def get_sky_boundary(bbox, wcs):
begin_x, begin_y = bbox.beginX, bbox.beginY
end_x, end_y = bbox.endX, bbox.endY
sky_00 = geom.SpherePoint(wcs.pixelToSky(begin_x, begin_y))
sky_01 = geom.SpherePoint(wcs.pixelToSky(begin_x, end_y))
sky_10 = geom.SpherePoint(wcs.pixelToSky(end_x, begin_y))
sky_11 = geom.SpherePoint(wcs.pixelToSky(end_x, end_y))
ras = np.array([
sky_00.getRa().asDegrees(),
sky_01.getRa().asDegrees(),
sky_10.getRa().asDegrees(),
sky_11.getRa().asDegrees()
])
ras.sort()
decs = np.array([
sky_00.getDec().asDegrees(),
sky_01.getDec().asDegrees(),
sky_10.getDec().asDegrees(),
sky_11.getDec().asDegrees()
])
decs.sort()
radec_dict = {
'begin_ra': ras[1],
'end_ra': ras[2],
'begin_dec': decs[1],
'end_dec': decs[2]
}
return radec_dict
def make_afw_coords(coord_list):
"""
Convert list of ra and dec to lsst.afw.coord.IcrsCoord.
Parameters
----------
coord_list : list of tuples or tuple
ra and dec in degrees.
Returns
-------
afw_coords : list of lsst.afw.coord.IcrsCoord
"""
if type(coord_list[0]) in (float, int, np.float64):
ra, dec = coord_list
afw_coords = geom.SpherePoint(geom.Angle(ra, geom.degrees),
geom.Angle(dec, geom.degrees))
else:
afw_coords = [
geom.SpherePoint(geom.Angle(ra, geom.degrees),
geom.Angle(dec, geom.degrees))
for ra, dec in coord_list
]
return afw_coords
def coordFromVec(vec, defRA=None):
"""Convert an ICRS cartesian vector to an ICRS lsst.geom.SpherePoint
Parameters
----------
vec : `list` of `float`
An ICRS catesian vector.
defRA : `lsst.geom.Angle` or None
The RA to use if the vector is too near a pole;
ignored if not near a pole.
Raises
------
RuntimeError
If vec too near a pole and defRA is None.
"""
if abs(vec[0]) < _TinyFloat and abs(vec[1]) < _TinyFloat:
if defRA is None:
raise RuntimeError("At pole and defRA==None")
if vec[2] > 0:
decDeg = 90.0
else:
decDeg = -90.0
return geom.SpherePoint(defRA, decDeg * geom.degrees)
return geom.SpherePoint(lsst.sphgeom.Vector3d(*vec))
def setUp(self):
rawPath = os.path.join(testDataDirectory, "hsc", "raw")
calibPath = os.path.join(testDataDirectory, "hsc", "calib")
self.repoPath = createDataRepository("lsst.obs.hsc.HscMapper", rawPath,
calibPath)
self.butler = dafPersist.Butler(root=self.repoPath,
calibRoot=calibPath)
# The following properties of the provided data are known a priori.
self.visit = 904024
self.ccdNum = 50
self.filter = 'i'
self.rawSize = (2144, 4241)
self.ccdSize = (2048, 4176)
self.exptime = 30.0
self.darktime = self.exptime # No explicit darktime
self.dateAvg = DateTime(56598.26165414352, DateTime.MJD, DateTime.TAI)
self.boresightRaDec = geom.SpherePoint(320.7499250000, 0.500019444,
degrees)
self.boresightAzAlt = geom.SpherePoint(226.68922661, 63.04359233,
degrees)
self.boresightAirmass = 1.121626027604189
self.boresightRotAngle = 270.0 * degrees
self.rotType = RotType.SKY
self.obs_longitude = -155.476667 * degrees
self.obs_latitude = 19.825556 * degrees
self.obs_elevation = 4139
self.weath_airTemperature = -0.8
self.weath_airPressure = 62170.
