Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 413

The DOI matches its Crossref record.

Analysis framework for the prompt discovery of compact binary mergers in gravitational-wave data

Open access
Messick, Cody, Blackburn, Kent, Brady, Patrick, Brockill, Patrick, Cannon, Kipp, Cariou, Romain, Caudill, Sarah, Chamberlin, Sydney J., Creighton, Jolien D. E., Everett, Ryan, Hanna, Chad, Keppel, Drew, Lang, Ryan N., Li, Tjonnie G. F., Meacher, Duncan, Nielsen, Alex, Pankow, Chris, Privitera, Stephen, Qi, Hong, Sachdev, Surabhi, Sadeghian, Laleh, Singer, Leo, Thomas, E. Gareth, Wade, Leslie, Wade, Madeline, Weinstein, Alan, Wiesner, Karsten·2017·Physical Review D

Abstract

We describe a stream-based analysis pipeline to detect gravitational waves from the merger of binary neutron stars, binary black holes, and neutron-star--black-hole binaries within $\ensuremath{\sim}1$ min of the arrival of the merger signal at Earth. Such low-latency detection is crucial for the prompt response by electromagnetic facilities in order to observe any fading electromagnetic counterparts that might be produced by mergers involving at least one neutron star. Even for systems expected not to produce counterparts, low-latency analysis of the data is useful for deciding when not to point telescopes, and as feedback to observatory operations. Analysts using this pipeline were the first to identify GW151226, the second gravitational-wave event ever detected. The pipeline also operates in an offline mode, in which it incorporates more refined information about data quality and employs acausal methods that are inapplicable to the online mode. The pipeline's offline mode was used in the detection of the first two gravitational-wave events, GW150914 and GW151226, as well as the identification of a third candidate, LVT151012.

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.95.042001

Cites

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

Cited by

See all 413

Metadata

Authors
Messick, C., Blackburn, K., Brady, P., Brockill, P., Cannon, K., Cariou, R., Caudill, S., Chamberlin, S. J., Creighton, J. D. E., Everett, R., Hanna, C., Keppel, D., Lang, R. N., Li, T. G. F., Meacher, D., Nielsen, A., Pankow, C., Privitera, S., Qi, H., Sachdev, S., Sadeghian, L., Singer, L., Thomas, E. G., Wade, L., Wade, M., Weinstein, A., & Wiesner, K.
Venue
Physical Review D
Published
2017-02-07
Volume
95
Issue
4
ISSN
  • 2470-0010 (ISSN-L)
  • 2470-0029
OpenAlex
W2342129039
Cited by
413
References
0
FWCI
20.90
Type
journal article
Language
en
Open access
bronze

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: Analysis framework for the prompt discovery of compact binary mergers in gravitational-wave data. https://app.cochat.ai/papers/10.1103/physrevd.95.042001
The paper
Messick, C., Blackburn, K., Brady, P., Brockill, P., Cannon, K., Cariou, R., Caudill, S., Chamberlin, S. J., Creighton, J. D. E., Everett, R., Hanna, C., Keppel, D., Lang, R. N., Li, T. G. F., Meacher, D., Nielsen, A., Pankow, C., Privitera, S., Qi, H., . . . Wiesner, K. (2017). Analysis framework for the prompt discovery of compact binary mergers in gravitational-wave data. Physical Review D. https://doi.org/10.1103/physrevd.95.042001

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.