Gravitational-wave Bursts: Searching for the Unknown

Abstract

Gravitational waves (GWs) have been detected for the first time in 2015 and so far all detections were made using templates for well-modelled binary inspiral systems. However, an unexpected source requires a non-templated analysis and many burst algorithms are robust for that. I will start the presentation by explaining burst types and their search methods; special focus will be given to Gamma-ray burst searches using external triggers. Some burst algorithms are able to reconstruct the gravitational waveform, a key piece of information once an unknown source is detected. I will talk about a recent study of waveform reconstruction using Bayeswave, as well as a new method to interpret unmodelled GW burst signals.

Ronaldas Macas

Data Scientist @ Nasdaq

Applying my experience in gravitational-wave astronomy and machine learning to data science problems.