Tied-array beam localization of radio transients and pulsars

Author:

Bezuidenhout M C12ORCID,Clark C J234ORCID,Breton R P2ORCID,Stappers B W2ORCID,Barr E D5ORCID,Caleb M6,Chen W5ORCID,Jankowski F27ORCID,Kramer M3ORCID,Rajwade K8,Surnis M29

Affiliation:

1. Centre for Space Research, North-West University , Potchefstroom 2351, South Africa

2. Jodrell Bank Centre for Astrophysics, University of Manchester , Manchester M13 9PL, UK

3. Max Planck Institute for Gravitational Physics (Albert Einstein Institute) , D-30167 Hannover, Germany

4. Leibniz Universität Hannover , D-30167 Hannover, Germany

5. Max-Planck-Institut für Radioastronomie , Auf dem Hugel 69, D-53121 Bonn, Germany

6. Sydney Institute for Astronomy, School of Physics, The University of Sydney , NSW 2006, Australia

7. LPC2E, Université d’Orléans, CNRS , 3A Avenue de la Recherche Scientifique, F-45071 Orléans, France

8. ASTRON, the Netherlands Institute for Radio Astronomy , Oude Hoogeveensedijk 4, NL-7991 PD Dwingeloo, the Netherlands

9. Department of Physics, IISER Bhopal , Bhauri Bypass Road, Bhopal 462066, India

Abstract

Abstract Multi-element interferometers such as MeerKAT, which observe with high time resolution and have a wide field of view, provide an ideal opportunity to perform real-time, untargeted transient and pulsar searches. However, because of data storage limitations, it is not always feasible to store the baseband data required to image the field of a discovered transient or pulsar. This limits the ability of surveys to effectively localize their discoveries and may restrict opportunities for follow-up science, especially of one-off events like some fast radio bursts. Here, we present a novel maximum-likelihood estimation approach to localizing transients and pulsars detected in multiple MeerKAT tied-array beams at once, which we call tied-array beam localization, as well as a Python implementation of the method named SeeKAT. We provide real-world examples of SeeKAT’s use as well as a Monte Carlo analysis to show that it is capable of localizing single pulses detected in beamformed MeerKAT data to (sub)arcsec precision.

Funder

European Research Council

NWO

Publisher

Oxford University Press (OUP)

Cited by 10 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