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LSST Applications g00274db5b6+edbf708997,g00d0e8bbd7+edbf708997,g199a45376c+5137f08352,g1fd858c14a+1d4b6db739,g262e1987ae+f4d9505c4f,g29ae962dfc+7156fb1a53,g2cef7863aa+73c82f25e4,g35bb328faa+edbf708997,g3e17d7035e+5b3adc59f5,g3fd5ace14f+852fa6fbcb,g47891489e3+6dc8069a4c,g53246c7159+edbf708997,g64539dfbff+9f17e571f4,g67b6fd64d1+6dc8069a4c,g74acd417e5+ae494d68d9,g786e29fd12+af89c03590,g7ae74a0b1c+a25e60b391,g7aefaa3e3d+536efcc10a,g7cc15d900a+d121454f8d,g87389fa792+a4172ec7da,g89139ef638+6dc8069a4c,g8d7436a09f+28c28d8d6d,g8ea07a8fe4+db21c37724,g92c671f44c+9f17e571f4,g98df359435+b2e6376b13,g99af87f6a8+b0f4ad7b8d,gac66b60396+966efe6077,gb88ae4c679+7dec8f19df,gbaa8f7a6c5+38b34f4976,gbf99507273+edbf708997,gc24b5d6ed1+9f17e571f4,gca7fc764a6+6dc8069a4c,gcc769fe2a4+97d0256649,gd7ef33dd92+6dc8069a4c,gdab6d2f7ff+ae494d68d9,gdbb4c4dda9+9f17e571f4,ge410e46f29+6dc8069a4c,geaed405ab2+e194be0d2b,w.2025.47
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.