Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 193

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Bayesian model selection for testing the no-hair theorem with black hole ringdowns

Open access
Gossan, S., Veitch, J., Sathyaprakash, B. S.·2012·Physical Review D

Abstract

In this paper we examine the extent to which black hole quasinormal modes (QNMs) could be used to test the no-hair theorem with future ground- and space-based gravitational-wave detectors. We model departures from general relativity (GR) by introducing extra parameters which change the mode frequencies or decay times from their values in GR. With the aid of Bayesian model selection, we assess the extent to which the presence of such a parameter could be inferred, and its value estimated. We find that it is harder to measure the departure of the mode decay times from their GR values than it is with the mode frequencies. The Einstein Telescope (ET, a third generation ground-based detector) could detect departures of as little as 8% in the frequency of the dominant QNM mode of a $500{M}_{\ensuremath{\bigodot}}$ black hole, out to a maximum range of $\ensuremath{\simeq}6\text{ }\text{ }\mathrm{Gpc}$ ($z\ensuremath{\simeq}0.91$). The New Gravitational Observatory (NGO, an ESA space mission to detect gravitational waves) can detect departures of $\ensuremath{\sim}0.6%$ in a ${10}^{8}{M}_{\ensuremath{\bigodot}}$ black hole to a luminosity distance of 50 Gpc ($z\ensuremath{\simeq}5.1$), and departures of $\ensuremath{\sim}10%$ in a ${10}^{6}{M}_{\ensuremath{\bigodot}}$ black hole to a luminosity distance of $\ensuremath{\simeq}6\text{ }\text{ }\mathrm{Gpc}$. In this exploratory work we have made a specific choice of source position (overhead), orientation (inclination angle of $\ensuremath{\pi}/3$) and mass ratio of progenitor binary (${m}_{1}/{m}_{2}=2$). A more exhaustive Monte Carlo simulation that incorporates progenitor black hole spins and a hierarchical model for the growth of massive black holes is needed to evaluate a more realistic picture of the possibility of ET and NGO to carry out such tests.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1103/physrevd.85.124056

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 1 references

Cited by

See all 193

Metadata

Authors
Gossan, S., Veitch, J., & Sathyaprakash, B. S.
Venue
Physical Review D
Published
2012-06-26
Volume
85
Issue
12
ISSN
  • 0556-2821 (ISSN-L)
  • 1550-7998
  • 1550-2368
OpenAlex
W2023746249
Cited by
193
References
1
FWCI
5.32
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Bayesian model selection for testing the no-hair theorem with black hole ringdowns. https://app.cochat.ai/papers/10.1103/physrevd.85.124056
The paper
Gossan, S., Veitch, J., & Sathyaprakash, B. S. (2012). Bayesian model selection for testing the no-hair theorem with black hole ringdowns. Physical Review D. https://doi.org/10.1103/physrevd.85.124056

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.