DATA MINING: STUDY OF FIVE OPEN CLUSTERS USING OPTICAL AND INFRARED SURVEYS

MOLINA-LERA J.A.; BAUME, G.; GAMEN R.

Córdoba

Congreso; 7th Friends of Friends Meeting; 2017

Observatorio de Córdoba

From a sample of 305 open clusters covered by the Sloan Digital Sky Survey, we selected a group and studied them in a systematic and homogeneous way. Forthis pourpouse we developed a set of routines in Python. These routines perform multiband (u, g, r, i, z) aperture photometry and correlate this informationwith other photometric catalogues (APASS, WISE and 2MASS), and available spectroscopic stellar classication. Our procedure employed a statistical methodto establish cluster's centers and covered region. On the other hand, it selects the most probable cluster members and possible YSO and/or PMS candidatesusing a photometric criteria. In this work we present a preliminary analysis of ve open clusters of the sample estimating their fundamental parametersas their maximum density coordinates, reddening, distances and ages.