def __call__(self, md, exposureId):
"""Construct a VisitInfo and strip associated data from the metadata.
Parameters
----------
md : `lsst.daf.base.PropertyList` or `lsst.daf.base.PropertySet`
Metadata to pull from.
Items that are used are stripped from the metadata (except TIMESYS,
because it may apply to other keywords).
exposureId : `int`
exposure ID
Notes
-----
The basic implementation sets `date` and `exposureTime` using typical values
found in FITS files and logs a warning if neither can be set.
"""
argDict = dict(exposureId=exposureId)
self.setArgDict(md, argDict)
for key in list(
argDict.keys()): # use a copy because we may delete items
if argDict[key] is None:
self.log.warn("argDict[{}] is None; stripping".format(
key, argDict[key]))
del argDict[key]
return VisitInfo(**argDict)
def testMultiPlaneFitsReaders(self):
"""Run tests for MaskedImageFitsReader and ExposureFitsReader.
"""
metadata = PropertyList()
metadata.add("FIVE", 5)
metadata.add("SIX", 6.0)
wcs = makeSkyWcs(Point2D(2.5, 3.75),
SpherePoint(40.0 * degrees, 50.0 * degrees),
np.array([[1E-5, 0.0], [0.0, -1E-5]]))
defineFilter("test_readers_filter", lambdaEff=470.0)
calib = PhotoCalib(2.5E4)
psf = GaussianPsf(21, 21, 8.0)
polygon = Polygon(Box2D(self.bbox))
apCorrMap = ApCorrMap()
visitInfo = VisitInfo(exposureTime=5.0)
transmissionCurve = TransmissionCurve.makeIdentity()
coaddInputs = CoaddInputs(ExposureTable.makeMinimalSchema(),
ExposureTable.makeMinimalSchema())
detector = DetectorWrapper().detector
record = coaddInputs.ccds.addNew()
record.setWcs(wcs)
record.setPhotoCalib(calib)
record.setPsf(psf)
record.setValidPolygon(polygon)
record.setApCorrMap(apCorrMap)
record.setVisitInfo(visitInfo)
record.setTransmissionCurve(transmissionCurve)
record.setDetector(detector)
for n, dtypeIn in enumerate(self.dtypes):
with self.subTest(dtypeIn=dtypeIn):
exposureIn = Exposure(self.bbox, dtype=dtypeIn)
shape = exposureIn.image.array.shape
exposureIn.image.array[:, :] = np.random.randint(low=1,
high=5,
size=shape)
exposureIn.mask.array[:, :] = np.random.randint(low=1,
high=5,
size=shape)
exposureIn.variance.array[:, :] = np.random.randint(low=1,
high=5,
size=shape)
exposureIn.setMetadata(metadata)
exposureIn.setWcs(wcs)
exposureIn.setFilter(Filter("test_readers_filter"))
exposureIn.setFilterLabel(
FilterLabel(physical="test_readers_filter"))
exposureIn.setPhotoCalib(calib)
exposureIn.setPsf(psf)
exposureIn.getInfo().setValidPolygon(polygon)
exposureIn.getInfo().setApCorrMap(apCorrMap)
exposureIn.getInfo().setVisitInfo(visitInfo)
exposureIn.getInfo().setTransmissionCurve(transmissionCurve)
exposureIn.getInfo().setCoaddInputs(coaddInputs)
exposureIn.setDetector(detector)
with lsst.utils.tests.getTempFilePath(".fits") as fileName:
exposureIn.writeFits(fileName)
self.checkMaskedImageFitsReader(exposureIn, fileName,
self.dtypes[n:])
self.checkExposureFitsReader(exposureIn, fileName,
self.dtypes[n:])
def setArgDict(self, md, argDict):
"""Set an argument dict for VisitInfo and pop associated metadata
@param[in,out] md metadata, as an lsst.daf.base.PropertyList or PropertySet
@param[in,out] argdict a dict of arguments
"""
MakeRawVisitInfo.setArgDict(self, md, argDict)
argDict["darkTime"] = self.popFloat(md, "DARKTIME")
argDict["boresightAzAlt"] = Coord(
self.popAngle(md, "AZIMUTH"),
self.altitudeFromZenithDistance(self.popAngle(md, "ZENITH")),
)
argDict["boresightRaDec"] = IcrsCoord(
self.popAngle(md, "RA_DEG"),
self.popAngle(md, "DEC_DEG"),
)
argDict["boresightAirmass"] = self.popFloat(md, "AIRMASS")
argDict["boresightRotAngle"] = -self.popAngle(md, "ROTANG")
argDict["rotType"] = RotType.SKY
argDict["observatory"] = self.observatory
argDict["weather"] = Weather(
self.popFloat(md, "TEMPERA"),
self.pascalFromMmHg(self.popFloat(md, "PRESS")),
float("nan"),
)
