Buscar
Mostrando ítems 21-28 de 28
Gaia Data Release 3: Analysis of the Gaia BP/RP spectra using the General Stellar Parameterizer from Photometry
(EDP Sciences, 2023-06)
[Abstract]: Context. The astrophysical characterisation of sources is among the major new data products in the third Gaia Data Release (DR3). In particular, there are stellar parameters for 471 million sources estimated ...
Gaia Data Release 3: Catalogue validation
(EDP Sciences, 2023-06)
[Abstract]: Context. The third Gaia data release (DR3) provides a wealth of new data products. The early part of the release, Gaia EDR3, already provided the astrometric and photometric data for nearly two billion sources. ...
Gaia Data Release 3: Stellar chromospheric activity and mass accretion from Ca II IRT observed by the Radial Velocity Spectrometer
(EDP Sciences, 2023-06)
[Abstract]: Context. The Gaia Radial Velocity Spectrometer (RVS) provides the unique opportunity of a spectroscopic analysis of millions of stars at medium resolution (λ/I λ'a '11'500) in the near-infrared (845'872 nm). ...
Gaia Data Release 3: The extragalactic content
(EDP Sciences, 2023-06)
[Abstract]: 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 ...
Gaia Data Release 3: Astrophysical parameters inference system (Apsis). I. Methods and content overview
(EDP Sciences, 2023-06)
[Abstract]: Gaia Data Release 3 contains a wealth of new data products for the community. Astrophysical parameters are a major component of this release, and were produced by the Astrophysical parameters inference system ...
Gaia Data Release 3: Exploring and mapping the diffuse interstellar band at 862 nm
(EDP Sciences, 2023-01)
[Abstract]: Context. Diffuse interstellar bands (DIBs) are common interstellar absorption features in spectroscopic observations but their origins remain unclear. DIBs play an important role in the life cycle of the ...
Distributed Fast Self-Organized Maps for Massive Spectrophotometric Data Analysis
(MDPI, 2018-11)
[Abstract]: Analyzing huge amounts of data becomes essential in the era of Big Data, where databases are populated with hundreds of Gigabytes that must be processed to extract knowledge. Hence, classical algorithms must ...
Analysis and Knowledge Discovery by Means of Self-Organizing Maps for Gaia Data Releases
(Springer, 2016)
[Abstract]: A billion stars: this is the approximate amount of visible objects estimated to be observed by the Gaia satellite, representing roughly 1 % of the objects in the Galaxy. It constitutes the biggest amount of ...