Fast radio bursts: do repeaters and non-repeaters originate in statistically similar ensembles
Xiang-Han Cui, Cheng-Min Zhang, Shuang-Qiang Wang, Jian-Wei Zhang, Di, Li, Bo Peng, Wei-Wei Zhu, Na Wang, Richard Strom, Chang-Qing Ye, De-Hua Wang,, Yi-Yan Yang

TL;DR
This study statistically analyzes repeating and non-repeating Fast Radio Bursts (FRBs) to determine if they originate from similar or different sources, revealing distinct statistical properties and supporting the idea of different origins.
Contribution
The paper applies statistical tests to FRB data, demonstrating that repeaters and non-repeaters likely have different origins based on their distribution properties.
Findings
Repeating FRBs do not follow Gaussian statistics, possibly fitting a chi-square distribution.
Non-repeating FRBs follow Gaussian distribution, indicating different statistical behavior.
Statistical tests suggest that repeaters and non-repeaters originate from different physical processes.
Abstract
Fast Radio Bursts (FRBs) are the short, strong radio pulses lasting several milliseconds. They are subsequently identified, for the most part, as emanating from unknown objects at cosmological distances. At present, over one hundred FRBs have been verified, classified into two groups: repeating bursts (20 samples) and apparently non-repeating bursts (91 samples). Their origins, however, are still hotly debated. Here,we investigate the statistical classifications for the two groups of samples to see if the non-repeating and repeating FRBs have different origins by employing Anderson-Darling (A-D) test and Mann-Whitney-Wilcoxon (M-W-W) test. Firstly, by taking the pulse width as a statistical variant, we found that the repeating samples do not follow the Gaussian statistics (may belong to a chi-square distribution), although the overall data and non-repeating group do follow the Gaussian.…
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