LSST Applications g06d8191974+de063e15a7,g180d380827+d0b6459378,g2079a07aa2+86d27d4dc4,g2305ad1205+f1ae3263cc,g29320951ab+5752d78b6e,g2bbee38e9b+85cf0a37e7,g337abbeb29+85cf0a37e7,g33d1c0ed96+85cf0a37e7,g3a166c0a6a+85cf0a37e7,g3ddfee87b4+b5254b9343,g48712c4677+9ea88d309d,g487adcacf7+05f7dba17f,g50ff169b8f+96c6868917,g52b1c1532d+585e252eca,g591dd9f2cf+48904e3942,g64a986408d+de063e15a7,g858d7b2824+de063e15a7,g864b0138d7+33ab2bc355,g8a8a8dda67+585e252eca,g99cad8db69+4508353287,g9c22b2923f+53520f316c,g9ddcbc5298+9a081db1e4,ga1e77700b3+15fc3df1f7,gb0e22166c9+60f28cb32d,gba4ed39666+c2a2e4ac27,gbb8dafda3b+ccb7f83a87,gc120e1dc64+6caf640b9b,gc28159a63d+85cf0a37e7,gc3e9b769f7+548c5e05a3,gcf0d15dbbd+b5254b9343,gdaeeff99f8+f9a426f77a,ge6526c86ff+515b6c9330,ge79ae78c31+85cf0a37e7,gee10cc3b42+585e252eca,gff1a9f87cc+de063e15a7,w.2024.17
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` | |
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 184 of file computeSpatiallySampledMetrics.py.
lsst.ip.diffim.computeSpatiallySampledMetrics.difference : `lsst.afw.image.ExposureF` |
Definition at line 182 of file computeSpatiallySampledMetrics.py.
lsst.ip.diffim.computeSpatiallySampledMetrics.matchedTemplate : `lsst.afw.image.ExposureF` |
Definition at line 176 of file computeSpatiallySampledMetrics.py.
lsst.ip.diffim.computeSpatiallySampledMetrics.metricsMaskPlanes : `list` of `str` |
Definition at line 230 of file computeSpatiallySampledMetrics.py.
lsst.ip.diffim.computeSpatiallySampledMetrics.results : `lsst.pipe.base.Struct` |
Definition at line 189 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 ) @timeMethod def run(self, science, matchedTemplate, template, difference, diaSources):
Definition at line 174 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) return pipeBase.Struct(spatiallySampledMetrics=spatiallySampledMetrics.asAstropy()) def _evaluateLocalMetric(self, src, science, matchedTemplate, template, difference, diaSources, metricsMaskPlanes):
Definition at line 220 of file computeSpatiallySampledMetrics.py.
lsst.ip.diffim.computeSpatiallySampledMetrics.template : `lsst.afw.image.ExposureF` |
Definition at line 179 of file computeSpatiallySampledMetrics.py.