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Zeng C, Lai W, Lin H, Liu G, Qin B, Kang Q, Feng X, Yu Y, Gu R, Wu J, Mao L. Weak information extraction of gamma spectrum based on a two-dimensional wavelet transform. Radiat Phys Chem Oxf Engl 1993 2023. [DOI: 10.1016/j.radphyschem.2023.110914] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/18/2023]
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Zeng C, Lai W, Zhou J, Lin H, Feng X, Yu Y, Gu R, Sun S, Wu J. Application of FSVD Algorithm to Airborne Gamma Detection of Trace Radionuclides in the Process of a High Radon Background. NUCL TECHNOL 2023. [DOI: 10.1080/00295450.2022.2133515] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Affiliation(s)
- Chenhao Zeng
- Chengdu University of Technology, College of Nuclear Technology and Automation Engineering, Chengdu 610059, Sichuan, China
| | - Wanchang Lai
- Chengdu University of Technology, College of Nuclear Technology and Automation Engineering, Chengdu 610059, Sichuan, China
| | - Jinge Zhou
- Chengdu University of Technology, College of Nuclear Technology and Automation Engineering, Chengdu 610059, Sichuan, China
| | - Hongjian Lin
- Chengdu University of Technology, College of Nuclear Technology and Automation Engineering, Chengdu 610059, Sichuan, China
| | - Xiaojie Feng
- Chengdu University of Technology, College of Nuclear Technology and Automation Engineering, Chengdu 610059, Sichuan, China
| | - Yongping Yu
- Chengdu University of Technology, College of Nuclear Technology and Automation Engineering, Chengdu 610059, Sichuan, China
| | - Runqiu Gu
- Chengdu University of Technology, College of Nuclear Technology and Automation Engineering, Chengdu 610059, Sichuan, China
| | - Shangqing Sun
- Chengdu University of Technology, College of Nuclear Technology and Automation Engineering, Chengdu 610059, Sichuan, China
| | - Jinfei Wu
- Chengdu University of Technology, College of Nuclear Technology and Automation Engineering, Chengdu 610059, Sichuan, China
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Rizzo A, Cardellini F, Poggi C, Borra E, Ciciani L, Narici L, Sperandio L, Vilardi I. Novel Algorithm for Radon Real-Time Measurements with a Pixelated Detector. SENSORS 2022; 22:s22020516. [PMID: 35062477 PMCID: PMC8780917 DOI: 10.3390/s22020516] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/19/2021] [Revised: 01/06/2022] [Accepted: 01/06/2022] [Indexed: 02/04/2023]
Abstract
Nowadays, radon gas exposure is considered one of the main health concerns for the population because, by carrying about half the total dose due to environmental radioactivity, it is the second cause of lung cancer after smoking. Due to a relatively long half-life of 3.82 days, the chemical inertia and since its parent Ra-226 is largely diffuse on the earth’s crust and especially in the building materials, radon can diffuse and potentially saturate human habitats, with a concentration that can suddenly change during the 24 h day depending on temperature, pressure, and relative humidity. For such reasons, ‘real-time’ measurements performed by an active detector, possibly of small dimensions and a handy configuration, can play an important role in evaluating the risk and taking the appropriate countermeasures to mitigate it. In this work, a novel algorithm for pattern recognition was developed to exploit the potentialities of silicon active detectors with a pixel matrix structure to measure radon through the α emission, in a simple measurement configuration, where the device is placed directly in air with no holder, no collection filter or electrostatic field to drift the radon progenies towards the detector active area. This particular measurement configuration (dubbed as bare) requires an α/β-discrimination method that is not based on spectroscopic analysis: as the gas surrounds the detector the α particles are emitted at different distances from it, so they lose variable energy amount in air depending on the traveled path-length which implies a variable deposited energy in the active area. The pixels matrix structure allows overcoming this issue because the interaction of α, β and γ particles generate in the active area of the detector clusters (group of pixels where a signal is read) of different shape and energy dispersion. The novel algorithm that exploits such a phenomenon was developed using a pixelated silicon detector of the TimePix family with a compact design. An α
(Am-241) and a β (Sr-90) source were used to calibrate the algorithm and to evaluate its performances in terms of β rejection capability and α recognition efficiency. Successively, the detector was exposed to different radon concentrations at the ENEA-INMRI radon facility in ‘bare’ configuration, in order to check the linearity of the device response over a radon concentration range. The results for this technique are presented and discussed, highlighting the potential applications especially the possibility to exploit small and handy detectors to perform radon active measurements in the simplest configuration.
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Affiliation(s)
- Alessandro Rizzo
- Radiation Protection Institute (IRP)—Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Via Anguillarese 301, 00123 Rome, Italy; (E.B.); (L.C.); (L.S.); (I.V.)
- Correspondence:
| | - Francesco Cardellini
- National Institute of Ionizing Radiation Metrology (INMRI)—Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Via Anguillarese 301, 00123 Rome, Italy;
| | - Claudio Poggi
- Radiation Protection Institute (IRP)—Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Via Enrico Fermi 45, 00044 Rome, Italy;
| | - Enrico Borra
- Radiation Protection Institute (IRP)—Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Via Anguillarese 301, 00123 Rome, Italy; (E.B.); (L.C.); (L.S.); (I.V.)
| | - Luca Ciciani
- Radiation Protection Institute (IRP)—Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Via Anguillarese 301, 00123 Rome, Italy; (E.B.); (L.C.); (L.S.); (I.V.)
| | - Livio Narici
- Physics Department, University of Rome “Tor Vergata”, Via Della Ricerca Scientifica 1, 00133 Rome, Italy;
| | - Luciano Sperandio
- Radiation Protection Institute (IRP)—Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Via Anguillarese 301, 00123 Rome, Italy; (E.B.); (L.C.); (L.S.); (I.V.)
| | - Ignazio Vilardi
- Radiation Protection Institute (IRP)—Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Via Anguillarese 301, 00123 Rome, Italy; (E.B.); (L.C.); (L.S.); (I.V.)
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