000			03160nam a22005415i 4500
001			978-3-642-15001-2
003			DE-He213
005			20140220083746.0
007			cr nn 008mamaa
008			110107s2011 gw | s |||| 0|eng d
020			_a9783642150012 _9978-3-642-15001-2
024	7		_a10.1007/978-3-642-15001-2 _2doi
050		4	_aQB1-991
050		4	_aQB460-466
050		4	_aQB980-991
072		7	_aPGC _2bicssc
072		7	_aSCI004000 _2bisacsh
072		7	_aSCI005000 _2bisacsh
082	0	4	_a520 _223
100	1		_aAschwanden, Markus. _eauthor.
245	1	0	_aSelf-Organized Criticality in Astrophysics _h[electronic resource] : _bThe Statistics of Nonlinear Processes in the Universe / _cby Markus Aschwanden.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2011.
300			_aXIV, 420 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aSpringer Praxis Books
505	0		_a1 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.
520			_aThe 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.
650		0	_aPhysics.
650		0	_aPhysical geography.
650		0	_aAstronomy.
650		0	_aAstrophysics.
650	1	4	_aPhysics.
650	2	4	_aAstronomy, Astrophysics and Cosmology.
650	2	4	_aStatistical Physics, Dynamical Systems and Complexity.
650	2	4	_aGeophysics/Geodesy.
650	2	4	_aExtraterrestrial Physics, Space Sciences.
650	2	4	_aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783642150005
830		0	_aSpringer Praxis Books
856	4	0	_uhttp://dx.doi.org/10.1007/978-3-642-15001-2
912			_aZDB-2-PHA
999			_c107014 _d107014