def testFootprintFromCircle(self):
"""Create an elliptical Footprint"""
ellipse = afwGeom.Ellipse(afwGeomEllipses.Axes(6, 6, 0),
afwGeom.Point2D(9, 15))
spanSet = afwGeom.SpanSet.fromShape(ellipse)
foot = afwDetect.Footprint(
spanSet,
afwGeom.Box2I(afwGeom.Point2I(0, 0), afwGeom.Extent2I(20, 30)))
idImage = afwImage.ImageU(
afwGeom.Extent2I(foot.getRegion().getWidth(),
foot.getRegion().getHeight()))
idImage.set(0)
foot.spans.setImage(idImage, foot.getId())
if False:
ds9.mtv(idImage, frame=2)
def cmpExposure(self, e1, e2):
self.assertEqual(e1.getDetector().getName(),
e2.getDetector().getName())
self.assertEqual(e1.getDetector().getSerial(),
e2.getDetector().getSerial())
self.assertEqual(e1.getFilter().getName(), e2.getFilter().getName())
xy = afwGeom.Point2D(0, 0)
self.assertEqual(e1.getWcs().pixelToSky(xy)[0],
e2.getWcs().pixelToSky(xy)[0])
self.assertEqual(e1.getCalib().getExptime(),
e2.getCalib().getExptime())
# check PSF identity
if not e1.getPsf():
self.assertFalse(e2.getPsf())
else:
psf1 = DummyPsf.swigConvert(e1.getPsf())
psf2 = DummyPsf.swigConvert(e2.getPsf())
self.assertEqual(psf1.getValue(), psf2.getValue())
def testAssertPairsNearlyEqual(self):
"""Test assertPairsNearlyEqual"""
for pair0 in ((-5, 4), (-5, 0.001), (0, 0), (49, 0.1)):
self.assertPairsNearlyEqual(pair0, pair0, maxDiff=1e-7)
self.assertPairsNearlyEqual(afwGeom.Point2D(*pair0),
afwGeom.Extent2D(*pair0),
maxDiff=1e-7)
for diff in ((0.001, 0), (-0.01, 0.03)):
pair1 = [pair0[i] + diff[i] for i in range(2)]
radialDiff = math.hypot(*diff)
self.assertPairsNearlyEqual(pair0,
pair1,
maxDiff=radialDiff + 1e-7)
self.assertRaises(AssertionError,
self.assertPairsNearlyEqual,
pair0,
pair1,
maxDiff=radialDiff - 1e-7)
def compareTransforms(self, orient, pixelSize=afwGeom.Extent2D(0.12,
0.21)):
"""Compare makeFpPixelTransform and makePixelFpTransform to each other
"""
fwdTransform = orient.makeFpPixelTransform(pixelSize)
revTransform = orient.makePixelFpTransform(pixelSize)
for x in (-100.1, 0.0, 230.0):
for y in (-45.0, 0.0, 25.1):
pixPos = afwGeom.Point2D(x, y)
fwdFPPos = fwdTransform.forwardTransform(pixPos)
fwdPixPos = fwdTransform.reverseTransform(fwdFPPos)
revPixPos = revTransform.forwardTransform(fwdFPPos)
revFPPos = revTransform.reverseTransform(pixPos)
for i in range(2):
self.assertAlmostEqual(pixPos[i], fwdPixPos[i])
self.assertAlmostEqual(pixPos[i], revPixPos[i])
self.assertAlmostEqual(fwdFPPos[i], revFPPos[i])
def testTransformList(self):
"""Test transform method, list version
"""
fromList = []
for x in (-1.2, 0.0, 25.3):
for y in (-23.4, 0.0, 2.3):
fromList.append(afwGeom.Point2D(x, y))
for fromSys in self.transformMap.getCoordSysList():
for toSys in self.transformMap.getCoordSysList():
toList = self.transformMap.transform(fromList, fromSys, toSys)
self.assertEqual(len(fromList), len(toList))
for fromPoint, toPoint in zip(fromList, toList):
predToPoint = self.transformMap.transform(
fromPoint, fromSys, toSys)
for i in range(2):
self.assertAlmostEqual(predToPoint[i], toPoint[i])
def testFactory(self):
"""Test the Factory function makeCoord()"""
