Halo mass function in scale invariant models

Author:

Gavas Swati1,Bagla Jasjeet1ORCID,Khandai Nishikanta23ORCID,Kulkarni Girish4ORCID

Affiliation:

1. IISER Mohali , Knowledge City, Sector 81, SAS Nagar, Manauli PO 140306, Punjab, India

2. School of Physical Sciences, National Institute of Science Education and Research , Jatni 752050, India

3. Homi Bhabha National Institute, Training School Complex, Anushaktinagar , Mumbai 400094, India

4. Tata Institute of Fundamental Research , Homi Bhabha Road, Mumbai 400005, India

Abstract

ABSTRACTSheth–Tormen mass function has been widely used to quantify the abundance of dark matter haloes. It is a significant improvement over the Press–Schechter mass function as it uses ellipsoidal collapse in place of spherical collapse. Both of these mass functions can be written in a form that is universal, i.e. independent of cosmology and power spectrum when scaled in suitable variables. However, cosmological simulations have shown that this universality is approximate. In this paper, we investigate the power spectrum dependence of halo mass function through a suite of dark-matter-only N-body simulations of seven power-law models in an Einstein–de Sitter cosmology. This choice of cosmology and a power-law power spectrum ensures the self-similar evolution of dark matter distribution, allowing us to isolate the power spectrum dependence of mass function. We find that the mass function shows a clear non-universality. We present fits for the parameters of the Sheth–Tormen mass function for a range of power-law power spectrum indices. We find a mild evolution in the overall shape of the mass function with the epoch. Finally, we extend our result to LCDM cosmology. We show that the Sheth–Tormen mass function with parameter values derived from a matched power-law Einstein–de Sitter cosmology provides a better fit to the LCDM mass function than the standard Sheth–Tormen mass function. Our results indicate that an improved analytical theory is required to provide better fits to the mass function.

Funder

Department of Atomic Energy, Government of India

Max Planck Society

Publisher

Oxford University Press (OUP)

Subject

Space and Planetary Science,Astronomy and Astrophysics

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Deep learning insights into non-universality in the halo mass function;Monthly Notices of the Royal Astronomical Society;2024-07-10

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