首页|Study Data from Aryabhatta Research Institute of Observational Sciences Provide New Insights into Machine Learning (Diversity in Fermi/GBM Gamma-Ray Bursts: New Insights from Machine Learning)
Study Data from Aryabhatta Research Institute of Observational Sciences Provide New Insights into Machine Learning (Diversity in Fermi/GBM Gamma-Ray Bursts: New Insights from Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on artificial intelligence are presented in a new report. According to news originating from the Aryabhatta Research Institute of Observational Sciences by NewsRx correspondents, research stated, “Classification of gamma-ray bursts (GRBs) has been a long-standing puz zle in high-energy astrophysics.” The news editors obtained a quote from the research from Aryabhatta Research Ins titute of Observational Sciences: “Recent observations challenge the traditional short versus long viewpoint, where long GRBs are thought to originate from the collapse of massive stars and short GRBs from compact binary mergers. Machine le arning (ML) algorithms have been instrumental in addressing this problem, reveal ing five distinct GRB groups within the Swift Burst Alert Telescope (BAT) light- curve data, two of which are associated with kilonovae (KNe). In this work, we e xtend our analysis to the Fermi Gamma-ray Burst Monitor catalog and identify fiv e clusters using unsupervised ML techniques, consistent with the Swift/BAT resul ts. These five clusters are well separated in the fluence-duration plane, hintin g at a potential link between fluence, duration, and complexities (or structures ) in the light curves of GRBs. Further, we confirm two distinct classes of KN-as sociated GRBs. The presence of GRB 170817A in one of the two KN-associated clust ers lends evidence to the hypothesis that this class of GRBs could potentially b e produced by binary neutron star mergers.”
Aryabhatta Research Institute of Observa tional SciencesCyborgsEmerging TechnologiesMachine Learning
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