demonstrate that we can correctly recover the number of images which
# contribute to each source.
size = 20 # Size of images (pixels)
value = 100.0 # Source flux
ccdPositions = [
afwGeom.Point2D(8, 0),
afwGeom.Point2D(10, 10),
afwGeom.Point2D(-8, -8),
afwGeom.Point2D(-8, 8)
]
# Represent sources by a tuple of position and expected number of
# contributing CCDs (based on the size/positions given above).
Source = namedtuple("Source", ["pos", "count"])
sources = [
Source(pos=afwGeom.Point2D(6, 6), count=2),
Source(pos=afwGeom.Point2D(10, 10), count=3),
Source(pos=afwGeom.Point2D(14, 14), count=1)
]
# These lines are used in the creation of WCS information
cdMatrix = (1.0e-5, 0.0, 0.0, 1.0e-5)
crval = afwCoord.Coord(0.0 * afwGeom.degrees, 0.0 * afwGeom.degrees)
# Construct the info needed to set the exposure object
imageBox = afwGeom.Box2I(afwGeom.Point2I(0, 0),
afwGeom.Extent2I(size, size))
wcsRef = afwImage.makeWcs(crval, afwGeom.Point2D(0, 0), *cdMatrix)
# Create the exposure object, and set it up to be the output of a coadd
exp = afwImage.ExposureF(size, size)
exp.setWcs(wcsRef)
exp.getInfo().setCoaddInputs(
afwImage.CoaddInputs(afwTable.ExposureTable.makeMinimalSchema(),
afwTable.ExposureTable.makeMinimalSchema()))
# Set the fake CCDs that "went into" making this coadd, using the
# differing wcs objects created above.
ccds = exp.getInfo().getCoaddInputs().ccds
for pos in ccdPositions:
record = ccds.addNew()
record.setWcs(afwImage.makeWcs(crval, pos, *cdMatrix))
record.setBBox(imageBox)
record.setValidPolygon(Polygon(afwGeom.Box2D(imageBox)))
# Configure a SingleFrameMeasurementTask to run InputCounts.
measureSourcesConfig = measBase.SingleFrameMeasurementConfig()
measureSourcesConfig.plugins.names = [
"base_PeakCentroid", "base_InputCount"
]
measureSourcesConfig.slots.centroid = "base_PeakCentroid"
measureSourcesConfig.slots.psfFlux = None
measureSourcesConfig.slots.apFlux = None
measureSourcesConfig.slots.modelFlux = None
measureSourcesConfig.slots.instFlux = None
measureSourcesConfig.slots.calibFlux = None
measureSourcesConfig.slots.shape = None
measureSourcesConfig.validate()
schema = afwTable.SourceTable.makeMinimalSchema()
task = measBase.SingleFrameMeasurementTask(schema,
config=measureSourcesConfig)
catalog = afwTable.SourceCatalog(schema)
# Add simulated sources to the measurement catalog.
for src in sources:
spans = afwGeom.SpanSet.fromShape(1)
spans = spans.shiftedBy(int(src.pos.getX()), int(src.pos.getY()))
foot = afwDetection.Footprint(spans)
peak = foot.getPeaks().addNew()
peak.setFx(src.pos[0])
peak.setFy(src.pos[1])
peak.setPeakValue(value)
catalog.addNew().setFootprint(foot)
task.run(catalog, exp)
for src, rec in zip(sources, catalog):
self.assertEqual(rec.get("base_InputCount_value"), src.count)
if display:
ccdVennDiagram(exp)
def makePolygon():