# make a (eg galactic) coord with the constructor, and with the factory
# and see if they agree.
for constructor, enum, stringName in self.coordList:
con = constructor(self.l * afwGeom.degrees,
self.b * afwGeom.degrees)
self.assertEqual(con.getCoordSystem(), enum)
factories = []
factories.append(
afwCoord.makeCoord(enum, self.l * afwGeom.degrees,
self.b * afwGeom.degrees))
factories.append(
afwCoord.makeCoord(afwCoord.makeCoordEnum(stringName),
self.l * afwGeom.degrees,
self.b * afwGeom.degrees))
factories.append(
afwCoord.makeCoord(enum, afwGeom.Point2D(self.l, self.b),
afwGeom.degrees))
print("Factory: ")
for fac in factories:
self.assertEqual(fac.getCoordSystem(), enum)
self.assertAlmostEqual(con[0], fac[0])
self.assertAlmostEqual(con[1], fac[1])
print(" tried ", fac[0], fac[1], "(expected ", con[0], con[1],
")")
# can we create an empty coord, and use reset() to fill it?
c = afwCoord.makeCoord(enum)
c.reset(1.0 * afwGeom.degrees, 1.0 * afwGeom.degrees, 2000.0)
self.assertEqual(c.getLongitude().asDegrees(), 1.0)
self.assertEqual(c.getLatitude().asDegrees(), 1.0)
# verify that makeCoord throws when given an epoch for an epochless
# system
with self.assertRaises(pexEx.Exception):
afwCoord.makeCoord(afwCoord.GALACTIC, self.l * afwGeom.degrees,
self.b * afwGeom.degrees, 2000.0)
with self.assertRaises(pexEx.Exception):
afwCoord.makeCoord(afwCoord.ICRS, self.l * afwGeom.degrees,
self.b * afwGeom.degrees, 2000.0)
def std_raw(self, image, dataId):
"""Standardize a raw dataset by converting it to an Exposure instead of an Image"""
if isinstance(image, afwImage.DecoratedImageU) or isinstance(image, afwImage.DecoratedImageI) or \
isinstance(image, afwImage.DecoratedImageF) or isinstance(image, afwImage.DecoratedImageD):
exposure = afwImage.makeExposure(afwImage.makeMaskedImage(image.getImage()))
else:
exposure = image
md = image.getMetadata()
if True:
wcs = afwImage.makeWcs(md, True)
# The CASU WCSes use ZPN; our stuff wants TAN
# This won't work near the pole, but should be decent away from it.
box = afwGeom.BoxD(image.getImage().getBBox())
refPix = box.getCenter()
refSky = wcs.pixelToSky(refPix)
refSkyOffsetX = wcs.pixelToSky(refPix + afwGeom.Extent2D(1.0, 0.0))
refSkyOffsetY = wcs.pixelToSky(refPix + afwGeom.Extent2D(0.0, 1.0))
xPixelScale = refSky.angularSeparation(refSkyOffsetX).asDegrees()
yPixelScale = refSky.angularSeparation(refSkyOffsetY).asDegrees()
xPixelScale = yPixelScale = wcs.pixelScale().asDegrees()
else:
refPix = afwGeom.Point2D(md.get("CRPIX1"), md.get("CRPIX2"))
refSky = afwCoord.IcrsCoord(md.get("CRVAL1")*afwGeom.degrees,
md.get("CRVAL2")*afwGeom.degrees)
xPixelScale = yPixelScale = (0.2*afwGeom.arcseconds).asDegrees()
# import pdb;pdb.set_trace()
exposure.setMetadata(md)
#newWcs = afwImage.makeWcs(refSky, refPix, xPixelScale, 0.0, 0.0, yPixelScale)
#wcs = afwImage.makeWcs(md, True)
#exposure.setWcs(newWcs)
exposure.setWcs(wcs)
""" Set up exposure time """
pathId = self._transformId(dataId)
expTime = pathId['expTime']
exposure.getCalib().setExptime(expTime)
return self._standardizeExposure(self.exposures['raw'], exposure, dataId,
trimmed=False)
def __init__(self, config=None):
"""Construct a EquatSkyMap
@param[in] config: an instance of self.ConfigClass; if None the default config is used
"""
BaseSkyMap.__init__(self, config)
decRange = tuple(
afwGeom.Angle(dr, afwGeom.degrees) for dr in self.config.decRange)
midDec = (decRange[0] + decRange[1]) / 2.0
