Depth profile study of Pb-210 in the surface of an NaI(Tl) crystal
- Authors
- Yu, G. H.; Ha, C.; Jeon, E. J.; Kim, K. W.; Kim, N. Y.; Kim, Y. D.; Lee, H. S.; Park, H. K.; Rott, C.
- Issue Date
- 3월-2021
- Publisher
- ELSEVIER
- Keywords
- Surface contamination; Depth profile; (210) Pb; (210) Po; NaI(Tl) crystal
- Citation
- ASTROPARTICLE PHYSICS, v.126
- Indexed
- SCIE
SCOPUS
- Journal Title
- ASTROPARTICLE PHYSICS
- Volume
- 126
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/49538
- DOI
- 10.1016/j.astropartphys.2020.102518
- ISSN
- 0927-6505
- Abstract
- The surface Pb-210 is one of the main background sources for dark-matter-search experiments using NaI(Tl) crystals, and its spectral features associated with the beta-decay events for energies less than 60 keV depends on the depth distribution of Pb-210 in the surface of an NaI(Tl) crystal. Therefore, we must understand the profile of surface Pb-210 to precisely model the background measurement in the low-energy region for the low-background experiment using NaI(Tl) crystals. We estimate the depth profile of the surface Pb-210 contamination by modeling the measured spectrum of the alpha emission from the decay of Po-210 at the decay sequence of the surface Pb-210 contamination that is obtained using an Rn-222-contaminated crystal. In order to describe the energy spectra of the surface contamination we perform a log-likelihood fit of the measured data to a sum of Geant4 Mote Carlo simulations, weighted by an exponential curve as a function of the surface depth. The lowand high-energy events from the beta decay of surface Pb-210 are also modeled to improve the depth profile for shallow depths. We simulate the energy spectra from beta decays of Pb-210 that are exponentially distributed in the surface by following two exponential functions where the mean-depth coefficients are free parameters in the data fitting; we observed that the energy spectra are in good agreement with the measured data. (C) 2020 Elsevier B.V. All rights reserved.
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Collections - Graduate School > Department of Accelerator Science > 1. Journal Articles
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