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| − | + | Simulation of physics processes plays a vital role in modern large-scale experiments such as at LHC. On the other hand, simulations are also critical for smaller setups, like estimating the dose in radiation therapy. In order to simulate processes a number of numerical and statistical tools are used. In this lab course, the methods for solving differential equations are applied to simulate the trajectory of an electron in the electromagnetic field. Along with this, the simple Monte-Carlo simulation of the mass of a resonance particle is done using the acceptance-rejection method and the inverse transform sampling method. Finally, all the methods are applied to the simulation of a particle decay and its reconstruction. | |
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| − | + | [http://f-praktikum.ep1.ruhr-uni-bochum.de/anleitung/Versuch108.PDF Manual] | |
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| − | [http://f-praktikum.ep1.ruhr-uni-bochum.de/anleitung/Versuch108.PDF | ||
Aktuelle Version vom 8. April 2025, 10:32 Uhr
108 Experimentsimulation
Simulation of physics processes plays a vital role in modern large-scale experiments such as at LHC. On the other hand, simulations are also critical for smaller setups, like estimating the dose in radiation therapy. In order to simulate processes a number of numerical and statistical tools are used. In this lab course, the methods for solving differential equations are applied to simulate the trajectory of an electron in the electromagnetic field. Along with this, the simple Monte-Carlo simulation of the mass of a resonance particle is done using the acceptance-rejection method and the inverse transform sampling method. Finally, all the methods are applied to the simulation of a particle decay and its reconstruction.
