Fast post-adiabatic waveforms in the time domain: Applications to compact binary coalescences in LIGO and Virgo Article Swipe
Deyan P. Mihaylov
,
Serguei Ossokine
,
Alessandra Buonanno
,
Abhirup Ghosh
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1103/physrevd.104.124087
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1103/physrevd.104.124087
We present a computationally efficient (time-domain) multipolar waveform\nmodel for quasi-circular spin-aligned compact binary coalescences. The model\ncombines the advantages of the numerical-relativity informed,\neffective-one-body (EOB) family of models with a post-adiabatic solution of the\nequations of motion for the inspiral part of the two-body dynamics. We\nbenchmark this model against other state-of-the-art waveforms in terms of\nefficiency and accuracy. We find a speed-up of one to two orders of magnitude\ncompared to the underlying time-domain EOB model for the total mass range $2 -\n100 M_{\\odot}$. More specifically, for a low total-mass system, such as a\nbinary neutron star with equal masses of $1.4 M_{\\odot}$, like GW170817, the\ncomputational speedup is around 100 times; for an event with total mass $\\sim\n40 M_\\odot$ and mass ratio $\\sim 3$, like GW190412, the speedup is by a factor\nof $\\sim 20$, while for a binary system of comparable masses and total mass of\n$\\sim 70 M_{\\odot}$, like GW150914, it is by a factor of $\\sim 10$. We\ndemonstrate that the new model is extremely faithful to the underlying EOB\nmodel with unfaithfulness less than $0.01\\%$ across the entire applicable\nregion of parameter space. Finally, we present successful applications of this\nnew waveform model to parameter estimation studies and tests of general\nrelativity.\n
Related Topics
Concepts
Physics
Binary number
LIGO
Numerical relativity
Neutron star
Mass ratio
Parameter space
Speedup
Equation of state
Domain (mathematical analysis)
Waveform
General relativity
Gravitational wave
Astrophysics
Adiabatic process
Theoretical physics
Quantum mechanics
Statistics
Computer science
Arithmetic
Mathematical analysis
Mathematics
Operating system
Voltage
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1103/physrevd.104.124087
- http://link.aps.org/pdf/10.1103/PhysRevD.104.124087
- OA Status
- hybrid
- Cited By
- 24
- References
- 128
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3163199482
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3163199482Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1103/physrevd.104.124087Digital Object Identifier
- Title
-
Fast post-adiabatic waveforms in the time domain: Applications to compact binary coalescences in LIGO and VirgoWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-12-29Full publication date if available
- Authors
-
Deyan P. Mihaylov, Serguei Ossokine, Alessandra Buonanno, Abhirup GhoshList of authors in order
- Landing page
-
https://doi.org/10.1103/physrevd.104.124087Publisher landing page
- PDF URL
-
https://link.aps.org/pdf/10.1103/PhysRevD.104.124087Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
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https://link.aps.org/pdf/10.1103/PhysRevD.104.124087Direct OA link when available
- Concepts
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Physics, Binary number, LIGO, Numerical relativity, Neutron star, Mass ratio, Parameter space, Speedup, Equation of state, Domain (mathematical analysis), Waveform, General relativity, Gravitational wave, Astrophysics, Adiabatic process, Theoretical physics, Quantum mechanics, Statistics, Computer science, Arithmetic, Mathematical analysis, Mathematics, Operating system, VoltageTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
24Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 8, 2024: 3, 2023: 8, 2022: 4, 2021: 1Per-year citation counts (last 5 years)
- References (count)
-
128Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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