English(EN) Confirmation of Binary Clustering in Gamma-Ray Bursts through an Integrated $p$-value from Multiple Nonparametric Tests of Hypotheses

新的统计方法证实了伽马射线暴中的二元聚类

作者 PulseAugur 编辑部 · [2 个来源] · 2026-05-06 10:35

本文介绍了一种新颖的非参数测量方法来分析伽马射线暴数据，利用了高斯混合模型和K-means算法等聚类方法。研究将多种统计检验应用于BATSE目录，并整合它们的p值，以确认短爆发和长爆发这两类不同群体的存在。这种方法解决了先前关于伽马射线暴群体中聚类数量的争论。 AI

排序理由该集群包含一篇在arXiv上发表的学术论文，详细介绍了一种分析天体物理数据的新统计方法。[lever_c_demoted from research: ic=2 ai=0.1]

AI 生成摘要 · Google Gemini · 来自 2 个来源。我们如何撰写摘要 →

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arXiv stat.ML TIER_1 English(EN) · Soumita Modak · 2026-05-07 04:00

Confirmation of Binary Clustering in Gamma-Ray Bursts through an Integrated $p$-value from Multiple Nonparametric Tests of Hypotheses

arXiv:2605.04739v1 Announce Type: cross 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 clus…
arXiv stat.ML TIER_1 English(EN) · Soumita Modak · 2026-05-06 10:35

Confirmation of Binary Clustering in Gamma-Ray Bursts through an Integrated $p$-value from Multiple Nonparametric Tests of Hypotheses

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 a…