Dergiler / TOJSAT / 2016 / Volume: 6 Issue: 2

POSITION OPTIMISATION OF GE DETECTORS IN NUCLEAR RESONANCE FLUORESCENCE (NRF) EXPERIMENT BY USING MONTE CARLO METHOD

Hüseyin Ozan Tekin(Üsküdar University, Vocational School of Health Services, Riotherapy Department, İstanbul, Turkey)
Iskender Akkurt(Süleyman Demirel University, Faculty of Art and Science, Physics Department, Isparta, Turkey)
Dergi
TOJSAT
Sayfa
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Yayın Tarihi
2016-07-23
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

It can be concluded that maximum photon fluence is recorded at the under of the NRF target

📌 3 Maddede Bu Makale

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Amaç & Hipotez:Nuclear resonance fluorescence (NRF) supplies good information to study nuclear structure of isotopes.
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Temel Bulgular & Veri:The main perquisite for excitation to occur, the incoming photon must have energy equal to one of the excited states of absorbing nucleus.
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Sonuç & Katkı:It can be concluded that maximum photon fluence is recorded at the under of the NRF target
🔬Tür:Article
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Monte Carlo Simulation · Nuclear Resonance Fluorescence (NRF)

Abstract

Nuclear resonance fluorescence (NRF) supplies good information to study nuclear structure of isotopes. The main perquisite for excitation to occur, the incoming photon must have energy equal to one of the excited states of absorbing nucleus. After absorption of the photon, nucleus will have a transition to the excited state pertaining to photon energy and then the excited nucleus will decay back to the ground state by emitting a gamma ray that has energy equal to that excited state. This process is called nuclear resonance fluorescence (NRF). In this study, we estimated the optimum detector position by considering maximum photondetector interaction and counted photon amount. It can be concluded that maximum photon fluence is recorded at the under of the NRF target

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Bu Makaleye Atıf Yap

Tekin, H. O., Akkurt, I. (2016). POSITION OPTIMISATION OF GE DETECTORS IN NUCLEAR RESONANCE FLUORESCENCE (NRF) EXPERIMENT BY USING MONTE CARLO METHOD. TOJSAT, Volume: 6 Issue: 2. https://ajindex.com/articles/1660211

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