tractWidthRA = afwGeom.Angle(360.0 / self.config.numTracts,
afwGeom.degrees)
tractOverlap = afwGeom.Angle(self.config.tractOverlap, afwGeom.degrees)
for id in range(self.config.numTracts):
begRA = tractWidthRA * id
endRA = begRA + tractWidthRA
vertexCoordList = (
afwGeom.SpherePoint(begRA, decRange[0]),
afwGeom.SpherePoint(endRA, decRange[0]),
afwGeom.SpherePoint(endRA, decRange[1]),
afwGeom.SpherePoint(begRA, decRange[1]),
)
midRA = begRA + tractWidthRA / 2.0
ctrCoord = afwGeom.SpherePoint(midRA, midDec)
# CRVal must have Dec=0 for symmetry about the equator
crValCoord = afwGeom.SpherePoint(midRA, afwGeom.Angle(0.0))
# make initial WCS; don't worry about crPixPos because TractInfo will shift it as required
wcs = self._wcsFactory.makeWcs(crPixPos=afwGeom.Point2D(0, 0),
crValCoord=crValCoord)
self._tractInfoList.append(
TractInfo(
id=id,
patchInnerDimensions=self.config.patchInnerDimensions,
patchBorder=self.config.patchBorder,
ctrCoord=ctrCoord,
vertexCoordList=vertexCoordList,
tractOverlap=tractOverlap,
wcs=wcs,
))
def createImage(
dataId={"name": "foobar"}, # Data identifier
center=CENTER, # Celestial coordinates of center (Coord)
rotateAxis=ROTATEAXIS, # Rotation axis (Angle)
rotateAngle=0 *
afwGeom.degrees, # Rotation angle/distance to move (Angle)
dims=DIMS, # Image dimensions (Extent2I)
scale=SCALE # Pixel scale (Angle)
):
crpix = afwGeom.Point2D(afwGeom.Extent2D(dims) * 0.5)
center = center.clone(
) # Ensure user doesn't need it, because we're mangling it
center.rotate(rotateAxis, rotateAngle)
wcs = afwImage.makeWcs(center, crpix, scale.asDegrees(), 0.0, 0.0,
scale.asDegrees())
return SelectStruct(
DummyDataRef(dataId), wcs,
afwGeom.Box2I(afwGeom.Point2I(0, 0),
afwGeom.Extent2I(dims[0], dims[1])))
def testAssertBoxesNearlyEqual(self):
"""Test assertBoxesNearlyEqual"""
for min0 in ((0, 0), (-1000.5, 5000.1)):
min0 = afwGeom.Point2D(*min0)
for extent0 in ((2.01, 3.01), (5432, 2342)):
extent0 = afwGeom.Extent2D(*extent0)
box0 = afwGeom.Box2D(min0, extent0)
self.assertBoxesNearlyEqual(box0, box0, maxDiff=1e-7)
for deltaExtent in ((0.001, -0.001), (2, -3)):
deltaExtent = afwGeom.Extent2D(*deltaExtent)
box1 = afwGeom.Box2D(box0.getMin() + deltaExtent,
box0.getMax())
radDiff = math.hypot(*deltaExtent)
self.assertBoxesNearlyEqual(box0,
box1,
maxDiff=radDiff * 1.00001)
self.assertRaises(AssertionError,
self.assertBoxesNearlyEqual,
box0,
box1,
maxDiff=radDiff * 0.99999)
box2 = afwGeom.Box2D(box0.getMin() - deltaExtent,
box0.getMax())
self.assertBoxesNearlyEqual(box0,
box2,
maxDiff=radDiff * 1.00001)
self.assertRaises(AssertionError,
self.assertBoxesNearlyEqual,
box0,
box2,
maxDiff=radDiff * 0.999999)
box3 = afwGeom.Box2D(box0.getMin(),
box0.getMax() + deltaExtent)
self.assertBoxesNearlyEqual(box0,
box3,
maxDiff=radDiff * 1.00001)
self.assertRaises(AssertionError,
self.assertBoxesNearlyEqual,
box0,
box3,
maxDiff=radDiff * 0.999999)
def testTablePersistence(self):
ellipse = afwGeomEllipses.Ellipse(afwGeomEllipses.Axes(8, 6, 0.25),
afwGeom.Point2D(9, 15))
fp1 = afwDetect.Footprint(ellipse)
fp1.addPeak(6, 7, 2)
fp1.addPeak(8, 9, 3)
filename = "testFootprintTablePersistence.fits"
fp1.writeFits(filename)
fp2 = afwDetect.Footprint.readFits(filename)
self.assertEqual(fp1.getArea(), fp2.getArea())
self.assertEqual(list(fp1.getSpans()), list(fp2.getSpans()))
self.assertEqual(len(fp1.getPeaks()), len(fp2.getPeaks()))
for peak1, peak2 in zip(fp1.getPeaks(), fp2.getPeaks()):
