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A new era of space exploration and exploitation is fast approaching. A multitude of spacecraft will flow in the future decades under the propulsive momentum of the new space economy. Yet, the flourishing proliferation of deep-space assets…

计算机视觉与模式识别 · 计算机科学 2023-02-15 Eleonora Andreis , Paolo Panicucci , Francesco Topputo

Optimal estimation of signal amplitude, background level, and photocentre location is crucial to the combined extraction of astrometric and photometric information from focal plane images, and in particular from the one-dimensional…

天体物理仪器与方法 · 物理学 2017-04-05 Mario Gai , Deborah Busonero , Rossella Cancelliere

Context: The first Gaia data release (DR1) delivered a catalogue of astrometry and photometry for over a billion astronomical sources. Within the panoply of methods used for data exploration, visualisation is often the starting point and…

The Gaia Galactic survey mission is designed and optimized to obtain astrometry, photometry, and spectroscopy of nearly two billion stars in our Galaxy. Yet as an all-sky multi-epoch survey, Gaia also observes several million extragalactic…

星系天体物理 · 物理学 2023-06-28 Gaia Collaboration , C. A. L. Bailer-Jones , D. Teyssier , L. Delchambre , C. Ducourant , D. Garabato , D. Hatzidimitriou , S. A. Klioner , L. Rimoldini , I. Bellas-Velidis , R. Carballo , M. I. Carnerero , C. Diener , M. Fouesneau , L. Galluccio , P. Gavras , A. Krone-Martins , C. M. Raiteri , R. Teixeira , A. G. A. Brown , A. Vallenari , T. Prusti , J. H. J. de Bruijne , F. Arenou , C. Babusiaux , M. Biermann , O. L. Creevey , D. W. Evans , L. Eyer , R. Guerra , A. Hutton , C. Jordi , U. L. Lammers , L. Lindegren , X. Luri , F. Mignard , C. Panem , D. Pourbaix , S. Randich , P. Sartoretti , C. Soubiran , P. Tanga , N. A. Walton , U. Bastian , R. Drimmel , F. Jansen , D. Katz , M. G. Lattanzi , F. van Leeuwen , J. Bakker , C. Cacciari , J. Castañeda , F. De Angeli , C. Fabricius , Y. Frémat , A. Guerrier , U. Heiter , E. Masana , R. Messineo , N. Mowlavi , C. Nicolas , K. Nienartowicz , F. Pailler , P. Panuzzo , F. Riclet , W. Roux , G. M. Seabroke , R. Sordo , F. Thévenin , G. Gracia-Abril , J. Portell , M. Altmann , R. Andrae , M. Audard , K. Benson , J. Berthier , R. Blomme , P. W. Burgess , D. Busonero , G. Busso , H. Cánovas , B. Carry , A. Cellino , N. Cheek , G. Clementini , Y. Damerdji , M. Davidson , P. de Teodoro , M. Nuñez Campos , A. Dell'Oro , P. Esquej , J. Fernández-Hernández , E. Fraile , P. García-Lario , E. Gosset , R. Haigron , J. -L. Halbwachs , N. C. Hambly , D. L. Harrison , J. Hernández , D. Hestroffer , S. T. Hodgkin , B. Holl , K. Janßen , G. Jevardat de Fombelle , S. Jordan , 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 , T. Roegiers , J. Rybizki , L. M. Sarro , C. Siopis , M. Smith , A. Sozzetti , 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 , 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 , M. A. Barstow , S. Bartolomé , J. -L. Bassilana , N. Bauchet , U. Becciani , M. Bellazzini , A. Berihuete , M. Bernet , S. Bertone , L. Bianchi , A. Binnenfeld , S. Blanco-Cuaresma , 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 , T. Carlucci , 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 , E. Distefano , C. Dolding , H. Enke , C. Fabre , M. Fabrizio , S. Faigler , 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 , P. Giacobbe , 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 , 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 , P. Kervella , S. Khanna , M. Kontizas , 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 , N. Leclerc , 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 , T. Mazeh , 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 , T. Morel , 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 , P. Ramos , M. Ramos-Lerate , P. Re Fiorentin , 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 , G. Sadowski , A. Sáez Núñez , A. Sagristà Sellés , J. Sahlmann , E. Salguero , N. Samaras , V. Sanchez Gimenez , N. Sanna , R. Santoveña , M. Sarasso , M. S. Schultheis , E. Sciacca , M. Segol , J. C. Segovia , D. Ségransan , D. Semeux , S. Shahaf , 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 , 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 , T. Zwitter

Large surveys producing tera- and petabyte-scale databases require machine-learning and knowledge discovery methods to deal with the overwhelming quantity of data and the difficulties of extracting concise, meaningful information with…