# phosim doesn't supply LST, HA, or UT1, and the alt/az/ra/dec/time can be inconsistent.
# We will leave ERA as NaN until a better answer is available.
return VisitInfo(**argDict)
def setArgDict(self, md, argDict):
"""Set an argument dict for VisitInfo and pop associated metadata
@param[in,out] md metadata, as an lsst.daf.base.PropertyList or PropertySet
@param[in,out] argdict a dict of arguments
"""
MakeRawVisitInfo.setArgDict(self, md, argDict)
argDict["darkTime"] = self.popFloat(md, "DARKTIME")
argDict["boresightAzAlt"] = SpherePoint(
self.popAngle(md, "AZIMUTH"),
self.altitudeFromZenithDistance(self.popAngle(md, "ZENITH")),
)
argDict["boresightRaDec"] = SpherePoint(
self.popAngle(md, "RA_DEG"),
self.popAngle(md, "DEC_DEG"),
)
argDict["boresightAirmass"] = self.popFloat(md, "AIRMASS")
argDict["boresightRotAngle"] = -self.popAngle(md, "ROTANG")
argDict["rotType"] = RotType.SKY
argDict["observatory"] = self.observatory
argDict["weather"] = Weather(
self.popFloat(md, "TEMPERA"),
self.pascalFromMmHg(self.popFloat(md, "PRESS")),
float("nan"),
)
return VisitInfo(**argDict)
def setArgDict(self, md, argDict):
"""Set an argument dict for VisitInfo and pop associated metadata
@param[in,out] md metadata, as an lsst.daf.base.PropertyList or PropertySet
@param[in,out] argdict a dict of arguments
"""
MakeRawVisitInfo.setArgDict(self, md, argDict)
argDict["darkTime"] = self.popFloat(md, "DARKTIME")
argDict["boresightAzAlt"] = Coord(
self.popAngle(md, "AZIMUTH"),
self.altitudeFromZenithDistance(self.popAngle(md, "ZENITH")),
)
argDict["boresightRaDec"] = IcrsCoord(
self.popAngle(md, "RA_DEG"),
self.popAngle(md, "DEC_DEG"),
)
argDict["boresightAirmass"] = self.popFloat(md, "AIRMASS")
argDict["boresightRotAngle"] = -self.popAngle(md, "ROTANG")
argDict["rotType"] = RotType.SKY
argDict["observatory"] = self.observatory
weather = defaultWeather(self.observatory.getElevation())
temperature = self.defaultMetadata(self.popFloat(md, "TEMPERA"),
weather.getAirTemperature(),
minimum=-10,
maximum=40.)
pressure = self.defaultMetadata(self.pascalFromMmHg(
self.popFloat(md, "PRESS")),
weather.getAirPressure(),
minimum=50000.,
maximum=90000.)
humidity = 40. # Not currently supplied by phosim, so set to a typical value.
