Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Lecoeur-Taïbi, Isabelle"'
Autor:
Rimoldini, Lorenzo, Holl, Berry, Gavras, Panagiotis, Audard, Marc, De Ridder, Joris, Mowlavi, Nami, Nienartowicz, Krzysztof, de Fombelle, Grégory Jevardat, Lecoeur-Taïbi, Isabelle, Karbevska, Lea, Evans, Dafydd W., Ábrahám, Péter, Carnerero, Maria I., Clementini, Gisella, Distefano, Elisa, Garofalo, Alessia, García-Lario, Pedro, Gomel, Roy, Klioner, Sergei A., Kruszyńska, Katarzyna, Lanzafame, Alessandro C., Lebzelter, Thomas, Marton, Gábor, Mazeh, Tsevi, Molinaro, Roberto, Panahi, Aviad, Raiteri, Claudia M., Ripepi, Vincenzo, Szabados, László, Teyssier, David, Trabucchi, Michele, Wyrzykowski, Łukasz, Zucker, Shay, Eyer, Laurent
Publikováno v:
A&A 674, A14 (2023)
Gaia DR3 contains 1.8 billion sources with G-band photometry, 1.5 billion of which with BP and RP photometry, complemented by positions on the sky, parallax, and proper motion. The median number of field-of-view transits in the three photometric band
Externí odkaz:
http://arxiv.org/abs/2211.17238
Autor:
Carnerero, Maria I., Raiteri, Claudia M., Rimoldini, Lorenzo, Busonero, Deborah, Licata, Enrico, Mowlavi, Nami, Lecoeur-Taïbi, Isabelle, Audard, Marc, Holl, Berry, Gavras, Panagiotis, Nienartowicz, Krzysztof, de Fombelle, Grégory Jevardat, Carballo, Ruth, Clementini, Gisella, Delchambre, Ludovic, Klioner, Sergei, Lattanzi, Mario G., Eyer, Laurent
Publikováno v:
A&A 674, A24 (2023)
One of the novelties of the Gaia-DR3 with respect to the previous data releases is the publication of the multiband light curves of about 1 million AGN. The goal of this work was the creation of a catalogue of variable AGN, whose selection was based
Externí odkaz:
http://arxiv.org/abs/2207.06849
Autor:
Marton, Gábor, Ábrahám, Péter, Rimoldini, Lorenzo, Audard, Marc, Kun, Mária, Nagy, Zsófia, Kóspál, Ágnes, Szabados, László, Holl, Berry, Gavras, Panagiotis, Mowlavi, Nami, Nienartowicz, Krzysztof, de Fombelle, Grégory Jevardat, Lecoeur-Taïbi, Isabelle, Karbevska, Lea, Garcia-Lario, Pedro, Eyer, Laurent
Publikováno v:
A&A 674, A21 (2023)
Context. The Gaia third Data Release (DR3) presents the first catalogue of full-sky variable Young Stellar Object (YSO) candidates observed by the Gaia space telescope during the initial 34 months of science operations. Aims. Numerous types of variab
Externí odkaz:
http://arxiv.org/abs/2206.05796
Autor:
Rimoldini, Lorenzo, Eyer, Laurent, Mowlavi, Nami, Evans, Dafydd W., Nienartowicz, Krzysztof, Holl, Berry, Audard, Marc, Guy, Leanne P., de Fombelle, Grégory Jevardat, Lecoeur-Taïbi, Isabelle, Marchal, Olivier, Clementini, Gisella, Ripepi, Vincenzo, Garofalo, Alessia, Molinaro, Roberto, Muraveva, Tatiana, Poretti, Ennio, Molnár, László, Plachy, Emese, Juhász, Áron L., Szabados, László, De Ridder, Joris, Regibo, Sara, Baro, Luis Manuel Sarro, del Fresno, Mauro López
The second Gaia data release is expected to contain data products from about 22 months of observation. Based on these data, we aim to provide an advance publication of a full-sky Gaia map of RR Lyrae stars. Although comprehensive, these data still co
Externí odkaz:
http://arxiv.org/abs/1804.04079
Autor:
