2012/01/09 by W. S. Dias, H. Monteiro, T. C. Caetano +3 · 39 citations
Physics and Astronomy · #Artificial intelligence #Astronomy #Astrophysics #Astrophysics and Star Formation Studies #Cluster (spacecraft) #Computer science #Galactic plane #Gamma-ray bursts and supernovae #Open cluster #Physics #Selection (genetic algorithm) #Star (game theory) #Star cluster #Stars #Stellar evolution #Stellar, planetary, and galactic studies
paper · pdf · doi:10.1051/0004-6361/201118206
published in Astronomy and Astrophysics 539, A125 (EDP Sciences)
openalex publication_date 2012/01/09 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/01
Aims. Open clusters are essential tools for understanding Galactic structure, as well as stellar evolution, because they are distributed over the whole Galactic plane, and because their ages, distances, and reddening can be determined. The values of derived cluster fundamental parameters can vary greatly because of the often subjective nature of both the isochrone fitting technique and member star selection. To minimize the subjectivity in the selection of stars and to improve the fitting procedure, our group has developed a nonparametric method that estimates the membership likelihood for apparent cluster stars.