MoMaF : The Mock Map Facility

We present the Mock Map Facility, a powerful tool to generate mock catalogues or images from semi-analytically post-processed snapshots of cosmological N-body simulations. The paper describes in detail an efficient technique to create such mocks from the GALICS semi-analytic model, providing the rea...

Ամբողջական նկարագրություն

Մատենագիտական մանրամասներ
Հիմնական հեղինակներ: Blaizot, J, Wadadekar, Y, Guiderdoni, B, Colombi, S, Bertin, E, Bouchet, F, Devriendt, J, Hatton, S
Ձևաչափ: Journal article
Լեզու:English
Հրապարակվել է: 2003
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author Blaizot, J
Wadadekar, Y
Guiderdoni, B
Colombi, S
Bertin, E
Bouchet, F
Devriendt, J
Hatton, S
author_facet Blaizot, J
Wadadekar, Y
Guiderdoni, B
Colombi, S
Bertin, E
Bouchet, F
Devriendt, J
Hatton, S
author_sort Blaizot, J
collection OXFORD
description We present the Mock Map Facility, a powerful tool to generate mock catalogues or images from semi-analytically post-processed snapshots of cosmological N-body simulations. The paper describes in detail an efficient technique to create such mocks from the GALICS semi-analytic model, providing the reader with an accurate quantification of the artifacts it introduces at every step. We show that replication effects introduce a negative bias on the clustering signal -- typically peaking at less than 10 percent around the correlation length. We also thoroughly discuss how the clustering signal is affected by finite volume effects, and show that it vanishes at scales larger than about a tenth of the simulation box size. For the purpose of analysing our method, we show that number counts and redshift distributions obtained with GALICS and MOMAF compare well to K-band observations and to the 2dFGRS. Given finite volume effects, we also show that the model can reproduce the APM angular correlation function. The MOMAF results discussed here are made publicly available to the astronomical community through a public database. Moreover, a user-friendly Web interface (http://galics.iap.fr) allows any user to recover her/his own favourite galaxy samples through simple SQL queries. The flexibility of this tool should permit a variety of uses ranging from extensive comparisons between real observations and those predicted by hierarchical models of galaxy formation, to the preparation of observing strategies for deep surveys and tests of data processing pipelines.
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spelling oxford-uuid:a4a0c548-a8e7-41ff-83db-a99ab0aed3162022-03-27T02:35:08ZMoMaF : The Mock Map FacilityJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:a4a0c548-a8e7-41ff-83db-a99ab0aed316EnglishSymplectic Elements at Oxford2003Blaizot, JWadadekar, YGuiderdoni, BColombi, SBertin, EBouchet, FDevriendt, JHatton, SWe present the Mock Map Facility, a powerful tool to generate mock catalogues or images from semi-analytically post-processed snapshots of cosmological N-body simulations. The paper describes in detail an efficient technique to create such mocks from the GALICS semi-analytic model, providing the reader with an accurate quantification of the artifacts it introduces at every step. We show that replication effects introduce a negative bias on the clustering signal -- typically peaking at less than 10 percent around the correlation length. We also thoroughly discuss how the clustering signal is affected by finite volume effects, and show that it vanishes at scales larger than about a tenth of the simulation box size. For the purpose of analysing our method, we show that number counts and redshift distributions obtained with GALICS and MOMAF compare well to K-band observations and to the 2dFGRS. Given finite volume effects, we also show that the model can reproduce the APM angular correlation function. The MOMAF results discussed here are made publicly available to the astronomical community through a public database. Moreover, a user-friendly Web interface (http://galics.iap.fr) allows any user to recover her/his own favourite galaxy samples through simple SQL queries. The flexibility of this tool should permit a variety of uses ranging from extensive comparisons between real observations and those predicted by hierarchical models of galaxy formation, to the preparation of observing strategies for deep surveys and tests of data processing pipelines.
spellingShingle Blaizot, J
Wadadekar, Y
Guiderdoni, B
Colombi, S
Bertin, E
Bouchet, F
Devriendt, J
Hatton, S
MoMaF : The Mock Map Facility
title MoMaF : The Mock Map Facility
title_full MoMaF : The Mock Map Facility
title_fullStr MoMaF : The Mock Map Facility
title_full_unstemmed MoMaF : The Mock Map Facility
title_short MoMaF : The Mock Map Facility
title_sort momaf the mock map facility
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AT bertine momafthemockmapfacility
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