By applying a machine-learning algorithm, scientists at the Niels Bohr Institute, University of Copenhagen, have developed a method to classify all gamma-ray bursts (GRBs), rapid highly energetic explosions in distant galaxies, without needing to find an afterglow - by which GRBs are presently categorized. This breakthrough, initiated by first-year B.Sc. students, may prove key in finally discov
Thursday, July 23, 2020
Separating gamma-ray bursts: Students make critical breakthrough
Copenhagen, Denmark (SPX) Jul 20, 2020
By applying a machine-learning algorithm, scientists at the Niels Bohr Institute, University of Copenhagen, have developed a method to classify all gamma-ray bursts (GRBs), rapid highly energetic explosions in distant galaxies, without needing to find an afterglow - by which GRBs are presently categorized. This breakthrough, initiated by first-year B.Sc. students, may prove key in finally discov
By applying a machine-learning algorithm, scientists at the Niels Bohr Institute, University of Copenhagen, have developed a method to classify all gamma-ray bursts (GRBs), rapid highly energetic explosions in distant galaxies, without needing to find an afterglow - by which GRBs are presently categorized. This breakthrough, initiated by first-year B.Sc. students, may prove key in finally discov
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