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dc.rights.licenseCopyright © 2020, Oxford University Press-
dc.contributor.authorSolano, E.-
dc.contributor.authorGálvez Ortiz, M. C.-
dc.contributor.authorMartín, E. L.-
dc.contributor.authorGómez Muñoz, I. M.-
dc.contributor.authorRodrigo, C.-
dc.contributor.authorBurgasser, A. J.-
dc.contributor.authorLodieu, N.-
dc.contributor.authorBéjar, V. J. S.-
dc.contributor.authorHuélamo, N.-
dc.contributor.authorMorales Calderon, M.-
dc.contributor.authorBouy, H.-
dc.contributor.otherUnidad de Excelencia Científica María de Maeztu Centro de Astrobiología del Instituto Nacional de Técnica Aeroespacial y CSIC, MDM-2017-0737-
dc.identifier.citationMonthly Notices of the Royal Astronomical Society 501(1): 281-290(2021)es
dc.descriptionThis article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (
dc.description.abstractUltracool dwarfs (UCDs) encompass a wide variety of compact stellar-like objects with spectra classified as late-M, L, T, and Y. Most of them have been discovered using wide-field imaging surveys. The Virtual Observatory (VO) has proven to be of great utility to efficiently exploit these astronomical resources. We aim to validate a VO methodology designed to discover and characterize UCDs in deep extragalactic surveys like Advance Large Homogeneous Area Medium-Band Redshift Astronomical (ALHAMBRA) and Cosmological Evolution Survey (COSMOS). Three complimentary searches based on parallaxes, proper motions and colours, respectively, were carried out. A total of 897 candidate UCDs were found, with only 16 previously reported in SIMBAD. Most of the new UCDs reported here are likely late-M and L dwarfs because of the limitations imposed by the utilization of optical (Gaia DR2 and r-band) data. We complement ALHAMBRA and COSMOS photometry with other catalogues in the optical and infrared using VOSA, a VO tool that estimates effective temperatures from the spectral energy distribution fitting to collections of theoretical models. The agreement between the number of UCDs found in the COSMOS field and theoretical estimations together with the low false-negative rate (known UCDs not discovered in our search) validates the methodology proposed in this work, which will be used in the forthcoming wide and deep surveys provided by the Euclid space mission. Simulations of Euclid number counts for UCDs detectable in different photometric passbands are presented for a wide survey area of 15 000 deg2, and the limitations of applicability of Euclid data to detect UCDs using the methods employed in this paper are
dc.description.sponsorshipThis research has made use of the Aladin sky atlas developed at CDS, Strasbourg Observatory, France. This publication makes use of VOSA, developed under the Spanish Virtual Observatory project supported from the Spanish MICIU through grant AyA2017-84089. This research has been partly funded by the Spanish State Research Agency (AEI) Project MDM-2017-0737 at Centro de Astrobiologia (CSIC-INTA), Unidad de Excelencia Maria de Maeztu. EM was supported by grant AYA2015-69350-C3-1-P. NL was supported by grant AYA2015-69350-C3-2-P. This work has made use of data from the European Space Agency (ESA) mission Gaia,13 processed by the Gaia Data Processing and Analysis Consortium (DPAC).14 We also extensivelymade use of TOPCAT (Taylor 2005) and STILTS (Taylor 2006) as well as the Vizier and SIMBAD services, both operated at CDS, Strasbourg,
dc.publisherOxford Academics: Oxford University Presses
dc.relationinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/AYA2017-84089-P/ES/EL OBSERVATORIO VIRTUAL ESPAÑOL. EXPLOTACION CIENTIFICO-TECNICA DE ARCHIVOS ASTRONOMICOS/-
dc.relationinfo:eu-repo/grantAgreement/MINECO//AYA2015-69350-C3-2-P/ES/ORIGEN Y EVOLUCION DE LAS ENANAS MARRONES Y PLANETAS GIGANTES/-
dc.subjectVirtual observatory toolses
dc.subjectBrown dwarfses
dc.subjectStars: low masses
dc.titleUltracool dwarfs in deep extragalactic surveys using the virtual observatory: ALHAMBRA and COSMOSes
dc.contributor.funderAgencia Estatal de Investigación (AEI)-
dc.contributor.funderMinisterio de Economía y Competitividad (MINECO)-
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