self.assertEqual(peak1.getIx(), peak2.getIx())
self.assertEqual(peak1.getIy(), peak2.getIy())
self.assertEqual(peak1.getFx(), peak2.getFx())
self.assertEqual(peak1.getFy(), peak2.getFy())
self.assertEqual(peak1.getPeakValue(), peak2.getPeakValue())
os.remove(filename)
def testFailureFlagged(self):
# Check that aperture correction flag is set to True if aperture correction is invalid (negative)
flagName = self.name + "_flag_apCorr"
flagKey = self.schema.find(flagName).key
source_test_flux = 5.2
source_test_centroid = afwGeom.Point2D(5, 7.1)
sourceCat = initializeSourceCatalog(schema=self.schema, name=self.name, flux=source_test_flux,
sigma=0, centroid=source_test_centroid)
fluxName = self.name + "_flux"
fluxSigmaName = self.name + "_fluxSigma"
apCorrMap = afwImage.ApCorrMap()
bbox = afwGeom.Box2I(afwGeom.Point2I(0, 0), afwGeom.ExtentI(10, 10))
coefficients = -(numpy.ones((1, 1), dtype=float))
coefficients_sigma = numpy.zeros((1, 1), dtype=float)
apCorrMap[fluxName] = ChebyshevBoundedField(bbox, coefficients)
apCorrMap[fluxSigmaName] = ChebyshevBoundedField(bbox, coefficients_sigma)
self.ap_corr_task.run(sourceCat, apCorrMap)
self.assertTrue(sourceCat[flagKey])
def get_pixel_coords(self, dataId, mag_cut=22.):
calexp = self.butler.get('calexp', dataId)
wcs = calexp.getWcs()
dim = calexp.getDimensions()
centerPixel = afw_geom.Point2D(dim.getX()/2., dim.getY()/2.)
centerCoord = wcs.pixelToSky(centerPixel)
radius = afw_geom.Angle(0.17, afw_geom.degrees)
ref_cat \
= self.refTask.loadSkyCircle(centerCoord, radius,
calexp.getFilter().getName()).refCat
xref, yref = [], []
mags = -2.5*np.log10(ref_cat['u_flux']/3631.)
for i, row in enumerate(ref_cat):
if mags[i] > mag_cut:
continue
point = wcs.skyToPixel(row.getCoord())
xref.append(point.getX())
yref.append(point.getY())
return xref, yref, ref_cat
def testMakeCameraPoint(self):
"""Test the makeCameraPoint method
"""
dw = DetectorWrapper()
for xyMM in ((25.6, -31.07), (0, 0)):
point = afwGeom.Point2D(*xyMM)
for sysName in ("csys1", "csys2"):
for detectorName in ("", dw.name, "a different detector"):
cameraSys1 = cameraGeom.CameraSys(sysName, detectorName)
cameraPoint1 = dw.detector.makeCameraPoint(point, cameraSys1)
self.assertEquals(cameraPoint1.getPoint(), point)
self.assertEquals(cameraPoint1.getCameraSys(), cameraSys1)
cameraSysPrefix = cameraGeom.CameraSysPrefix(sysName)
cameraPoint2 = dw.detector.makeCameraPoint(point, cameraSysPrefix)
predCameraSys2 = cameraGeom.CameraSys(sysName, dw.name)
self.assertEquals(cameraPoint2.getPoint(), point)
self.assertEquals(cameraPoint2.getCameraSys(), predCameraSys2)
def _growPsf(exp, extraPix=(2, 3)):
bbox = exp.getBBox()
center = ((bbox.getBeginX() + bbox.getEndX()) // 2.,
(bbox.getBeginY() + bbox.getEndY()) // 2.)
center = afwGeom.Point2D(center[0], center[1])
kern = exp.getPsf().computeKernelImage(center).convertF()
kernSize = kern.getDimensions()
paddedKern = afwImage.ImageF(kernSize[0] + extraPix[0],
kernSize[1] + extraPix[1])
bboxToPlace = afwGeom.Box2I(
afwGeom.Point2I(
(kernSize[0] + extraPix[0] - kern.getWidth()) // 2,
(kernSize[1] + extraPix[1] - kern.getHeight()) // 2),
kern.getDimensions())
paddedKern.assign(kern, bboxToPlace)
fixedKern = afwMath.FixedKernel(paddedKern.convertD())
psfNew = measAlg.KernelPsf(fixedKern, center)
exp.setPsf(psfNew)
return exp
def setUp(self):
'''Create two calibs, one with a valid zero-point and one without. Use these to create two UnitSystem
objects.
