LSST Applications g04e9c324dd+8c5ae1fdc5,g0644efc3f0+366663dc37,g123d84c11c+8c5ae1fdc5,g1ec0fe41b4+6ec6b74de1,g1fd858c14a+1be88e80db,g3533f9d6cb+366663dc37,g35bb328faa+8c5ae1fdc5,g35ef7ab7cf+285dd5b202,g53246c7159+8c5ae1fdc5,g60b5630c4e+366663dc37,g663da51e9b+41529343ca,g6735e52a0d+29de3d959a,g67b6fd64d1+57193d00fb,g7605de067c+8f72e4d2dc,g78460c75b0+7e33a9eb6d,g786e29fd12+668abc6043,g844c57033c+03ddc13274,g8852436030+e345a59dd4,g89139ef638+57193d00fb,g989de1cb63+57193d00fb,g9a0bdda227+852181cf57,g9f33ca652e+a2d35689ce,ga1e959baac+5fbc491aed,ga2f891cd6c+366663dc37,gabe3b4be73+8856018cbb,gabf8522325+cc757f8247,gac2eed3f23+57193d00fb,gb1101e3267+f6b489998a,gb89ab40317+57193d00fb,gcf25f946ba+e345a59dd4,gd107969129+227687db21,gd6cbbdb0b4+8e46defd2a,gde0f65d7ad+2dad650f79,ge278dab8ac+2322f1d6ea,ge410e46f29+57193d00fb,gf30d85a44d+8e3077faf9,gf5e32f922b+8c5ae1fdc5,gff02db199a+5c78c1866e,w.2025.28
LSST Data Management Base Package
|
Classes | |
class | NumberSciSourcesMetricConnections |
Variables | |
sources : `lsst.afw.table.SourceCatalog` | |
result : `lsst.pipe.base.Struct` | |
sciSources : `lsst.afw.table.SourceCatalog` | |
diaSources : `lsst.afw.table.SourceCatalog` | |
count : `int` | |
lsst.ip.diffim.metrics.count : `int` |
nSciSources = _countRealSources(sciSources) nDiaSources = _countRealSources(diaSources) metricName = self.config.metricName if nSciSources <= 0: raise MetricComputationError( "No science sources found; ratio of DIASources to science sources ill-defined.") else: meas = Measurement(metricName, nDiaSources / nSciSources * u.dimensionless_unscaled) return Struct(measurement=meas) def _countRealSources(catalog):
Definition at line 177 of file metrics.py.
lsst.ip.diffim.metrics.diaSources : `lsst.afw.table.SourceCatalog` |
Definition at line 139 of file metrics.py.
lsst.ip.diffim.metrics.result : `lsst.pipe.base.Struct` |
Definition at line 80 of file metrics.py.
lsst.ip.diffim.metrics.sciSources : `lsst.afw.table.SourceCatalog` |
nSciSources = _countRealSources(sources) meas = Measurement(self.config.metricName, nSciSources * u.count) return Struct(measurement=meas) class FractionDiaSourcesToSciSourcesMetricConnections( MetricTask.ConfigClass.ConnectionsClass, dimensions={"instrument", "visit", "detector"}, defaultTemplates={"coaddName": "deep", "fakesType": "", "package": "ip_diffim", "metric": "fracDiaSourcesToSciSources"}): sciSources = connectionTypes.Input( doc="The catalog of science sources.", name="src", storageClass="SourceCatalog", dimensions={"instrument", "visit", "detector"}, ) diaSources = connectionTypes.Input( doc="The catalog of DIASources.", name="{fakesType}{coaddName}Diff_diaSrc", storageClass="SourceCatalog", dimensions={"instrument", "visit", "detector"}, ) class FractionDiaSourcesToSciSourcesMetricConfig( MetricTask.ConfigClass, pipelineConnections=FractionDiaSourcesToSciSourcesMetricConnections): pass class FractionDiaSourcesToSciSourcesMetricTask(MetricTask):
_DefaultName = "fracDiaSourcesToSciSources" ConfigClass = FractionDiaSourcesToSciSourcesMetricConfig def run(self, sciSources, diaSources):
Definition at line 137 of file metrics.py.
lsst.ip.diffim.metrics.sources : `lsst.afw.table.SourceCatalog` |
_DefaultName = "numSciSources" ConfigClass = NumberSciSourcesMetricConfig def run(self, sources):
Definition at line 75 of file metrics.py.