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Uncovering Anomalous Gamma-Ray Bursts beyond Duration-based Classification

  • Authors: Shi-Qi Wei, Shuo Xiao, Yan-Qiu Zhang, Zheng-Huo Jiang, Tong-Lei Liao, Meng-Zhen Wang, Yi Wen, Dao-Yi Zhang, Shi-Jie Zhang, Xiang Li, Shao-Wei Xiong, Yang Zhang, Zi-Yi You, Wen-Jun Xiao

Shi-Qi Wei et al 2026 The Astrophysical Journal Letters 1003 .

  • Provider: AAS Journals

Caption: Figure 2.

Distribution of GRBs in the T90–MVT parameter space. Gray circles denote GRBs whose machine-learning classification is consistent with the traditional duration-based classification. Colored squares mark anomalous bursts for which the machine-learning classification disagrees with the conventional T90 criterion. Orange squares represent Type 1 anomalous GRBs (bursts belonging to Type 1 in the t-SNE embedding but with T90 > 2 s), while blue squares indicate Type 2 anomalous GRBs (bursts belonging to Type 2 in the t-SNE embedding but with T90 < 2 s). The dashed vertical line marks the conventional duration boundary between short and long GRBs at T90 = 2 s.

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