Gaia DR3 5622247572136509056 , the SIMBAD biblio

2021A&A...649A...6G - Astronomy and Astrophysics, volume 649A, 6-6 (2021/5-1)

Gaia Early Data Release 3. The Gaia Catalogue of Nearby Stars.

GAIA COLLABORATION, SMART R.L., SARRO L.M., RYBIZKI J., REYLE C., ROBIN A.C., HAMBLY N.C., ABBAS U., BARSTOW M.A., DE BRUIJNE J.H.J., BUCCIARELLI B., CARRASCO J.M., COOPER W.J., HODGKIN S.T., MASANA E., MICHALIK D., SAHLMANN J., SOZZETTI A., BROWN A.G.A., VALLENARI A., PRUSTI T., BABUSIAUX C., BIERMANN M., CREEVEY O.L., EVANS D.W., EYER L., HUTTON A., JANSEN F., JORDI C., KLIONER S.A., LAMMERS U., LINDEGREN L., LURI X., MIGNARD F., PANEM C., POURBAIX D., RANDICH S., SARTORETTI P., SOUBIRAN C., WALTON N.A., ARENOU F., BAILER-JONES C.A.L., BASTIAN U., CROPPER M., DRIMMEL R., KATZ D., LATTANZI M.G., VAN LEEUWEN F., BAKKER J., CASTANEDA J., DE ANGELI F., DUCOURANT C., FABRICIUS C., FOUESNEAU M., FREMAT Y., GUERRA R., GUERRIER A., GUIRAUD J., JEAN-ANTOINE-PICCOLO A., MESSINEO R., MOWLAVI N., NICOLAS C., NIENARTOWICZ K., PAILLER F., PANUZZO P., RICLET F., ROUX W., SEABROKE G.M., SORDO R., TANGA P., THEVENIN F., GRACIA-ABRIL G., PORTELL J., TEYSSIER D., ALTMANN M., ANDRAE R., BELLAS-VELIDIS I., BENSON K., BERTHIER J., BLOMME R., BRUGALETTA E., BURGESS P.W., BUSSO G., CARRY B., CELLINO A., CHEEK N., CLEMENTINI G., DAMERDJI Y., DAVIDSON M., DELCHAMBRE L., DELL'ORO A., FERNANDEZ-HERNANDEZ J., GALLUCCIO L., GARCIA-LARIO P., GARCIA-REINALDOS M., GONZALEZ-NUNEZ J., GOSSET E., HAIGRON R., HALBWACHS J.-L., HARRISON D.L., HATZIDIMITRIOU D., HEITER U., HERNANDEZ J., HESTROFFER D., HOLL B., JANSSEN K., JEVARDAT DE FOMBELLE G., JORDAN S., KRONE-MARTINS A., LANZAFAME A.C., LOFFLER W., LORCA A., MANTEIGA M., MARCHAL O., MARRESE P.M., MOITINHO A., MORA A., MUINONEN K., OSBORNE P., PANCINO E., PAUWELS T., RECIO-BLANCO A., RICHARDS P.J., RIELLO M., RIMOLDINI L., ROEGIERS T., SIOPIS C., SMITH M., ULLA A., UTRILLA E., VAN LEEUWEN M., VAN REEVEN W., ABREU ARAMBURU A., ACCART S., AERTS C., AGUADO J.J., AJAJ M., ALTAVILLA G., ALVAREZ M.A., ALVAREZ CID-FUENTES J., ALVES J., ANDERSON R.I., ANGLADA VARELA E., ANTOJA T., AUDARD M., BAINES D., BAKER S.G., BALAGUER-NUNEZ L., BALBINOT E., BALOG Z., BARACHE C., BARBATO D., BARROS M., BARTOLOME S., BASSILANA J.-L., BAUCHET N., BAUDESSON-STELLA A., BECCIANI U., BELLAZZINI M., BERNET M., BERTONE S., BIANCHI L., BLANCO-CUARESMA S., BOCH T., BOMBRUN A., BOSSINI D., BOUQUILLON S., BRAGAGLIA A., BRAMANTE L., BREEDT E., BRESSAN A., BROUILLET N., BURLACU A., BUSONERO D., BUTKEVICH A.G., BUZZI R., CAFFAU E., CANCELLIERE R., CANOVAS H., CANTAT-GAUDIN T., CARBALLO R., CARLUCCI T., CARNERERO M.I., CASAMIQUELA L., CASTELLANI M., CASTRO-GINARD A., CASTRO SAMPOL P., CHAOUL L., CHARLOT P., CHEMIN L., CHIAVASSA A., CIONI M.