Constraints on the Epoch of Reionization with Roman Space Telescope and the Void Probability Function of Lyα Emitters

Author:

Perez Lucia A.ORCID,Malhotra SangeetaORCID,Rhoads James E.ORCID,Wold Isak G. B.ORCID

Abstract

Abstract We use large simulations of Lyα emitters with different fractions of ionized intergalactic medium to quantify the clustering of Lyα emitters as measured by the void probability function (VPF), and how it evolves under different ionization scenarios. We quantify how well we might be able to distinguish between these scenarios with a deep spectroscopic survey using the future Nancy Grace Roman Space Telescope. Because Roman will be able to carry out blind spectroscopic surveys of Lyα emitters continuously between 7 < z < 12 to sensitivities of at least 10−17 erg s−1 over a wide field of view, it can measure the epoch of reionization as well as the pace of ionization of the intergalactic medium (IGM). We compare deep Roman surveys covering roughly 1, 4, and 16 deg2, and quantify what constraints on reionization the VPF may find for these surveys. A survey of 1 deg2 would distinguish between very late reionization and early reionization to 3σ near z = 7.7 with the VPF. The VPF of a 4 deg2 survey can distinguish between slow versus fast, as well as early versus late, reionization at >3σ–4σ at several redshifts between 7 < z < 9. However, a survey of 13–16 deg2 would allow the VPF to give several robust constraints (>5–8σ) across the epoch of reionization, and would yield a detailed history of the reionization of the IGM and its effect on Lyα emitter clustering.

Publisher

American Astronomical Society

Subject

Space and Planetary Science,Astronomy and Astrophysics

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