'''
self.mag2Flux = lambda m: 10.0**(m / 2.5)
self.flux2Mag = lambda f: 2.5 * np.log10(f)
calibNoZero = afwImage.Calib()
calibWithZero = afwImage.Calib()
calibWithZero.setFluxMag0(self.mag2Flux(25))
scale = 0.2 * afwGeom.arcseconds
wcs = afwGeom.makeSkyWcs(crpix=afwGeom.Point2D(),
crval=afwGeom.SpherePoint(
45.0, 45.0, afwGeom.degrees),
cdMatrix=afwGeom.makeCdMatrix(scale=scale))
self.unitNoZero = measModel.UnitSystem(wcs, calibNoZero)
self.unitWithZero = measModel.UnitSystem(wcs, calibWithZero)
def testCatFluxUnchanged(self):
# Pick arbitrary but unique values for the test case
source_test_flux = 5.3
source_test_centroid = afwGeom.Point2D(5, 7.1)
sourceCat = initializeSourceCatalog(schema=self.schema, name=self.name, flux=source_test_flux,
sigma=0, centroid=source_test_centroid)
fluxName = self.name + "_flux"
fluxSigmaName = self.name + "_fluxSigma"
fluxKey = self.schema.find(fluxName).key
apCorrMap = afwImage.ApCorrMap()
bbox = afwGeom.Box2I(afwGeom.Point2I(0, 0), afwGeom.ExtentI(10, 10))
coefficients = numpy.ones((1, 1), dtype=float)
coefficients_sigma = numpy.zeros((1, 1), dtype=float)
apCorrMap[fluxName] = ChebyshevBoundedField(bbox, coefficients)
apCorrMap[fluxSigmaName] = ChebyshevBoundedField(bbox, coefficients_sigma)
self.ap_corr_task.run(sourceCat, apCorrMap)
self.assertEqual(sourceCat[fluxKey], source_test_flux)
def compare2DFunctions(self,
func1,
func2,
minVal=-10,
maxVal=None,
nVal=5):
"""Compare two functions(Point2D) -> Point2D over a range of values
"""
if maxVal is None:
maxVal = -minVal
dVal = (maxVal - minVal) / (nVal - 1)
for xInd in range(nVal):
x = minVal + (xInd * dVal)
for yInd in range(nVal):
y = minVal + (yInd * dVal)
fromPoint = afwGeom.Point2D(x, y)
res1 = func1(fromPoint)
res2 = func2(fromPoint)
self.assertPairsAlmostEqual(res1, res2)
def setUp(self):
'''Create two calibs, one with a valid zero-point and one without. Use these to create two UnitSystem
objects.
'''
self.mag2Flux = lambda m: 10.0**(m / 2.5)
self.flux2Mag = lambda f: 2.5 * np.log10(f)
calibNoZero = afwImage.Calib()
calibWithZero = afwImage.Calib()
calibWithZero.setFluxMag0(self.mag2Flux(25))
cdelt = (0.2 * afwGeom.arcseconds).asDegrees()
position = afwCoord.IcrsCoord(45.0 * afwGeom.degrees,
45.0 * afwGeom.degrees)
wcs = afwImage.makeWcs(position, afwGeom.Point2D(), cdelt, 0.0, 0.0,
cdelt)
self.unitNoZero = measModel.UnitSystem(wcs, calibNoZero)
self.unitWithZero = measModel.UnitSystem(wcs, calibWithZero)
def _makePsfMaskedImage(self, psfModel, posX, posY, dimensions=None):
"""! Return a MaskedImage of the a PSF Model of specified dimensions
"""
rawKernel = psfModel.computeKernelImage(afwGeom.Point2D(posX, posY)).convertF()
if dimensions is None:
dimensions = rawKernel.getDimensions()
if rawKernel.getDimensions() == dimensions:
kernelIm = rawKernel
else:
# make image of proper size
kernelIm = afwImage.ImageF(dimensions)
bboxToPlace = afwGeom.Box2I(afwGeom.Point2I((dimensions.getX() - rawKernel.getWidth())//2,
(dimensions.getY() - rawKernel.getHeight())//2),
rawKernel.getDimensions())
kernelIm.assign(rawKernel, bboxToPlace)
kernelMask = afwImage.Mask(dimensions, 0x0)
kernelVar = afwImage.ImageF(dimensions, 1.0)
return afwImage.MaskedImageF(kernelIm, kernelMask, kernelVar)
def computeWarpedBBox(destWcs, srcBBox, srcWcs):
"""Compute the bounding box of a warped image
The bounding box includes all warped pixels and it may be a bit oversize.
