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Gaia mission will offer an exceptional opportunity to perform variability studies. The data homogeneity, its optimised photometric systems, composed of 11 medium and 4-5 broad bands, the high photometric precision in G band of one milli-mag…

Astrophysics · Physics 2007-05-23 Laurent Eyer

In the coming decade the Gaia satellite will precisely measure the positions and velocities of millions of stars in the Galactic halo, including stars in many tidal streams. These streams, the products of hierarchical accretion of satellite…

Astrophysics of Galaxies · Physics 2016-02-17 Robyn E. Sanderson

The Gaia DR3 Catalogue contains for the first time about eight hundred thousand solutions with either orbital elements or trend parameters for astrometric, spectroscopic and eclipsing binaries, and combinations of them. This paper aims to…

Solar and Stellar Astrophysics · Physics 2023-06-21 Gaia Collaboration , F. Arenou , C. Babusiaux , M. A. Barstow , S. Faigler , A. Jorissen , P. Kervella , T. Mazeh , N. Mowlavi , P. Panuzzo , J. Sahlmann , S. Shahaf , A. Sozzetti , N. Bauchet , Y. Damerdji , P. Gavras , P. Giacobbe , E. Gosset , J. -L. Halbwachs , B. Holl , M. G. Lattanzi , N. Leclerc , T. Morel , D. Pourbaix , P. Re Fiorentin , G. Sadowski , D. Ségransan , C. Siopis , D. Teyssier , T. Zwitter , L. Planquart , A. G. A. Brown , A. Vallenari , T. Prusti , J. H. J. de Bruijne , M. Biermann , O. L. Creevey , C. Ducourant , D. W. Evans , L. Eyer , R. Guerra , A. Hutton , C. Jordi , S. A. Klioner , U. L. Lammers , L. Lindegren , X. Luri , F. Mignard , C. Panem , S. Randich , P. Sartoretti , C. Soubiran , P. Tanga , N. A. Walton , C. A. L. Bailer-Jones , U. Bastian , R. Drimmel , F. Jansen , D. Katz , F. van Leeuwen , J. Bakker , C. Cacciari , J. Castañeda , F. De Angeli , C. Fabricius , M. Fouesneau , Y. Frémat , L. Galluccio , A. Guerrier , U. Heiter , E. Masana , R. Messineo , C. Nicolas , K. Nienartowicz , F. Pailler , F. Riclet , W. Roux , G. M. Seabroke , R. Sordo , F. Thévenin , G. Gracia-Abril , J. Portell , M. Altmann , R. Andrae , M. Audard , I. Bellas-Velidis , K. Benson , J. Berthier , R. Blomme , P. W. Burgess , D. Busonero , G. Busso , H. Cánovas , B. Carry , A. Cellino , N. Cheek , G. Clementini , M. Davidson , P. de Teodoro , M. Nuñez Campos , L. Delchambre , A. Dell'Oro , P. Esquej , J. Fernández-Hernández , E. Fraile , D. Garabato , P. García-Lario , R. Haigron , N. C. Hambly , D. L. Harrison , J. Hernández , D. Hestroffer , S. T. Hodgkin , K. Janßen , G. Jevardat de Fombelle , S. Jordan , A. Krone-Martins , A. C. Lanzafame , W. Löffler , O. Marchal , P. M. Marrese , A. Moitinho , K. Muinonen , P. Osborne , E. Pancino , T. Pauwels , A. Recio-Blanco , C. Reylé , M. Riello , L. Rimoldini , T. Roegiers , J. Rybizki , L. M. Sarro , M. Smith , E. Utrilla , M. van Leeuwen , U. Abbas , P. Ábrahám , A. Abreu Aramburu , C. Aerts , J. J. Aguado , M. Ajaj , F. Aldea-Montero , G. Altavilla , M. A. Álvarez , J. Alves , F. Anders , R. I. Anderson , E. Anglada Varela , T. Antoja , D. Baines , S. G. Baker , L. Balaguer-Núñez , E. Balbinot , Z. Balog , C. Barache , D. Barbato , M. Barros , S. Bartolomé , J. -L. Bassilana , U. Becciani , M. Bellazzini , A. Berihuete , M. Bernet , S. Bertone , L. Bianchi , A. Binnenfeld , S. Blanco-Cuaresma , A. Blazere , T. Boch , A. Bombrun , D. Bossini , S. Bouquillon , A. Bragaglia , L. Bramante , E. Breedt , A. Bressan , N. Brouillet , E. Brugaletta , B. Bucciarelli , A. Burlacu , A. G. Butkevich , R. Buzzi , E. Caffau , R. Cancelliere , T. Cantat-Gaudin , R. Carballo , T. Carlucci , M. I. Carnerero , J. M. Carrasco , L. Casamiquela , M. Castellani , A. Castro-Ginard , L. Chaoul , P. Charlot , L. Chemin , V. Chiaramida , A. Chiavassa , N. Chornay , G. Comoretto , G. Contursi , W. J. Cooper , T. Cornez , S. Cowell , F. Crifo , M. Cropper , M. Crosta , C. Crowley , C. Dafonte , A. Dapergolas , P. David , P. de Laverny , F. De Luise , R. De March , J. De Ridder , R. de Souza , A. de Torres , E. F. del Peloso , E. del Pozo , M. Delbo , A. Delgado , J. -B. Delisle , C. Demouchy , T. E. Dharmawardena , S. Diakite , C. Diener , E. Distefano , C. Dolding , H. Enke , C. Fabre , M. Fabrizio , G. Fedorets , P. Fernique , F. Figueras , Y. Fournier , C. Fouron , F. Fragkoudi , M. Gai , A. Garcia-Gutierrez , M. Garcia-Reinaldos , M. García-Torres , A. Garofalo , A. Gavel , E. Gerlach , R. Geyer , G. Gilmore , S. Girona , G. Giuffrida , R. Gomel , A. Gomez , J. González-Núñez , I. González-Santamaría , J. J. González-Vidal , M. Granvik , P. Guillout , J. Guiraud , R. Gutiérrez-Sánchez , L. P. Guy , D. Hatzidimitriou , M. Hauser , M. Haywood , A. Helmer , A. Helmi , M. H. Sarmiento , S. L. Hidalgo , N. Hładczuk , D. Hobbs , G. Holland , H. E. Huckle , K. Jardine , G. Jasniewicz , A. Jean-Antoine Piccolo , Ó. Jiménez-Arranz , J. Juaristi Campillo , F. Julbe , L. Karbevska , S. Khanna , G. Kordopatis , A. J. Korn , Á Kóspál , Z. Kostrzewa-Rutkowska , K. Kruszyńska , M. Kun , P. Laizeau , S. Lambert , A. F. Lanza , Y. Lasne , J. -F. Le Campion , Y. Lebreton , T. Lebzelter , S. Leccia , I. Lecoeur-Taibi , S. Liao , E. L. Licata , H. E. P. Lindstrøm , T. A. Lister , E. Livanou , A. Lobel , A. Lorca , C. Loup , P. Madrero Pardo , A. Magdaleno Romeo , S. Managau , R. G. Mann , M. Manteiga , J. M. Marchant , M. Marconi , J. Marcos , M. M. S. Marcos Santos , D. Marín Pina , S. Marinoni , F. Marocco , D. J. Marshall , L. Martin Polo , J. M. Martín-Fleitas , G. Marton , N. Mary , A. Masip , D. Massari , A. Mastrobuono-Battisti , P. J. McMillan , S. Messina , D. Michalik , N. R. Millar , A. Mints , D. Molina , R. Molinaro , L. Molnár , G. Monari , M. Monguió , P. Montegriffo , A. Montero , R. Mor , A. Mora , R. Morbidelli , D. Morris , T. Muraveva , C. P. Murphy , I. Musella , Z. Nagy , L. Noval , F. Ocaña , A. Ogden , C. Ordenovic , J. O. Osinde , C. Pagani , I. Pagano , L. Palaversa , P. A. Palicio , L. Pallas-Quintela , A. Panahi , S. Payne-Wardenaar , X. Peñalosa Esteller , A. Penttilä , B. Pichon , A. M. Piersimoni , F. -X. Pineau , E. Plachy , G. Plum , E. Poggio , A. Prša , L. Pulone , E. Racero , S. Ragaini , M. Rainer , C. M. Raiteri , P. Ramos , M. Ramos-Lerate , S. Regibo , P. J. Richards , C. Rios Diaz , V. Ripepi , A. Riva , H. -W. Rix , G. Rixon , N. Robichon , A. C. Robin , C. Robin , M. Roelens , H. R. O. Rogues , L. Rohrbasser , M. Romero-Gómez , N. Rowell , F. Royer , D. Ruz Mieres , K. A. Rybicki , A. Sáez Núñez , A. Sagristà Sellés , E. Salguero , N. Samaras , V. Sanchez Gimenez , N. Sanna , R. Santoveña , M. Sarasso , M. S. Schultheis , E. Sciacca , M. Segol , J. C. Segovia , D. Semeux , H. I. Siddiqui , A. Siebert , L. Siltala , A. Silvelo , E. Slezak , I. Slezak , R. L. Smart , O. N. Snaith , E. Solano , F. Solitro , D. Souami , J. Souchay , A. Spagna , L. Spina , F. Spoto , I. A. Steele , H. Steidelmüller , C. A. Stephenson , M. Süveges , J. Surdej , L. Szabados , E. Szegedi-Elek , F. Taris , M. B. Taylor , R. Teixeira , L. Tolomei , N. Tonello , F. Torra , J. Torra , G. Torralba Elipe , M. Trabucchi , A. T. Tsounis , C. Turon , A. Ulla , N. Unger , M. V. Vaillant , E. van Dillen , W. van Reeven , O. Vanel , A. Vecchiato , Y. Viala , D. Vicente , S. Voutsinas , M. Weiler , T. Wevers , Ł. Wyrzykowski , A. Yoldas , P. Yvard , H. Zhao , J. Zorec , S. Zucker

Stellar streams form through the tidal disruption of satellite galaxies or globular clusters orbiting a host galaxy. Globular cluster streams are exciting since they are thin (dynamically cold) and, therefore sensitive to perturbations from…

