Spectral Classification: Old and Contemporary

  • Sunetra Giridhar
Conference paper
Part of the Astrophysics and Space Science Proceedings book series (ASSSP)


Beginning with a historical account of the spectral classification, its refinement through additional criteria is presented. The line strengths and ratios used in two dimensional classifications of each spectral class are described. A parallel classification scheme for metal-poor stars and the standards used for classification are presented. The extension of spectral classification beyond M to L and T and spectroscopic classification criteria relevant to these classes are described. Contemporary methods of classifications based upon different automated approaches are introduced.

Spectral classification luminosity classes metal-poor stars M-L-T spectral classes 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    O. C. Wilson, M. K. V. Bappu, ApJ 125, 661 (1957)CrossRefADSGoogle Scholar
  2. 2.
    P. S. Osmer, ApJS 24, 247 (1972)CrossRefADSGoogle Scholar
  3. 3.
    A. Arellano Ferro, S. Giridhar, A. Goswami, MNRAS 250, 1, (1991)ADSGoogle Scholar
  4. 4.
    A. Arellano Ferro, S. Giridhar, E.Rojo Arellano, RMxAA 39, 3, (2003)ADSGoogle Scholar
  5. 5.
    R. O. Gray, A Digital Spectral Classifcation Atlas V1.02, (2003)Google Scholar
  6. 6.
    C. Jaschek, M. Jaschek, The classification of stars, Cambridge University Press, Cambridge (1987)Google Scholar
  7. 7.
    A. Secchi, Mem. Soc. Ital. Sciencze (2) 3, 73 (1868)Google Scholar
  8. 8.
    C. D. Shane, Lick Bull. 13, 123 (1928)ADSGoogle Scholar
  9. 9.
    C. P. Keenan, W. W. Morgan, ApJ 94, 501 (1941)CrossRefADSGoogle Scholar
  10. 10.
    J. D. Kirkpatrick, I. N. Reid, J. Liebert et al., ApJ 519, 802 (1999)CrossRefADSGoogle Scholar
  11. 11.
    J. D. Kirkpatrick, I. N. Reid, J. Liebert et al., AJ 120, 447 (2000)CrossRefADSGoogle Scholar
  12. 12.
    K. Lodders, ApJ 519, 793 (1999)CrossRefADSGoogle Scholar
  13. 13.
    I. N. Reid, J. D. Kirkpatrick et al. AJ 119, 369 (1999)Google Scholar
  14. 14.
    A. J. Burgasser et al. ApJ 524, 421 (2002)CrossRefADSGoogle Scholar
  15. 15.
    B. R. Oppenheimer, S. R. Kulkarni et al., ApJ 502, 932 (1998)CrossRefADSGoogle Scholar
  16. 16.
    R. O. Gray, AJ 98, 1049 (1989)CrossRefADSGoogle Scholar
  17. 17.
    C. J. Corbally, AJ 94, 161 (1987)CrossRefADSGoogle Scholar
  18. 18.
    D. Katz, C. Soubiran et al., A&A 338, 151 (1998)ADSGoogle Scholar
  19. 19.
    C. A. L. Bailer-Jones, M. Irwin, T. von Hippel, MNRAS 298, 361, (1998)CrossRefADSGoogle Scholar
  20. 20.
    C. A. L. Bailer-Jones, An Introduction to Artificial Neural Networks in Automated Data Analysis in Astronomy ed. by R. Gupta, H. P. Singh et al. (New Delhi, London : Narosa Pub. House), p83 (2002)Google Scholar
  21. 21.
    T. von Hippel, L. J. Storrie-Lombardi et al. MNRAS 269, 97 (1994)Google Scholar
  22. 22.
    H. P. Singh, C. A. L. Bailer-Jones, R. Gupta, Principal Component Analysis and its Application to Stellar Spectra in Automated Data Analysis in Astronomy ed. by R. Gupta, H. P.Singh et al. (New Delhi, London : Narosa Pub. House), p69 (2002)Google Scholar
  23. 23.
    S. Giridhar, S. Muneer & A. Goswami, MmSAI 77, 1130, (2006)ADSGoogle Scholar
  24. 24.
    E. F. Vieira, J. D. Ponz, A&AS 111, 393 (1995)ADSGoogle Scholar
  25. 25.
    C. Allende Prieto, R. Rebolo, et al. AJ 120, 1516 (2000)CrossRefADSGoogle Scholar
  26. 26.
    S. Snider, C. Allende Prieto, T. von Hippel et al. ApJ 562, 528 (2001)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Sunetra Giridhar
    • 1
  1. 1.Indian Institute of AstrophysicsBangaloreIndia

Personalised recommendations