@param destWcs: WCS of warped exposure
@param srcBBox: parent bounding box of unwarped image
@param srcWcs: WCS of unwarped image
@return destBBox: bounding box of warped exposure
"""
srcPosBox = afwGeom.Box2D(srcBBox)
destPosBox = afwGeom.Box2D()
for inX in (srcPosBox.getMinX(), srcPosBox.getMaxX()):
for inY in (srcPosBox.getMinY(), srcPosBox.getMaxY()):
destPos = destWcs.skyToPixel(srcWcs.pixelToSky(afwGeom.Point2D(inX, inY)))
destPosBox.include(destPos)
destBBox = afwGeom.Box2I(destPosBox, afwGeom.Box2I.EXPAND)
return destBBox
def testTablePersistence(self):
ellipse = afwGeomEllipses.Ellipse(afwGeomEllipses.Axes(8, 6, 0.25),
afwGeom.Point2D(9, 15))
fp1 = afwDetect.Footprint(ellipse)
fp1.addPeak(6, 7, 2)
fp1.addPeak(8, 9, 3)
with lsst.utils.tests.getTempFilePath(".fits") as tmpFile:
fp1.writeFits(tmpFile)
fp2 = afwDetect.Footprint.readFits(tmpFile)
self.assertEqual(fp1.getArea(), fp2.getArea())
self.assertEqual(list(fp1.getSpans()), list(fp2.getSpans()))
# can't use Peak operator== for comparison because it compares IDs, not positions/values
self.assertEqual(len(fp1.getPeaks()), len(fp2.getPeaks()))
for peak1, peak2 in zip(fp1.getPeaks(), fp2.getPeaks()):
self.assertEqual(peak1.getIx(), peak2.getIx())
self.assertEqual(peak1.getIy(), peak2.getIy())
self.assertEqual(peak1.getFx(), peak2.getFx())
self.assertEqual(peak1.getFy(), peak2.getFy())
self.assertEqual(peak1.getPeakValue(), peak2.getPeakValue())
def setUp(self):
# We create an image that has a ramp (unique values for each pixel),
# with a single high pixel that allows for centering
self.width, self.height = 50, 50
self.xcen, self.ycen = self.width // 2, self.height // 2
self.image = afwImage.ImageF(afwGeom.ExtentI(self.width, self.height))
for y in range(self.height):
for x in range(self.width):
self.image.set(x, y, self.width * y + x)
self.image.set(self.xcen, self.ycen, 1234567.89)
self.exp = afwImage.makeExposure(afwImage.makeMaskedImage(self.image))
self.exp.getMaskedImage().getVariance().set(1.0)
scale = 0.2 / 3600
wcs = afwImage.makeWcs(
afwCoord.Coord(0 * afwGeom.degrees, 0 * afwGeom.degrees),
afwGeom.Point2D(self.xcen, self.ycen), scale, 0, 0, scale)
self.exp.setWcs(wcs)
if display:
frame = 1
ds9.mtv(self.exp, frame=frame, title="Single pixel")
# We will use a NaiveCentroid (peak over 3x3) to tweak the center (it should not, for forced
# measurement) and a NaiveFlux to measure the single pixel. We'll start offset from the high pixel,
# so that a forced measurement should yield a flux of zero, while a measurement that was allowed to
# center should yield a flux of unity.
naiveCentroid = measAlg.NaiveCentroidControl()
naiveFlux = measAlg.NaiveFluxControl()
naiveFlux.radius = 0.5
self.x, self.y = self.xcen - 1, self.ycen - 1
self.foot = afwDetection.Footprint(afwGeom.Point2I(self.x, self.y), 2)
peak = afwDetection.Peak(self.x, self.y)
self.foot.getPeaks().push_back(peak)
schema = afwTable.SourceTable.makeMinimalSchema()
msb = measAlg.MeasureSourcesBuilder()
msb.addAlgorithm(naiveFlux)
msb.setCentroider(naiveCentroid)
self.measurer = msb.build(schema)
self.table = afwTable.SourceTable.make(schema)
self.table.defineCentroid("centroid.naive")
def testMakeTanSipMetadata(self):
"""Test makeTanSipMetadata
"""
crpix = afwGeom.Point2D(
