Catalogs¶
Tables of measurements made on sources and objects detected in the processed images, and tables of survey metadata for the observations.
The schema browser includes column descriptions for all tables.
All catalog data products are available via TAP, and most are also available with the butler.
The “Butler Dataset type” entry on each catalog’s page is of the format (‘datasetTypeName’, {dimension1, dimension2, dimension3}, StorageClass), where dimensions in bold are required dimensions for retrieving datasets of this type. See Butler terminology for more information.
Note
When reading catalogs with the butler, it can be much more efficient to load just a few columns, by adding:
parameters={"columns": list_of_columns}
to a Butler.get
call (where list_of_columns
is a Python list
of str
column names).
Object¶
Measurements on the deep coadd images at the locations of all detected objects.
Source and forced source¶
Measurements on the individual images at the locations of all objects.
Difference image analysis¶
Measurements on the difference and visit images at the locations of all variable or moving objects.
Moving objects¶
Derived properties for moving objects detected in images.
Observations¶
Observational metadata for visits and detectors.