The stellar parametrization using Artificial Neural Network

Sunetra Giridhar1,*, Aruna Goswami1, Andrea Kunder2, S. Muneer3, and G. Selva Kumar4
1Indian Institute of Astrophysics, Bangalore 560 034, India
2Cerro Tololo Inter-American Observatory, NOAO, Casilla 603, La Serena, Chile
3CREST Campus, Indian Institute of Astrophysics, Hosakote 562114, India
4Vainu Bappu Observatory, Kavalur, Alangayam 635701, India

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Abstract

An update on recent methods for automated stellar parametrization is given. We present preliminary results of the ongoing program for rapid parametrization of field stars using medium resolution spectra obtained using Vainu Bappu Telescope at VBO, Kavalur, India. We have used Artificial Neural Network (ANN) for estimating temperature, gravity, metallicity and absolute magnitude of the field stars. The network for each parameter is trained independently using a large number of calibrating stars. The trained network is used for estimating atmospheric parameters of unexplored field stars.

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Keywords : stellar abundances, ANN, absolute magnitude