DSpace DSpace UPC
 Català   Castellano   English  

E-prints UPC >
Altres >
Enviament des de DRAC >

Empreu aquest identificador per citar o enllaçar aquest ítem: http://hdl.handle.net/2117/12400

Arxiu Descripció MidaFormat
noninf_filtering_local.pdf3,55 MBAdobe PDFThumbnail

Citació: Cubarsi, R.; Alcobé, S.; Catala-Poch, M.A. Non-informative filtering of the local stellar velocity distribution to obtain two nearly-pure statistical populations. A: International Astronomical Union. General Assembly. "XXIVth General Assembly of the International Astronomical Union". Manchester: UNIVERSITAT MANCHESTER, 2000, p. 1-8.
Títol: Non-informative filtering of the local stellar velocity distribution to obtain two nearly-pure statistical populations
Autor: Cubarsí Morera, Rafael Veure Producció científica UPC; Alcobé López, Santiago Veure Producció científica UPC; Catala-Poch, M.A.
Data: 2000
Tipus de document: Conference lecture
Resum: The determination of stellar population constants from the statistics of a global sample is extremely sensitive to the noise introduced by a few non-typical stars. The local velocity distribution can be better determined from a catalogue of nearby stars including Hipparcos data and by applying a non-informative filtering to the global sample. In order to produce an optimal segregation into two population components an auxiliary parameter P, depending on the distribution of variables such as the absolute velocity referred to the slower subcentroid, is introduced. The parameter must induce an ordered incorporation of stars to the population components, in the sense that the greater the P value, the greater the number of stars in each component. Then a subsample S(P) is drawn from the global one. Depending on this parameter the statistical entropy H(P) of the mixture probability is computed, and the optimal subsample S(P) is selected in order to maximize H(P). The method is applied to segregate the local velocity distribution into two main trivariate normal components (Cubarsi et. al) where a total accordance between the best fit from the chi-squared test and the maximum population entropy H(P) is produced. Furthermore the method can be used recursively in order to separate a global sample into more than two populations.
URI: http://hdl.handle.net/2117/12400
Apareix a les col·leccions:Altres. Enviament des de DRAC
Departaments de Matemàtica Aplicada. Ponències/Comunicacions de congressos
gAGE - grup d'Astronomia i GEomàtica. Ponències/Comunicacions de congressos

Stats Mostra les estadístiques d'aquest ítem

SFX Query

Aquest ítem (excepte textos i imatges no creats per l'autor) està subjecte a una llicència de Creative Commons Llicència Creative Commons
Creative Commons


Valid XHTML 1.0! Programari DSpace Copyright © 2002-2004 MIT and Hewlett-Packard Comentaris
Universitat Politècnica de Catalunya. Servei de Biblioteques, Publicacions i Arxius