argDict["weather"] = Weather(temperature, pressure, humidity)
longitude = argDict["observatory"].getLongitude()
RA = argDict["boresightRaDec"][0]
# phosim doesn't supply LST, HA, or UT1, and the alt/az/ra/dec/time can be inconsistent.
# We will leave ERA as NaN until a better answer is available.
try:
# Other simulation tools don't have the same problem, and need hour angle if it is available.
HA = self.popAngle(md, "HA", units=astropy.units.h)
argDict['era'] = HA + RA - longitude
except:
self.log.warn("Hour angle missing from metadata, will be NAN")
return VisitInfo(**argDict)
def __call__(self, md, exposureId):
"""Construct a VisitInfo and strip associated data from the metadata
@param[in,out] md metadata, as an lsst.daf.base.PropertyList or PropertySet;
items that are used are stripped from the metadata
(except TIMESYS, because it may apply to more than one other keyword).
@param[in] exposureId exposure ID
The basic implementation sets date and exposureTime using typical values
found in FITS files and logs a warning if neither can be set.
"""
argDict = dict(exposureId=exposureId)
self.setArgDict(md, argDict)
for key in list(
argDict.keys()): # use a copy because we may delete items
if argDict[key] is None:
self.log.warn("argDict[{}] is None; stripping".format(
key, argDict[key]))
del argDict[key]
return VisitInfo(**argDict)
def setUp(self):
self.camera = CameraWrapper().camera
self.detector = DetectorWrapper().detector
self.crpix = lsst.geom.Point2D(50, 100)
self.crval = lsst.geom.SpherePoint(36, 71, lsst.geom.degrees)
scale = 1.0 * lsst.geom.arcseconds
self.cdMatrix = afwGeom.makeCdMatrix(scale=scale)
self.wcs = afwGeom.makeSkyWcs(crpix=self.crpix,
crval=self.crval,
cdMatrix=self.cdMatrix)
self.bbox = lsst.geom.Box2I(lsst.geom.Point2I(-10, 10),
lsst.geom.Extent2I(1000, 1022))
self.exposure = ExposureF(self.bbox)
# set the few items of ExposureInfo needed by IsrTask.run
# when only adding a distortion model
exposureInfo = ExposureInfo(photoCalib=PhotoCalib(1.0),
detector=self.detector,
visitInfo=VisitInfo(exposureTime=1.0),
wcs=self.wcs)
self.exposure.setInfo(exposureInfo)
def setArgDict(self, md, argDict):
"""Set an argument dict for VisitInfo and pop associated metadata.
Parameters
----------
md : `lsst.daf.base.PropertySet`
Image metadata.
argDict : `dict`
A dict of arguments for the `lsst.afw.image.VisitInfo`
constructor. Updated by this call.
Returns
-------
visitInfo : `lsst.afw.image.VisitInfo`
Visit information.
"""
MakeRawVisitInfo.setArgDict(self, md, argDict)
argDict["darkTime"] = self.popFloat(md, "DARKTIME")
argDict["boresightAzAlt"] = SpherePoint(
self.popAngle(md, "AZIMUTH"),
self.altitudeFromZenithDistance(self.popAngle(md, "ZENITH")),
)
argDict["boresightRaDec"] = SpherePoint(
self.popAngle(md, "RA_DEG"),
self.popAngle(md, "DEC_DEG"),
)
argDict["boresightAirmass"] = self.popFloat(md, "AIRMASS")
argDict["boresightRotAngle"] = -self.popAngle(md, "ROTANG")
argDict["rotType"] = RotType.SKY
argDict["observatory"] = self.observatory
argDict["weather"] = Weather(
self.popFloat(md, "TEMPERA"),
self.pascalFromMmHg(self.popFloat(md, "PRESS")),
float("nan"),
)
return VisitInfo(**argDict)
def observationInfo2visitInfo(obsInfo, log=None):
"""Construct a `~lsst.afw.image.VisitInfo` from an
`~astro_metadata_translator.ObservationInfo`
Parameters
----------
obsInfo : `astro_metadata_translator.ObservationInfo`
Information gathered from the observation metadata.
log : `logging.Logger` or `lsst.log.Log`, optional
Logger to use for logging informational messages.
