Author
Listed:
- Simone Albanesi
(Università di Torino, Dipartimento di Fisica
INFN sezione di Torino)
- Sebastiano Bernuzzi
(Friedrich-Schiller-Universität Jena, Theoretisch-Physikalisches Institut)
- Boris Daszuta
(Friedrich-Schiller-Universität Jena, Theoretisch-Physikalisches Institut)
- Rossella Gamba
(Friedrich-Schiller-Universität Jena, Theoretisch-Physikalisches Institut)
- Alessandro Nagar
(Università di Torino, Dipartimento di Fisica
INFN sezione di Torino)
- Francesco Zappa
(Friedrich-Schiller-Universität Jena, Theoretisch-Physikalisches Institut)
Abstract
INTRHYGUE is a new research effort that aims at developing complete gravitational-wave templates for the observation of intermediate mass-ratio and highly eccentric binary black hole mergers. Accurate templates for this class of mergers are missing although recent LIGO-Virgo observations point to their the possible astrophysical existance. Detections of these black hole mergers will be possible with future ground- and space-based experiments provided that detailed templates will be in place. The project combines high-precision data from $$(3+1)$$ ( 3 + 1 ) D numerical relativity simulations with a state-of-art effective-one-body analytical model for generic orbits. Simulations are performed with a novel numerical relativity code with pre-exascale capabilities. The data are employed to inform analytical, suitably resummed, expressions for the gravitational radiation reaction and the merger-ringdown waveforms. The initial focus of the project is the first systematic exploration of mergers from dynamical encounters (hyperbolic orbits). Such numerical relativity simulations have strengthen recent evidence that the signal GW190521 was originated by a dynamical capture of black holes.
Suggested Citation
Simone Albanesi & Sebastiano Bernuzzi & Boris Daszuta & Rossella Gamba & Alessandro Nagar & Francesco Zappa, 2024.
"INTRHYGUE: Simulations of Hyperbolic Binary Black-Hole Mergers,"
Springer Books, in: Wolfgang E. Nagel & Dietmar H. Kröner & Michael M. Resch (ed.), High Performance Computing in Science and Engineering '22, pages 35-48,
Springer.
Handle:
RePEc:spr:sprchp:978-3-031-46870-4_3
DOI: 10.1007/978-3-031-46870-4_3
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