DeepSNR: A deep learning foundation for oﬄine gravitational wave detection

doi:doi:10.57702/s8pcprqy

DeepSNR: A deep learning foundation for oﬄine gravitational wave detection

The DeepSNR detection pipeline uses a novel method for generating an SNR ranking statistic from deep learning classiﬁers, providing for the ﬁrst time a foundation for powerful and computationally eﬃcient deep learning algorithms to be leveraged in the potential discovery of weaker and never-before-observed GW signals.

BibTex:

@dataset{Michael_Andrews_and_Manfred_Paulini_and_Luke_Sellers_and_Alexey_Bobrick_and_Gianni_Martire_and_Haydn_Vestal_2024,
    abstract = {The DeepSNR detection pipeline uses a novel method for generating an SNR ranking statistic from deep learning classiﬁers, providing for the ﬁrst time a foundation for powerful and computationally eﬃcient deep learning algorithms to be leveraged in the potential discovery of weaker and never-before-observed GW signals.},
    author = {Michael Andrews and Manfred Paulini and Luke Sellers and Alexey Bobrick and Gianni Martire and Haydn Vestal},
    doi = {10.57702/s8pcprqy},
    institution = {No Organization},
    keyword = {'deep learning', 'gravitational wave detection', 'signal processing'},
    month = {dec},
    publisher = {TIB},
    title = {DeepSNR: A deep learning foundation for oﬄine gravitational wave detection},
    url = {https://service.tib.eu/ldmservice/dataset/deepsnr--a-deep-learning-foundation-for-o-ine-gravitational-wave-detection},
    year = {2024}
}