天体物理仪器与方法 · 物理学 2017-07-19 M. Süveges , F. Barblan , I. Lecoeur-Taïbi , A. Prša , B. Holl , L. Eyer , A. Kochoska , N. Mowlavi , L. Rimoldini

Context. In the current ever increasing data volumes of astronomical surveys, automated methods are essential. Objects of known classes from the literature are necessary for training supervised machine learning algorithms, as well as for…

(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…

天体物理仪器与方法 · 物理学 2015-04-01 J. H. J. de Bruijne , M. Allen , S. Azaz , A. Krone-Martins , T. Prod'homme , D. Hestroffer

SOFIA presents a number of interesting challenges for the development of a data reduction environment which, at its initial phase, will have to incorporate pipelines from seven different instruments. Therefore, the SOFIA data reduction…

天体物理仪器与方法 · 物理学 2015-03-17 M. V. Charcos-Llorens , R. Krzaczek , R. Y. Shuping , L. Lin

We introduce a pipeline that performs rapid image subtraction and source selection to detect transients, with a focus on identifying gravitational wave optical counterparts using the Dark Energy Camera (DECam). In this work, we present the…

天体物理仪器与方法 · 物理学 2024-08-27 Shenming Fu , Thomas Matheson , Aaron Meisner , Yuanyuan Zhang , Sebastián Vicencio , Destry Saul

Gaia is a cornerstone mission of the European Space Agency (ESA) selected in 2000, with a target launch date of 2011. The Gaia mission will perform a survey of about 1 billion sources brighter than V=20. Its goal is to provide astrometry…

天体物理学 · 物理学 2010-12-09 Laurent Eyer

Context: Many if not most planetary nebulae (PNe) are now thought to be the outcome of binary evolutionary scenarios. However only a few percent of PNe in the Milky Way are known to host binary systems. The high precision repeated observing…

太阳与恒星天体物理 · 物理学 2021-04-21 N. Chornay , N. A. Walton , D. Jones , H. M. J. Boffin , M. Rejkuba , R. Wesson

The Gaia mission is expected to provide highly accurate astrometric, photometric, and spectroscopic measurements for about $10^9$ objects. Automated classification of detected sources is a key part of the data processing. Here a few aspects…

天体物理学 · 物理学 2008-12-02 A. Vallenari , R. Sordo

We present a comparison of several Difference Image Analysis (DIA) techniques, in combination with Machine Learning (ML) algorithms, applied to the identification of optical transients associated with gravitational wave events. Each…

The Gaia second Data Release (DR2) presents a first mapping of full-sky RR Lyrae stars and Cepheids observed by the spacecraft during the initial 22 months of science operations. The Specific Object Study (SOS) pipeline, developed to…

The data produced by the future space-based millihertz gravitational-wave detector LISA will require nontrivial pre-processing, which might affect the science results. It is crucial to demonstrate the feasibility of such processing…

天体物理仪器与方法 · 物理学 2023-05-22 Jean-Baptiste Bayle , Olaf Hartwig , Marc Lilley , Aurélien Hees , Christian Chapman-Bird , Graham Woan , Peter Wolf

Camera traps have long been used by wildlife researchers to monitor and study animal behavior, population dynamics, habitat use, and species diversity in a non-invasive and efficient manner. While data collection from the field has…

计算机视觉与模式识别 · 计算机科学 2025-07-22 Bernie Boscoe , Shawn Johnson , Andrea Osbon , Chandler Campbell , Karen Mager

TOPCAT, and its command line counterpart STILTS, are powerful tools for working with large source catalogues. ESA's Gaia mission, most recently with its second data release, is producing source catalogues of unprecedented quality for more…

天体物理仪器与方法 · 物理学 2018-11-26 Mark Taylor

Gaia is an astrometric space experiment that is measuring positions, proper motions as well as parallaxes for a huge number of stars. It operates a medium-dispersion spectrometer, the RVS, that provides spectra and thus radial velocity…

太阳与恒星天体物理 · 物理学 2025-01-24 E. Gosset , Y. Damerdji , T. Morel , L. Delchambre , J. -L. Halbwachs , G. Sadowski , D. Pourbaix , A. Sozzetti , P. Panuzzo , F. Arenou

In the new era of large-scale astronomical surveys, automated methods of analysis and classification of bulk data are a fundamental tool for fast and efficient production of deliverables. This becomes ever more imminent as we enter the Gaia…

天体物理仪器与方法 · 物理学 2017-06-28 A. Kochoska , N. Mowlavi , A. Prsa , I. Lecoeur-Taibi , B. Holl , L. Rimoldini , M. Suveges , L. Eyer