Search Results for author: Marlin B. Schäfer

Found 4 papers, 3 papers with code

From One to Many: A Deep Learning Coincident Gravitational-Wave Search

no code implementations24 Aug 2021 Marlin B. Schäfer, Alexander H. Nitz

The network is applied to the data from both observatories independently and we check for events coincident in time between the two.

Training Strategies for Deep Learning Gravitational-Wave Searches

1 code implementation7 Jun 2021 Marlin B. Schäfer, Ondřej Zelenka, Alexander H. Nitz, Frank Ohme, Bernd Brügmann

We find that the deep learning algorithms can generalize low signal-to-noise ratio (SNR) signals to high SNR ones but not vice versa.

Detection of gravitational-wave signals from binary neutron star mergers using machine learning

1 code implementation2 Jun 2020 Marlin B. Schäfer, Frank Ohme, Alexander H. Nitz

Compared to other state-of-the-art machine learning algorithms, we find an improvement by a factor of 6 in sensitivity to signals with signal-to-noise ratio below 25.

BIG-bench Machine Learning Time Series +1

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