self.weath_humidity = 33.1
# NOTE: if we deal with DM-8053 and get UT1 implemented, ERA will
# change slightly.
self.era = 2.3659570321481826 * radians
def testFindTract(self):
"""Test the SkyMap.findTract method
"""
for numTracts in (2, 4):
config = EquatSkyMap.ConfigClass()
config.numTracts = numTracts
skyMap = EquatSkyMap(config)
decRange = skyMap.config.decRange
decList = (
(decRange[0] * 0.999) + (decRange[1] * 0.901),
(decRange[0] * 0.500) + (decRange[1] * 0.500),
(decRange[0] * 0.091) + (decRange[1] * 0.999),
)
for tractInfo0 in skyMap:
tractId0 = tractInfo0.getId()
ctrCoord0 = tractInfo0.getCtrCoord()
for tractInfo1 in self.getNeighborTracts(skyMap, tractId0):
tractId1 = tractInfo1.getId()
ctrCoord1 = tractInfo1.getCtrCoord()
for deltaFrac in (-0.001, 0.001):
v0 = ctrCoord0.getVector() * (0.5 + deltaFrac)
v1 = ctrCoord1.getVector() * (0.5 - deltaFrac)
testVec = v0 + v1
testRa = geom.SpherePoint(testVec).getRa()
if deltaFrac > 0.0:
expectedTractId = tractId0
else:
expectedTractId = tractId1
for testDecDeg in decList:
testDec = geom.Angle(testDecDeg, geom.degrees)
testCoord = geom.SpherePoint(testRa, testDec)
nearestTractInfo = skyMap.findTract(testCoord)
nearestTractId = nearestTractInfo.getId()
self.assertEqual(nearestTractId, expectedTractId)
patchInfo = nearestTractInfo.findPatch(testCoord)
pixelInd = geom.Point2I(nearestTractInfo.getWcs().skyToPixel(testCoord))
self.assertTrue(patchInfo.getInnerBBox().contains(pixelInd))
# find a point outside the tract and make sure it fails
tractInfo = tractInfo0
wcs = tractInfo.getWcs()
bbox = geom.Box2D(tractInfo.getBBox())
outerPixPosList = [
bbox.getMin() - geom.Extent2D(1, 1),
geom.Point2D(bbox.getMaxX(), bbox.getMinY()) - geom.Extent2D(1, 1),
bbox.getMax() + geom.Extent2D(1, 1),
geom.Point2D(bbox.getMinX(), bbox.getMaxY()) + geom.Extent2D(1, 1),
]
for outerPixPos in outerPixPosList:
testCoord = wcs.pixelToSky(outerPixPos)
self.assertRaises(LookupError, tractInfo.findPatch, testCoord)
def calculateAstropyDcr(visitInfo, wcs, filterInfo, dcrNumSubfilters):
"""Calculate the DCR shift using astropy coordinate transformations.
Parameters
----------
visitInfo : `lsst.afw.image.VisitInfo`
VisitInfo for the exposure.
wcs : `lsst.afw.geom.skyWcs.SkyWcs`
A wcs that matches the inputs.
filterInfo : `lsst.afw.image.Filter`
The filter definition, set in the current instruments' obs package.
dcrNumSubfilters : `int`
Number of sub-filters used to model chromatic effects within a band.
Returns
-------
dcrShift : `tuple` of two `float`
The 2D shift due to DCR, in pixels.
Uses numpy axes ordering (Y, X).
"""
elevation = visitInfo.getBoresightAzAlt().getLatitude()
azimuth = visitInfo.getBoresightAzAlt().getLongitude()
lambdaEff = filterInfo.getFilterProperty().getLambdaEff()
loc = EarthLocation(lat=visitInfo.getObservatory().getLatitude().asDegrees()*u.degree,
lon=visitInfo.getObservatory().getLongitude().asDegrees()*u.degree,
height=visitInfo.getObservatory().getElevation()*u.m)
date = visitInfo.getDate()
time = Time(date.get(date.MJD, date.TAI), format='mjd', location=loc, scale='tai')
altaz = SkyCoord(alt=elevation.asDegrees(), az=azimuth.asDegrees(),
unit='deg', obstime=time, frame='altaz', location=loc)
# The DCR calculations are performed at the boresight
ra0 = altaz.icrs.ra.degree*degrees
dec0 = altaz.icrs.dec.degree*degrees
x0, y0 = wcs.skyToPixel(geom.SpherePoint(ra0, dec0))
dcrShift = []
# We divide the filter into "subfilters" with the full wavelength range
# divided into equal sub-ranges.
for wl0, wl1 in wavelengthGenerator(filterInfo, dcrNumSubfilters):
# Note that diffRefractAmp can be negative,
# since it is relative to the midpoint of the full band
diffRefractAmp0 = differentialRefraction(wavelength=wl0, wavelengthRef=lambdaEff,
elevation=elevation,
observatory=visitInfo.getObservatory(),
weather=visitInfo.getWeather())
diffRefractAmp1 = differentialRefraction(wavelength=wl1, wavelengthRef=lambdaEff,
elevation=elevation,
observatory=visitInfo.getObservatory(),
weather=visitInfo.getWeather())
diffRefractAmp = (diffRefractAmp0 + diffRefractAmp1)/2.
