summer practice in jinr mathematical modeling of high-energy particle beams in accelerators
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Laboratory
List of participants: Marek Puchrowicz
Supervisor: dr Aleksander Polanski
Laboratory of Information Technologies
Monte Carlo Methods
Monte Carlo methods are a widely used class of computational algorithms for simulating the behavior of various physical and mathematical systems, and for other computations.
Monte Carlo methods are very important in computational physics, physical chemistry, and related applied fields, and have diverse applications from complicated quantum chromodynamics calculations to designing heat shields and aerodynamic forms.
Application Areas
Monte Carlo methods in finance Monte Carlo method in statistical physics In experimental particle physics, for designing detectors,
understanding their behavior and comparing experimental data to theory
Nuclear and particle physics codes using the Monte Carlo method:
– GEANT - CERN's Monte Carlo for high-energy particles physics – MCNP(X) – A General Monte Carlo N-Particle Transport Code– FLUKA Particle Transport Code - a particle physics Monte Carlo
simulation package The software is sponsored by INFN and CERN. FLUKA has many applications in high energy experimental physics and
engineering, shielding, detector and telescope design, cosmic ray studies, dosimetry, medical physics and radiobiology.
Transport equation
Particles transport is described by the classical linear Boltzmann or transport equation
Where ψ(r,E,Ω) is the ion angular flux, and Jnucl[ψ] and Jelec[ψ] are collision integrals describing, respectively, nuclear and electronic interactions.