DETECTION AND DISCRIMINATION BETWEEN ALPHA PARTICLES AND PROTONS BASED ON PHONONIC CRYSTALS MATERIALS

Ahmed Mehaney, Mostafa F. Eissa and Arafa H. Aly
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Ahmed Mehaney: Physics Department, Faculty of Science, Beni-Suef University, Egypt
Mostafa F. Eissa: Physics Department, Faculty of Science, Beni-Suef University, Egypt
Arafa H. Aly: Physics Department, Faculty of Science, Beni-Suef University, Egypt

Surface Review and Letters (SRL), 2019, vol. 26, issue 07, 1-7

Abstract: Ionizing particles detection based on phonons counting are considered as a growing research point of great interest. Phononic crystal (PnC) detectors have a higher resolution than other detectors. In the present work, we shall prepare a setup of a radiation detector based on a 1D PnC. The PnC detector can be used in detection and discrimination between protons and alpha particles with incident energy 1MeV. We have proposed a model capable of filtering the energies of two different ionizing particles (proton and alpha particle) of specific lattice frequencies in steps. Firstly, the high probability of phonons production was found at transmitted energy 5KeV from the whole path of protons and alpha particles through a vertical thin sheet made from Mylar and Polymethyl methacrylate (PMMA), respectively. The outgoing elastic waves are subjected to propagate through the proposed PnCs structure (Teflon-Polyethylene)2 that shows the different transmission percentage to each particle. Therefore, the detection and discrimination between ionizing ions were achieved.

Keywords: Phononic crystals materials; detection; discrimination; filtering; mechanical waves (search for similar items in EconPapers)
Date: 2019
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DOI: 10.1142/S0218625X18502190

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