elevation1 = elevation + diffRefractAmp
altaz = SkyCoord(alt=elevation1.asDegrees(), az=azimuth.asDegrees(),
unit='deg', obstime=time, frame='altaz', location=loc)
ra1 = altaz.icrs.ra.degree*degrees
dec1 = altaz.icrs.dec.degree*degrees
x1, y1 = wcs.skyToPixel(geom.SpherePoint(ra1, dec1))
dcrShift.append((y1-y0, x1-x0))
return dcrShift
def testRun(self):
"""Test the run method.
"""
fakesConfig = CreateRandomApFakesConfig()
fakesConfig.fraction = 0.5
fakesConfig.fakeDensity = self.sourceDensity
fakesTask = CreateRandomApFakesTask(config=fakesConfig)
bCircle = self.simpleMap.generateTract(self.tractId).getInnerSkyPolygon().getBoundingCircle()
result = fakesTask.run(self.tractId, self.simpleMap)
fakeCat = result.fakeCat
self.assertEqual(len(fakeCat), self.nSources)
for idx, row in fakeCat.iterrows():
self.assertTrue(
bCircle.contains(
geom.SpherePoint(row[fakesTask.config.raColName],
row[fakesTask.config.decColName],
geom.radians).getVector()))
self.assertEqual(fakeCat[fakesConfig.visitSourceFlagCol].sum(),
self.nInVisit)
self.assertEqual(fakeCat[fakesConfig.templateSourceFlagCol].sum(),
self.nInTemplate)
for f in fakesConfig.filterSet:
filterMags = fakeCat[fakesConfig.magVar % f]
self.assertEqual(self.nSources, len(filterMags))
self.assertTrue(
np.all(fakesConfig.magMin <= filterMags))
self.assertTrue(
np.all(fakesConfig.magMax > filterMags))
def generateTract(self, index):
"""Generate TractInfo for the specified tract index."""
center = geom.SpherePoint(self.config.raList[index], self.config.decList[index], geom.degrees)
radius = self.config.radiusList[index]
wcs = self._wcsFactory.makeWcs(crPixPos=geom.Point2D(0, 0), crValCoord=center)
return ExplicitTractInfo(index, self.config.patchInnerDimensions, self.config.patchBorder, center,
radius*geom.degrees, self.config.tractOverlap*geom.degrees, wcs)
def make_stamps(n_stamps=3):
stampSize = 25
# create dummy stamp stamps
stampImages = [
afwImage.maskedImage.MaskedImageF(stampSize, stampSize)
for _ in range(n_stamps)
]
for stampIm in stampImages:
stampImArray = stampIm.image.array
stampImArray += np.random.rand(stampSize, stampSize)
stampMaskArray = stampIm.mask.array
stampMaskArray += 10
stampVarArray = stampIm.variance.array
stampVarArray += 1000.
ras = np.random.rand(n_stamps) * 360.
decs = np.random.rand(n_stamps) * 180 - 90
stamp_list = [
stamps.Stamp(stamp_im=stampIm,
position=geom.SpherePoint(geom.Angle(ra, geom.degrees),
geom.Angle(dec, geom.degrees)))
for stampIm, ra, dec in zip(stampImages, ras, decs)
]
metadata = PropertyList()
metadata['RA_DEG'] = ras
metadata['DEC_DEG'] = decs
return stamps.Stamps(stamp_list, metadata=metadata)
def averageRaDec(ra, dec):
"""Calculate average RA, Dec from input lists using spherical geometry.
Parameters
----------
ra : `list` [`float`]
RA in [radians]
dec : `list` [`float`]
Dec in [radians]
Returns
-------
float, float
meanRa, meanDec -- Tuple of average RA, Dec [radians]
"""
assert (len(ra) == len(dec))
angleRa = [geom.Angle(r, geom.radians) for r in ra]
angleDec = [geom.Angle(d, geom.radians) for d in dec]
coords = [
geom.SpherePoint(ar, ad, geom.radians)
for (ar, ad) in zip(angleRa, angleDec)
]
meanRa, meanDec = geom.averageSpherePoint(coords)
return meanRa.asRadians(), meanDec.asRadians()
def _convert_from_pandas(self, input_objects):
"""Create minimal schema SourceCatalog from a pandas DataFrame.
We need a catalog of this type to run within the forced measurement
subtask.
