Information theory in high energy physics (extensive and nonextensive approach)
arXiv:hep-ph/0312136 · doi:10.1016/j.physa.2004.06.033
Abstract
The application of information theory approach (both in its extensive and nonextensive versions) to high energy multiparticle processes is discussed and confronted with experimental data on e+e- annihilation processes, pp and \bar{p}p scatterings and heavy ion collisions.
6 pages - contribution to International Workshop on: Trends and Perspectives in Extensive and Non-Extensive Statistical Mechanics (in Honour to the q-60th Birthday of Constantino Tsallis) November 19-21, 2003, Angra dos Reis, Brazil Small corrections added. To be published in Physica A (2004)
References in corpus (6)
- Superstatistics
- The significance of the fragmentation region in ultrarelativistic heavy ion collisions
- Estimating the inelasticity with the information theory approach
- Statistical hadronisation phenomenology
- An additive variant of Tsallis generalized entropy
- Information theory approach (extensive and nonextensive) to high energy multiple production processes
Cited by in corpus (11)
- Measurement of neutral mesons in p+p collisions at sqrt(s) = 200 GeV and scaling properties of hadron production
- Power laws in elementary and heavy-ion collisions - A story of fluctuations and nonextensivity?
- Nonextensive hydrodynamics for relativistic heavy-ion collisions
- Superstatistics in high energy physics: Application to cosmic ray energy spectra and e+e- annihilation
- Multiplicity fluctuations due to the temperature fluctuations in high-energy nuclear collisions
- Consequences of temperature fluctuations in observables measured in high energy collisions
- The imprints of superstatistics in multiparticle production processes
- Extended Gaussian ensemble or q-statistics in hadronic production processes?
- Nonlinear waves in a hot, viscous and nonextensive quark gluon plasma
- New method of accounting for interference contributions within a multipheriperal model
- Multiparticle production processes from the Information Theory point of view