-R.L., COMORETTO G., CORNEZ T., COWELL S., CRIFO F., CROSTA M., CROWLEY C., DAFONTE C., DAPERGOLAS A., DAVID M., DAVID P., DE LAVERNY P., DE LUISE F., DE MARCH R., DE RIDDER J., DE SOUZA R., DE TEODORO P., DE TORRES A., DEL PELOSO E.F., DEL POZO E., DELGADO A., DELGADO H.E., DELISLE J.-B., DI MATTEO P., DIAKITE S., DIENER C., DISTEFANO E., DOLDING C., EAPPACHEN D., EDVARDSSON B., ENKE H., ESQUEJ P., FABRE C., FABRIZIO M., FAIGLER S., FEDORETS G., FERNIQUE P., FIENGA A., FIGUERAS F., FOURON C., FRAGKOUDI F., FRAILE E., FRANKE F., GAI M., GARABATO D., GARCIA-GUTIERREZ A., GARCIA-TORRES M., GAROFALO A., GAVRAS P., GERLACH E., GEYER R., GIACOBBE P., GILMORE G., GIRONA S., GIUFFRIDA G., GOMEL R., GOMEZ A., GONZALEZ-SANTAMARIA I., GONZALEZ-VIDAL J.J., GRANVIK M., GUTIERREZ-SANCHEZ R., GUY L.P., HAUSER M., HAYWOOD M., HELMI A., HIDALGO S.L., HILGER T., HLADCZUK N., HOBBS D., HOLLAND G., HUCKLE H.E., JASNIEWICZ G., JONKER P.G., JUARISTI CAMPILLO J., JULBE F., KARBEVSKA L., KERVELLA P., KHANNA S., KOCHOSKA A., KONTIZAS M., KORDOPATIS G., KORN A.J., KOSTRZEWA-RUTKOWSKA Z., KRUSZYNSKA K., LAMBERT S., LANZA A.F., LASNE Y., LE CAMPION J.-F., LE FUSTEC Y., LEBRETON Y., LEBZELTER T., LECCIA S., LECLERC N., LECOEUR-TAIBI I., LIAO S., LICATA E., LINDSTROM H.E.P., LISTER T.A., LIVANOU E., LOBEL A., MADRERO PARDO P., MANAGAU S., MANN R.G., MARCHANT J.M., MARCONI M., MARCOS SANTOS M.M.S., MARINONI S., MAROCCO F., MARSHALL D.J., MARTIN POLO L., MARTIN-FLEITAS J.M., MASIP A., MASSARI D., MASTROBUONO-BATTISTI A., MAZEH T., McMILLAN P.J., MESSINA S., MILLAR N.R., MINTS A., MOLINA D., MOLINARO R., MOLNAR L., MONTEGRIFFO P., MOR R., MORBIDELLI R., MOREL T., MORRIS D., MULONE A.F., MUNOZ D., MURAVEVA T., MURPHY C.P., MUSELLA I., NOVAL L., ORDENOVIC C., ORRU G., OSINDE J., PAGANI C., PAGANO I., PALAVERSA L., PALICIO P.A., PANAHI A., PAWLAK M., PENALOSA ESTELLER X., PENTTILA A., PIERSIMONI A.M., PINEAU F.-X., PLACHY E., PLUM G., POGGIO E., PORETTI E., POUJOULET E., PRSA A., PULONE L., RACERO E., RAGAINI S., RAINER M., RAITERI C.M., RAMBAUX N., RAMOS P., RAMOS-LERATE M., RE FIORENTIN P., REGIBO S., RIPEPI V., RIVA A., RIXON G., ROBICHON N., ROBIN C., ROELENS M., ROHRBASSER L., ROMERO-GOMEZ M., ROWELL N., ROYER F., RYBICKI K.A., SADOWSKI G., SAGRISTA SELLES A., SALGADO J., SALGUERO E., SAMARAS N., SANCHEZ GIMENEZ V., SANNA N., SANTOVENA R., SARASSO M., SCHULTHEIS M., SCIACCA E., SEGOL M., SEGOVIA J.C., SEGRANSAN D., SEMEUX D., SHAHAF S., SIDDIQUI H.I., SIEBERT A., SILTALA L., SLEZAK E., SOLANO E., SOLITRO F., SOUAMI D., SOUCHAY J., SPAGNA A., SPOTO F., STEELE I.A., STEIDELMULLER H., STEPHENSON C.A., SUVEGES M., SZABADOS L., SZEGEDI-ELEK E., TARIS F., TAURAN G., TAYLOR M.B., TEIXEIRA R., THUILLOT W., TONELLO N., TORRA F., TORRA J., TURON C., UNGER N., VAILLANT M., VAN DILLEN E., VANEL O., VECCHIATO A., VIALA Y., VICENTE D., VOUTSINAS S., WEILER M., WEVERS T., WYRZYKOWSKI L., YOLDAS A., YVARD P., ZHAO H., ZOREC J., ZUCKER S., ZURBACH C. and ZWITTER T.

