Zobrazeno 1 - 10
of 65
pro vyhledávání: '"Süveges Maria"'
Autor:
Eyer Laurent, Clementini Gisella, Guy Leanne P., Rimoldini Lorenzo, Glass Florian, Audard Marc, Holl Berry, Charnas Jonathan, Cuypers Jan, Ridder Joris De, Evans Dafydd W., de Fombelle Gregory Jevardat, Lanzafame Alessandro, Lecoeur-Taibi Isabelle, Mowlavi Nami, Nienartowicz Krzysztof, Riello Marco, Ripepi Vincenzo, Sarro Luis, Süveges Maria
Publikováno v:
EPJ Web of Conferences, Vol 152, p 02002 (2017)
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:
https://doaj.org/article/25399917ed5848ba913451789bec6d62
We present a margin-free finite mixture model which allows us to simultaneously classify objects into known classes and to identify possible new object types using a set of continuous attributes. This application is motivated by the needs of identify
Externí odkaz:
http://arxiv.org/abs/2103.14138
Autor:
Eyer, Laurent, Süveges, Maria, De Ridder, Joris, Regibo, Sara, Mowlavi, Nami, Holl, Berry, Rimoldini, Lorenzo, Bouchy, Francois
Publikováno v:
Publications of the Astronomical Society of the Pacific, Volume 131, Issue 1002, pp. 088001 (2019)
In astronomy, we are witnessing an enormous increase in the number of source detections, precision, and diversity of measurements. Additionally, multi-epoch data is becoming the norm, making time-series analyses an important aspect of current astrono
Externí odkaz:
http://arxiv.org/abs/1911.09114
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:
Süveges, Maria, Anderson, Richard
Recent studies have revealed a hitherto unknown complexity of Cepheid pulsation. We implement local kernel regression to search for both period and amplitude modulations simultaneously in continuous time and to investigate their detectability, and te
Externí odkaz:
http://arxiv.org/abs/1703.10334
Autor:
Süveges, Maria, Fotopoulou, Sotiria, Coupon, Jean, Paltani, Stéphane, Eyer, Laurent, Rimoldini, Lorenzo
Throughout the processing and analysis of survey data, a ubiquitous issue nowadays is that we are spoilt for choice when we need to select a methodology for some of its steps. The alternative methods usually fail and excel in different data regions,
Externí odkaz:
http://arxiv.org/abs/1702.04480
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
Akademický článek
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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, Maria1 (AUTHOR), Olhede, Sofia Charlotta2 (AUTHOR) sofia.olhede@epfl.ch
Publikováno v:
Journal of the Royal Statistical Society: Series A (Statistics in Society). Jul2023, Vol. 186 Issue 3, p441-462. 22p. 1 Chart, 13 Graphs.