A convolutional neural network to distinguish glitches from minute-long gravitational wave transients

Understand

Gravitational wave bursts are transient signals distinct from compact binary mergers that arise from a wide variety of astrophysical phenomena.

• Because most of these phenomena are poorly modeled, the use of traditional search methods such as matched filtering is excluded.
• Bursts include short ($<$10 seconds) and long (from 10 to a few hundreds of seconds) duration signals for which the detection is constrained by environmental and instrumental transient noises called glitches.
• Glitches contaminate burst searches, reducing the amount of useful data and limiting the sensitivity of current algorithms.