Confirmation of binary clustering in gamma-ray bursts through an integrated p-value from multiple nonparametric tests of hypotheses

IF 1.8 4区 物理与天体物理 Q2 ASTRONOMY & ASTROPHYSICS Astronomy and Computing Pub Date : 2025-04-01 Epub Date: 2025-01-31 DOI:10.1016/j.ascom.2025.100931
S. Modak
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Abstract

The paper applies a new, nonparametric, interpoint distance-based measure to confirm the inherent groups prevailing in the brightest source of light in the universe: gamma-ray bursts. Our effective metric, in association with clustering methods like Gaussian-mixture model-based and K-means algorithms, resolves the conflict regarding the possibility about existence of more than binary clusters in the gamma-ray burst population. Here we carry out multiple nonparametric statistical tests of hypotheses, as many as the number of bursts available from the ‘BATSE’ catalog. An integrated p-value achieved from the aforesaid dependent tests solves our concern confirming two groups of short and long bursts.
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通过多个非参数假设检验的积分p值确认伽玛射线爆发中的二元聚类
本文采用了一种新的、非参数的、基于点间距离的测量方法来确定宇宙中最亮的光源——伽马射线暴中普遍存在的固有群。我们的有效度量与基于高斯混合模型和K-means算法等聚类方法相结合,解决了关于伽马暴种群中存在多个二元星团的可能性的冲突。在这里,我们对假设进行了多个非参数统计检验,与“BATSE”目录中可用的爆发数量一样多。从上述相关检验中获得的综合p值解决了我们确认两组短爆发和长爆发的问题。
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来源期刊
Astronomy and Computing
Astronomy and Computing ASTRONOMY & ASTROPHYSICSCOMPUTER SCIENCE,-COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
CiteScore
4.10
自引率
8.00%
发文量
67
期刊介绍: Astronomy and Computing is a peer-reviewed journal that focuses on the broad area between astronomy, computer science and information technology. The journal aims to publish the work of scientists and (software) engineers in all aspects of astronomical computing, including the collection, analysis, reduction, visualisation, preservation and dissemination of data, and the development of astronomical software and simulations. The journal covers applications for academic computer science techniques to astronomy, as well as novel applications of information technologies within astronomy.
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