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Published September 1, 2010 | Published
Journal Article Open

Analytic and numerical realizations of a disc galaxy

Abstract

Recent focus on the importance of cold, unshocked gas accretion in galaxy formation – not explicitly included in semi-analytic studies – motivates the following detailed comparison between two inherently different modelling techniques: direct hydrodynamical simulation and semi-analytic modelling. By analysing the physical assumptions built into the gasoline simulation, formulae for the emergent behaviour are derived which allow immediate and accurate translation of these assumptions to the galform semi-analytic model. The simulated halo merger history is then extracted and evolved using these equivalent equations, predicting a strikingly similar galactic system. This exercise demonstrates that it is the initial conditions and physical assumptions which are responsible for the predicted evolution, not the choice of modelling technique. On this level playing field, a previously published galform model is applied (including additional physics such as chemical enrichment and feedback from active galactic nuclei) which leads to starkly different predictions.

Additional Information

© 2010 The Authors. Journal compilation © 2010 RAS. Accepted 2010 April 26. Received 2010 April 23; in original form 2009 August 24. Article first published online: 15 July 2010. The authors would primarily like to thank the KITP, Santa Barbara, for their hospitality, supported in part by the National Science Foundation under Grant No. PHY05-51164, without which this interdisciplinary study would not have taken place. AMB acknowledges support from the Sherman Fairchild Foundation. AJB acknowledges support from the Gordon & Betty Moore Foundation. FG acknowledges support from the HST GO-1125, NSF AST-0607819 and NASA ATP NNX08AG84G grants. Thanks go to Richard Bower, Shaun Cole and Carlos Frenk for their very helpful comments. Also, they and their colleagues Carlton Baugh, John Helly, Cedric Lacey and Rowena Malbon allowed us to use the GALFORM semi-analytic model of galaxy formation (http://www.galform.org) in this work, for which we are extremely grateful.

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August 22, 2023
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