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dc.contributor.authorGonzález Santamaría, I.
dc.contributor.authorManteiga, Minia
dc.contributor.authorDafonte, Carlos
dc.contributor.authorManchado, Arturo
dc.contributor.authorUlla, Ana
dc.date.accessioned2020-10-28T15:50:58Z
dc.date.available2020-10-28T15:50:58Z
dc.date.issued2020-08-31
dc.identifier.citationGonzález-Santamaría, I.; Manteiga, M.; Dafonte, C.; Manchado, A.; Ulla, A. Mining of the Milky Way Star Archive Gaia-DR2. Searching for Binary Stars in Planetary Nebulae. Proceedings 2020, 54, 52. https://doi.org/10.3390/proceedings2020054052es_ES
dc.identifier.issn2504-3900
dc.identifier.urihttp://hdl.handle.net/2183/26573
dc.descriptionThis article belongs to the Proceedings of 3rd XoveTIC Conference
dc.description.abstract[Abstract] The aim of this work is to search for binary stars associated to planetary nebulae (ionized stellar envelopes in expansion), by mining the astronomical archive of Gaia DR2, that is composed by around 1.7 billion stellar sources. For this task, we selected those objects with coincident astrometric parameters (parallaxes and proper motions) with the corresponding central star, among a sample of 211 planetary nebulae. By this method, we found eight binary systems, and we obtained their components positions, separations, temperatures and luminosities, as well as some of their masses and ages. In addition, we estimated the probability for each companion star of having been detected by chance and we analyzed how the number of false matches increase as the separation distance between both stars gets larger. All these procedures have been carried out making use of data mining techniques.es_ES
dc.description.sponsorshipFunding from Spanish Ministry projects ESP2016-80079-C2-2-R, RTI2018-095076-BC22, Xunta de Galicia ED431B 2018/42, and AYA-2017-88254-P is acknowledged by the authors. M.M. thanks the Instituto de Astrofísica de Canarias for a visiting stay funded by the Severo Ochoa Excellence programme. IGS acknowledges financial support from the Spanish National Programme for the Promotion of Talent and its Employability grant BES-2017-083126 cofunded by the European Social Fundes_ES
dc.description.sponsorshipXunta de Galicia; ED431B 2018/42es_ES
dc.language.isoenges_ES
dc.publisherMDPI AGes_ES
dc.relationinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/ESP2016-80079-C2-2-R/ES/MINERIA DE DATOS DE GAIA PARA ESTUDIAR LA VIA LACTEA
dc.relationinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-095076-B-C22/ES/MINERIA DE DATOS DE GAIA PARA ESTUDIAR LA VIA LACTEA II
dc.relationinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/AYA2017-88254-P/ES/NUCLEOSINTESIS Y PROCESOS MOLECULARES EN ESTRELLAS EVOLUCIONADAS: DE (RADIO)ISOTOPOS A NANOESTRUCTURAS MOLECULARES COMPLEJAS
dc.relationinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/BES-2017-083126/ES/
dc.relation.urihttps://doi.org/10.3390/proceedings2020054052es_ES
dc.rightsAtribución 4.0 Internacionales_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectGaia DR2es_ES
dc.subjectPlanetary nebulaees_ES
dc.subjectBinary starses_ES
dc.subjectAstrometryes_ES
dc.titleMining of the Milky Way Star Archive Gaia-DR2: Searching for Binary Stars in Planetary Nebulaees_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.rights.accessinfo:eu-repo/semantics/openAccesses_ES
UDC.journalTitleProceedingses_ES
UDC.volume54es_ES
UDC.issue1es_ES
UDC.startPage52es_ES
dc.identifier.doi10.3390/proceedings2020054052
UDC.conferenceTitle3rd XoveTIC Conference; A Coruña, Spain; 8–9 October 2020es_ES


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