4 citations · 4 across the 2 of their papers we have counts for
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gr-qc2024★ 4 cited
An efficient GPU-accelerated multi-source global fit pipeline for LISA data analysis
Michael L. Katz, Nikolaos Karnesis, Natalia Korsakova +2
The large-scale analysis task of deciphering gravitational wave signals in the LISA data stream will be difficult, requiring a large amount of computational resources and extensive…
gr-qc2024
Neural density estimation for Galactic Binaries in LISA data analysis
Natalia Korsakova, Stanislav Babak, Michael L. Katz +3
The future space based gravitational wave detector LISA (Laser Interferometer Space Antenna) will observe millions of Galactic binaries constantly present in the data stream. A sma…