60 citations · 76 across the 9 of their papers we have counts for
4 papers · 1 filter
Unveiling Hidden Clustering: An Unsupervised Machine Learning Study of Repeating FRB 20220912A
An-Chieh Hsu, Tetsuya Hashimoto, Tomotsugu Goto +2
Fast Radio Bursts (FRBs) are millisecond-duration radio transients of extragalactic origin. Classifying repeating FRBs is essential for understanding their emission mechanisms, but…
Revisiting the Mysterious Origin of FRB 20121102A with Machine-learning Classification
Leah Ya-Ling Lin, Tetsuya Hashimoto, Tomotsugu Goto +5
Fast radio bursts (FRBs) are millisecond-duration radio waves from the Universe. Even though more than 50 physical models have been proposed, the origin and physical mechanism of F…
Machine Learning Classification of Repeating FRBs from FRB121102
Bjorn Jasper R. Raquel, Tetsuya Hashimoto, Tomotsugu Goto +5
Fast Radio Bursts (FRBs) are mysterious bursts in the millisecond timescale at radio wavelengths. Currently, there is little understanding about the classification of repeating FRB…
Classifying a frequently repeating fast radio burst, FRB 20201124A, with unsupervised machine learning
Bo Han Chen, Tetsuya Hashimoto, Tomotsugu Goto +5
Fast radio bursts (FRBs) are astronomical transients with millisecond timescales. Although most of the FRBs are not observed to repeat, a few of them are detected to repeat more th…