Sensitivity study using machine learning algorithms on simulated r -mode gravitational wave signals from newborn neutron stars

Mytidis, Antonis;Panagopoulos, Athanasios Aris;Panagopoulos, Orestis P.;Miller, Andrew;Whiting, Bernard
(2019) Physical Review D — Vol. 99, n° 2, p. 024 024 (2019)

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Authors
  • Mytidis, Antonis
    Author
  • Panagopoulos, Athanasios Aris
    Author
  • Panagopoulos, Orestis P.
    Author
  • Miller, Andreworcid-logoUCLouvain
    Author
  • Whiting, Bernard
    Author
Affiliations
  • UF

Citations

Mytidis, A., Panagopoulos, A. A., Panagopoulos, O. P., Miller, A., & Whiting, B. (2019). Sensitivity study using machine learning algorithms on simulated r -mode gravitational wave signals from newborn neutron stars. Physical Review D, 99(2), 024 024. https://doi.org/10.1103/physrevd.99.024024 (Original work published 2019)