KernelCandidateQa¶

class lsst.ip.diffim.KernelCandidateQa(nKernelSpatial)¶

Quality Assessment class for Kernel Candidates

Methods Summary

`addToSchema`(inSourceCatalog)	Add the to-be-generated QA keys to the Source schema
`aggregate`(sourceCatalog, metadata, wcsresids)	Generate aggregate metrics (e.g.
`apply`(candidateList, spatialKernel, ...[, dof])	Evaluate the QA metrics for all KernelCandidates in the candidateList; set the values of the metrics in their associated Sources
`makeMetricMap`()

Methods Documentation

addToSchema(inSourceCatalog)¶: Add the to-be-generated QA keys to the Source schema

static aggregate(sourceCatalog, metadata, wcsresids, diaSources=None)¶: Generate aggregate metrics (e.g. total numbers of false positives) from all the Sources in the sourceCatalog

classmethod apply(candidateList, spatialKernel, spatialBackground, dof=0)¶: Evaluate the QA metrics for all KernelCandidates in the candidateList; set the values of the metrics in their associated Sources