lsst.sims.maf.bundles package¶

Submodules¶

lsst.sims.maf.bundles.common.sqlWheres(dbobj)[source]¶

Return the WFD and DD sql statements.

Parameters:	dbobj (OpsimDatabase) – A MAF OpsimDatabase object.
Returns:	Dictionary keyed “WFD” and “DD” with values of the sqlconstraints for WFD and DD proposals.
Return type:	dict

lsst.sims.maf.bundles.common.standardSummaryMetrics()[source]¶: A set of standard summary metrics, to calculate Mean, RMS, Median, #, Max/Min, and # 3-sigma outliers.

lsst.sims.maf.bundles.common.extendedSummaryMetrics()[source]¶: An extended set of summary metrics, to calculate all that is in the standard summary stats, plus 25/75 percentiles.

lsst.sims.maf.bundles.glanceBundle.glanceBundle(colmap_dict=None, nside=64)[source]¶

Generate a handy set of metrics that give a quick overview of how well a survey performed

Parameters:	colmap_dict (dict) – A dictionary with a mapping of column names.
Returns:
Return type:	metricBundleDict

lsst.sims.maf.bundles.schedulerValidation.makeBundleList(dbFile, runName=None, benchmark=’design’)[source]¶