If `None` logging will be disabled.
Returns
-------
visitInfo : `lsst.afw.image.VisitInfo`
`~lsst.afw.image.VisitInfo` derived from the supplied
`~astro_metadata_translator.ObservationInfo`.
"""
argDict = dict()
# Map the translated information into a form suitable for VisitInfo
if obsInfo.exposure_time is not None:
argDict["exposureTime"] = obsInfo.exposure_time.to_value("s")
if obsInfo.dark_time is not None:
argDict["darkTime"] = obsInfo.dark_time.to_value("s")
argDict["exposureId"] = obsInfo.detector_exposure_id
# VisitInfo uses the middle of the observation for the date
if obsInfo.datetime_begin is not None and obsInfo.datetime_end is not None:
tdelta = obsInfo.datetime_end - obsInfo.datetime_begin
middle = obsInfo.datetime_begin + 0.5 * tdelta
# DateTime uses nanosecond resolution, regardless of the resolution
# of the original date
middle.precision = 9
# isot is ISO8601 format with "T" separating date and time and no
# time zone
argDict["date"] = DateTime(middle.tai.isot, DateTime.TAI)
# Derive earth rotation angle from UT1 (being out by a second is
# not a big deal given the uncertainty over exactly what part of
# the observation we are needing it for).
# ERFA needs a UT1 time split into two floats
# We ignore any problems with DUT1 not being defined for now.
try:
# Catch any warnings about the time being in the future
# since there is nothing we can do about that for simulated
# data and it tells us nothing for data from the past.
with warnings.catch_warnings():
# If we are using the real erfa it is not an AstropyWarning
# During transition period filter both
warnings.simplefilter(
"ignore",
category=astropy.utils.exceptions.AstropyWarning)
if ErfaWarning is not None:
warnings.simplefilter("ignore", category=ErfaWarning)
ut1time = middle.ut1
except iers.IERSRangeError:
ut1time = middle
era = erfa.era00(ut1time.jd1, ut1time.jd2)
argDict["era"] = era * radians
else:
argDict["date"] = DateTime()
# Coordinates
if obsInfo.tracking_radec is not None:
icrs = obsInfo.tracking_radec.transform_to("icrs")
argDict["boresightRaDec"] = SpherePoint(icrs.ra.degree,
icrs.dec.degree,
units=degrees)
altaz = obsInfo.altaz_begin
if altaz is not None:
argDict["boresightAzAlt"] = SpherePoint(altaz.az.degree,
altaz.alt.degree,
units=degrees)
argDict["boresightAirmass"] = obsInfo.boresight_airmass
if obsInfo.boresight_rotation_angle is not None:
argDict[
"boresightRotAngle"] = obsInfo.boresight_rotation_angle.degree * degrees
if obsInfo.boresight_rotation_coord is not None:
rotType = RotType.UNKNOWN
if obsInfo.boresight_rotation_coord == "sky":
rotType = RotType.SKY
argDict["rotType"] = rotType
# Weather and Observatory Location
temperature = float("nan")
if obsInfo.temperature is not None:
temperature = obsInfo.temperature.to_value(
"deg_C", astropy.units.temperature())
pressure = float("nan")
if obsInfo.pressure is not None:
pressure = obsInfo.pressure.to_value("Pa")
relative_humidity = float("nan")
if obsInfo.relative_humidity is not None:
relative_humidity = obsInfo.relative_humidity
argDict["weather"] = Weather(temperature, pressure, relative_humidity)
if obsInfo.location is not None:
geolocation = obsInfo.location.to_geodetic()
argDict["observatory"] = Observatory(
geolocation.lon.degree * degrees,
geolocation.lat.degree * degrees,
geolocation.height.to_value("m"))
for key in list(
argDict.keys()): # use a copy because we may delete items
