000112488 001__ 112488
000112488 005__ 20240319080950.0
000112488 0247_ $$2doi$$a10.1093/mnras/stab3337
000112488 0248_ $$2sideral$$a128389
000112488 037__ $$aART-2022-128389
000112488 041__ $$aeng
000112488 100__ $$aOndaro-Mallea, Lurdes
000112488 245__ $$aNon-universality of the mass function: Dependence on the growth rate and power spectrum shape
000112488 260__ $$c2022
000112488 5060_ $$aAccess copy available to the general public$$fUnrestricted
000112488 5203_ $$aThe 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).
000112488 536__ $$9info:eu-repo/grantAgreement/EC/ERC/716151 /EU/Bias and Clustering Calculations Optimised: Maximising discovery with galaxy surveys/BACCO$$9info:eu-repo/grantAgreement/ES/MICINN/FJCI-2017-33816
000112488 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
000112488 590__ $$a4.8$$b2022
000112488 592__ $$a1.734$$b2022
000112488 591__ $$aASTRONOMY & ASTROPHYSICS$$b17 / 69 = 0.246$$c2022$$dQ1$$eT1
000112488 593__ $$aSpace and Planetary Science$$c2022$$dQ1
000112488 593__ $$aAstronomy and Astrophysics$$c2022$$dQ1
000112488 594__ $$a9.5$$b2022
000112488 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000112488 700__ $$aAngulo, Raul E.
000112488 700__ $$aZennaro, Matteo
000112488 700__ $$aContreras, Sergio
000112488 700__ $$aAricò, Giovanni
000112488 773__ $$g509, 4 (2022), 6077-6090$$pMon. not. R. Astron. Soc.$$tMONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY$$x0035-8711
000112488 8564_ $$s2374910$$uhttps://zaguan.unizar.es/record/112488/files/texto_completo.pdf$$yVersión publicada
000112488 8564_ $$s2842761$$uhttps://zaguan.unizar.es/record/112488/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000112488 909CO $$ooai:zaguan.unizar.es:112488$$particulos$$pdriver
000112488 951__ $$a2024-03-18-12:57:39
000112488 980__ $$aARTICLE