Analyses of overlapping gravitational wave signals using hierarchical subtraction and joint parameter estimation

Author:

Janquart Justin12,Baka Tomasz12,Samajdar Anuradha3ORCID,Dietrich Tim34,Van Den Broeck Chris12

Affiliation:

1. Nikhef - National Institute for Subatomic Physics, Science Park , NL-1098 XG Amsterdam , The Netherlands

2. Institute for Gravitational and Subatomic Physics (GRASP), Department of Physics, Utrecht University , Princetonplein 1, NL-3584 CC Utrecht , The Netherlands

3. Institut für Physik und Astronomie, Universität Potsdam , Haus 28, Karl-Liebknecht-Street 24/25, D-14476 Potsdam , Germany

4. Max Planck Institute for Gravitational Physics (Albert Einstein Institute) , Am Mühlenberg 1, D-14476 Potsdam , Germany

Abstract

ABSTRACT In the coming years, third-generation detectors such as Einstein Telescope and Cosmic Explorer will enter the network of ground-based gravitational-wave detectors. Their current design predicts a significantly improved sensitivity band with a lower minimum frequency than existing detectors. This, combined with the increased arm length, leads to two major effects: the detection of more signals and the detection of longer signals. Both will result in a large number of overlapping signals. It has been shown that such overlapping signals can lead to biases in the recovered parameters, which would adversely affect the science extracted from the observed binary merger signals. In this work, we analyse overlapping binary black hole coalescences with two methods to analyse multisignal observations: hierarchical subtraction and joint parameter estimation. We find that these methods enable a reliable parameter extraction in most cases and that joint parameter estimation is usually more precise but comes with higher computational costs.

Funder

NWO

Alexander von Humboldt-Stiftung

National Science Foundation

STFC

Publisher

Oxford University Press (OUP)

Subject

Space and Planetary Science,Astronomy and Astrophysics

Cited by 3 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

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