def run(display=False):
"""Subtract background, mask cosmic rays, then detect and measure
"""
# Create the tasks; if you use the default config then you don't have to construct the config,
# as shown in constructing backgroundTask, but constructing the config makes it easier to modify
repairConfig = RepairTask.ConfigClass()
repairTask = RepairTask(config=repairConfig)
backgroundTask = SubtractBackgroundTask()
damConfig = DetectAndMeasureTask.ConfigClass()
damConfig.detection.thresholdValue = 5.0
damConfig.detection.includeThresholdMultiplier = 1.0
damConfig.measurement.doApplyApCorr = "yes"
detectAndMeasureTask = DetectAndMeasureTask(config=damConfig)
# load the data
# Exposure ID and the number of bits required for exposure IDs are usually obtained from a data repo,
# but here we pick reasonable values (there are 64 bits to share between exposure IDs and source IDs).
exposure = loadData()
exposureIdInfo = ExposureIdInfo(expId=1, expBits=5)
# repair cosmic rays
repairTask.run(exposure=exposure)
# subtract an initial estimate of background level
backgroundTask.run(exposure=exposure)
# detect and measure
damRes = detectAndMeasureTask.run(exposure=exposure, exposureIdInfo=exposureIdInfo)
if display:
displayAstrometry(frame=2, exposure=damRes.exposure, sourceCat=damRes.sourceCat, pause=False)
def test_amplifierSigma(self):
"""Clipped sigma against CR-rejected sigma
Notes
-----
DMTN-101 4.4
Run a CR rejection on the result and confirm that the
unclipped standard deviation is consistent with the 5-sigma
clipped value.
"""
crTask = RepairTask()
crRejected = self.exposure.clone()
psf = measAlg.SingleGaussianPsf(21, 21, 3.0)
crRejected.setPsf(psf)
crTask.run(crRejected, keepCRs=False)
ccd = self.exposure.getDetector()
for amp in ccd:
ampExposure = self.exposure.Factory(self.exposure, amp.getBBox())
clipControl = afwMath.StatisticsControl(5.0, 5)
clipControl.setAndMask(
self.exposure.mask.getPlaneBitMask(["SAT", "BAD", "NO_DATA"]))
sigmaClip = afwMath.makeStatistics(ampExposure.getImage(),
afwMath.STDEVCLIP,
clipControl).getValue()
crAmp = crRejected.Factory(crRejected, amp.getBBox())
statControl = afwMath.StatisticsControl()
statControl.setAndMask(
self.exposure.mask.getPlaneBitMask(
["SAT", "BAD", "NO_DATA", "CR"]))
sigma = afwMath.makeStatistics(crAmp.getImage(), afwMath.STDEV,
statControl).getValue()
# needs to be < 0.05
fractionalError = np.abs(sigma - sigmaClip) / sigmaClip
self.assertLess(fractionalError,
3.0,
msg="Test 4.4: {amp.getName()} {fractionalError}")
def run(display=False):
"""Subtract background, mask cosmic rays, then detect and measure
"""
# Create the tasks; note that background estimation is performed by a function,
# not a task, though it has a config
repairConfig = RepairTask.ConfigClass()
repairTask = RepairTask(config=repairConfig)
backgroundConfig = estimateBackground.ConfigClass()
damConfig = DetectAndMeasureTask.ConfigClass()
damConfig.detection.thresholdValue = 5.0
damConfig.detection.includeThresholdMultiplier = 1.0
damConfig.measurement.doApplyApCorr = "yes"
detectAndMeasureTask = DetectAndMeasureTask(config=damConfig)
# load the data
# Exposure ID and the number of bits required for exposure IDs are usually obtained from a data repo,
# but here we pick reasonable values (there are 64 bits to share between exposure IDs and source IDs).
exposure = loadData()
exposureIdInfo = ExposureIdInfo(expId=1, expBits=5)
# repair cosmic rays
repairTask.run(exposure=exposure)
# subtract an initial estimate of background level
estBg, exposure = estimateBackground(
exposure=exposure,
backgroundConfig=backgroundConfig,
subtract=True,
)
# detect and measure
damRes = detectAndMeasureTask.run(exposure=exposure,
exposureIdInfo=exposureIdInfo)
if display:
displayAstrometry(frame=2,
exposure=damRes.exposure,
sourceCat=damRes.sourceCat,
pause=False)
def run(display=False):
"""Subtract background, mask cosmic rays, then detect and measure
"""
# Create the tasks; note that background estimation is performed by a function,
# not a task, though it has a config
repairConfig = RepairTask.ConfigClass()
repairTask = RepairTask(config=repairConfig)
backgroundConfig = estimateBackground.ConfigClass()
damConfig = DetectAndMeasureTask.ConfigClass()
damConfig.detection.thresholdValue = 5.0
damConfig.detection.includeThresholdMultiplier = 1.0
damConfig.measurement.doApplyApCorr = "yes"
detectAndMeasureTask = DetectAndMeasureTask(config=damConfig)
# load the data
# Exposure ID and the number of bits required for exposure IDs are usually obtained from a data repo,
# but here we pick reasonable values (there are 64 bits to share between exposure IDs and source IDs).
exposure = loadData()
exposureIdInfo = ExposureIdInfo(expId=1, expBits=5)
# repair cosmic rays
repairTask.run(exposure=exposure)
# subtract an initial estimate of background level
estBg, exposure = estimateBackground(
exposure = exposure,
backgroundConfig = backgroundConfig,
subtract = True,
)
# detect and measure
damRes = detectAndMeasureTask.run(exposure=exposure, exposureIdInfo=exposureIdInfo)
if display:
displayAstrometry(frame=2, exposure=damRes.exposure, sourceCat=damRes.sourceCat, pause=False)
def runRepair(exp, defectList):
repair = RepairTask(name="RepairTask")
repair.run(exp, defects=defectList)
def runRepair(exp, defectList):
repair = RepairTask(name="RepairTask")
repair.run(exp, defects=defectList)
