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LSST Data Management Base Package
|
Classes | |
class | SpatiallySampledMetricsConnections |
Variables | |
science : `lsst.afw.image.ExposureF` | |
matchedTemplate : `lsst.afw.image.ExposureF` | |
template : `lsst.afw.image.ExposureF` | |
difference : `lsst.afw.image.ExposureF` | |
diaSources : `lsst.afw.table.SourceCatalog` | |
psfMatchingKernel : `~lsst.afw.math.LinearCombinationKernel` | |
results : `lsst.pipe.base.Struct` | |
src : `lsst.afw.table.SourceRecord` | |
metricsMaskPlanes : `list` of `str` | |
lsst.ip.diffim.computeSpatiallySampledMetrics.diaSources : `lsst.afw.table.SourceCatalog` |
Definition at line 213 of file computeSpatiallySampledMetrics.py.
lsst.ip.diffim.computeSpatiallySampledMetrics.difference : `lsst.afw.image.ExposureF` |
Definition at line 211 of file computeSpatiallySampledMetrics.py.
lsst.ip.diffim.computeSpatiallySampledMetrics.matchedTemplate : `lsst.afw.image.ExposureF` |
Definition at line 205 of file computeSpatiallySampledMetrics.py.
lsst.ip.diffim.computeSpatiallySampledMetrics.metricsMaskPlanes : `list` of `str` |
Definition at line 262 of file computeSpatiallySampledMetrics.py.
lsst.ip.diffim.computeSpatiallySampledMetrics.psfMatchingKernel : `~lsst.afw.math.LinearCombinationKernel` |
Definition at line 215 of file computeSpatiallySampledMetrics.py.
lsst.ip.diffim.computeSpatiallySampledMetrics.results : `lsst.pipe.base.Struct` |
Definition at line 220 of file computeSpatiallySampledMetrics.py.
lsst.ip.diffim.computeSpatiallySampledMetrics.science : `lsst.afw.image.ExposureF` |
metricsMaskPlanes = lsst.pex.config.ListField( dtype=str, doc="List of mask planes to include in metrics", default=('BAD', 'CLIPPED', 'CR', 'DETECTED', 'DETECTED_NEGATIVE', 'EDGE', 'INEXACT_PSF', 'INJECTED', 'INJECTED_TEMPLATE', 'INTRP', 'NOT_DEBLENDED', 'NO_DATA', 'REJECTED', 'SAT', 'SAT_TEMPLATE', 'SENSOR_EDGE', 'STREAK', 'SUSPECT', 'UNMASKEDNAN', ), ) metricSources = pexConfig.ConfigurableField( target=SkyObjectsTask, doc="Generate QA metric sources", ) def setDefaults(self): self.metricSources.avoidMask = ["NO_DATA", "EDGE"] class SpatiallySampledMetricsTask(lsst.pipe.base.PipelineTask):
ConfigClass = SpatiallySampledMetricsConfig _DefaultName = "spatiallySampledMetrics" def __init__(self, **kwargs): super().__init__(**kwargs) self.makeSubtask("metricSources") self.schema = afwTable.SourceTable.makeMinimalSchema() self.schema.addField( "x", "F", "X location of the metric evaluation.", units="pixel") self.schema.addField( "y", "F", "Y location of the metric evaluation.", units="pixel") self.metricSources.skySourceKey = self.schema.addField("sky_source", type="Flag", doc="Metric evaluation objects.") self.schema.addField( "source_density", "F", "Density of diaSources at location.", units="count/degree^2") self.schema.addField( "dipole_density", "F", "Density of dipoles at location.", units="count/degree^2") self.schema.addField( "dipole_direction", "F", "Mean dipole orientation.", units="radian") self.schema.addField( "dipole_separation", "F", "Mean dipole separation.", units="pixel") self.schema.addField( "template_value", "F", "Median of template at location.", units="nJy") self.schema.addField( "science_value", "F", "Median of science at location.", units="nJy") self.schema.addField( "diffim_value", "F", "Median of diffim at location.", units="nJy") self.schema.addField( "science_psfSize", "F", "Width of the science image PSF at location.", units="pixel") self.schema.addField( "template_psfSize", "F", "Width of the template image PSF at location.", units="pixel") for maskPlane in self.config.metricsMaskPlanes: self.schema.addField( "%s_mask_fraction"%maskPlane.lower(), "F", "Fraction of pixels with %s mask"%maskPlane ) self.schema.addField( "psfMatchingKernel_sum", "F", "PSF matching kernel sum at location.") self.schema.addField( "psfMatchingKernel_dx", "F", "PSF matching kernel centroid offset in x at location.", units="pixel") self.schema.addField( "psfMatchingKernel_dy", "F", "PSF matching kernel centroid offset in y at location.", units="pixel") self.schema.addField( "psfMatchingKernel_length", "F", "PSF matching kernel centroid offset module.", units="arcsecond") self.schema.addField( "psfMatchingKernel_position_angle", "F", "PSF matching kernel centroid offset position angle.", units="radian") self.schema.addField( "psfMatchingKernel_direction", "F", "PSF matching kernel centroid offset direction in detector plane.", units="radian") @timeMethod def run(self, science, matchedTemplate, template, difference, diaSources, psfMatchingKernel):
Definition at line 203 of file computeSpatiallySampledMetrics.py.
lsst.ip.diffim.computeSpatiallySampledMetrics.src : `lsst.afw.table.SourceRecord` |
idFactory = lsst.meas.base.IdGenerator().make_table_id_factory() spatiallySampledMetrics = afwTable.SourceCatalog(self.schema) spatiallySampledMetrics.getTable().setIdFactory(idFactory) self.metricSources.run(mask=science.mask, seed=difference.info.id, catalog=spatiallySampledMetrics) metricsMaskPlanes = [] for maskPlane in self.config.metricsMaskPlanes: try: metricsMaskPlanes.append(maskPlane) except InvalidParameterError: self.log.info("Unable to calculate metrics for mask plane %s: not in image"%maskPlane) for src in spatiallySampledMetrics: self._evaluateLocalMetric(src, science, matchedTemplate, template, difference, diaSources, metricsMaskPlanes=metricsMaskPlanes, psfMatchingKernel=psfMatchingKernel) return pipeBase.Struct(spatiallySampledMetrics=spatiallySampledMetrics.asAstropy()) def _evaluateLocalMetric(self, src, science, matchedTemplate, template, difference, diaSources, metricsMaskPlanes, psfMatchingKernel):
Definition at line 252 of file computeSpatiallySampledMetrics.py.
lsst.ip.diffim.computeSpatiallySampledMetrics.template : `lsst.afw.image.ExposureF` |
Definition at line 208 of file computeSpatiallySampledMetrics.py.