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dc.rights.licenseCopyright © 2020, Oxford University Press-
dc.contributor.authorBalaguer Núñez, L.-
dc.contributor.authorLópez del Fresno, M.-
dc.contributor.authorSolano, E.-
dc.contributor.authorGaladí Enríquez, D.-
dc.contributor.authorJordi, C.-
dc.contributor.authorJiménez Esteban, F. M.-
dc.contributor.authorMasana, E.-
dc.contributor.authorCarbajo Hijarrubia, J.-
dc.contributor.authorPaunzen, E.-
dc.contributor.otherUnidad de Excelencia Científica María de Maeztu Instituto de Ciencias del Cosmos (ICCUB), MDM-2014-0369-
dc.contributor.otherUnidad de Excelencia Científica María de Maeztu Centro de Astrobiología del Instituto Nacional de Técnica Aeroespacial y CSIC, MDM-2017-0737-
dc.date.accessioned2021-04-09T10:31:11Z-
dc.date.available2021-04-09T10:31:11Z-
dc.date.issued2020-02-11-
dc.identifier.citationMonthly Notices of the Royal Astronomical Society 492(4): 5811–5843(2020)es
dc.identifier.issn0035-8711-
dc.identifier.otherhttps://academic.oup.com/mnras/article-abstract/492/4/5811/5733679-
dc.identifier.urihttp://hdl.handle.net/20.500.12666/190-
dc.descriptionThis article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model)es
dc.description.abstractClusterix 2.0 is a web-based, Virtual Observatory compliant, interactive tool for the determination of membership probabilities in stellar clusters based on proper-motion data using a fully non-parametric method. In an area occupied by a cluster, the frequency function is made up of two contributions: cluster and field stars. The tool performs an empirical determination of the frequency functions from the vector point diagram without relying on any previous assumption about their profiles. Clusterix 2.0 allows us to search the appropriate spatial areas in an interactive way until an optimal separation of the two populations is obtained. Several parameters can be adjusted to make the calculation computationally feasible without interfering with the quality of the results. The system offers the possibility to query different catalogues, such as Gaia, or upload a user’s own data. The results of the membership determination can be sent via Simple Application Messaging Protocol (SAMP) to Virtual Observatory (VO) tools such as Tool for OPerations on Catalogues And Tables (TOPCAT). We apply Clusterix 2.0 to several open clusters with different properties and environments to show the capabilities of the tool: an area of five degrees radius around NGC 2682 (M67), an old, well-known cluster; a young cluster NGC 2516 with a striking elongated structure extended up to four degrees; NGC 1750 and NGC 1758, a pair of partly overlapping clusters; the area of NGC 1817, where we confirm a little-known cluster, Juchert 23; and an area with many clusters, where we disentangle two overlapping clusters situated where only one was previously known: Ruprecht 26 and the new CLUSTERIX 1.es
dc.description.sponsorshipThe authors acknowledge the anonymous referee for very useful comments. LBN acknowledges P.L. White for continuous support. This work has made use of data from the European Space Agency (ESA) mission Gaia (https://www.cosmos.esa.int/gaia), processed by the Gaia Data Processing and Analysis Consortium (DPAC, ht tps://www.cosmos.esa.int/web/gaia/dpac/consortium). Funding for the DPAC has been provided by national institutions, in particular the institutions participating in the Gaia Multilateral Agreement. This work was partly supported by the Spanish State Research Agency (AEI) projects ESP2017-87676-C5-1-R, ESP2016-80079-C2-1-R and RTI2018-095076-B-C21 (MINECO/FEDER, UE), and MDM-2014-0369 of ICCUB and MDM-2017-0737 Centro de Astrobiologia (CSIC-INTA) (Unidades de Excelencia 'Maria de Maeztu'), as well as the European Community's Seventh Framework Programme (FP7/2007-2013) under grant agreement GENIUS FP7-606740 and Horizon H2020 Framework Programme under grant agreement ASTERICS-653477. This publication makes use of VOSA, developed under the Spanish Virtual Observatory project supported by the SpanishMINECO through grant AyA2017-84089. This work has made extensive use of TOPCAT (Taylor 2005) and of NASA's Astrophysics Data System. This research has made use of theWEBDA database, operated at the Department of Theoretical Physics and Astrophysics of the Masaryk University.es
dc.language.isoenges
dc.publisherOxford Academics: Blackwell Publishinges
dc.relationinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/ESP2017-87676-C5-1-R-
dc.relationinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/ESP2016-80079-C2-1-R/ES/LOS DATOS DE GAIA PARA LAS PROXIMAS DECADAS/-
dc.relationinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-095076-B-C21/ES/LOS DATOS DE GAIA PARA LAS PROXIMAS DECADAS II/-
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.subjectMethods: statisticales
dc.subjectVirtual observatory toolses
dc.subjectProper motionses
dc.subjectOpen clusters and associations: generales
dc.subjectOpen clusters and associations: individuales
dc.subjectNGC 2682es
dc.titleClusterix 2.0: a virtual observatory tool to estimate cluster membership probability.es
dc.typeinfo:eu-repo/semantics/articlees
dc.contributor.orcid0000-0001-9789-7069-
dc.contributor.orcid0000-0002-3304-5200-
dc.contributor.orcid0000-0002-6985-9476-
dc.identifier.doi10.1093/mnras/stz3610-
dc.identifier.e-issn1365-2966-
dc.contributor.funderAgencia Estatal de Investigación (AEI)-
dc.contributor.funderEuropean Commission (EC)-
dc.contributor.funderEuropean Research Council (ERC)-
dc.description.peerreviewedPeer reviewes
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersion-
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccess-
dc.type.coarhttp://purl.org/coar/resource_type/c_6501-
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/FP7/606740-
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/653477-
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