The Statistical Similarity of Repeating and Non-Repeating Fast Radio Bursts

Author:

Zhang KongjunORCID,Li LongbiaoORCID,Zhang ZhibinORCID,Li Qinmei,Luo Juanjuan,Jiang Min

Abstract

In this paper, we present a sample of 21 repeating fast radio bursts (FRBs) detected by different radio instruments before September 2021. Using the Anderson–Darling test, we compared the distributions of extra-Galactic dispersion measure (DME) of non-repeating FRBs, repeating FRBs and all FRBs. It was found that the DME values of three sub-samples are log-normally distributed. The DME of repeaters and non-repeaters were drawn from a different distribution on basis of the Mann–Whitney–Wilcoxon test. In addition, assuming that the non-repeating FRBs identified currently may be potentially repeators, i.e., the repeating FRBs to be universal and representative, one can utilize the averaged fluence of repeating FRBs as an indication from which to derive an apparent intensity distribution function (IDF) with a power-law index of a1=1.10±0.14 (a2=1.01±0.16, the observed fluence as a statistical variant), which is in good agreement with the previous IDF of 16 non-repeating FRBs found by Li et al. Based on the above statistics of repeating and non-repeating FRBs, we propose that both types of FRBs may have different cosmological origins, spatial distributions and circum-burst environments. Interestingly, the differential luminosity distributions of repeating and non-repeating FRBs can also be well described by a broken power-law function with the same power-law index of −1.4.

Funder

National Natural Science Foundation of China

Publisher

MDPI AG

Subject

General Physics and Astronomy

Cited by 6 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. Positive and unlabelled machine learning reveals new fast radio burst repeater candidates;Monthly Notices of the Royal Astronomical Society;2024-08-15

2. Host Galaxies for Four Nearby CHIME/FRB Sources and the Local Universe FRB Host Galaxy Population;The Astrophysical Journal Letters;2024-08-01

3. A Comprehensive Analysis of Repeating Fast Radio Bursts;The Astrophysical Journal Supplement Series;2023-10-27

4. Machine learning classification of CHIME fast radio bursts – II. Unsupervised methods;Monthly Notices of the Royal Astronomical Society;2022-12-08

5. Machine learning classification of CHIME fast radio bursts – I. Supervised methods;Monthly Notices of the Royal Astronomical Society;2022-11-09

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