|
lsst.pipe.tasks gfb5511b3f7+6fc9c088ec
|
Classes | |
| class | NumberDeblendedSourcesMetricConnections |
Variables | |
| sources : `lsst.afw.table.SourceCatalog` | |
| result : `lsst.pipe.base.Struct` | |
| catalog : `lsst.afw.table.SourceCatalog` | |
| selection : `numpy.ndarray` [`bool`], (N,) | |
| filtered : `numpy.ndarray` [`bool`], (N,) | |
| lsst.pipe.tasks.metrics.catalog : `lsst.afw.table.SourceCatalog` |
# Use deblend_parentNChild rather than detect_fromBlend because the
# latter need not be defined in post-deblending catalogs.
if "deblend_parentNChild" not in sources.schema or "deblend_nChild" not in sources.schema:
raise NoWorkFound("Nothing to do: no deblending performed.")
else:
try:
children = ((sources["deblend_parentNChild"] > 1) # deblend child
& (sources["deblend_nChild"] == 0) # not deblended
)
children = _filterSkySources(sources, children)
except LookupError as e:
# Probably "parent"; all other columns already checked
raise MetricComputationError("Invalid input catalog") from e
else:
nChildren = np.count_nonzero(children)
return Struct(measurement=Measurement(self.config.metricName,
nChildren * u.dimensionless_unscaled))
def _filterSkySources(catalog, selection):
Definition at line 203 of file metrics.py.
| lsst.pipe.tasks.metrics.filtered : `numpy.ndarray` [`bool`], (N,) |
Definition at line 211 of file metrics.py.
| lsst.pipe.tasks.metrics.result : `lsst.pipe.base.Struct` |
Definition at line 84 of file metrics.py.
| lsst.pipe.tasks.metrics.selection : `numpy.ndarray` [`bool`], (N,) |
Definition at line 205 of file metrics.py.
| lsst.pipe.tasks.metrics.sources : `lsst.afw.table.SourceCatalog` |
_DefaultName = "numDeblendedSciSources" ConfigClass = NumberDeblendedSourcesMetricConfig def run(self, sources):
if "deblend_nChild" not in sources.schema:
raise NoWorkFound("Nothing to do: no deblending performed.")
else:
try:
deblended = ((sources["parent"] == 0) # top-level source
& (sources["deblend_nChild"] > 0) # deblended
)
deblended = _filterSkySources(sources, deblended)
except LookupError as e:
# Probably "parent"; all other columns already checked
raise MetricComputationError("Invalid input catalog") from e
else:
nDeblended = np.count_nonzero(deblended)
return Struct(measurement=Measurement(self.config.metricName,
nDeblended * u.dimensionless_unscaled))
class NumberDeblendChildSourcesMetricConnections(
MetricConnections,
defaultTemplates={"package": "pipe_tasks",
"metric": "numDeblendChildSciSources"},
dimensions={"instrument", "visit", "detector"},
):
sources = connectionTypes.Input(
doc="The catalog of science sources.",
name="src",
storageClass="SourceCatalog",
dimensions={"instrument", "visit", "detector"},
)
class NumberDeblendChildSourcesMetricConfig(
MetricConfig,
pipelineConnections=NumberDeblendChildSourcesMetricConnections):
pass
class NumberDeblendChildSourcesMetricTask(MetricTask):
_DefaultName = "numDeblendChildSciSources" ConfigClass = NumberDeblendChildSourcesMetricConfig def run(self, sources):
Definition at line 79 of file metrics.py.