if argDict[key] is None:
if log is not None:
log.warn("argDict[%s] is None; stripping", key)
del argDict[key]
return VisitInfo(**argDict)
def setUp(self):
"""Constructs a CCD with two amplifiers and prepares for ISR"""
np.random.seed(12345)
baseValue = 100.0
gain = 1.0
readNoise = 123456789.0
saturation = 987654321.0
height = 234
imageSize = Extent2I(123, height)
overscanSize = Extent2I(16, height)
self.sigma = 1.234
# Set up the various regions
overscan1 = Box2I(Point2I(0, 0), overscanSize)
image1 = Box2I(Point2I(overscanSize[0], 0), imageSize)
image2 = Box2I(Point2I(overscanSize[0] + imageSize[0], 0), imageSize)
overscan2 = Box2I(Point2I(overscanSize[0] + 2 * imageSize[0], 0),
overscanSize)
leftBox = Box2I(
overscan1.getMin(),
Extent2I(overscan1.getWidth() + image1.getWidth(), height))
rightBox = Box2I(
image2.getMin(),
Extent2I(image2.getWidth() + overscan2.getWidth(), height))
target1 = Box2I(Point2I(0, 0), imageSize)
target2 = Box2I(Point2I(image1.getWidth(), 0), imageSize)
# Set the pixels
exposure = ExposureF(
Box2I(Point2I(0, 0),
Extent2I(imageSize[0] * 2 + overscanSize[0] * 2, height)))
yy = np.arange(0, height, 1, dtype=np.float32)
leftImage = ExposureF(exposure, leftBox)
leftImage.image.array[:] = baseValue + yy[:, np.newaxis]
rightImage = ExposureF(exposure, rightBox)
rightImage.image.array[:] = baseValue - yy[:, np.newaxis]
leftOverscan = ExposureF(exposure, overscan1)
leftOverscan.image.array += np.random.normal(
0.0, self.sigma, leftOverscan.image.array.shape)
rightOverscan = ExposureF(exposure, overscan2)
rightOverscan.image.array += np.random.normal(
0.0, self.sigma, leftOverscan.image.array.shape)
exposure.mask.array[:] = 0.0
exposure.variance.array[:] = np.nan
# Construct the detectors
amp1 = makeAmplifier("left", target1, image1, overscan1, gain,
readNoise, saturation)
amp2 = makeAmplifier("right", target2, image2, overscan2, gain,
readNoise, saturation)
ccdBox = Box2I(Point2I(0, 0),
Extent2I(image1.getWidth() + image2.getWidth(), height))
camBuilder = cameraGeom.Camera.Builder("fakeCam")
detBuilder = camBuilder.add("detector", 1)
detBuilder.setSerial("det1")
detBuilder.setBBox(ccdBox)
detBuilder.setPixelSize(Extent2D(1.0, 1.0))
detBuilder.setOrientation(cameraGeom.Orientation())
detBuilder.append(amp1)
detBuilder.append(amp2)
cam = camBuilder.finish()
exposure.setDetector(cam.get('detector'))
header = PropertyList()
header.add("EXPTIME", 0.0)
exposure.getInfo().setVisitInfo(VisitInfo(header))
self.exposure = exposure
self.config = IsrTask.ConfigClass()
# Disable everything we don't care about
self.config.doBias = False
self.config.doDark = False
self.config.doFlat = False
self.config.doFringe = False
self.config.doDefect = False
self.config.doWrite = False
self.config.expectWcs = False
self.config.doLinearize = False
self.config.doCrosstalk = False
self.config.doBrighterFatter = False
self.config.doAttachTransmissionCurve = False
self.config.doAssembleCcd = False
self.config.doNanMasking = False
self.config.doInterpolate = False
self.config.maskNegativeVariance = False # This runs on mocks.
# Set the things that match our test setup
self.config.overscan.fitType = "CHEB"
self.config.overscan.order = 1
self.config.doEmpiricalReadNoise = True
self.task = IsrTask(config=self.config)
def __call__(self, md, exposureId=None):
"""Construct a VisitInfo and strip associated data from the metadata.
