Thick activation detectors for neutron spectrometry using different unfolding methods: sensitivity analysis and dose calculation

Ishak-Boushaki, G. Medkour; Boukeffoussa, Khelifa; Idiri, Z.; Allab, M.

doi:10.1016/j.apradiso.2011.11.008

Cited by 10 publications

(4 citation statements)

References 11 publications

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“…Very low dose rate was applied to the posterior portions of the rats from 185 GBq (5 Ci) 241 Am-Be neutron source capsule X.14 (code AMN.24) (Amersham International PLC, Buckinghamshire, England). 241 Am-Be neutron source emits spectrum neutrons from 0 up to 11 MeV [ 18 , 19 ] and an average energy around 4.5 MeV [ 8 , 20 , 21 ]. The neutron emission of the source is 1.1 × 10 7 n s −1 with tolerance of around 10 %.…”

Section: Methodsmentioning

confidence: 99%

Effects of Very Low Dose Fast Neutrons on Cell Membrane And Secondary Protein Structure in Rat Erythrocytes

et al. 2015

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The effects of ionizing radiation on biological cells have been reported in several literatures. Most of them were mainly concerned with doses greater than 0.01 Gy and were also concerned with gamma rays. On the other hand, the studies on very low dose fast neutrons (VLDFN) are rare. In this study, we have investigated the effects of VLDFN on cell membrane and protein secondary structure of rat erythrocytes. Twelve female Wistar rats were irradiated with neutrons of total dose 0.009 Gy (241Am-Be, 0.2 mGy/h) and twelve others were used as control. Blood samples were taken at the 0, 4th, 8th, and 12th days postirradiation. Fourier transform infrared (FTIR) spectra of rat erythrocytes were recorded. Second derivative and curve fitting were used to analysis FTIR spectra. Hierarchical cluster analysis (HCA) was used to classify group spectra. The second derivative and curve fitting of FTIR spectra revealed that the most significant alterations in the cell membrane and protein secondary structure upon neutron irradiation were detected after 4 days postirradiation. The increase in membrane polarity, phospholipids chain length, packing, and unsaturation were noticed from the corresponding measured FTIR area ratios. This may be due to the membrane lipid peroxidation. The observed band shift in the CH2 stretching bands toward the lower frequencies may be associated with the decrease in membrane fluidity. The curve fitting of the amide I revealed an increase in the percentage area of α-helix opposing a decrease in the β-structure protein secondary structure, which may be attributed to protein denaturation. The results provide detailed insights into the VLDFN effects on erythrocytes. VLDFN can cause an oxidative stress to the irradiated erythrocytes, which appears clearly after 4 days postirradiation.

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Section: Methodsmentioning

confidence: 99%

Effects of Very Low Dose Fast Neutrons on Cell Membrane And Secondary Protein Structure in Rat Erythrocytes

et al. 2015

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“…Equations 1 through 3 are ill-conditioned equations system with an infinite number of solutions which have motivated researches to propose new and complementary approaches [38][39][40][41][42].…”

Section: Neutron Spectrometry With Artificial Neural Networkmentioning

confidence: 99%

Synapse. A Neutron Spectrum Unfolding Code Based on Generalized Regression Artificial Neural Networks

Martínez-Blanco¹,

Serrano-Muñoz²,

Vega-Carrillo³

et al. 2020

EAI Endorsed Transactions on Industrial Networks and Intelligen

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In its broadest sense, the term artificial intelligence indicates the ability of an artifact to perform the same types of functions that characterize human thought. The goal of AI is to use algorithms, heuristics and methodologies based on the ways in which the human brain solves problems. Artificial neural networks recreate the structure of the human brain imitating the learning process. The Artificial neural networks theory has provided an alternative to classical computing for those problems in which traditional methods have delivered results that are not very convincing or not very convenient such as in the case of the neutron spectrometry and dosimetry problem for radiation protection purposes, using the Bonner spheres spectrometer as measurement system, mainly because many problems are encountered when trying to determine the neutron energy spectrum of a measured data. The most delicate part of the spectrometry based on this system is the unfolding process, for which several neutron spectrum unfolding codes have being developed. However, these codes require an initial guess spectrum in order to initiate the unfolding process. Their poor availability and their not easy management for the end user are other associated problems. Artificial Intelligence technology, is an alternative technique that is gaining popularity among researchers in neutron spectrometry research area, since it offers better results compared with the traditional solution methods. In this work, "Synapse", a neutron spectrum unfolding code based on Generalized Regression Artificial Neural Networks technology is presented. The Synapse code is capable to unfold the neutron spectrum and to calculate 15 dosimetric quantities using the count rates, coming from a BSS as the only entrance information. The results obtained show that the Synapse code, based on GRANN technology, is a promising and innovative technological alternative for solving the neutron spectrometry and dosimetry problems.

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“…From here on, these will be named 0, 2, 3, 5, 8, 10, and 12 in-diameter spheres respectively. This type of spectrometer has been widely used to determine the neutron spectra of different sources (Bedogni, 2011;IshakBoushaki et al, 2012;Viererbl et al, 2012), and different thermal neutron detectors Ishak-Boushaki et al, 2012;Viererbl et al, 2012). With the BUNKIUT code (Lowry and Johnson, 1984) and the UTA4 response matrix (Hertel and Davidson, 1985), the count rates of Bonner spheres were used to unfold the neutron spectra, <P E (£).…”

Section: Measurementsmentioning

confidence: 99%

Neutron features at the UPM neutronics hall

Vega-Carrillo

Gallego

Lorente

et al. 2012

Applied Radiation and Isotopes

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HIGHLIGHTS• Neutron spectra and ambient dose equivalent, of a neutronics hall has been estimated.• Using Monte Carlo methods a detailed model of the hall and the new Al-made measuring bench were used to estimate neutron spectra and H*(10).• Neutron spectra were measured using a Bonner sphere spectrometer along the measuring bench, neutron spectra were used to estimate the H* (10) and to calculate the total fluence rate.• H*(10) was also measured using the neutron area monitor LB 6411 and compared with values obtained in the Monte Carlo calculations.• Total fluence rate was fitted to the semiempirical model. ABSTRACTThe neutronics hall of the Nuclear Engineering Department at the Polytechnical University of Madrid has been characterized. The neutron spectra and the ambient dose equivalent produced by an 241 AmBe source were measured at various source-to-detector distances on the new bench. Using Monte Carlo methods a detailed model of the neutronics hall was designed, and neutron spectra and the ambient dose equivalent were calculated at the same locations where measurements were carried out. A good agreement between measured and calculated values was found.

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Thick activation detectors for neutron spectrometry using different unfolding methods: sensitivity analysis and dose calculation

Cited by 10 publications

References 11 publications

Effects of Very Low Dose Fast Neutrons on Cell Membrane And Secondary Protein Structure in Rat Erythrocytes

Effects of Very Low Dose Fast Neutrons on Cell Membrane And Secondary Protein Structure in Rat Erythrocytes

Synapse. A Neutron Spectrum Unfolding Code Based on Generalized Regression Artificial Neural Networks

Neutron features at the UPM neutronics hall

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