rubin_sim.maf.batches.glanceBatch(colmap=None, run_name='run_name', nside=64, filternames=('u', 'g', 'r', 'i', 'z', 'y'), nyears=10, pairnside=32, sql_constraint=None, slicer_camera='LSST')

Generate a handy set of metrics that give a quick overview of how well a survey performed. This is a meta-set of other batches, to some extent.

colmapdict, optional

A dictionary with a mapping of column names. Default will use OpsimV4 column names.

run_namestr, optional

The name of the simulated survey. Default is “opsim”.

nsideint, optional

The nside for the healpix slicers. Default 64.

filternameslist of str, optional

The list of individual filters to use when running metrics. Default is (‘u’, ‘g’, ‘r’, ‘i’, ‘z’, ‘y’). There is always an all-visits version of the metrics run as well.

nyearsint (10)

How many years to attempt to make hourglass plots for

pairnsideint (32)

nside to use for the pair fraction metric (it’s slow, so nice to use lower resolution)

sql_constraintstr or None, optional

Additional SQL constraint to apply to all metrics.

slicer_camerastr (‘LSST’)

Sets which spatial slicer to use. options are ‘LSST’ and ‘ComCam’