English

Cosmological Parameter Estimation Using the Genus Amplitude - Application to Mock Galaxy Catalogs

Cosmology and Nongalactic Astrophysics 2018-01-24 v1

Abstract

We study the topology of the matter density field in two dimensional slices, and consider how we can use the amplitude AA of the genus for cosmological parameter estimation. Using the latest Horizon Run 4 simulation data, we calculate the genus of the smoothed density field constructed from lightcone mock galaxy catalogs. Information can be extracted from the amplitude of the genus by considering both its redshift evolution and magnitude. The constancy of the genus amplitude with redshift can be used as a standard population, from which we derive constraints on the equation of state of dark energy wdew_{\rm de} - by measuring AA at z0.1z \sim 0.1 and z1z \sim 1, we can place an order ΔwdeO(15%)\Delta w_{\rm de} \sim {\cal O}(15\%) constraint on wdew_{\rm de}. By comparing AA to its Gaussian expectation value we can potentially derive an additional stringent constraint on the matter density ΔΩmat0.01\Delta \Omega_{\rm mat} \sim 0.01. We discuss the primary sources of contamination associated with the two measurements - redshift space distortion and shot noise. With accurate knowledge of galaxy bias, we can successfully remove the effect of redshift space distortion, and the combined effect of shot noise and non-linear gravitational evolution is suppressed by smoothing over suitably large scales RG15Mpc/hR_{\rm G} \ge 15 {\rm Mpc}/h. Without knowledge of the bias, we discuss how joint measurements of the two and three dimensional genus can be used to constrain the growth factor β=f/b\beta = f/b. The method can be applied optimally to redshift slices of a galaxy distribution generated using the drop-off technique.

Keywords

Cite

@article{arxiv.1801.06342,
  title  = {Cosmological Parameter Estimation Using the Genus Amplitude - Application to Mock Galaxy Catalogs},
  author = {Stephen Appleby and Changbom Park and Sungwook E. Hong and Juhan Kim},
  journal= {arXiv preprint arXiv:1801.06342},
  year   = {2018}
}

Comments

Published 01/2018. 15 pages, 10 figures

R2 v1 2026-06-22T23:49:38.634Z