Stochastic Effects; Application in Nuclear Physics
Description
Stochastic effects in nuclear physics refer to the study of the dynamics of nuclear systems evolving under stochastic equations of motion. In this dissertation we restrict our attention to classical scattering models. We begin with introduction of the model of nuclear dynamics and deterministic equations of evolution. We apply a Langevin approach - an additional property of the model, which reflect the statistical nature of low energy nuclear behaviour. We than concentrate our attention on the problem of calculating tails of distribution functions, which actually is the problem of calculating probabilities of rare outcomes. Two general strategies are proposed. Result and discussion follow. Finally in the appendix we consider stochastic effects in nonequilibrium systems. A few exactly solvable models are presented. For one model we show explicitly that stochastic behaviour in a microscopic description can lead to ordered collective effects on the macroscopic scale. Two others are solved to confirm the predictions of the fluctuation theorem. (author)
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Additional details
Publishing Information
- Imprint Pagination
- 95 p.
- ISSN
- 1232-5309
- Report number
- SINS--27/2
INIS
- Country of Publication
- Poland
- Country of Input or Organization
- Poland
- INIS RN
- 32002630
- Subject category
- S73: NUCLEAR PHYSICS AND RADIATION PHYSICS;
- Resource subtype / Literary indicator
- Thesis
- Descriptors DEI
- ANALYTICAL SOLUTION; CALCULATION METHODS; COMPUTER CALCULATIONS; CROSS SECTIONS; EQUATIONS OF MOTION; FLUCTUATIONS; FOKKER-PLANCK EQUATION; GERMANIUM 70 TARGET; HEAVY ION REACTIONS; KRYPTON 86 REACTIONS; LAGRANGE EQUATIONS; LANGEVIN EQUATION; MARKOV PROCESS; NUCLEAR MODELS; NUCLEAR POTENTIAL; NUCLEAR REACTION KINETICS; RUTHENIUM 104 TARGET; STOCHASTIC PROCESSES; XENON 136 TARGET
- Descriptors DEC
- DIFFERENTIAL EQUATIONS; EQUATIONS; HEAVY ION REACTIONS; KINETICS; MATHEMATICAL MODELS; NUCLEAR REACTIONS; PARTIAL DIFFERENTIAL EQUATIONS; POTENTIALS; REACTION KINETICS; STOCHASTIC PROCESSES; TARGETS; VARIATIONS
Optional Information
- Contract/Grant/Project number
- Grant PAA/NSF-96-253; Grant PAA/DOE-98-34
- Notes
- 111 refs, 37 figs, 1 tab
- Funding organization
- Maria Sklodowska-Curie Fund (Poland)