Galaxy correlation function and local density from photometric redshifts using the stochastic order redshift technique (SORT)

Author:

Kakos James1ORCID,Primack Joel R1,Rodríguez-Puebla Aldo2ORCID,Tejos Nicolas3ORCID,Yung L Y Aaron4ORCID,Somerville Rachel S5

Affiliation:

1. Physics Department, University of California , Santa Cruz, CA 95060, USA

2. Instituto de Astronomía, Universidad Nacional Autónoma de México , A.P. 70-264, 04510, CDMX, México

3. Instituto de Física, Pontificia Universidad Católica de Valparaíso , Casilla 4059, Valparaíso, Chile

4. Astrophysics Science Division, NASA Goddard Space Flight Center , 8800 Greenbelt Rd, Greenbelt, MD 20771, USA

5. Center for Computational Astrophysics, Flatiron Institute , 162 5th Ave, New York, NY 10010, USA

Abstract

ABSTRACT The stochastic order redshift technique (sort) is a simple, efficient, and robust method to improve cosmological redshift measurements. The method relies upon having a small (∼10 per cent) reference sample of high-quality redshifts. Within pencil-beam-like sub-volumes surrounding each galaxy, we use the precise dN/dz distribution of the reference sample to recover new redshifts and assign them one-to-one to galaxies such that the original rank order of redshifts is preserved. Preserving the rank order is motivated by the fact that random variables drawn from Gaussian probability density functions with different means but equal standard deviations satisfy stochastic ordering. This process is repeated for sub-volumes surrounding each galaxy in the survey. This results in every galaxy being assigned multiple ‘recovered’ redshifts from which a new redshift estimate is determined. An earlier paper applied sort to a mock Sloan Digital Sky Survey at z ≲ 0.2 and accurately recovered the two-point correlation function (2PCF) on scales ≳ 4 h−1Mpc. In this paper, we test the performance of sort in surveys spanning the redshift range 0.75 < z < 2.25. We used two mock surveys extracted from the Small MultiDark–Planck and Bolshoi–Planck N-body simulations with dark matter haloes that were populated by the Santa Cruz semi-analytic model. We find that sort overall improves redshift estimates, accurately recovers the redshift-space 2PCF ξ(s) on scales ≳ 2.5 h−1Mpc, and provides improved local density estimates in regions of average or higher density, which may allow for improved understanding of how galaxy properties relate to their environments.

Funder

DGAPA

UNAM

NASA

Simons Foundation

Publisher

Oxford University Press (OUP)

Subject

Space and Planetary Science,Astronomy and Astrophysics

Cited by 2 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. Semi-analytic forecasts for Roman – the beginning of a new era of deep-wide galaxy surveys;Monthly Notices of the Royal Astronomical Society;2022-12-08

2. Semi-analytic forecasts for JWST – VI. Simulated light-cones and galaxy clustering predictions;Monthly Notices of the Royal Astronomical Society;2022-07-31

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3