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hal.structure.identifierM2A 2015
dc.contributor.authorBLANCO-CUARESMA, S.
hal.structure.identifierM2A 2015
dc.contributor.authorSOUBIRAN, C.
dc.contributor.authorHEITER, U.,
dc.date.issued2015-07
dc.date.conference2014-12-01
dc.description.abstractEnPast studies have already shown that stars in open clusters are chemically homogeneous (e.g. De Silva et al. 2006, 2007 and 2009). These results support the idea that stars born from the same giant molecular cloud should have the same chemical composition. In this context, the chemical tagging technique was proposed by Freeman & Bland-Hawthorn 2002. The principle is to recover disrupted stellar clusters by looking only to the stellar chemical composition. In order to evaluate the feasibility of this approach, it is necessary to test if we can distinguish between stars born from different molecular clouds. For this purpose, we studied the chemical composition of stars in 32 old and intermediate-age open clusters, and we applied machine learning algorithms to recover the original cluster by only considering the chemical signatures.
dc.language.isoen
dc.subject.enAstrophysics - Solar and Stellar Astrophysics
dc.subject.enAstrophysics - Astrophysics of Galaxies
dc.title.enDo open clusters have distinguishable chemical signatures?
dc.typeCommunication dans un congrès
dc.subject.halPlanète et Univers [physics]/Astrophysique [astro-ph]/Instrumentation et méthodes pour l'astrophysique [astro-ph.IM]
bordeaux.countryES
bordeaux.conference.cityBarcelone
bordeaux.peerReviewedoui
hal.identifierhal-01197369
hal.version1
hal.invitednon
hal.proceedingsnon
hal.conference.end2014-12-05
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01197369v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.date=2015-07&rft.au=BLANCO-CUARESMA,%20S.&SOUBIRAN,%20C.&HEITER,%20U.,&rft.genre=unknown


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