Logo del repository
  1. Home
 
Opzioni

Lyman α forest and non-linear structure characterization in Fuzzy Dark Matter cosmologies

Nori, Matteo
•
Murgia, Riccardo
•
Iršič, Vid
altro
Viel, Matteo
2019
  • journal article

Periodico
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
Abstract
Fuzzy Dark Matter (FDM) represents an alternative and intriguing description of the standard Cold Dark Matter fluid, which is able to explain the lack of direct detection of dark matter particles in the GeV sector and to alleviate small-scale tensions in the cosmic large-scale structure formation. Cosmological simulations of FDM models in the literature were performed either with very expensive high-resolution grid-based simulations of individual haloes or through N-body simulations encompassing larger cosmic volumes but resorting on significant approximations in the FDM non-linear dynamics to reduce their computational cost. With the use of the new N-body cosmological hydrodynamical code AX-GADGET, we are now able not only to overcome such numerical problems, but also to combine a fully consistent treatment of FDM dynamics with the presence of gas particles and baryonic physical processes, in order to quantify the FDM impact on specific astrophysical observables. In particular, in this paper we perform and analyse several hydrodynamical simulations in order to constrain the FDM mass by quantifying the impact of FDM on Lyman alpha forest observations, as obtained for the first time in the literature in a N-body set-up without approximating the FDM dynamics. We also study the statistical properties of haloes, exploiting the large available sample, to extract information on how FDM affects the abundance, the shape, and the density profiles of dark matter haloes.
DOI
10.1093/mnras/sty2888
WOS
WOS:000462312600027
Archivio
http://hdl.handle.net/20.500.11767/86217
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85060874577
https://doi.org/10.1093/mnras/sty2888
https://arxiv.org/abs/1809.09619
Diritti
open access
Soggetti
  • methods: numerical

  • dark matter

  • large-scale structure...

  • Settore FIS/02 - Fisi...

  • Settore FIS/05 - Astr...

Scopus© citazioni
65
Data di acquisizione
Jun 14, 2022
Vedi dettagli
Web of Science© citazioni
91
Data di acquisizione
Mar 17, 2024
Visualizzazioni
4
Data di acquisizione
Apr 19, 2024
Vedi dettagli
google-scholar
Get Involved!
  • Source Code
  • Documentation
  • Slack Channel
Make it your own

DSpace-CRIS can be extensively configured to meet your needs. Decide which information need to be collected and available with fine-grained security. Start updating the theme to match your nstitution's web identity.

Need professional help?

The original creators of DSpace-CRIS at 4Science can take your project to the next level, get in touch!

Realizzato con Software DSpace-CRIS - Estensione mantenuta e ottimizzata da 4Science

  • Impostazioni dei cookie
  • Informativa sulla privacy
  • Accordo con l'utente finale
  • Invia il tuo Feedback