Gaia Data Release 3: The Galaxy in your preferred colours. Synthetic photometry from Gaia low-resolution spectra

dc.contributor.authorGaia Collaboration
dc.contributor.authorAntoja Castelltort, M. Teresa
dc.contributor.authorLuri Carrascoso, Xavier
dc.contributor.authorJordi i Nebot, Carme
dc.contributor.authorCarrasco, José Manuel (Carrasco Martínez)
dc.contributor.authorMonguió i Montells, Maria
dc.contributor.authorMasana Fresno, Eduard
dc.contributor.authorCastañeda Pons, Javier Bernardo
dc.contributor.authorRomero Gómez, Mercè
dc.contributor.authorFabricius, Claus
dc.date.accessioned2024-10-11T16:46:14Z
dc.date.available2024-10-11T16:46:14Z
dc.date.issued2022-06-01
dc.date.updated2024-10-11T16:46:14Z
dc.description.abstractGaia Data Release 3 provides novel flux-calibrated low-resolution spectrophotometry for about 220 million sources in the wavelength range 330nm - 1050nm (XP spectra). Synthetic photometry directly tied to a flux in physical units can be obtained from these spectra for any passband fully enclosed in this wavelength range. We describe how synthetic photometry can be obtained from XP spectra, illustrating the performance that can be achieved under a range of different conditions - for example passband width and wavelength range - as well as the limits and the problems affecting it. Existing top-quality photometry can be reproduced within a few per cent over a wide range of magnitudes and colour, for wide and medium bands, and with up to millimag accuracy when synthetic photometry is standardised with respect to these external sources. Some examples of potential scientific application are presented, including the detection of multiple populations in globular clusters, the estimation of metallicity extended to the very metal-poor regime, and the classification of white dwarfs. A catalogue providing standardised photometry for ~220 million sources in several wide bands of widely used photometric systems is provided (Gaia Synthetic Photometry Catalogue; GSPC) as well as a catalogue of ≃105 white dwarfs with DA/non-DA classification obtained with a Random Forest algorithm (Gaia Synthetic Photometry Catalogue for White Dwarfs; GSPC-WD).
dc.format.extent59 p.
dc.format.mimetypeapplication/pdf
dc.identifier.idgrec725377
dc.identifier.issn0004-6361
dc.identifier.urihttps://hdl.handle.net/2445/215705
dc.language.isoeng
dc.publisherEDP Sciences
dc.relation.isformatofReproducció del document publicat a: https://doi.org/10.1051/0004-6361/202243709
dc.relation.ispartofAstronomy & Astrophysics, 2022, p. 1-59
dc.relation.urihttps://doi.org/10.1051/0004-6361/202243709
dc.rights(c) The European Southern Observatory (ESO), 2022
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.sourceArticles publicats en revistes (Física Quàntica i Astrofísica)
dc.subject.classificationEstels
dc.subject.classificationFotometria
dc.subject.classificationAstrometria
dc.subject.otherStars
dc.subject.otherPhotometry
dc.subject.otherAstrometry
dc.titleGaia Data Release 3: The Galaxy in your preferred colours. Synthetic photometry from Gaia low-resolution spectra
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion

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