self.metadata.get("CRPIX1") - 1,
self.metadata.get("CRPIX2") - 1)
crval = afwGeom.SpherePoint(
self.metadata.get("CRVAL1") * degrees,
self.metadata.get("CRVAL2") * degrees)
cdMatrix = getCdMatrixFromMetadata(self.metadata)
sipA = getSipMatrixFromMetadata(self.metadata, "A")
sipB = getSipMatrixFromMetadata(self.metadata, "B")
sipAp = getSipMatrixFromMetadata(self.metadata, "AP")
sipBp = getSipMatrixFromMetadata(self.metadata, "BP")
forwardMetadata = makeTanSipMetadata(
crpix=crpix,
crval=crval,
cdMatrix=cdMatrix,
sipA=sipA,
sipB=sipB,
)
self.assertFalse(forwardMetadata.exists("AP_ORDER"))
self.assertFalse(forwardMetadata.exists("BP_ORDER"))
fullMetadata = makeTanSipMetadata(
crpix=crpix,
crval=crval,
cdMatrix=cdMatrix,
sipA=sipA,
sipB=sipB,
sipAp=sipAp,
sipBp=sipBp,
)
for cardName in ("CRPIX1", "CRPIX2", "CRVAL1", "CRVAL2", "CTYPE1",
"CTYPE2", "CUNIT1", "CUNIT2", "RADESYS"):
self.assertTrue(forwardMetadata.exists(cardName))
self.assertTrue(fullMetadata.exists(cardName))
for name, matrix in (("A", sipA), ("B", sipB)):
self.checkSipMetadata(name, matrix, forwardMetadata)
self.checkSipMetadata(name, matrix, fullMetadata)
for name, matrix in (("AP", sipAp), ("BP", sipBp)):
self.checkSipMetadata(name, matrix, fullMetadata)
def loadData(self, rangePix=3000, numPoints=25):
"""Load catalogs and make the match list
This is a separate function so data can be reloaded if fitting more than once
(each time a WCS is fit it may update the source catalog, reference catalog and match list)
"""
if self.MatchClass == afwTable.ReferenceMatch:
refSchema = LoadReferenceObjectsTask.makeMinimalSchema(
filterNameList=["r"], addFluxSigma=True, addIsPhotometric=True)
self.refCat = afwTable.SimpleCatalog(refSchema)
elif self.MatchClass == afwTable.SourceMatch:
refSchema = afwTable.SourceTable.makeMinimalSchema()
self.refCat = afwTable.SourceCatalog(refSchema)
else:
raise RuntimeError("Unsupported MatchClass=%r" % (self.MatchClass,))
srcSchema = afwTable.SourceTable.makeMinimalSchema()
SingleFrameMeasurementTask(schema=srcSchema)
self.srcCoordKey = afwTable.CoordKey(srcSchema["coord"])
self.srcCentroidKey = afwTable.Point2DKey(srcSchema["slot_Centroid"])
self.srcCentroidKey_xSigma = srcSchema["slot_Centroid_xSigma"].asKey()
self.srcCentroidKey_ySigma = srcSchema["slot_Centroid_ySigma"].asKey()
self.sourceCat = afwTable.SourceCatalog(srcSchema)
self.matches = []
for i in np.linspace(0., rangePix, numPoints):
for j in np.linspace(0., rangePix, numPoints):
src = self.sourceCat.addNew()
refObj = self.refCat.addNew()
src.set(self.srcCentroidKey, afwGeom.Point2D(i, j))
src.set(self.srcCentroidKey_xSigma, 0.1)
src.set(self.srcCentroidKey_ySigma, 0.1)
c = self.tanWcs.pixelToSky(i, j)
refObj.setCoord(c)
if False:
print("x,y = (%.1f, %.1f) pixels -- RA,Dec = (%.3f, %.3f) deg" %
(i, j, c.toFk5().getRa().asDegrees(), c.toFk5().getDec().asDegrees()))
self.matches.append(self.MatchClass(refObj, src, 0.0))
def makeLsstExposure(galData, psfData, pixScale, variance):
"""
make an LSST exposure object
Parameters:
galData (ndarray): array of galaxy image
psfData (ndarray): array of PSF image
pixScale (float): pixel scale
variance (float): noise variance
Returns:
exposure: LSST exposure object
"""
if not with_lsst:
raise ImportError('Do not have lsstpipe!')
