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Achieving convergence in galaxy formation models by augmenting N-body merger trees

Benson, A.J.; Cannella, C.; Cole, S.

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Authors

A.J. Benson

C. Cannella



Abstract

Accurate modeling of galaxy formation in a hierarchical, cold dark matter universe requires the use of sufficiently high-resolution merger trees to obtain convergence in the predicted properties of galaxies. When semi-analytic galaxy formation models are applied to cosmological N-body simulation merger trees, it is often the case that those trees have insufficient resolution to give converged galaxy properties. We demonstrate a method to augment the resolution of N-body merger trees by grafting in branches of Monte Carlo merger trees with higher resolution, but which are consistent with the pre-existing branches in the N-body tree. We show that this approach leads to converged galaxy properties.

Citation

Benson, A., Cannella, C., & Cole, S. (2016). Achieving convergence in galaxy formation models by augmenting N-body merger trees. Computational Astrophysics and Cosmology, 3, Article 3. https://doi.org/10.1186/s40668-016-0016-3

Journal Article Type Article
Acceptance Date Aug 17, 2016
Online Publication Date Aug 22, 2016
Publication Date Aug 22, 2016
Deposit Date Sep 28, 2016
Publicly Available Date Oct 6, 2016
Journal Computational Astrophysics and Cosmology
Publisher SpringerOpen
Peer Reviewed Peer Reviewed
Volume 3
Article Number 3
DOI https://doi.org/10.1186/s40668-016-0016-3

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Published Journal Article (2.1 Mb)
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Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/

Copyright Statement
© 2016 Benson et al. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License
(http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium,
provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license,
and indicate if changes were made.





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