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Record W7019252553

Gaia Data Release 3 Summary of the content and survey properties

2023· article· en· W7019252553 on OpenAlexfundno aff

Bibliographic record

VenueUCL Discovery (University College London) · 2023
Typearticle
Languageen
FieldPhysics and Astronomy
TopicStellar, planetary, and galactic studies
Canadian institutionsnot available
FundersInstitut National de Physique Nucléaire et de Physique des ParticulesAgencia Estatal de InvestigaciónAustralian Research CouncilObservatoire de Paris, Université de Recherche Paris Sciences et LettresUniversity of Colorado BoulderMax-Planck-Institut für AstronomieMax-Planck-Institut für AstrophysikXunta de GaliciaBarcelona Supercomputing CenterUniversidad Nacional Autónoma de MéxicoIstituto Nazionale di AstrofisicaEuropean Regional Development FundUniversitat de BarcelonaCentre National de la Recherche ScientifiqueMinisterstwo Edukacji i NaukiTel Aviv UniversityNemzeti Kutatási Fejlesztési és Innovációs HivatalJavna Agencija za Raziskovalno Dejavnost RSLiverpool John Moores UniversityMagyar Tudományos AkadémiaScience and Technology Facilities CouncilSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungYork UniversityMinistério da Ciência, Tecnologia e InovaçãoTechnische Universität DresdenCentre National d’Etudes SpatialesGeneralitat de CatalunyaYale UniversityUniversity of QueenslandNederlandse Organisatie voor Wetenschappelijk OnderzoekZentrum für Informationsdienste und Hochleistungsrechnen, Technische Universität DresdenInstituto de Astrofísica de CanariasCarnegie Institution for ScienceUniversity of MelbourneSwinburne University of TechnologyLawrence Berkeley National LaboratoryMonash UniversityUniversity of BristolUniversity of EdinburghEuropean Science FoundationLeverhulme TrustEuropean CommissionUniversity of OxfordUniversity of LeicesterUniversity of CambridgeFundação para a Ciência e a TecnologiaUniversity of WashingtonCurtin University of TechnologyLeibniz-GemeinschaftNational Computational InfrastructureAgence Nationale de la RechercheAgenzia Spaziale ItalianaUniversity of SydneyAustralian GovernmentOhio State UniversityInstitut de Ciències del CosmosUK Space AgencyAustralian National UniversityUniversity of PortsmouthUniversity of UtahNew Mexico State UniversityNational Cancer InstituteAustralian Astronomical Optics-MacquarieUniversity College LondonAstronomy Australia LimitedUniversity of Notre DameSmithsonian Astrophysical ObservatoryEuropean Space AgencyMinisterio de Ciencia e InnovaciónJohns Hopkins UniversityAustralian National Data ServiceCarnegie Mellon UniversityScience Foundation IrelandNational Science FoundationCarnegie Institution of WashingtonSwedish National Space AgencyVanderbilt UniversityNational Aeronautics and Space AdministrationSmithsonian Institution
KeywordsPhotometry (optics)PhotometerRadial velocityData processingRaw dataData archiveStars
DOInot available

Abstract

fetched live from OpenAlex

CONTEXT: We present the third data release of the European Space Agency’s Gaia mission, Gaia DR3. This release includes a large variety of new data products, notably a much expanded radial velocity survey and a very extensive astrophysical characterisation of Gaia sources. AIMS: We outline the content and the properties of Gaia DR3, providing an overview of the main improvements in the data processing in comparison with previous data releases (where applicable) and a brief discussion of the limitations of the data in this release. METHODS: The Gaia DR3 catalogue is the outcome of the processing of raw data collected with the Gaia instruments during the first 34 months of the mission by the Gaia Data Processing and Analysis Consortium. RESULTS: The Gaia DR3 catalogue contains the same source list, celestial positions, proper motions, parallaxes, and broad band photometry in the G, GBP, and GRP pass-bands already present in the Early Third Data Release, Gaia EDR3. Gaia DR3 introduces an impressive wealth of new data products. More than 33 million objects in the ranges GRVS < 14 and 3100 < Teff < 14 500, have new determinations of their mean radial velocities based on data collected by Gaia. We provide GRVS magnitudes for most sources with radial velocities, and a line broadening parameter is listed for a subset of these. Mean Gaia spectra are made available to the community. The Gaia DR3 catalogue includes about 1 million mean spectra from the radial velocity spectrometer, and about 220 million low-resolution blue and red prism photometer BP/RP mean spectra. The results of the analysis of epoch photometry are provided for some 10 million sources across 24 variability types. Gaia DR3 includes astrophysical parameters and source class probabilities for about 470 million and 1500 million sources, respectively, including stars, galaxies, and quasars. Orbital elements and trend parameters are provided for some 800 000 astrometric, spectroscopic and eclipsing binaries. More than 150 000 Solar System objects, including new discoveries, with preliminary orbital solutions and individual epoch observations are part of this release. Reflectance spectra derived from the epoch BP/RP spectral data are published for about 60 000 asteroids. Finally, an additional data set is provided, namely the Gaia Andromeda Photometric Survey, consisting of the photometric time series for all sources located in a 5.5 degree radius field centred on the Andromeda galaxy. CONCLUSIONS: This data release represents a major advance with respect to Gaia DR2 and Gaia EDR3 because of the unprecedented quantity, quality, and variety of source astrophysical data. To date this is the largest collection of all-sky spectrophotometry, radial velocities, variables, and astrophysical parameters derived from both low- and high-resolution spectra and includes a spectrophotometric and dynamical survey of SSOs of the highest accuracy. The non-single star content surpasses the existing data by orders of magnitude. The quasar host and galaxy light profile collection is the first such survey that is all sky and space based. The astrophysical information provided in Gaia DR3 will unleash the full potential of Gaia’s exquisite astrometric, photometric, and radial velocity surveys.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.030
Threshold uncertainty score0.706

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
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 head0.055
GPT teacher head0.205
Teacher spread0.150 · 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 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

Citations6
Published2023
Admission routes1
Has abstractyes

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