ny, nx = galData.shape
exposure = afwImg.ExposureF(nx, ny)
exposure.getMaskedImage().getImage().getArray()[:, :] = galData
exposure.getMaskedImage().getVariance().getArray()[:, :] = variance
#Set the PSF
ngridPsf = psfData.shape[0]
psfLsst = afwImg.ImageF(ngridPsf, ngridPsf)
psfLsst.getArray()[:, :] = psfData
psfLsst = psfLsst.convertD()
kernel = afwMath.FixedKernel(psfLsst)
kernelPSF = meaAlg.KernelPsf(kernel)
exposure.setPsf(kernelPSF)
#prepare the wcs
#Rotation
cdelt = (pixScale * afwGeom.arcseconds)
CD = afwGeom.makeCdMatrix(cdelt, afwGeom.Angle(0.)) #no rotation
#wcs
crval = afwGeom.SpherePoint(afwGeom.Angle(0., afwGeom.degrees),
afwGeom.Angle(0., afwGeom.degrees))
#crval = afwCoord.IcrsCoord(0.*afwGeom.degrees, 0.*afwGeom.degrees) # hscpipe6
crpix = afwGeom.Point2D(0.0, 0.0)
dataWcs = afwGeom.makeSkyWcs(crpix, crval, CD)
exposure.setWcs(dataWcs)
#prepare the frc
dataCalib = afwImg.makePhotoCalibFromCalibZeroPoint(63095734448.0194)
exposure.setPhotoCalib(dataCalib)
return exposure
def setUp(self):
metadata = dafBase.PropertySet()
self.crPix = afwGeom.Point2D(15000, 4000)
dimd = afwGeom.Extent2D(4000, 4000)
bboxd = afwGeom.Box2D(self.crPix - dimd / 2, dimd)
self.bbox = afwGeom.Box2I(bboxd)
metadata.set("RADECSYS", 'ICRS')
metadata.set("EQUINOX", 2000.0)
metadata.setDouble("CRVAL1", 215.60)
metadata.setDouble("CRVAL2", 53.16)
metadata.setDouble("CRPIX1", self.crPix[0])
metadata.setDouble("CRPIX2", self.crPix[1])
metadata.set("CTYPE1", "RA---TAN")
metadata.set("CTYPE2", "DEC--TAN")
metadata.setDouble("CD1_1", 5.10808596133527E-05)
metadata.setDouble("CD1_2", 1.85579539217196E-07)
metadata.setDouble("CD2_2", -5.10281493481982E-05)
metadata.setDouble("CD2_1", -8.27440751733828E-07)
self.tanWcs = afwImage.makeWcs(metadata)
def initialWcs(self, matches, wcs):
"""Generate a guess Wcs from the astrometric matches
We create a Wcs anchored at the center of the matches, with the scale
of the input Wcs. This is necessary because matching returns only
matches with no estimated Wcs, and the input Wcs is a wild guess.
We're using the best of each: positions from the matches, and scale
from the input Wcs.
"""
crpix = afwGeom.Extent2D(0, 0)
crval = lsst.sphgeom.Vector3d(0, 0, 0)
for mm in matches:
crpix += afwGeom.Extent2D(mm.second.getCentroid())
crval += mm.first.getCoord().getVector()
crpix /= len(matches)
crval /= len(matches)
newWcs = afwGeom.makeSkyWcs(crpix=afwGeom.Point2D(crpix),
crval=afwGeom.SpherePoint(crval),
cdMatrix=wcs.getCdMatrix())
return newWcs
def testNaiveMeasure(self):
mi = afwImage.MaskedImageF(afwGeom.ExtentI(100, 200))
mi.set(10)
#
# Create our measuring engine
#
exp = afwImage.makeExposure(mi)
x0, y0 = 1234, 5678
exp.setXY0(afwGeom.Point2I(x0, y0))
control = measAlg.NaiveFluxControl()
control.radius = 10.0
schema = afwTable.SourceTable.makeMinimalSchema()
mp = measAlg.MeasureSourcesBuilder().addAlgorithm(control).build(
schema)
table = afwTable.SourceTable.make(schema)
source = table.makeRecord()
mp.apply(source, exp, afwGeom.Point2D(30 + x0, 50 + y0))
flux = 3170.0
self.assertEqual(source.get(control.name), flux)
def makeWcs(ctr_coord,
ctr_pix=afwGeom.Point2D(2036., 2000.),
pixel_scale=2 * afwGeom.arcseconds,
pos_angle=afwGeom.Angle(0.0)):
"""Make a simple TAN WCS
@param[in] ctr_coord sky coordinate at ctr_pix
@param[in] ctr_pix center pixel; an lsst.afw.geom.Point2D; default matches LSST
@param[in] pixel_scale desired scale, as sky/pixel; an lsst.afw.geom.Angle; default matches LSST
@param[in] pos_angle orientation of CCD w.r.t. ctr_coord, an lsst.afw.geom.Angle
"""
pos_angleRad = pos_angle.asRadians()
pixel_scaleDeg = pixel_scale.asDegrees()
cdMat = np.array([[math.cos(pos_angleRad),
math.sin(pos_angleRad)],
[-math.sin(pos_angleRad),
math.cos(pos_angleRad)]],
dtype=float) * pixel_scaleDeg
return lsst.afw.image.makeWcs(ctr_coord, ctr_pix, cdMat[0, 0], cdMat[0, 1],
cdMat[1, 0], cdMat[1, 1])