Primordial feature constraints from BOSS + eBOSS

Author:

Mergulhão Thiago,Beutler Florian,Peacock John A.

Abstract

Abstract Understanding the universe in its pristine epoch is crucial in order to obtain a concise comprehension of the late-time universe. Although current data in cosmology are compatible with Gaussian primordial perturbations whose power spectrum follows a nearly scale-invariant power law, this need not be the case when a fundamental theoretical construction is assumed. These extended models lead to sharp features in the primordial power spectrum, breaking its scale invariance. In this work, we obtain combined constraints on four primordial feature models by using the final data release of the BOSS galaxies and eBOSS quasars. By pushing towards the fundamental mode of these surveys and using the larger eBOSS volume, we were able to extend the feature parameter space (i.e. the feature frequency ω) by a factor of four compared to previous analyses using BOSS. While we did not detect any significant features, previous work showed that next-generation galaxy surveys such as DESI will improve the sensitivity to features by a factor of 7, and will also extend the parameter space by a factor of 2.5.

Publisher

IOP Publishing

Subject

Astronomy and Astrophysics

Reference134 articles.

1. Planck 2018 results. VI. Cosmological parameters;Aghanim;Astron. Astrophys.,2020

2. Planck 2018 results. X. Constraints on inflation;Akrami;Astron. Astrophys.,2020

3. Inflation: Theory and Observations;Achúcarro,2022

4. Features and New Physical Scales in Primordial Observables: Theory and Observation;Chluba;Int. J. Mod. Phys. D,2015

5. Gravitational Effects upon Cosmological Phase Transitions;Vilenkin;Phys. Rev. D,1982

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