Parameters
----------
input_objects : `pandas.DataFrame`
DiaObjects with locations and ids. ``
Returns
-------
outputCatalog : `lsst.afw.table.SourceTable`
Output catalog with minimal schema.
"""
schema = afwTable.SourceTable.makeMinimalSchema()
outputCatalog = afwTable.SourceCatalog(schema)
outputCatalog.reserve(len(input_objects))
for obj_id, df_row in input_objects.iterrows():
outputRecord = outputCatalog.addNew()
outputRecord.setId(obj_id)
outputRecord.setCoord(
geom.SpherePoint(df_row["ra"],
df_row["decl"],
geom.degrees))
return outputCatalog
def make_stamps(n_stamps=3, use_archive=False):
stampSize = 25
# create dummy stamp stamps
stampImages = [
afwImage.maskedImage.MaskedImageF(stampSize, stampSize)
for _ in range(n_stamps)
]
for stampIm in stampImages:
stampImArray = stampIm.image.array
stampImArray += np.random.rand(stampSize, stampSize)
stampMaskArray = stampIm.mask.array
stampMaskArray += 10
stampVarArray = stampIm.variance.array
stampVarArray += 1000.
ras = np.random.rand(n_stamps) * 360.
decs = np.random.rand(n_stamps) * 180 - 90
archive_elements = [
tF.makeTransform(geom.AffineTransform(np.random.rand(2)))
if use_archive else None for _ in range(n_stamps)
]
stamp_list = [
stamps.Stamp(stamp_im=stampIm,
position=geom.SpherePoint(geom.Angle(ra, geom.degrees),
geom.Angle(dec, geom.degrees)),
archive_element=ae) for stampIm, ra, dec, ae in zip(
stampImages, ras, decs, archive_elements)
]
metadata = PropertyList()
metadata['RA_DEG'] = ras
metadata['DEC_DEG'] = decs
return stamps.Stamps(stamp_list, metadata=metadata, use_archive=True)
def test_coadd_transmission_curves(self):
"""Test that coadded TransmissionCurves agree with the inputs."""
wavelengths = np.linspace(4000, 7000, 10)
n_object_test = 10
ctx = np.random.RandomState(12345)
for band in self._bands:
n_tested = 0
exp = self.butler.get("deepCoadd_calexp", band=band, tract=self._tract, patch=self._patch)
cat = self.butler.get("objectTable", band=band, tract=self._tract, patch=self._patch)
transmission_curve = exp.getInfo().getTransmissionCurve()
coadd_inputs = exp.getInfo().getCoaddInputs().ccds
wcs = exp.getWcs()
to_check = ctx.choice(len(cat), size=n_object_test, replace=False)
for index in to_check:
coadd_coord = geom.SpherePoint(cat["coord_ra"].values[index]*geom.degrees,
cat["coord_dec"].values[index]*geom.degrees)
summed_throughput = np.zeros(wavelengths.shape, dtype=np.float64)
weight_sum = 0.0
for rec in coadd_inputs.subsetContaining(coadd_coord, includeValidPolygon=True):
det_pos = rec.getWcs().skyToPixel(coadd_coord)
det_trans = rec.getTransmissionCurve()
weight = rec.get("weight")
summed_throughput += det_trans.sampleAt(det_pos, wavelengths)*weight
weight_sum += weight
if weight_sum == 0.0:
continue
summed_throughput /= weight_sum
coadd_pos = wcs.skyToPixel(coadd_coord)
coadd_throughput = transmission_curve.sampleAt(coadd_pos, wavelengths)
np.testing.assert_array_almost_equal(coadd_throughput, summed_throughput)
n_tested += 1
self.assertGreater(n_tested, 5)
def computeReferencePixelScale(camera):
"""
Compute the median pixel scale in the camera
Returns
-------
pixelScale: `float`
Average pixel scale (arcsecond) over the camera
"""
boresight = geom.SpherePoint(180.0*geom.degrees, 0.0*geom.degrees)
orientation = 0.0*geom.degrees
flipX = False
# Create a temporary visitInfo for input to createInitialSkyWcs
visitInfo = afwImage.VisitInfo(boresightRaDec=boresight,
boresightRotAngle=orientation,
rotType=afwImage.visitInfo.RotType.SKY)
pixelScales = np.zeros(len(camera))
for i, detector in enumerate(camera):
wcs = createInitialSkyWcs(visitInfo, detector, flipX)
pixelScales[i] = wcs.getPixelScale().asArcseconds()
ok, = np.where(pixelScales > 0.0)
return np.median(pixelScales[ok])
def _trimToPatch(self, cat, innerPatchBox, wcs):
"""Create generator testing if a set of DiaSources are in the
patch/tract.
