Self-Organized Criticality in Astrophysics [electronic resource] :The Statistics of Nonlinear Processes in the Universe / by Markus Aschwanden.
by Aschwanden, Markus [author.]; SpringerLink (Online service).
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Item type | Current location | Call number | Status | Date due | Barcode |
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QB460-466 (Browse shelf) | Available | ||||
QB980-991 (Browse shelf) | Available | ||||
Long Loan | MAIN LIBRARY | QB1-991 (Browse shelf) | Available |
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TP248.13-248.65 Biotechnology in China II | R856-857 26th Southern Biomedical Engineering Conference SBEC 2010, April 30 - May 2, 2010, College Park, Maryland, USA | QB1-991 Self-Organized Criticality in Astrophysics | QB460-466 Self-Organized Criticality in Astrophysics | QB980-991 Self-Organized Criticality in Astrophysics | QA273.A1-274.9 Measure-Valued Branching Markov Processes | QA274-274.9 Measure-Valued Branching Markov Processes |
1 Self-Organized Criticality in the Universe -- 2 Numerical SOC Models -- 3 Statistics of Random Processes -- 4 Time Series Analysis -- 5 Time Scale Distributions -- 6 Waiting Time Distributions -- 7 Occurrence Frequency Distributions -- 8 Fractal Geometry -- 9 Scaling Laws -- 10 Physical SOC Models in Astrophysics.
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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