How Artificial Intelligence Can Find the Source of Gamma-Ray Bursts - by PaulMattSutter
Gamma-ray bursts come in two main flavors, short and long. While astronomers believe that they understand what causes these two kinds of bursts, there is still significant overlap between them. A team of researchers have proposed a new way to classify gamma-ray bursts using the aid of machine learning algorithms. This new classification scheme will help astronomers better understand these enigmatic explosions.
Ever since the 1960’s, astronomers have identified brief intense bursts of high energy gamma ray radiation. These bursts come from, and so they likely come from outside the galaxy. Over the decades astronomers have identified two different kinds of these gamma-ray bursts, which they call short and long. The short ones last for less than 2 seconds on average and account for around 30% of all bursts.
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