J. He
Effective dark matter halo catalog in f(R) gravity
He, J.; Hawken, A.J.; Li, B.; Guzzo, L.
Abstract
We introduce the idea of an effective dark matter halo catalog in f(R) gravity, which is built using the effective density field. Using a suite of high resolution N-body simulations, we find that the dynamical properties of halos, such as the distribution of density, velocity dispersion, specific angular momentum and spin, in the effective catalog of f(R) gravity closely mimic those in the cold dark matter model with a cosmological constant (ΛCDM). Thus, when using effective halos, an f(R) model can be viewed as a ΛCDM model. This effective catalog therefore provides a convenient way for studying the baryonic physics, the galaxy halo occupation distribution and even semianalytical galaxy formation in f(R) cosmologies.
Citation
He, J., Hawken, A., Li, B., & Guzzo, L. (2015). Effective dark matter halo catalog in f(R) gravity. Physical Review Letters, 115(7), https://doi.org/10.1103/physrevlett.115.071306
Journal Article Type | Article |
---|---|
Acceptance Date | Jul 28, 2015 |
Publication Date | Aug 14, 2015 |
Deposit Date | Aug 17, 2015 |
Publicly Available Date | Mar 29, 2024 |
Journal | Physical Review Letters |
Print ISSN | 0031-9007 |
Electronic ISSN | 1079-7114 |
Publisher | American Physical Society |
Peer Reviewed | Peer Reviewed |
Volume | 115 |
Issue | 7 |
DOI | https://doi.org/10.1103/physrevlett.115.071306 |
Related Public URLs | http://arxiv.org/abs/1501.00846 |
Files
Published Journal Article
(1.5 Mb)
PDF
Copyright Statement
Reprinted with permission from the American Physical Society: Physical Review Letters 115, 071306 © 2015 by the American Physical Society. Readers may view, browse, and/or download material for temporary copying purposes only, provided these uses are for noncommercial personal purposes. Except as provided by law, this material may not be further reproduced, distributed, transmitted, modified, adapted, performed, displayed, published, or sold in whole or part, without prior written permission from the American Physical Society.
You might also like
Where shadows lie: reconstruction of anisotropies in the neutrino sky
(2023)
Journal Article
Machine learning and structure formation in modified gravity
(2023)
Journal Article
MGLENS: Modified gravity weak lensing simulations for emulation-based cosmological inference
(2023)
Journal Article
Upscaling ExaHyPE – on each and every core
(2023)
Report
Downloadable Citations
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search