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of 3
pro vyhledávání: '"M. S. Pera"'
Several studies have been presented in the last few years applying some kind of automatic processing of data to estimate the fundamental parameters of open clusters. These parameters are later on employed in larger scale analyses, for example the str
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d1914ac779f5d8afcd5de1c962623d9d
http://arxiv.org/abs/2204.02153
http://arxiv.org/abs/2204.02153
Publikováno v:
CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
Aims. We present pyUPMASK, an unsupervised clustering method for stellar clusters that builds upon the original UPMASK package. The general approach of this method makes it plausible to be applied to analyses that deal with binary classes of any kind
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d55726d131aec00f2054c98950e3f27c
Autor:
André Moitinho, E. E. Giorgi, G. I. Perren, M. S. Pera, Giovanni Carraro, Ruben Angel Vazquez
Publikováno v:
CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
Aims: This paper has two main objectives: (1) To determine the intrinsic properties of 16 faint and mostly unstudied open clusters in the poorly known sector of the Galaxy at 270$^\circ-$300$^\circ$, to probe the Milky Way structure in future investi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5edbfe749d1b009bddfa94e1681be6d8
http://arxiv.org/abs/2003.12138
http://arxiv.org/abs/2003.12138