LSST Applications 27.0.0,g0265f82a02+469cd937ee,g02d81e74bb+21ad69e7e1,g1470d8bcf6+cbe83ee85a,g2079a07aa2+e67c6346a6,g212a7c68fe+04a9158687,g2305ad1205+94392ce272,g295015adf3+81dd352a9d,g2bbee38e9b+469cd937ee,g337abbeb29+469cd937ee,g3939d97d7f+72a9f7b576,g487adcacf7+71499e7cba,g50ff169b8f+5929b3527e,g52b1c1532d+a6fc98d2e7,g591dd9f2cf+df404f777f,g5a732f18d5+be83d3ecdb,g64a986408d+21ad69e7e1,g858d7b2824+21ad69e7e1,g8a8a8dda67+a6fc98d2e7,g99cad8db69+f62e5b0af5,g9ddcbc5298+d4bad12328,ga1e77700b3+9c366c4306,ga8c6da7877+71e4819109,gb0e22166c9+25ba2f69a1,gb6a65358fc+469cd937ee,gbb8dafda3b+69d3c0e320,gc07e1c2157+a98bf949bb,gc120e1dc64+615ec43309,gc28159a63d+469cd937ee,gcf0d15dbbd+72a9f7b576,gdaeeff99f8+a38ce5ea23,ge6526c86ff+3a7c1ac5f1,ge79ae78c31+469cd937ee,gee10cc3b42+a6fc98d2e7,gf1cff7945b+21ad69e7e1,gfbcc870c63+9a11dc8c8f
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.