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Record W3010688840 · doi:10.15488/3339

First low-frequency Einstein@Home all-sky search for continuous gravitational waves in Advanced LIGO data

2017· article· en· W3010688840 on OpenAlexfundno aff
B. P. Abbott, R. Abbott, T. D. Abbott, F. Acernese, K. Ackley, C. Adams, T. Adams

Bibliographic record

VenueRepository of the Academy's Library (Library of the Hungarian Academy of Sciences) · 2017
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeophysics and Gravity Measurements
Canadian institutionsnot available
FundersDivision of Human Resource DevelopmentICTP South American Institute for Fundamental ResearchIstituto Nazionale di Fisica NucleareInstitut des Origines de LyonMinistero dello Sviluppo EconomicoMinistry of Education, IndiaNational Research Foundation of KoreaMinisterio de Economía y CompetitividadCouncil of Scientific and Industrial Research, IndiaCentre National de la Recherche ScientifiqueIndustry CanadaNederlandse Organisatie voor Wetenschappelijk OnderzoekGovern de les Illes BalearsEuropean CommissionAbdus Salam International Centre for Theoretical PhysicsScience and Technology Facilities CouncilNational Research FoundationNational Science FoundationScience and Engineering Research BoardScottish Universities Physics AllianceRussian Foundation for Basic ResearchLeverhulme TrustScottish Funding CouncilHungarian Scientific Research Fund
KeywordsLIGOGravitational wavePhysicsEinstein TelescopeAstronomySkyGravitational-wave observatoryEinsteinGravitational-wave astronomyAstrophysicsClassical mechanics

Abstract

fetched live from OpenAlex

We report results of a deep all-sky search for periodic gravitational waves from isolated neutron stars in data from the first Advanced LIGO observing run. This search investigates the low frequency range of Advanced LIGO data, between 20 and 100 Hz, much of which was not explored in initial LIGO. The search was made possible by the computing power provided by the volunteers of the Einstein@Home project. We find no significant signal candidate and set the most stringent upper limits to date on the amplitude of gravitational wave signals from the target population, corresponding to a sensitivity depth of 48.7 [1/√Hz]. At the frequency of best strain sensitivity, near 100 Hz, we set 90% confidence upper limits of 1.8×10−25. At the low end of our frequency range, 20 Hz, we achieve upper limits of 3.9×10−24. At 55 Hz we can exclude sources with ellipticities greater than 10−5 within 100 pc of Earth with fiducial value of the principal moment of inertia of 1038 kg m2.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.047
GPT teacher head0.267
Teacher spread0.221 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2017
Admission routes1
Has abstractyes

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