Gamma Spectrum Stabilization for Environmental Radiation Monitoring Stations Using Nai(tl) Detector

Hung, Dinh Tien; Hiep, Cao Van; Khang, Pham Dinh; Hải, Nguyễn Xuân; Anh, Nguyen Ngoc; Dinh, Duc Anh; Hao, T. V. Nhan; Pham, V.

doi:10.1093/rpd/ncaa011

Cited by 8 publications

(5 citation statements)

References 8 publications

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“…The relationship law range of −5 °C to 50 °C is the same as in Naumenko et al [20]; after 20 °C, it follows the same relationship law as the experiment data in Mitra et al [21]. However, it is different from the linear function relationship law in Hung et al [22] and Chen et al [23]. This outcome is related to factors such as hardware selection, processing programs, and the software algorithms of radioactivity sensors and illustrates the complexity of spectrum drift from another perspective.…”

Section: Relationship Law Between Temperature and Peak Position Chann...supporting

confidence: 59%

A New Method for the Correction of Spectrum Drift Caused by Temperature Changes When Using a NaI(Tl) Seawater Radioactivity Sensor

Shi,

Zhang,

Feng

et al. 2024

JMSE

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The seawater radioactivity sensor based on the NaI(Tl) scintillation crystal detection method is prone to spectrum drift due to environment temperature changes during actual measurement, which pose difficulties in the activity analysis of seawater radionuclides. This paper adopts experiment design and analysis methods to study the relationship laws between temperature and peak position channel address and between gain and the peak position channel address. On the basis of studying and summarizing the two relationship laws of the NaI(Tl) seawater radioactivity sensor, a spectrum drift correction method combining gain adjustment and spectrum processing is proposed. Laboratory air and water environment experiments verify that the peak position channel address drift after air environment correction does not exceed ±2 channels, and after water environment correction does not exceed ±1 channel. Long-term verification experiments at the seawater work site have shown that this correction method can effectively correct the spectrum drift of the NaI(Tl) seawater radioactivity sensor and meet the requirements of long-term automatic operations at sea for the measured spectrum.

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Section: Relationship Law Between Temperature and Peak Position Chann...supporting

confidence: 59%

A New Method for the Correction of Spectrum Drift Caused by Temperature Changes When Using a NaI(Tl) Seawater Radioactivity Sensor

Shi,

Zhang,

Feng

et al. 2024

JMSE

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“…The radioactive source and detector are mounted to holders with a fixed source-to-detector distance. The signal from the detector is amplified and analyzed on the self-developed digital multichannel analyzer (DMCA) [12]. The radiation spectrum from the DMCA is transmitted to the PC for analysis and storage.…”

Section: Validation and Test Data Set Creationmentioning

confidence: 99%

“…The gamma spectrum obtained on the scintillation detectors is strongly dependent on the ambient temperature, especially in outdoor measurement [12]. Therefore, the recognition model needs to be verified with gain-shift gamma spectra.…”

Section: B Mixture Isotopes Identificationmentioning

confidence: 99%

Nuclide identification algorithm for Polyvinyl Toluene scintillation detector based on Deep Neural Network

Cao,

Dinh,

Dinh

et al. 2024

Nucl. Sci. and Tech.

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Radiation portal monitors (RPMs) are now stationed at strategic areas (airports, ports, etc.) to identify the illegal transportation of radioactive sources and nuclear items. RPMs are typically fitted with a PVT detector with a high recording efficiency. Radioisotope identification from the gamma spectrum acquired on this detector is normally not regarded due to the low resolution. This research describes an artificial neural network-based isotope identification algorithm that was applied to the gamma spectrum collected from the RPM's PVT detector. With excellent precision, this approach can detect one or a mixture of isotopes on the spectrum. The model still recognizes the training isotopes with >89 percent accuracy for spectra with the gain displacement in the range of 20 percent.

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“…At the same time, the volume of the scintillator cannot be too small in order to collect enough events for statistical relevance. In fact, the standard size of NaI scintillators for portable gamma spectrometers for environmental monitoring is 2″ [ 13 ]. The final choice related to the scintillator concerns its shape and the number and arrangement of SiPMs attached to its face.…”

Section: Instrument Designmentioning

confidence: 99%

Handheld Magnetic-Compliant Gamma-Ray Spectrometer for Environmental Monitoring and Scrap Metal Screening

Carminati

Vita

Morandi³

et al. 2022

Sensors

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Spotting radioactive material in waste is of paramount importance for environment protection. This is particularly challenging when orphan sources are hidden in scrap metal that shields their activity from the traditional detectors in the portals scanning incoming trucks. In order to address this issue, we present a wireless and compact SiPM-based gamma spectrometer compatible with strong magnetic fields (0.1 T) to be installed in the bore of the lifting electromagnets to scan reduced volumes of metal and thus achieve higher sensitivity. The microcontroller-based instrument provides 11% energy resolution (at 662 keV), an energy range from 60 keV to 1.5 MeV, a max. count rate of 30 kcps, a weight <1 kg, and a power consumption <1 W. The results of its extensive characterization in the laboratory and its validation in the field, including operation in a scrap yard as well as on a drone, are reported.

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Gamma Spectrum Stabilization for Environmental Radiation Monitoring Stations Using Nai(tl) Detector

Cited by 8 publications

References 8 publications

A New Method for the Correction of Spectrum Drift Caused by Temperature Changes When Using a NaI(Tl) Seawater Radioactivity Sensor

A New Method for the Correction of Spectrum Drift Caused by Temperature Changes When Using a NaI(Tl) Seawater Radioactivity Sensor

Nuclide identification algorithm for Polyvinyl Toluene scintillation detector based on Deep Neural Network

Handheld Magnetic-Compliant Gamma-Ray Spectrometer for Environmental Monitoring and Scrap Metal Screening

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