Automated detection of anomalous trajectories is an important problem with considerable applications in intelligent transportation systems. Many existing studies have focused on distinguishing anomalous trajectories from normal…

Machine Learning · Computer Science 2022-07-26 Tianle Ni , Jingwei Wang , Yunlong Ma , Shuang Wang , Min Liu , Weiming Shen

We present a wavelet-based algorithm to identify dwarf galaxies in the Milky Way in ${\it Gaia}$ DR2 data. Our algorithm detects overdensities in 4D position--proper motion space, making it the first search to explicitly use velocity…

Astrophysics of Galaxies · Physics 2021-07-15 Elise Darragh-Ford , Ethan O. Nadler , Sean McLaughlin , Risa H. Wechsler

We investigate what the proposed ESA astrometric satellite GAIA will reveal by observing the halo of the Milky Way. Specifically, we look for halo streams which are the signatures left by the merging/accretion events experienced by a…

Astrophysics · Physics 2007-05-23 Amina Helmi , HongSheng Zhao , P. Tim de Zeeuw

(Abridged) Gaia aims to make a 3-dimensional map of 1,000 million stars in our Milky Way to unravel its kinematical, dynamical, and chemical structure and evolution. Gaia's on-board detection software discriminates stars from spurious…

Instrumentation and Methods for Astrophysics · Physics 2015-04-01 J. H. J. de Bruijne , M. Allen , S. Azaz , A. Krone-Martins , T. Prod'homme , D. Hestroffer

In today's digital world, the generation of vast amounts of streaming data in various domains has become ubiquitous. However, many of these data are unlabeled, making it challenging to identify events, particularly anomalies. This task…

Machine Learning · Computer Science 2026-02-16 Jin Li , Kleanthis Malialis , Christos G. Panayiotou , Marios M. Polycarpou

Identifying infall motions is crucial for our understanding of accretion processes in regions of star formation. The NH3 (1,1) hyperfine intensity anomaly (HIA) has been proposed to be a readily usable tracer for such infall motions in…

Astrophysics of Galaxies · Physics 2024-11-06 Gang Wu , Christian Henkel , Dongdong Zhou , Friedrich Wyrowski , Karl M. Menten , Jarken Esimbek

The third Gaia data release is published in two stages. The early part, Gaia EDR3, gives very precise astrometric and photometric properties for nearly two billion sources together with seven million radial velocities from Gaia DR2. The…

We develop a new method for simulating stellar streams generated by globular clusters using angle-action coordinates. This method reproduces the variable mass-loss and variable frequency of the stripped stars caused by the changing tidal…

Astrophysics of Galaxies · Physics 2025-11-10 Carles G. Palau , Wenting Wang , Jiaxin Han

In an earlier work, we demonstrated the effectiveness of Bayesian neural networks in estimating the missing line-of-sight velocities of Gaia stars, and published an accompanying catalogue of blind predictions for the line-of-sight…

Astrophysics of Galaxies · Physics 2023-12-13 Aneesh P. Naik , Axel Widmark

Gaia can not individually resolve very close binary systems, however, the collected data can still be used to identify them. A powerful indicator of stellar multiplicity is the sources reported Renormalized Unit Weight Error (ruwe), which…

Streaming anomaly detection refers to the problem of detecting anomalous data samples in streams of data. This problem poses challenges that classical and deep anomaly detection methods are not designed to cope with, such as conceptual…

Machine Learning · Computer Science 2022-10-12 Joseph Gallego-Mejia , Oscar Bustos-Brinez , Fabio Gonzalez

We present a suite of direct $N$-body simulations of the Hyades open cluster and its tidal stream in a Milky Way potential that includes a rotating bar and spiral arms. Using the high-resolution code PETAR and an AGAMA-based multi-component…

Astrophysics of Galaxies · Physics 2026-04-01 Zi-yi Zhou , Long Wang , Tereza Jerabkova , Zhenghao He

Gaia DR3 provides >181, 000 radial velocity solutions for single-lined spectroscopic binaries (SB1s) which can be used to search for non-interacting compact object+star binary candidates by selecting systems with large mass functions. We…

Solar and Stellar Astrophysics · Physics 2023-04-05 T. Jayasinghe , D. M. Rowan , Todd A. Thompson , C. S. Kochanek , K. Z. Stanek

Tidal streams provide a powerful tool by means of which the matter distribution of the dark matter halos of their host galaxies can be studied. However, the analysis is not straightforward because streams do not delineate orbits, and for…

Astrophysics of Galaxies · Physics 2015-05-28 Anjali Varghese , Rodrigo A. Ibata , Geraint F. Lewis

This paper proposes a method for detecting anomalies in video data. A Variational Autoencoder (VAE) is used for reducing the dimensionality of video frames, generating latent space information that is comparable to low-dimensional sensory…

Computer Vision and Pattern Recognition · Computer Science 2020-03-18 Giulia Slavic , Damian Campo , Mohamad Baydoun , Pablo Marin , David Martin , Lucio Marcenaro , Carlo Regazzoni
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