Parameters
----------
cat : `pandas.DataFrame`
Catalog of DiaSources to test within patch/tract.
innerPatchBox : `lsst.geom.Box2D`
Bounding box of the patch.
wcs : `lsst.geom.SkyWcs`
Wcs of the tract.
Returns
------
isInPatch : `numpy.ndarray`, (N,)
Booleans representing if the DiaSources are contained within the
current patch and tract.
"""
isInPatch = np.array([
innerPatchBox.contains(
wcs.skyToPixel(
geom.SpherePoint(row["ra"], row["decl"], geom.degrees)))
for idx, row in cat.iterrows()])
return isInPatch
def makeDummyWcs(self,
rotAngle=None,
pixelScale=None,
crval=None,
flipX=True):
"""Make a World Coordinate System object for testing.
Parameters
----------
rotAngle : `lsst.geom.Angle`
Rotation of the CD matrix, East from North
pixelScale : `lsst.geom.Angle`
Pixel scale of the projection.
crval : `lsst.afw.geom.SpherePoint`
Coordinates of the reference pixel of the wcs.
flipX : `bool`, optional
Flip the direction of increasing Right Ascension.
Returns
-------
wcs : `lsst.afw.geom.skyWcs.SkyWcs`
A wcs that matches the inputs.
"""
if rotAngle is None:
rotAngle = self.rotAngle
if pixelScale is None:
pixelScale = self.pixelScale
if crval is None:
crval = geom.SpherePoint(self.ra, self.dec)
crpix = geom.Box2D(self.bbox).getCenter()
cdMatrix = afwGeom.makeCdMatrix(scale=pixelScale,
orientation=rotAngle,
flipX=flipX)
wcs = afwGeom.makeSkyWcs(crpix=crpix, crval=crval, cdMatrix=cdMatrix)
return wcs
def makeMatches(self, refCat, srcCat, nSrc):
for i in range(nSrc):
refSrc = refCat.addNew()
srcSrc = srcCat.addNew()
raDeg, decDeg = np.random.randn(2)
coord = geom.SpherePoint(raDeg, decDeg, geom.degrees)
refSrc.set("g_flux", 10**(-0.4 * 18))
refSrc.set("r_flux", 10**(-0.4 * 18))
refSrc.set("resolved", False)
refSrc.set("photometric", True)
refSrc.setCoord(coord)
srcSrc.setCoord(coord)
srcSrc.set("slot_PsfFlux_instFlux", 10.)
srcSrc.set("slot_PsfFlux_instFluxErr", 1.)
for flag in self.sourceSelector.config.badFlags:
srcSrc.set(flag, False)
mc = afwTable.MatchControl()
mc.symmetricMatch = False
mat = afwTable.matchRaDec(refCat, srcCat, 1.0 * geom.arcseconds, mc)
self.assertEqual(len(mat), nSrc)
return mat
def _transformAndCheck(self, measConf, schema, transformTask):
"""Check the results of applying transformTask to a SourceCatalog.
@param[in] measConf Measurement plugin configuration.
@param[in] schema Input catalog schema.
@param[in] transformTask Instance of TransformTask to be applied.
For internal use by this test case.
"""
# There should now be one transformation registered per measurement plugin.
self.assertEqual(len(measConf.plugins.names),
len(transformTask.transforms))
# Rather than do a real measurement, we use a dummy source catalog
# containing a source at an arbitrary position.
inCat = afwTable.SourceCatalog(schema)
r = inCat.addNew()
r.setCoord(geom.SpherePoint(0.0, 11.19, geom.degrees))
r[PLUGIN_NAME] = 1.0
wcs, photoCalib = Placeholder(), Placeholder()
outCat = transformTask.run(inCat, wcs, photoCalib)
# Check that all sources have been transformed appropriately.
for inSrc, outSrc in zip(inCat, outCat):
self.assertEqual(outSrc[PLUGIN_NAME], inSrc[PLUGIN_NAME])
self.assertEqual(outSrc[PLUGIN_NAME + "_transform"],
inSrc[PLUGIN_NAME] * -1.0)
for field in transformTask.config.toDict()['copyFields']:
self.assertEqual(outSrc.get(field), inSrc.get(field))
# Check that the wcs and photoCalib objects were accessed once per transform.
self.assertEqual(wcs.count, len(transformTask.transforms))
self.assertEqual(photoCalib.count, len(transformTask.transforms))
def testMakeAlertDict(self):
"""Test stripping data from the various data products and into a
dictionary "alert".
