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dc.date.accessioned 2022-08-08T17:39:17Z
dc.date.available 2022-08-08T17:39:17Z
dc.date.issued 2021
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/140151
dc.description.abstract One of the first steps in open star cluster studies is members identification. For each star in the sample, researchers need to know the probability that it actually belongs to the cluster. In the project portrayed in this paper, the problem of membership calculation is approached from a Data Science perspective, and a solution is being designed and implemented as a Python software package named Opencluster. The aim is of this package to make star cluster exploratory analysis faster and easier for individual researchers. en
dc.format.extent 64-69 es
dc.language en es
dc.subject Data science es
dc.subject Scientific software es
dc.subject Stellar cluster memberships es
dc.title A software package for astrometric memberships calculation in open star clusters research en
dc.type Objeto de conferencia es
sedici.identifier.uri http://50jaiio.sadio.org.ar/pdfs/agranda/AGRANDA-10.pdf es
sedici.identifier.issn 2683-8966 es
sedici.creator.person González, Simón Pedro es
sedici.creator.person Herrera, Myriam es
sedici.creator.person Ruiz, Susana es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Sociedad Argentina de Informática e Investigación Operativa es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/3.0/
sedici.date.exposure 2021-10
sedici.relation.event VII Simposio Argentino de Ciencia de Datos y GRANdes DAtos (AGRANDA 2021) - JAIIO 50 (Modalidad virtual) es
sedici.description.peerReview peer-review es


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Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)