Abstract (from CDS):

Aims. We produce a clean and well-characterised catalogue of objects within 100pc of the Sun from the Gaia Early Data Release 3. We characterise the catalogue through comparisons to the full data release, external catalogues, and simulations. We carry out a first analysis of the science that is possible with this sample to demonstrate its potential and best practices for its use.
Methods. Theselection of objects within 100pc from the full catalogue used selected training sets, machine-learning procedures, astrometric quantities, and solution quality indicators to determine a probability that the astrometric solution is reliable. The training set construction exploited the astrometric data, quality flags, and external photometry. For all candidates we calculated distance posterior probability densities using Bayesian procedures and mock catalogues to define priors. Any object with reliable astrometry and a non-zero probability of being within 100pc is included in the catalogue.
Results. We have produced a catalogue of 331 312 objects that we estimate contains at least 92% of stars of stellar type M9 within 100pc of the Sun. We estimate that 9% of the stars in this catalogue probably lie outside 100pc, but when the distance probability function is used, a correct treatment of this contamination is possible. We produced luminosity functions with a high signal-to-noise ratio for the main-sequence stars, giants, and white dwarfs. We examined in detail the Hyades cluster, the white dwarf population, and wide-binary systems and produced candidate lists for all three samples. We detected local manifestations of several streams, superclusters, and halo objects, in which we identified 12 members of Gaia Enceladus. We present the first direct parallaxes of five objects in multiple systems within 10pc of the Sun.
Conclusions. We provide the community with a large, well-characterised catalogue of objects in the solar neighbourhood. This is a primary benchmark for measuring and understanding fundamental parameters and descriptive functions in astronomy.

Abstract Copyright: © ESO 2021

Journal keyword(s): catalogs - astrometry - stars: luminosity function, mass function - Hertzsprung-Russell and C-M diagrams - stars: low-mass - solar neighborhood

VizieR on-line data: <Available at CDS (J/A+A/649/A6): table1c.dat table1r.dat progwd.dat table3.dat maglim.dat missing.dat hyacomb.dat distpdf.dat>

Status at CDS : All or part of tables of objects could be ingested in SIMBAD; there are some issues with cross-identifications or classifications.

Simbad objects: 89188

View the references in ADS