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@proceedings{1754778,
author = {BalaguerandNúñez, L. and López del Fresno, M. and Solano, E. and GaladíandEnríquez, D. and Jordi, C. and JimenezandEsteban, F. and Masana, E. and CarbajoandHijarrubia, J. and Paunzen, Ernst},
booktitle = {XIV.0 Reunión Científica},
keywords = {Clusterix 2.0; open access web tool; methods: statistical; virtual observatory tools; proper motions; open clusters and associations: general},
language = {eng},
title = {Clusterix 2.0: a virtual observatory tool to estimate cluster membership probability},
url = {https://www.sea-astronomia.es/sites/default/files/vl_balaguer-nunez.pdf},
year = {2020}
}
TY - CONF
ID - 1754778
AU - Balaguer-Núñez, L. - López del Fresno, M. - Solano, E. - Galadí-Enríquez, D. - Jordi, C. - Jimenez-Esteban, F. - Masana, E. - Carbajo-Hijarrubia, J. - Paunzen, Ernst
PY - 2020
TI - Clusterix 2.0: a virtual observatory tool to estimate cluster membership probability
KW - Clusterix 2.0
KW - open access web tool
KW - methods: statistical
KW - virtual observatory tools
KW - proper motions
KW - open clusters and associations: general
UR - https://www.sea-astronomia.es/sites/default/files/vl_balaguer-nunez.pdf
N2 - Clusterix 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 SAMP to VO tools such as TOPCAT.
ER -
BALAGUER-NÚÑEZ, L., M. LÓPEZ DEL FRESNO, E. SOLANO, D. GALADÍ-ENRÍQUEZ, C. JORDI, F. JIMENEZ-ESTEBAN, E. MASANA, J. CARBAJO-HIJARRUBIA a Ernst PAUNZEN. Clusterix 2.0: a virtual observatory tool to estimate cluster membership probability. In \textit{XIV.0 Reunión Científica}. 2020.
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