"""
packageAlerts = PackageAlertsTask()
alertId = 1234
for srcIdx, diaSource in self.diaSources.iterrows():
sphPoint = geom.SpherePoint(diaSource["ra"], diaSource["decl"],
geom.degrees)
cutout = self.exposure.getCutout(
sphPoint, geom.Extent2I(self.cutoutSize, self.cutoutSize))
ccdCutout = packageAlerts.createCcdDataCutout(
cutout, sphPoint,
geom.Extent2I(self.cutoutSize, self.cutoutSize),
cutout.getPhotoCalib(), 1234)
cutoutBytes = packageAlerts.streamCcdDataToBytes(ccdCutout)
objSources = self.diaSourceHistory.loc[srcIdx[0]]
objForcedSources = self.diaForcedSources.loc[srcIdx[0]]
alert = packageAlerts.makeAlertDict(alertId, diaSource,
self.diaObjects.loc[srcIdx[0]],
objSources, objForcedSources,
ccdCutout, ccdCutout)
self.assertEqual(len(alert), 9)
self.assertEqual(alert["alertId"], alertId)
self.assertEqual(alert["diaSource"], diaSource.to_dict())
self.assertEqual(alert["cutoutDifference"], cutoutBytes)
self.assertEqual(alert["cutoutTemplate"], cutoutBytes)
def __init__(self, camera, defaultOrientation):
self.camera = camera
# Put the reference boresight at the equator to avoid cos(dec) problems.
self.boresight = geom.SpherePoint(180.0 * geom.degrees,
0.0 * geom.degrees)
self.flipX = False
self.defaultOrientation = int(defaultOrientation) % 360
def create_test_points_pandas(point_locs_deg,
wcs=None,
start_id=0,
schema=None,
scatter_arcsec=1.0,
indexer_ids=None,
associated_ids=None):
"""Create dummy DIASources or DIAObjects for use in our tests.
Parameters
----------
point_locs_deg : array-like (N, 2) of `float`s
Positions of the test points to create in RA, DEC.
wcs : `lsst.afw.geom.SkyWcs`
Wcs to convert RA/Dec to x/y if provided.
start_id : `int`
Unique id of the first object to create. The remaining sources are
incremented by one from the first id.
schema : `lsst.afw.table.Schema`
Schema of the objects to create. Defaults to the DIASource schema.
scatter_arcsec : `float`
Scatter to add to the position of each DIASource.
indexer_ids : `list` of `ints`s
Id numbers of pixelization indexer to store. Must be the same length
as the first dimension of point_locs_deg.
associated_ids : `list` of `ints`s
Id numbers of associated DIAObjects to store. Must be the same length
as the first dimension of point_locs_deg.
Returns
-------
test_points : `pandas.DataFrame`
Catalog of points to test.
"""
if schema is None:
schema = make_dia_source_schema()
sources = afwTable.SourceCatalog(schema)
for src_idx, (ra, dec,) in enumerate(point_locs_deg):
src = sources.addNew()
src['id'] = src_idx + start_id
coord = geom.SpherePoint(ra, dec, geom.degrees)
if scatter_arcsec > 0.0:
coord = coord.offset(
np.random.rand() * 360 * geom.degrees,
np.random.rand() * scatter_arcsec * geom.arcseconds)
if indexer_ids is not None:
src['pixelId'] = indexer_ids[src_idx]
if associated_ids is not None:
src['diaObjectId'] = associated_ids[src_idx]
src.setCoord(coord)
if wcs is not None:
xyCentroid = wcs.skykToPixel(coord)
src.set("x", xyCentroid.getX())
src.set("y", xyCentroid.getY())
sources = sources.asAstropy().to_pandas()
return sources
def in_image(ra, dec, wcs, bbox, offset):
radec = geom.SpherePoint(ra, dec, geom.degrees)
xy = wcs.skyToPixel(radec)
phy_x, phy_y = xy.getX(), xy.getY()
if bbox.beginX + offset <= phy_x and bbox.endX - offset >= phy_x and \
bbox.beginY + offset <= phy_y and bbox.endY - offset >= phy_y:
return True
else:
return False
def testTractContains(self):
"""Test that TractInfo.contains works"""
skyMap = self.getSkyMap()
for tract in skyMap:
coord = tract.getCtrCoord()
self.assertTrue(tract.contains(coord))
opposite = geom.SpherePoint(coord.getLongitude() + 12 * geom.hours,
-1 * coord.getLatitude())
self.assertFalse(tract.contains(opposite))
def angToCoord(thetaphi):
"""Convert healpy's ang to an lsst.geom.SpherePoint
The ang is provided as a single object, thetaphi, so the output
of healpy functions can be directed to this function without
additional translation.
