Machine learning classification of CHIME fast radio bursts -- I. Supervised methods

Understand

Observationally, the mysterious fast radio bursts (FRBs) are classified as repeating ones and apparently non-repeating ones.

• While repeating FRBs cannot be classified into the non-repeating group, it is unknown whether the apparently non-repeating FRBs are actually repeating FRBs whose repetitions are yet to be discovered, or whether they belong to another physically distinct type from the repeating ones.
• In a series of two papers, we attempt to disentangle this mystery with machine learning methods.
• In this first paper, we focus on an array of supervised machine learning methods.