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Optimization of organi̇c scintillator using Monte Carlo method

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2018
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Abstract (EN)

Simulation methods that are used effectively in many different areas of science and technology have provided a great convenience and an important tool in terms of safety, material resources and time in nuclear physics applications. Monte Carlo Nuclear Particle Transport (MCNP) code, which has the ability to simulate neutron, photon, and electron interaction with matter, is also used in the design of scintillators with succesful sample applications. In this study, thickness and additive optimization of a plastic scintillator was performed using MCNP code. In the optimization, polystyrene was used as the main material, PPO as the primary additive and POPOP as the secondary additive. The simulations of the cylindrical scintillator model are done at 0.2 to 2.5 MeV energy range. Innitialy the effective thickness is determined and then the effect of different primary and secondary additives at 0.6 MeV are investigated.

Author

Nihan Ermiş Gülenç

How to Cite

Nihan Ermiş Gülenç (Master Thesis). Optimization of organi̇c scintillator using Monte Carlo method, 2018, Yıldız Technical University.

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