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Autor(en): 
  • Markus Aschwanden
  • Self-Organized Criticality in Astrophysics: The Statistics of Nonlinear Processes in the Universe 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 5-10 Tagen versandfertig
    Veröffentlichung:  August 2016  
    Genre:  Naturwissensch., Medizin, Technik 
     
    astronautics / astronomy / Astronomy, Astrophysics and Cosmology / Astronomy, Cosmology and Space Sciences / Astrophysics / B / Complex systems / Dynamical systems / Dynamics & statics / Geophysics / Geophysics/Geodesy / Physics and Astronomy / Probability & statistics / Solid Earth Sciences / Space Physics / Space sciences / Statistical physics / Statistical Physics and Dynamical Systems / Statistics / Theoretical, Mathematical and Computational Physics
    ISBN:  9783662506066 
    EAN-Code: 
    9783662506066 
    Verlag:  Springer Berlin Heidelberg 
    Einband:  Kartoniert  
    Sprache:  English  
    Serie:  Astronomy and Planetary Sciences
    Springer Praxis Books  
    Dimensionen:  H 240 mm / B 168 mm / D 22 mm 
    Gewicht:  807 gr 
    Seiten:  432 
    Zus. Info:  Paperback 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    The concept of 'self-organized criticality' (SOC) has been applied to a variety of problems, ranging from population growth and traffic jams to earthquakes, landslides and forest fires. The technique is now being applied to a wide range of phenomena in astrophysics, such as planetary magnetospheres, solar flares, cataclysmic variable stars, accretion disks, black holes and gamma-ray bursts, and also to phenomena in galactic physics and cosmology. Self-organized Criticality in Astrophysics introduces the concept of SOC and shows that, due to its universality and ubiquity, it is a law of nature. The theoretical framework and specific physical models are described, together with a range of applications in various aspects of astrophyics. The mathematical techniques, including the statistics of random processes, time series analysis, time scale and waiting time distributions, are presented and the results are applied to specific observations of astrophysical phenomena.
      
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