Data

Training and test dataset for CNN-LSTM model for GW waveform extraction

The University of Western Australia
Chatterjee, Chayan
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.5281/zenodo.7751013&rft.title=Training and test dataset for CNN-LSTM model for GW waveform extraction&rft.identifier=10.5281/zenodo.7751013&rft.publisher=Zenodo&rft.description=This repository contains training and test samples corresponding to the paper, 'Extraction of binary black hole gravitational wave signals from detector data using deep learning', Chatterjee et al., Phys. Rev. D 104, 064046 (2021).&rft.creator=Chatterjee, Chayan &rft.date=2021&rft.type=dataset&rft.language=English Access the data
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This repository contains training and test samples corresponding to the paper, 'Extraction of binary black hole gravitational wave signals from detector data using deep learning', Chatterjee et al., Phys. Rev. D 104, 064046 (2021).

Issued: 2021

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