Roelens, Maroussia, Eyer, Laurent, Mowlavi, Nami, Lecoeur-Taïbi, Isabelle, Rimoldini, Lorenzo, Blanco-Cuaresma, Sergi, Palaversa, Lovro, Süveges, Maria, Charnas, Jonathan, Wevers, Thomas
We investigate the capabilities of the ESA Gaia mission for detecting and character- izing short timescale variability, from tens of seconds to a dozen hours. We assess the efficiency of the variogram analysis, for both detecting short timescale vari
Externí odkaz:
http://arxiv.org/abs/1708.08703
Autor:
Eyer, Laurent, Clementini, Gisella, Guy, Leanne P., Rimoldini, Lorenzo, Glass, Florian, Audard, Marc, Holl, Berry, Charnas, Jonathan, Cuypers, Jan, De Ridder, Joris, Evans, Dafydd W., de Fombelle, Gregory Jevardat, Lanzafame, Alessandro, Lecoeur-Taibi, Isabelle, Mowlavi, Nami, Nienartowicz, Krzysztof, Riello, Marco, Ripepi, Vincenzo, Sarro, Luis, Süveges, Maria
In this article we present an overview of the ESA Gaia mission and of the unprecedented impact that Gaia will have on the field of variable star research. We summarise the contents and impact of the first Gaia data release on the description of varia
Externí odkaz:
http://arxiv.org/abs/1704.01581
Autor:
Rimoldini, Lorenzo, Nienartowicz, Krzysztof, Süveges, Maria, Charnas, Jonathan, Guy, Leanne P., de Fombelle, Grégory Jevardat, Holl, Berry, Lecoeur-Taïbi, Isabelle, Mowlavi, Nami, Ordóñez-Blanco, Diego, Eyer, Laurent
Tens of millions of new variable objects are expected to be identified in over a billion time series from the Gaia mission. Crossmatching known variable sources with those from Gaia is crucial to incorporate current knowledge, understand how these ob
Externí odkaz:
http://arxiv.org/abs/1702.04165
Autor:
Roelens, Maroussia, Blanco-Cuaresma, Sergi, Eyer, Laurent, Mowlavi, Nami, Lecoeur-Taïbi, Isabelle, Rimoldini, Lorenzo, Palaversa, Lovro, Süveges, Maria, Charnas, Jonathan
Combined studies of variable stars and stellar clusters open great horizons, and they allow us to improve our understanding of stellar cluster formation and stellar evolution. In that prospect, the Gaia mission will provide astrometric, photometric,
Externí odkaz:
http://arxiv.org/abs/1610.04008
Autor:
Süveges, Maria, Guy, Leanne P., Eyer, Laurent, Cuypers, Jan, Holl, Berry, Lecoeur-Taïbi, Isabelle, Mowlavi, Nami, Nienartowicz, Krzysztof, Blanco, Diego Ordóñez, Rimoldini, Lorenzo, Ruiz, Idoia
We study the problem of periodicity detection in massive data sets of photometric or radial velocity time series, as presented by ESA's Gaia mission. Periodicity detection hinges on the estimation of the false alarm probability (FAP) of the extremum
Externí odkaz:
http://arxiv.org/abs/1504.00782
Autor:
Eyer, Laurent, Evans, Dafydd Wyn, Mowlavi, Nami, Lanzafame, Alessandro, Cuypers, Jan, De Ridder, Joris, Sarro, Luis, Clementini, Gisella, Guy, Leanne, Holl, Berry, Ordonez, Diego, Nienartowicz, Krzysztof, Lecoeur-Taibi, Isabelle
We present the variability processing and analysis that is foreseen for the Gaia mission within Coordination Unit 7 (CU7) of the Gaia Data Processing and Analysis Consortium (DPAC). A top level description of the tasks is given.
Comment: 4 pages
Comment: 4 pages
Externí odkaz:
http://arxiv.org/abs/1502.03830