English

The Stellar parametrization using Artificial Neural Network

Solar and Stellar Astrophysics 2012-03-12 v1

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 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.

Keywords

Cite

@article{arxiv.1203.2014,
  title  = {The Stellar parametrization using Artificial Neural Network},
  author = {Sunetra Giridhar and Aruna Goswami and Andrea Kunder and S. Muneer and G. Selva Kumar},
  journal= {arXiv preprint arXiv:1203.2014},
  year   = {2012}
}

Comments

6 pages, 2 figures, To appear in Astronomical Society of India Conference Series (ASICS). eds. P. Prugniel and H.P Singh

R2 v1 2026-06-21T20:31:35.944Z