Veröffentlichungen

Publikationen von Stephen Green

Zeitschriftenartikel (9)

1.
Zeitschriftenartikel
Ortiz, N.; Carrasco, F. L.; Green, S.; Lehner, L.; Liebling, S. L.; Westernacher-Schneider, J. R.: Gamma-radiation sky maps from compact binaries. Journal of Cosmology and Astroparticle Physics 2022 (02), 027 (2022)
2.
Zeitschriftenartikel
Sberna, L.; Bosch, P.; East, W. E.; Green, S.; Lehner , L.: Nonlinear effects in the black hole ringdown: absorption-induced mode excitation. Physical Review D 105 (6), 064046 (2022)
3.
Zeitschriftenartikel
Toomani, V.; Zimmerman, P.; Spiers, A.; Hollands, S.; Pound, A.; Green, S.: New metric reconstruction scheme for gravitational self-force calculations. Classical and Quantum Gravity 39 (1), 015019 (2022)
4.
Zeitschriftenartikel
Whittaker, T.; East, W. E.; Green, S.; Lehner, L.; Yang, H.: Using machine learning to parametrize postmerger signals from binary neutron stars. Physical Review D 105 (12), 124021 (2022)
5.
Zeitschriftenartikel
Dax, M.; Green, S.; Gair, J.; Macke, J. H.; Buonanno, A.; Schölkopf, B.: Real-time gravitational-wave science with neural posterior estimation. Physical Review Letters 127 (24), 241103 (2021)
6.
Zeitschriftenartikel
Green, S.; Gair, J.: Complete parameter inference for GW150914 using deep learning. Machine Learning: Science and Technology 2, 03LT01 (2021)
7.
Zeitschriftenartikel
Bosch, P.; Green, S.; Lehner , L.; Roussille, H.: Excited hairy black holes: dynamical construction and level transitions. Physical Review D 102 (4), 044014 (2020)
8.
Zeitschriftenartikel
Green, S.; Hollands, S.; Zimmerman, P.: Teukolsky formalism for nonlinear Kerr perturbations. Classical and Quantum Gravity 37 (7), 075001 (2020)
9.
Zeitschriftenartikel
Green, S.; Simpson, C.; Gair, J.: Gravitational-wave parameter estimation with autoregressive neural network flows. Physical Review D 102, 104057 (2020)

Konferenzbeitrag (1)

10.
Konferenzbeitrag
Dax , M.; Green, S.; Gair, J.; Deistler, M.; Schölkopf, B.; Macke, J. H.: Group equivariant neural posterior estimation. In: The Tenth International Conference on Learning Representations. ICLR 2022. ICLR 2022, 14. September 2021 - 05. Oktober 2021. (2022)

Forschungspapier (3)

11.
Forschungspapier
Wildberger , J.; Dax , M.; Green, S.; Gair, J.; Pürrer, M.; Macke , J. H.; Buonanno, A.; Schölkopf, B.: Adapting to noise distribution shifts in flow-based gravitational-wave inference. (2022)
12.
Forschungspapier
Green, S.; Hollands, S.; Sberna, L.; Toomani, V.; Zimmerman, P.: Conserved currents for Kerr and orthogonality of quasinormal modes. (2022)
13.
Forschungspapier
Dax, M.; Green, S.; Gair, J.; Pürrer, M.; Wildberger, J.; Macke, J. H.; Buonanno, A.; Schölkopf, B.: Neural Importance Sampling for Rapid and Reliable Gravitational-Wave Inference. (2022)
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