A Study of Muon Production Using Electron Beams and RPC Detection Techniques

Not scheduled
20m
Poster Physics and Simulation

Speaker

Tahany Elhussieny Abdelhameid (ENHEP Egyptian Network of High Energy Physics (EG))

Description

Muon detection is an important aspect of modern high energy physics experiments due to the strong penetration capability of muons compared with other secondary particles. In this work, a simulation study was carried out using the FLUKA Monte Carlo package to investigate the production of muons generated by the interaction of electron beams with different target materials and target thicknesses. The simulation was used to evaluate the yields of secondary particles, including $\mu^{+}$, $\mu^{ -}$, electrons, positrons, and gamma particles, in order to study the dependence of particle production on the target configuration and to identify conditions that enhance muon generation while reducing background radiation. Since electromagnetic interactions inside the target produce a large amount of unwanted particles, a concrete shielding system was implemented downstream of the target to suppress the background flux. The obtained results showed that the shielding was highly effective in removing electrons, positrons, and gamma particles, whereas muons were able to traverse the shielding because of their high penetration capability.

To investigate the detector response to the transmitted muons, an RPC prototype geometry was included in the simulation setup. The energy spectra and spatial hit distributions on the RPC detector plane were analyzed to study the expected muon response and detection performance. The results demonstrate that the combination of shielding techniques with RPC based detection systems provides a possible method for selective muon detection in electron beam induced environments, making this approach promising for future beam test experiments and RPC detector studies.

Author

Tahany Elhussieny Abdelhameid (ENHEP Egyptian Network of High Energy Physics (EG))

Co-authors

M N Yaassin Mapse Barroso (Universidade do Estado do Rio de Janeiro) Yasser Assran

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