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University of Bristol
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Abstract Reference: 31121
Identifier: P1.31
Presentation: Poster presentation
Key Theme: 1 Reduction and Analysis Algorithms for Large Databases and Vice-versa

All of the Sky: HEALPix density maps of Gaia-scale datasets from the database to the desktop

Authors:
Mark Taylor, Mantelet Grégory, Demleitner Markus

The Gaia Archive provides access to observations of the order of a billion sky sources.  The primary access to this archive is via TAP services such as GACS, which allow execution of SQL-like queries against a large remote database returning a relatively small result set for client-side use.  Such services are generally used for extracting relatively small source lists according to potentially complex selection criteria.  But they can also be used to obtain statistical information about all, or a large fraction of, the observed sources by building histogram-like results. We examine here the practicalities of producing and consuming all-sky HEALPix weighted density maps in this way for Gaia and other large datasets.  We present some modest requirements on TAP/RDBMS services to enable such queries, and discuss visualisation and serialization options for the results including some new capabilities in recent versions of TOPCAT.