"""
return geom.SpherePoint(float(thetaphi[1]),
float(thetaphi[0] - 0.5 * numpy.pi), geom.radians)
def makeitLsst(prefs, context, saveWcs=False, plot=dict()):
"""This is the python wrapper that reads lsst tables
"""
# Create an array of PSFs (one PSF for each extension)
if prefs.getVerboseType() != prefs.QUIET:
print("----- %d input catalogues:" % prefs.getNcat())
if saveWcs: # only needed for making plots
wcssList = []
fields = psfexLib.vectorField()
for cat in prefs.getCatalogs():
field = psfexLib.Field(cat)
wcss = []
wcssList.append(wcss)
with fits.open(cat):
# Hack: I want the WCS so I'll guess where the calexp is to be
# found
calexpFile = guessCalexp(cat)
md = readMetadata(calexpFile)
wcs = afwGeom.makeSkyWcs(md)
if not wcs:
cdMatrix = np.array([1.0, 0.0, 0.0, 1.0])
cdMatrix.shape = (2, 2)
wcs = afwGeom.makeSkyWcs(crpix=geom.PointD(0, 0),
crval=geom.SpherePoint(
0.0, 0.0, geom.degrees),
cdMatrix=cdMatrix)
naxis1, naxis2 = md.getScalar("NAXIS1"), md.getScalar("NAXIS2")
# Find how many rows there are in the catalogue
md = readMetadata(cat)
field.addExt(wcs, naxis1, naxis2, md.getScalar("NAXIS2"))
if saveWcs:
wcss.append((wcs, naxis1, naxis2))
field.finalize()
fields.append(field)
fields[0].getNext() # number of extensions
prefs.getPsfStep()
sets = psfexLib.vectorSet()
for set in load_samplesLsst(prefs, context, plot=plot):
sets.append(set)
psfexLib.makeit(fields, sets)
ret = [[f.getPsfs() for f in fields], sets]
if saveWcs:
ret.append(wcssList)
return ret
def validate(xs, ys, mapper, wcs):
dists = []
for i in range(len(xs)):
tuple1 = mapper.xyToRaDec(xs[i], ys[i])
coord1 = geom.SpherePoint(tuple1[0], tuple1[1], geom.radians)
coord2 = wcs.pixelToSky(xs[i], ys[i])
dist = coord1.separation(coord2).asArcseconds()
dists.append(dist)
print(np.mean(dists), np.std(dists))
def makeVisitInfo():
"""Return a non-NaN visitInfo."""
return afwImage.VisitInfo(
exposureId=10313423,
exposureTime=10.01,
darkTime=11.02,
date=dafBase.DateTime(65321.1, dafBase.DateTime.MJD,
dafBase.DateTime.TAI),
ut1=12345.1,
era=45.1 * geom.degrees,
boresightRaDec=geom.SpherePoint(23.1, 73.2, geom.degrees),
boresightAzAlt=geom.SpherePoint(134.5, 33.3, geom.degrees),
boresightAirmass=1.73,
boresightRotAngle=73.2 * geom.degrees,
rotType=afwImage.RotType.SKY,
observatory=Observatory(11.1 * geom.degrees, 22.2 * geom.degrees,
0.333),
weather=Weather(1.1, 2.2, 34.5),
)
def runMeasurement(self, algorithmName, imageid, x, y, v):
"""Run the measurement algorithm on an image"""
# load the test image
imgFile = os.path.join(self.dataDir, "image.%d.fits" % imageid)
img = afwImage.ImageF(imgFile)
img -= self.bkgd
nx, ny = img.getWidth(), img.getHeight()
msk = afwImage.Mask(geom.Extent2I(nx, ny), 0x0)
var = afwImage.ImageF(geom.Extent2I(nx, ny), v)
mimg = afwImage.MaskedImageF(img, msk, var)
msk.getArray()[:] = np.where(np.fabs(img.getArray()) < 1.0e-8, msk.getPlaneBitMask("BAD"), 0)
# Put it in a bigger image, in case it matters
big = afwImage.MaskedImageF(self.offset + mimg.getDimensions())
big.getImage().set(0)
big.getMask().set(0)
big.getVariance().set(v)
subBig = afwImage.MaskedImageF(big, geom.Box2I(big.getXY0() + self.offset, mimg.getDimensions()))
subBig <<= mimg
mimg = big
mimg.setXY0(self.xy0)
exposure = afwImage.makeExposure(mimg)
cdMatrix = np.array([1.0/(2.53*3600.0), 0.0, 0.0, 1.0/(2.53*3600.0)])
cdMatrix.shape = (2, 2)
exposure.setWcs(afwGeom.makeSkyWcs(crpix=geom.Point2D(1.0, 1.0),
