Interplay of spin-precession and higher harmonics in the parameter estimation of binary black holes Article Swipe
N. V. Krishnendu
,
F. Ohme
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1103/physrevd.105.064012
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1103/physrevd.105.064012
Gravitational-wave (GW) signals from coalescing compact binaries carry\nenormous information about the source dynamics and are an excellent tool to\nprobe unknown astrophysics and fundamental physics. Though the updated catalog\nof compact binary signals reports evidence for slowly spinning systems and\nunequal mass binaries, the data so far cannot provide convincing proof of\nstrongly precessing binaries. Here, we use the GW inference library parallel\nBilby to compare the performance of two waveform models for measuring\nspin-induced orbital precession. One of the waveform models incorporates both\nspin-precession effects and sub-dominant harmonics. The other model accounts\nfor precession but only includes the leading harmonic. By simulating signals\nwith varying mass ratios and spins, we find that the waveform model with\nsub-dominant harmonics enables us to infer the presence of precession in most\ncases accurately. In contrast, the dominant model often fails to extract enough\ninformation to measure precession. In particular, it cannot distinguish a\nface-on highly precessing binary from a slowly precessing binary system\nirrespective of the binary's mass ratio. As expected, we see a significant\nimprovement in measuring precession for edge-on binaries. Other intrinsic\nparameters also become better constrained, indicating that precession effects\nhelp break the correlations between mass and spin parameters. However, the\nprecession measurements are prior dominated for equal-mass binaries with\nface-on orientation, even if we employ waveform model including subdominant\nharmonics. In this case, doubling the signal-to-noise ratio does not help to\nreduce these prior induced biases. As we expect detections of highly spinning\nbinary signals with misaligned spin orientations in the future, simulation\nstudies like ours are crucial for understanding the prospects and limitations\nof GW parameter inferences.\n
Related Topics
Concepts
Precession
Physics
Binary number
Harmonics
Binary black hole
Spin (aerodynamics)
Harmonic
Mass ratio
Black hole (networking)
Gravitational wave
Waveform
Astrophysics
Computational physics
Quantum mechanics
Computer science
Mathematics
Computer network
Voltage
Thermodynamics
Routing (electronic design automation)
Routing protocol
Link-state routing protocol
Arithmetic
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1103/physrevd.105.064012
- http://link.aps.org/pdf/10.1103/PhysRevD.105.064012
- OA Status
- hybrid
- Cited By
- 24
- References
- 218
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3202282232
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3202282232Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1103/physrevd.105.064012Digital Object Identifier
- Title
-
Interplay of spin-precession and higher harmonics in the parameter estimation of binary black holesWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-03-07Full publication date if available
- Authors
-
N. V. Krishnendu, F. OhmeList of authors in order
- Landing page
-
https://doi.org/10.1103/physrevd.105.064012Publisher landing page
- PDF URL
-
https://link.aps.org/pdf/10.1103/PhysRevD.105.064012Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
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https://link.aps.org/pdf/10.1103/PhysRevD.105.064012Direct OA link when available
- Concepts
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Precession, Physics, Binary number, Harmonics, Binary black hole, Spin (aerodynamics), Harmonic, Mass ratio, Black hole (networking), Gravitational wave, Waveform, Astrophysics, Computational physics, Quantum mechanics, Computer science, Mathematics, Computer network, Voltage, Thermodynamics, Routing (electronic design automation), Routing protocol, Link-state routing protocol, ArithmeticTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
24Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 2, 2024: 5, 2023: 12, 2022: 3, 2021: 2Per-year citation counts (last 5 years)
- References (count)
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218Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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