A Caltech Library Service

Clustering in the Simulated Hα Galaxy Redshift Survey from Nancy Grace Roman Space Telescope

Zhai, Zhongxu and Chuang, Chia-Hsun and Wang, Yun and Benson, Andrew and Yepes, Gustavo (2020) Clustering in the Simulated Hα Galaxy Redshift Survey from Nancy Grace Roman Space Telescope. . (Unpublished)

[img] PDF - Submitted Version
See Usage Policy.


Use this Persistent URL to link to this item:


We present a realistic 2000 deg² Hα galaxy mock catalog with 1 < z < 2 for the Nancy Grace Roman Space Telescope galaxy redshift survey, the High Latitude Spectroscopic Survey (HLSS), created using Galacticus, a semi-analytical galaxy formation model, and high resolution cosmological N-body simulations. Galaxy clustering can probe dark energy and test gravity via baryon acoustic oscillation (BAO) and redshift space distortion (RSD) measurements. Using our realistic mock as the simulated Roman HLSS data, and a covariance matrix computed using a large set of approximate mocks created using EZmock, we investigate the expected precision and accuracy of the BAO and RSD measurements using the same analysis techniques used in analyzing real data. We find that the Roman Hα galaxy survey alone can measure the angular diameter distance with 2% uncertainty, the Hubble parameter with 3-6% uncertainty, and the linear growth parameter with 7% uncertainty, in each of four redshift bins. Our realistic forecast illustrates the power of the Roman galaxy survey in probing the nature of dark energy and testing gravity.

Item Type:Report or Paper (Discussion Paper)
Related URLs:
URLURL TypeDescription Paper
Zhai, Zhongxu0000-0001-7984-5476
Chuang, Chia-Hsun0000-0002-3882-078X
Benson, Andrew0000-0001-5501-6008
Additional Information:© 2015 The Authors. This work is supported in part by NASA grant 15-WFIRST15-0008, Cosmology with the High Latitude Survey Roman Science Investigation Team (SIT). GY would like to thank MICIU/FEDER (Spain) for financial support under project grant PGC2018-094975-B-C21. The UNIT simulations have been done in the MareNostrum Supercomputer at the Barcelona Supercomputing Center (Spain) thanks to the cpu time awarded by PRACE under project grant number 2016163937. This work used the Extreme Science and Engineering Discovery Environment (XSEDE), which is supported by National Science Foundation grant number ACI-1548562 (Towns et al. 2014) Software: Python, Matplotlib (Hunter 2007), NumPy (van der Walt et al. 2011), SciPy (Jones et al. 01 ), George (Ambikasaran et al. 2015), emcee (Foreman-Mackey et al. 2013b), Hankel (Murray & Poulin 2019).
Group:Infrared Processing and Analysis Center (IPAC)
Funding AgencyGrant Number
Ministerio de Ciencia, Innovación y Universidades (MICIU)UNSPECIFIED
Fondo Europeo de Desarrollo Regional (FEDER)PGC2018-094975-B-C21
Partnership for Advanced Computing in Europe2016163937
Subject Keywords:galaxies: formation; cosmology: large-scale structure of universe - methods: numerical - methods: statistical
Record Number:CaltechAUTHORS:20200908-133848337
Persistent URL:
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:105271
Deposited By: Tony Diaz
Deposited On:08 Sep 2020 20:59
Last Modified:08 Sep 2020 20:59

Repository Staff Only: item control page