The decommissioning of nuclear installations, as well as the possible necessary accident remediations, requires the physical presence of human operators in potentially radiologically hostile environments. The number of active nuclear reactors worldwide is greater than 400, and most of them are 40 to 50 years old, thus implying that soon they will have to be dismantled. In the framework of the H2020 CLEANDEM project, a small robotic vehicle is being developed that is equipped with a series of different sensors for areas that are significantly contaminated by radiation. In this work, we describe the MiniRadMeter system, a compact low-cost sensor capable of being used to perform quick gamma and neutron radiation field mapping of environments prior to the possible start of human operations. The miniature gamma sensor is a 1 cm scintillator counter with moderate spectroscopic features read out by means of a 6 × 6 mm SiPM, whereas neutrons are detected by means of a silicon diode coupled to a layer of LiF and placed inside a 6 × 6 × 6 cm polyethylene box. The front-end and data acquisition electronics were developed based on a Raspberry Pi4 microcomputer. In this paper, the system performance and the preliminary test results are described.
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http://dx.doi.org/10.3390/s23094210 | DOI Listing |
MethodsX
June 2025
Department of Geophysical Engineering, Institut Teknologi Sepuluh Nopember, Indonesia.
Lithology classification is crucial for efficient and sustainable resource exploration in the oil and gas industry. Missing values in well-log data, such as Gamma Ray (GR), Neutron Porosity (NPHI), Bulk Density (RHOB), Deep Resistivity (RS), Delta Time Compressional (DTCO), Delta Time Shear (DTSM), and Resistivity Deep (RD), significantly affect machine learning classification accuracy. This study applied three algorithms, extreme gradient boosting (XGBoost), K-nearest neighbours (KNN), and the artificial neural network (ANN), to handle missing values in well-log datasets, particularly datasets with extreme missing data (30 %).
View Article and Find Full Text PDFJ Low Temp Phys
December 2024
Physik-Department, Technische Universität München, Garching, Germany.
Any experiment aiming to measure rare events, like Coherent Elastic neutrino-Nucleus Scattering (CE NS) or hypothetical Dark Matter scattering, via nuclear recoils in cryogenic detectors relies crucially on a precise detector calibration at sub-keV energies. The Crab collaboration developed a new calibration technique based on the capture of thermal neutrons inside the target crystal. Together with the Nucleus experiment, first measurements with a moderated Cf neutron source and a cryogenic detector were taken.
View Article and Find Full Text PDFAppl Radiat Isot
January 2025
Department of Molecular and Genomic Biomedicine, Nagasaki University Graduate School of Biomedical Sciences, 852-8523, Nagasaki, Japan; Central Radioisotope Division, National Cancer Center Research Institute, 104-0045, Tokyo, Japan; Division of BNCT, EPOC, National Cancer Center, Tokyo, Japan; Division of Chemotherapy and Clinical Cancer Research, National Cancer Center Research Institute, 104-0045, Tokyo, Japan. Electronic address:
Boron neutron capture therapy (BNCT) is based on nuclear reactions between thermal neutron and boron-10 preferentially distributed in the cancer cells. B-boronophenylalanine (BPA) is the approved drug for treatment of oral cancers for BNCT. However, the predictive biomarkers to evaluate therapeutic efficacy and side-effects have not been clarified yet.
View Article and Find Full Text PDFAppl Radiat Isot
January 2025
Experimental Nuclear Physics Department, Nuclear Research Centre, Egyptian Atomic Energy Authority, Egypt; Cyclotron Facility, Egyptian Atomic Energy Authority, Egypt.
Neutron and gamma-ray shielding design for a 30Ci (1.11TBq) Am-Be irradiation facility is studied using MCNP5 Monte Carlo simulation code. The study focuses on the optimization of the shielding layers of the previously planned neutron irradiation facility.
View Article and Find Full Text PDFSoft Matter
January 2025
Division of Physical Chemistry, Department of Chemistry, Lund University, PO Box 124, SE-221 00 Lund, Sweden.
Attempts to use colloid science concepts to better understand the dynamic properties of concentrated or crowded protein solutions are challenging due to the fact that globular proteins generally have heterogeneous surfaces that result in anisotropic or patchy contributions to their interaction potential. This is particularly difficult when targeting non-equilibrium transitions such as glass and gel formation in concentrated protein solutions. Here we report a systematic study of the reduced zero shear viscosity of the globular protein -crystallin, an eye lens protein that plays a vital role in vision-related phenomena such as cataract formation or presbyopia, and compare the results to the existing structural and dynamic data.
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