crval=geom.SpherePoint(0, 0, geom.degrees),
cdMatrix=cdMatrix))
# load the corresponding test psf
psfFile = os.path.join(self.dataDir, "psf.%d.fits" % imageid)
psfImg = afwImage.ImageD(psfFile)
psfImg -= self.bkgd
kernel = afwMath.FixedKernel(psfImg)
kernelPsf = algorithms.KernelPsf(kernel)
exposure.setPsf(kernelPsf)
# perform the shape measurement
msConfig = base.SingleFrameMeasurementConfig()
alg = base.SingleFramePlugin.registry[algorithmName].PluginClass.AlgClass
control = base.SingleFramePlugin.registry[algorithmName].PluginClass.ConfigClass().makeControl()
msConfig.algorithms.names = [algorithmName]
# Note: It is essential to remove the floating point part of the position for the
# Algorithm._apply. Otherwise, when the PSF is realised it will have been warped
# to account for the sub-pixel offset and we won't get *exactly* this PSF.
plugin, table = makePluginAndCat(alg, algorithmName, control, centroid="centroid")
center = geom.Point2D(int(x), int(y)) + geom.Extent2D(self.offset + geom.Extent2I(self.xy0))
source = table.makeRecord()
source.set("centroid_x", center.getX())
source.set("centroid_y", center.getY())
source.setFootprint(afwDetection.Footprint(afwGeom.SpanSet(exposure.getBBox(afwImage.PARENT))))
plugin.measure(source, exposure)
return source
def vizierLocationForTarget(exp, target, doMotionCorrection):
"""Get the target location from Vizier optionally correction motion.
Parameters
----------
target : `str`
The name of the target, e.g. 'HD 55852'
Returns
-------
targetLocation : `lsst.geom.SpherePoint` or `None`
Location of the target object, optionally corrected for
proper motion and parallax.
Raises
------
ValueError
If object not found in Hipparcos2 via Vizier.
This is quite common, even for bright objects.
"""
# do not import at the module level - tests crash due to a race
# condition with directory creation
from astroquery.vizier import Vizier
result = Vizier.query_object(
target) # result is an empty table list for an unknown target
try:
star = result['I/311/hip2']
except TypeError: # if 'I/311/hip2' not in result (result doesn't allow easy checking without a try)
raise ValueError
epoch = "J1991.25"
coord = SkyCoord(
ra=star[0]['RArad'] * u.Unit(star['RArad'].unit),
dec=star[0]['DErad'] * u.Unit(star['DErad'].unit),
obstime=epoch,
pm_ra_cosdec=star[0]['pmRA'] *
u.Unit(star['pmRA'].unit), # NB contains cosdec already
pm_dec=star[0]['pmDE'] * u.Unit(star['pmDE'].unit),
distance=Distance(parallax=star[0]['Plx'] * u.Unit(star['Plx'].unit)))
if doMotionCorrection:
expDate = exp.getInfo().getVisitInfo().getDate()
obsTime = astropy.time.Time(expDate.get(expDate.EPOCH),
format='jyear',
scale='tai')
newCoord = coord.apply_space_motion(new_obstime=obsTime)
else:
newCoord = coord
raRad, decRad = newCoord.ra.rad, newCoord.dec.rad
ra = geom.Angle(raRad)
dec = geom.Angle(decRad)
targetLocation = geom.SpherePoint(ra, dec)
return targetLocation
def make_cutout(exposure, x, y, cutout_size=60):
"""Make a cutout exposure at (x, y) pixel coordinate.
exposure: lsst.afw.image.exposure.exposure.ExposureF
x: x pixel coordinate
y: y pixel coordinate
cutout_size: Width(in pixel unit) of the postage stamp , default value is 60
"""
cutout_extent = geom.ExtentI(cutout_size, cutout_size)
radec = geom.SpherePoint(exposure.getWcs().pixelToSky(x, y))
cutout_image = exposure.getCutout(radec, cutout_extent)
return cutout_image
