The effect of the housing material on the NaI(Tl) detector response function

Tarim, U. Akar; Ozmutlu, E.N.; Gürler, O.; Yalçın, S.

doi:10.1007/s10967-012-1716-z

Cited by 7 publications

(2 citation statements)

References 9 publications

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“…Recently, there are many experimental studies and computational works regarding DRF analysis have been conducted. Tarim et al (2012) has investigated the response function of NaI(Tl) detector using Monte Carlo simulation [6] and Tavakali-Anbaran et al has simulated the detector response function based on the effect of detector dimension using MCNP code [7]. For source dimension effect, Asrafi (2006) has performed the response function analysis of the NaI scintillator to the gamma rays from large volume sources [8].…”

Section: Introductionmentioning

confidence: 99%

“…Generally, it is difficult to predict the response function in detail. The Monte Carlo methods make it possible to calculate the detector response function and it has been established as an appropriate method for modeling a large variety of physical situations and it is useful for predicting the experiment results based on the theory especially for validation of the NaI(Tl) detector model [6][7][8][9][10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

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Response Function of Collimated Detector for Non Axial Detector-Source Geometry

Wirawan

Djamal

Waris

et al. 2013

AMR

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Response function is a fundamental parameter for all detectors in order to analyze the energy distribution of gamma ray which undergoes scattering interaction with the material. The response functions of a 3 in. x 3 in. NaI(Tl) collimated detector for non axis detector-source geometry has been calculated using a Monte Carlo approach from GEANT4 simulation code with 0.662 MeV of mono-energetic of photon gamma ray. Collimated Pb with 4 cm thickness and 2 cm of holes diameter were employed for shielding. The source was assumed as an isotropic point source and it is placed at various positions to the detector axis. The comparison between the measured energy response functions and the simulated energy response functions after normalization were also performed in order to validate the modeling results.

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