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Central Activity in Galaxies: From Observational Data to Astrophysical Diagnostics: Lecture Notes in Physics, cartea 413

Editat de Aage Sandqvist, Thomas P. Ray
en Limba Engleză Paperback – 23 aug 2014
This outstanding collection of surveys addresses graduateand predoctoral students. It reports on theoretical researchand observational data on active galactic nuclei: The enigmaof the nuclei of galaxies with their central "monster"driving the vast range of activity observed in quasars,radio galaxies, Seyferts, starburst galaxies and even ourown Galaxy are explored in this volume. Topics coveredinclude: the impact of recent measurements in the infraredand radio region on our knowledge of thenucleus of ourGalaxy; the spectra and classification of active galacticnuclei, the properties of their host galaxies, theircosmological distribution and evolution, the role of starsand thehydrodynamics of the interstellar medium in thenuclei; the description of the inner parsec of a standardactive galactic nucleus based on direct interpretation ofthe observations; the infrared activity of galaxies; thephysics of radio galaxies and their jets, emphasizing thephysics ofgas flow and high-energy particle interactions aswell as shock acceleration. These are all discussed inconsiderable depth and presented inself-contained chapterswith exhaustive reference lists of the scientificliterature.
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Specificații

ISBN-13: 9783662139387
ISBN-10: 3662139383
Pagini: 256
Ilustrații: XIII, 240 p. 27 illus.
Dimensiuni: 170 x 244 x 13 mm
Greutate: 0.41 kg
Ediția:Softcover reprint of the original 1st ed. 1993
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Lecture Notes in Physics

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Cuprins

The galactic centre.- Activity in galactic nuclei.- Observations and their implications for the inner parsec of AGN.- Infrared activity of galaxies.- Radio galaxies and jets.- Methods in astronomical image processing with special applications to the reduction of CCD data.- Multivariate methods for data analysis.- Multivariate methods for data analysis.- Multivariate methods for data analysis.