标题： 从费米GBM伽马射线暴目录中识别潜在的双中子星合并事件 显示英文标题

标题： Identifying potential binary neutron star merger events from the Fermi GBM Gamma-Ray Burst Catalog

摘要： 短伽马射线暴预计与致密天体合并有关，例如双中子星或中子星-黑洞系统，并且是关键的高能多信使事件。 GRB 170817A的探测与来自双中子星合并的引力波信号GW170817同时发生，证实了sGRBs与致密天体合并之间的联系。 同样，GRB 150101B与GRB 170817A表现出显著的相似性，进一步支持其与致密双星合并的关联。 本研究的目的是通过分析费米GBM爆发目录并使用GRB 170817A和GRB 150101B作为参考事件，揭示区分合并相关sGRBs与其他GRBs的固有特性，从而增强我们从这一类中选择事件的能力，并及时搜索它们的电磁对应体。 我们采用了一种聚类技术，根据伽马射线中的观测特性（T90、Epeak和通量）对GRBs进行分类。 在聚类之前，我们测试了三种降维技术，其中统一流形近似和投影表现最佳，因此成为我们分析的首选技术。 这种降维与聚类分析的结合使我们能够将具有相似特征的GRBs分组，并重点识别最可能与BNS合并相关的GRBs。 我们的分析成功识别出一组与sGRB合并相关的sGRBs事件。 我们候选样本与通过其他方法识别的已知与sGRBs相关的千新星候选者之间的比较，进一步验证了我们的方法。 显示英文摘要

摘要： Short gamma-ray bursts are expected to be associated with compact object mergers, such as binary neutron star or neutron star-black hole systems, and are key high-energy multimessenger events. The detection of GRB 170817A, coinciding with the gravitational wave signal GW170817 from a BNS merger, confirmed the link between sGRBs and compact object mergers. Similarly, GRB 150101B displayed remarkable similarities to GRB 170817A, further supporting its association with compact binary mergers. The objective of this study is to uncover the intrinsic properties that differentiate merger-associated sGRBs from other GRBs by analyzing the Fermi GBM Burst Catalog and using GRB 170817A and GRB 150101B as reference events, enhancing our ability to select events from this class and promptly to search for their electromagnetic counterpart. We employed a clustering technique to classify GRBs based on their observed properties in gamma-rays (T90, Epeak and fluence). Prior to clustering, we tested three dimensionality reduction techniques, among which Uniform Manifold Approximation and Projection demonstrated the best performance making it the preferred technique for our analysis. This combination of dimensionality reduction and clustering analysis allowed us to group GRBs with similar characteristics, with a focus on identifying those most likely associated with BNS mergers. Our analysis successfully identified a cluster of sGRBs events with characteristics consistent with sGRB merger-associated. A comparison between our sample of candidates and known kilonova candidates associated with sGRBs, identified through other methodologies, further validated our approach.