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Convolutional Neural Networks for signal detection in real LIGO data
Ondřej Zelenka, Bernd Brügmann, Frank Ohme
Searching the data of gravitational-wave detectors for signals from compact binary mergers is a computationally demanding task. Recently, machine learning algorithms have been prop…
MLGWSC-1: The first Machine Learning Gravitational-Wave Search Mock Data Challenge
Marlin B. Schäfer, Ondřej Zelenka, Alexander H. Nitz +20
We present the results of the first Machine Learning Gravitational-Wave Search Mock Data Challenge (MLGWSC-1). For this challenge, participating groups had to identify gravitationa…
Training Strategies for Deep Learning Gravitational-Wave Searches
Marlin B. Schäfer, Ondřej Zelenka, Alexander H. Nitz +2
Compact binary systems emit gravitational radiation which is potentially detectable by current Earth bound detectors. Extracting these signals from the instruments' background nois…
Regression methods in waveform modeling: a comparative study
Yoshinta Setyawati, Michael Pürrer, Frank Ohme
Gravitational-wave astronomy of compact binaries relies on theoretical models of the gravitational-wave signal that is emitted as binaries coalesce. These models do not only need t…