Skip to main content

Applied Radiation and Isotopes

ISSN: 0969-8043

Visit Journal website

Datasets associated with articles published in Applied Radiation and Isotopes

Filter Results
1970
2024
1970 2024
15 results
  • Data for: Flow regime and volume fractions identification using nuclear technique, artificial neural network and computational fluid dynamic
    ANN results from MCNP and CFD studies.
    • Dataset
  • Data for: Radiolysis and radionuclide production in a water-filled target during fast 40Ca20+ irradiation
    Data to accompany a manuscript about the results of a 40Ca irradiation of a flowing water target at the National Superconducting Cyclotron Laboratory.
    • Dataset
  • Data for: A portable internal contamination monitor with dual detectors for screening in a large-scale radiological incident
    Fig. 7 presents the spectra of natural background acquired by a portable internal contamination monitor in 5 hours in the internal irradiation physics laboratory. Peaks of K-40 at 1460.8keV and Tl-208 at 2614keV are significant. The 6mm-Lead shield also reduced the count rate caused by the background radia-tion, especially in the low energy region. Fig.8 demonstrates the gamma spectral of sMBCAM acquired by a portable internal contamination monitor in natural environment. Peaks of artificial nuclides, including Cs-137 at 662keV, Y-88 at 898keV, Co-60 at 1173.2keV and 1332.5keV, are recognized easily.
    • Dataset
  • Data for: Development of the clearance verification equipment for uranium-bearing waste
    Calibration curves and Standard deviation
    • Dataset
  • Data for: Positron emission tomography to visualise in-situ microbial metabolism in natural sediments
    Supplementary data-set to augment work published in Thorpe et al. "Positron emission tomography to visualise in-situ microbial metabolism in natural sediments"
    • Dataset
  • Data for: Use of Genie 2000 and Excel VBA to correct for g-ray interference in the determination of NORM building material activity concentrations
    Additional Supporting Information: Appendix S1 – Summary of summing-in and summing-out effects for 228Ac. Appendix S2 – Visual Basic code for Microsoft Excel applications developed in this study.
    • Dataset
  • Data for: Development, validation and implementation of radio-HPLC methods for the P2X7-receptor-targeted [11C]GSK1482160 radiopharmaceutical
    Supplementary Material Table 1. Experimental data used in the determination of Limit of Detection (LOD) and Limit of Quantitation (LOQ), based on the signal-to-noise ratio. Supplementary Material Table 2. Experimental data used to calculate method accuracy, ex- pressed as % Recovery, at three concentration levels, for both components, the desmethyl- GSK1482160 precursor and GSK1482160. Supplementary Material Table 3. Experimental data of ten replicate standard injections (with the standard concentration of 10.0 nmol/mL), used in the precision-repeatability calculations. Supplementary Material Table 4A. Experimental data used to assess linearity in the radiophar- maceutical sample concentration range (of 1.0 nmol/mL to 15.0 nmol/mL) for both components GSK1482160 and desmethyl-GSK1482160 precursor. Supplementary Material Table 4B. Linearity results for standard solutions at five concentration levels: 10%, 25%, 50%, 100%, and 150% of nominal sample concentration.
    • Dataset
  • Data for: Nuclear event zero time determination using analytical solutions of radioxenon activities under in-growth condition
    Supplementary material contains the comprehensive analytical formulas of radioxenon isotopic activity under in-growth conditions for the four relevant CTBT radioxenons, Xe-135, Xe-133, Xe-133m and Xe-131m. Supplementary material 4 is a matlab m.file that contains also the updated values in 2017 of the half-life, the branching ratio and the independent fission yield.
    • Dataset
  • Data for: Neutron Activation Analysis for the Characterization of Seawater Uranium Adsorbents
    Raw data for adsorbent characterization
    • Dataset
  • Identification of weak peaks in X-ray fluorescence spectrum analysis based on the hybrid algorithm combining genetic and Levenberg Marquardt algorithm
    Accurate measurement of cadmium content in rice is of utmost importance to determine if the inspected rice product is safe to people. X-ray fluorescence analysis is frequently used for multi-element analysis because it has characteristics of fast, accurate and nondestructive. However, due to the low content of cadmium in rice, its corresponding characteristics energy peak is relatively weak and is sensitive to the background information in the X-ray energy spectrum. Thus, it is very tough to obtain the accurate values of cadmium content by utilizing traditional X-ray fluorescence analysis. In this paper, the identification of weak peaks of cadmium is much improved by proposing a hybrid algorithm combining genetic algorithm (GA) and Levenberg-Marquardt algorithm (LM). The hybrid algorithm not only takes full advantages of GA and LM respectively but also inhibits their unwanted properties: poor local search ability of GA and locally convergent of LM. The proposed hybrid algorithm is employed to identify weak peaks in X-ray spectra of six contaminated rice samples with different contents of cadmium. Two comparative experiments are conducted to compare the performance between GA, LM and the proposed hybrid algorithm. One of the comparative experiments has the relative error varying with the number of calculations, which aims to verify the accuracy and stability. The results show that the hybrid algorithm is a better option in terms of accuracy and stability. Another comparative experiment of which the average relative error varies with the number of iterations is conducted to verify the computing efficiency. The experiments show that the hybrid algorithm exhibits a faster convergence rate. Two numerical experiments demonstrate that the proposed algorithm can well resolve the identification issue of the cadmium in the X-ray spectra and significantly improve the content measurement accuracy of cadmium in the quality evaluation experiment of rice products.
    • Dataset
1