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Record W3213688178 · doi:10.1103/physrevd.104.102001

All-sky search for long-duration gravitational-wave bursts in the third Advanced LIGO and Advanced Virgo run

2021· article· en· W3213688178 on OpenAlexfundno aff
F. Acernese, K. Ackley, C. Adams, N. Adhikari, R. X. Adhikari

Bibliographic record

VenueResearch Publications (Maastricht University) · 2021
Typearticle
Languageen
FieldPhysics and Astronomy
TopicPulsars and Gravitational Waves Research
Canadian institutionsnot available
FundersDivision of Human Resource DevelopmentNational Research, Development and Innovation OfficeInstitute for Cosmic Ray Research, University of TokyoInstituto Nazionale di Fisica NucleareScience and Engineering Research BoardJapan Society for the Promotion of ScienceAustralian Research CouncilEuropean Regional Development FundMax-Planck-GesellschaftCentre National de la Recherche ScientifiqueICTP South American Institute for Fundamental ResearchNemzeti Kutatási Fejlesztési és Innovációs HivatalNational Research FoundationVlaamse regeringNational Astronomical Observatory of JapanMinistry of Education, Culture, Sports, Science and TechnologyNatural Sciences and Engineering Research Council of CanadaMinistry of Science and Technology, TaiwanMinistry of Education, IndiaNarodowym Centrum NaukiConseil Régional, Île-de-FranceScottish Universities Physics AllianceNational Natural Science Foundation of ChinaNational Research Foundation of KoreaHungarian Scientific Research FundGeneralitat de CatalunyaGeneralitat ValencianaAgence Nationale de la RechercheKavli FoundationU.S. Department of EnergyScience and Technology Facilities CouncilSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungGreat Southern Development Commission, Government of Western AustraliaAgencia Estatal de InvestigaciónGovern de les Illes BalearsKorea Institute of Science and Technology InformationNederlandse Organisatie voor Wetenschappelijk OnderzoekCouncil of Scientific and Industrial Research, IndiaConselleria de Innovación, Universidades, Ciencia y Sociedad Digital, Generalitat ValencianaRussian Foundation for Basic ResearchHigh Energy Accelerator Research OrganizationResearch Grants Council, University Grants CommitteeCanada Foundation for InnovationFonds De La Recherche Scientifique - FNRSCentres de Recerca de CatalunyaInstitut des Origines de LyonResearch Corporation for Science AdvancementRussian Science FoundationEuropean CommissionLeverhulme TrustScottish Funding CouncilIstituto Nazionale di Fisica NucleareDepartment of Science and Technology, Ministry of Science and Technology, IndiaFundacja na rzecz Nauki PolskiejAcademia SinicaAbdus Salam International Centre for Theoretical PhysicsNational Science FoundationRoyal SocietyFonds Wetenschappelijk Onderzoek
KeywordsLIGOGravitational wavePhysicsWaveformSkyAstrophysicsAmplitudeBinary black holeDuration (music)Binary numberAstronomyAcousticsOptics

Abstract

fetched live from OpenAlex

After the detection of gravitational waves from compact binary coalescences, the search for transient gravitational-wave signals with less well-defined waveforms for which matched filtering is not well suited is one of the frontiers for gravitational-wave astronomy. Broadly classified into "short"1 s and "long"1 s duration signals, these signals are expected from a variety of astrophysical processes, including non-axisymmetric deformations in magnetars or eccentric binary black hole coalescences. In this work, we present a search for long-duration gravitational-wave transients from Advanced LIGO and Advanced Virgo's third observing run from April 2019 to March 2020. For this search, we use minimal assumptions for the sky location, event time, waveform morphology, and duration of the source. The search covers the range of 2-500 s in duration and a frequency band of 24-2048 Hz. We find no significant triggers within this parameter space; we report sensitivity limits on the signal strength of gravitational waves characterized by the root-sum-square amplitude hrss as a function of waveform morphology. These hrss limits improve upon the results from the second observing run by an average factor of 1.8.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.869
Threshold uncertainty score0.571

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.004
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.053
GPT teacher head0.366
Teacher spread0.313 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations48
Published2021
Admission routes1
Has abstractyes

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