Parameters
----------
md : `lsst.daf.base.PropertyList` or `lsst.daf.base.PropertySet`
Metadata to pull from.
Items that are used are stripped from the metadata.
exposureId : `int`, optional
Ignored. Here for compatibility with `MakeRawVisitInfo`.
Returns
-------
visitInfo : `lsst.afw.image.VisitInfo`
`~lsst.afw.image.VisitInfo` derived from the header using
a `~astro_metadata_translator.MetadataTranslator`.
"""
argDict = dict()
obsInfo = ObservationInfo(md, translator_class=self.metadataTranslator)
# Strip all the cards out that were used
for c in obsInfo.cards_used:
del md[c]
# Map the translated information into a form suitable for VisitInfo
if obsInfo.exposure_time is not None:
argDict["exposureTime"] = obsInfo.exposure_time.to_value("s")
if obsInfo.dark_time is not None:
argDict["darkTime"] = obsInfo.dark_time.to_value("s")
argDict["exposureId"] = obsInfo.detector_exposure_id
# VisitInfo uses the middle of the observation for the date
if obsInfo.datetime_begin is not None and obsInfo.datetime_end is not None:
tdelta = obsInfo.datetime_end - obsInfo.datetime_begin
middle = obsInfo.datetime_begin + 0.5 * tdelta
# DateTime uses nanosecond resolution, regardless of the resolution
# of the original date
middle.precision = 9
# isot is ISO8601 format with "T" separating date and time and no
# time zone
argDict["date"] = DateTime(middle.tai.isot, DateTime.TAI)
# Derive earth rotation angle from UT1 (being out by a second is not
# a big deal given the uncertainty over exactly what part of the
# observation we are needing it for).
# ERFA needs a UT1 time split into two floats
# We ignore any problems with DUT1 not being defined for now.
try:
ut1time = middle.ut1
except iers.IERSRangeError:
ut1time = middle
era = erfa.era00(ut1time.jd1, ut1time.jd2)
argDict["era"] = era * radians
else:
argDict["date"] = DateTime()
# Coordinates
if obsInfo.tracking_radec is not None:
icrs = obsInfo.tracking_radec.transform_to("icrs")
argDict["boresightRaDec"] = SpherePoint(icrs.ra.degree,
icrs.dec.degree,
units=degrees)
altaz = obsInfo.altaz_begin
if altaz is not None:
argDict["boresightAzAlt"] = SpherePoint(altaz.az.degree,
altaz.alt.degree,
units=degrees)
argDict["boresightAirmass"] = obsInfo.boresight_airmass
if obsInfo.boresight_rotation_angle is not None:
argDict[
"boresightRotAngle"] = obsInfo.boresight_rotation_angle.degree * degrees
if obsInfo.boresight_rotation_coord is not None:
rotType = RotType.UNKNOWN
if obsInfo.boresight_rotation_coord == "sky":
rotType = RotType.SKY
argDict["rotType"] = rotType
# Weather and Observatory Location
temperature = float("nan")
if obsInfo.temperature is not None:
temperature = obsInfo.temperature.to_value(
"deg_C", astropy.units.temperature())
pressure = float("nan")
if obsInfo.pressure is not None:
pressure = obsInfo.pressure.to_value("Pa")
relative_humidity = float("nan")
if obsInfo.relative_humidity is not None:
relative_humidity = obsInfo.relative_humidity
argDict["weather"] = Weather(temperature, pressure, relative_humidity)
if obsInfo.location is not None:
geolocation = obsInfo.location.to_geodetic()
argDict["observatory"] = Observatory(
geolocation.lon.degree * degrees,
geolocation.lat.degree * degrees,
geolocation.height.to_value("m"))
for key in list(
argDict.keys()): # use a copy because we may delete items
if argDict[key] is None:
self.log.warn("argDict[{}] is None; stripping".format(
key, argDict[key]))
del argDict[key]
return VisitInfo(**argDict)
