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The Theoretical Astrophysical Observatory: Cloud-Based Mock Galaxy Catalogues

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arxiv 1403.5270 v4 pith:V5TJHJCO submitted 2014-03-20 astro-ph.GA astro-ph.COastro-ph.IM

classification astro-ph.GAastro-ph.COastro-ph.IM
keywords galaxymockaccessastrophysicaldataformationfurthermodules
verification ladder T0 review T1 audit T2 compute T3 formal
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We introduce the Theoretical Astrophysical Observatory (TAO), an online virtual laboratory that houses mock observations of galaxy survey data. Such mocks have become an integral part of the modern analysis pipeline. However, building them requires an expert knowledge of galaxy modelling and simulation techniques, significant investment in software development, and access to high performance computing. These requirements make it difficult for a small research team or individual to quickly build a mock catalogue suited to their needs. To address this TAO offers access to multiple cosmological simulations and semi-analytic galaxy formation models from an intuitive and clean web interface. Results can be funnelled through science modules and sent to a dedicated supercomputer for further processing and manipulation. These modules include the ability to (1) construct custom observer light-cones from the simulation data cubes; (2) generate the stellar emission from star formation histories, apply dust extinction, and compute absolute and/or apparent magnitudes; and (3) produce mock images of the sky. All of TAO's features can be accessed without any programming requirements. The modular nature of TAO opens it up for further expansion in the future.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. First Light and Assembly of GalaxieS (FLAGS) I: The JWST/NIRCam Number Counts and IGL as Constraints on Galaxy Formation Models

    astro-ph.GA 2026-08 conditional novelty 6.0 of 10

    FLAGS-I delivers the deepest JWST/NIRCam number counts to date, new 2.77 and 4.10 micron IGL constraints, and a model comparison that ranks SC-SAM first.

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