Written by leading experts in the field, Stellar Spectral
Classification is the only book to comprehensively discuss both the
foundations and most up-to-date techniques of MK and other spectral
classification systems. Definitive and encyclopedic, the book introduces
the astrophysics of spectroscopy, reviews the entire field of stellar
astronomy, and shows how the well-tested methods of spectral
classification are a powerful discovery tool for graduate students and
researchers working in astronomy and astrophysics.
The book begins with a historical survey, followed by chapters
discussing the entire range of stellar phenomena, from brown dwarfs to
supernovae. The authors account for advances in the field, including the
addition of the L and T dwarf classes; the revision of the carbon star,
Wolf-Rayet, and white dwarf classification schemes; and the application
of neural nets to spectral classification. Copious figures illustrate
the morphology of stellar spectra, and the book incorporates recent
discoveries from earth-based and satellite data. Many examples of
spectra are given in the red, ultraviolet, and infrared regions, as well
as in the traditional blue-violet optical region, all of which are
useful for researchers identifying stellar and galactic spectra. This
essential reference includes a glossary, handy appendixes and tables, an
index, and a Web-based resource of spectra.
In addition to the authors, the contributors are Adam J. Burgasser,
Margaret M. Hanson, J. Davy Kirkpatrick, and Nolan R. Walborn.