| | |
| | |
Stat |
Members: 3645 Articles: 2'504'928 Articles rated: 2609
25 April 2024 |
|
| | | |
|
Article overview
| |
|
The Horizon-AGN simulation: evolution of galaxy properties over cosmic time | S. Kaviraj
; C. Laigle
; T. Kimm
; J. E. G. Devriendt
; Y. Dubois
; C. Pichon
; A. Slyz
; E. Chisari
; S. Peirani
; | Date: |
30 May 2016 | Abstract: | We compare the predictions of Horizon-AGN, a hydro-dynamical cosmological
simulation that uses an adaptive mesh refinement code, to observational data in
the redshift range 0<z<6. We study the reproduction, by the simulation, of
quantities that trace the aggregate stellar-mass growth of galaxies over cosmic
time: luminosity and stellar-mass functions, the star formation main sequence,
rest-frame UV-optical-near infrared colours and the cosmic star-formation
history. We show that Horizon-AGN, which is not tuned to reproduce the local
Universe, produces good overall agreement with these quantities, from the
present day to the epoch when the Universe was 5% of its current age. By
comparison to Horizon-noAGN, a twin simulation without AGN feedback, we
quantify how feedback from black holes is likely to help shape galaxy
stellar-mass growth in the redshift range 0<z<6, particularly in the most
massive galaxies. Our results demonstrate that Horizon-AGN successfully
captures the evolutionary trends of observed galaxies over the lifetime of the
Universe, making it an excellent tool for studying the processes that drive
galaxy evolution and making predictions for the next generation of galaxy
surveys. | Source: | arXiv, 1605.9379 | Services: | Forum | Review | PDF | Favorites |
|
|
No review found.
Did you like this article?
Note: answers to reviews or questions about the article must be posted in the forum section.
Authors are not allowed to review their own article. They can use the forum section.
browser Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; +claudebot@anthropic.com)
|
| |
|
|
|
| News, job offers and information for researchers and scientists:
| |