# We "hide" the import of Polygon here as it has side effects due to
# pybind11 "order of import" issues. See the brief discussion at
# DM-10289.
from lsst.afw.geom.polygon import Polygon
return Polygon([Point2D(1,2), Point2D(2,1)])
def makeSquarePolygon(fpX0, fpY0, fpSize):
xx = [fpX0, fpX0, fpX0 + fpSize - 1, fpX0 + fpSize - 1, fpX0]
yy = [fpY0, fpY0 + fpSize - 1, fpY0 + fpSize - 1, fpY0, fpY0]
points = np.array([xx, yy]).transpose()
polygon = Polygon([afwGeom.Point2D(x, y) for x, y in points])
return polygon
def test(self):
"""Check that we can create and use a coadd ApCorrMap"""
coaddBox = afwGeom.Box2I(afwGeom.Point2I(0, 0),
afwGeom.Extent2I(100, 100))
scale = 5.0e-5 # deg/pix; for CD matrix
coord = afwCoord.Coord(0.0 * afwGeom.degrees, 0.0 * afwGeom.degrees)
center = afwGeom.Point2D(
afwGeom.Extent2D(coaddBox.getDimensions()) * 0.5)
coaddWcs = afwImage.makeWcs(coord, afwGeom.Point2D(0, 0), scale, 0.0,
0.0, scale)
schema = afwTable.ExposureTable.makeMinimalSchema()
weightKey = schema.addField("customweightname",
type="D",
doc="Coadd weight")
catalog = afwTable.ExposureCatalog(schema)
# Non-overlapping
num = 5
inputBox = afwGeom.Box2I(afwGeom.Point2I(0, 0),
afwGeom.Extent2I(10, 10))
validBox = afwGeom.Box2I(afwGeom.Point2I(0, 0), afwGeom.Extent2I(7, 7))
pointList = []
pointListValid = []
for i in range(num):
value = numpy.array([[1]],
dtype=float) # Constant with value = i+1
apCorrMap = afwImage.ApCorrMap()
bf = afwMath.ChebyshevBoundedField(inputBox, value * (i + 1))
apCorrMap.set("only", bf)
point = afwGeom.Point2D(0, 0) - afwGeom.Extent2D(
coaddBox.getDimensions()) * (i + 0.5) / num
wcs = afwImage.makeWcs(coord, point, scale, 0.0, 0.0, scale)
center = afwGeom.Box2D(inputBox).getCenter()
pointList.append(coaddWcs.skyToPixel(wcs.pixelToSky(center)))
# This point will only be valid for the second overlapping record
pointValid = center + afwGeom.Extent2D(4, 4)
pointListValid.append(
coaddWcs.skyToPixel(wcs.pixelToSky(pointValid)))
# A record with the valid polygon defining a limited region
record = catalog.getTable().makeRecord()
record.setWcs(wcs)
record.setBBox(inputBox)
record.setApCorrMap(apCorrMap)
record.set(weightKey, i + 1)
record['id'] = i
record.setValidPolygon(Polygon(afwGeom.Box2D(validBox)))
catalog.append(record)
# An overlapping record with the whole region as valid
record = catalog.getTable().makeRecord()
record.setWcs(wcs)
record.setBBox(inputBox)
apCorrMap = afwImage.ApCorrMap()
bf = afwMath.ChebyshevBoundedField(inputBox, value * (i + 2))
apCorrMap.set("only", bf)
record.setApCorrMap(apCorrMap)
record.set(weightKey, i + 2)
record['id'] = i + num
record.setValidPolygon(Polygon(afwGeom.Box2D(inputBox)))
catalog.append(record)
apCorrMap = measAlg.makeCoaddApCorrMap(catalog, coaddBox, coaddWcs,
"customweightname")
# This will test a point where both records contribute
self.assertApCorrMap(apCorrMap, pointList)
# Only the second record will be valid for this point
self.assertApCorrMapValid(apCorrMap, pointListValid)
filename = "tests/coaddApCorrMap.fits"
exposure = afwImage.ExposureF(1, 1)
exposure.getInfo().setApCorrMap(apCorrMap)
exposure.writeFits(filename)
exposure = afwImage.ExposureF(filename)
self.assertApCorrMap(exposure.getInfo().getApCorrMap(), pointList)
self.assertApCorrMapValid(exposure.getInfo().getApCorrMap(),
pointListValid)
os.unlink(filename)