Non-universality of the mass function: Dependence on the growth rate and power spectrum shape
Resumen: The abundance of dark matter haloes is one of the key probes of the growth of structure and expansion history of the Universe. Theoretical predictions for this quantity usually assume that, when expressed in a certain form, it depends only on the mass variance of the linear density field. Ho we v er, cosmological simulations hav e rev ealed that this assumption breaks, leading to 10-20 per cent systematic effects. In this paper, we employ a specially designed suite of simulations to further investigate this problem. Specifically, we carry out cosmological N -body simulations where we systematically v ary gro wth history at a fixed linear density field, or vary the power spectrum shape at a fixed growth history. We show that the halo mass function generically depends on these quantities, thus showing a clear signal of non-universality. Most of this effect can be traced back to the way in which the same linear fluctuation grows differently into the non-linear regime depending on details of its assembly history. With these results, we propose a parameterization with explicit dependence on the linear growth rate and power spectrum shape. Using an independent suite of simulations, we show that this fitting function accurately captures the mass function of haloes o v er cosmologies spanning a vast parameter space, including massive neutrinos and dynamical dark energy. Finally, we employ this tool to impro v e the accuracy of so-called cosmology-rescaling methods and show they can deliver 2 per cent accurate predictions for the halo mass function o v er the whole range of currently viable cosmologies. © 2021 The Author(s).
Idioma: Inglés
DOI: 10.1093/mnras/stab3337
Año: 2022
Publicado en: MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY 509, 4 (2022), 6077-6090
ISSN: 0035-8711

Factor impacto JCR: 4.8 (2022)
Categ. JCR: ASTRONOMY & ASTROPHYSICS rank: 17 / 69 = 0.246 (2022) - Q1 - T1
Factor impacto CITESCORE: 9.5 - Earth and Planetary Sciences (Q1) - Physics and Astronomy (Q1)

Factor impacto SCIMAGO: 1.734 - Space and Planetary Science (Q1) - Astronomy and Astrophysics (Q1)

Financiación: info:eu-repo/grantAgreement/EC/ERC/716151 /EU/Bias and Clustering Calculations Optimised: Maximising discovery with galaxy surveys/BACCO
Financiación: info:eu-repo/grantAgreement/ES/MICINN/FJCI-2017-33816
Tipo y forma: Artículo (Versión definitiva)

Creative Commons Debe reconocer adecuadamente la autoría, proporcionar un enlace a la licencia e indicar si se han realizado cambios. Puede hacerlo de cualquier manera razonable, pero no de una manera que sugiera que tiene el apoyo del licenciador o lo recibe por el uso que hace. No puede utilizar el material para una finalidad comercial. Si remezcla, transforma o crea a partir del material, no puede difundir el material modificado.


Exportado de SIDERAL (2024-03-18-12:57:39)


Visitas y descargas

Este artículo se encuentra en las siguientes colecciones:
Artículos



 Registro creado el 2022-05-27, última modificación el 2024-03-19


Versión publicada:
 PDF
Valore este documento:

Rate this document:
1
2
3
 
(Sin ninguna reseña)