Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 19 of 19 for “"gamma-ray spectra"”.
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Doppler-Broadening of Light Nuclei Gamma-Ray Spectra
… causing a de-excitation process emitting a gamma-ray. The spectrum displayed by the collection of these gamma-rays gives valuable information regarding the material’s elemental make-up. It has been hypothesized that gamma-rays from neutron-induced gamma-ray reactions on light elements with …
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Methodology for anomalous source detection in sparse gamma-ray spectra
The student, Gregory Romanchek, accepted the attached license on 2020-07-23 at 18:42.
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Investigation of elemental analysis using neutron-capture gamma ray spectra.
Massachusetts Institute of Technology. Dept. of Nuclear Engineering. Thesis. 1969. Ph.D.
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Automated wavelet analysis of low resolution gamma-ray spectra and peak area uncertainty
… isotope identification from low resolution gamma-ray spectra can be significantly improved with better algorithms. The method based on the wavelet transform and non-negative least squares (NNLS) are discussed in this thesis. Several improvements are made for the wavelet algorithm itself and …
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Evaluation of exposure doses resulting from scintilliation and ionization detector measurements of complex gamma-ray spectra
Call number: LD2668 .T4 1969 U72
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Automated isotope identification algorithm using artificial neural networks
… a mixture of many isotopes in a low-resolution gamma-ray spectrum. While techniques for this task exist, they require a human operator and are too slow to use on very large datasets of spectra. Pattern recognition algorithms such as neural networks are prime candidates for automated isotope …
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Application of Library Least-Squares Analysis to Human Whole-Body Counter Spectra Derived From Low Level Gamma Emissions
… least-square analysis (LLSA) has been applied to gamma ray spectra obtained from the Grand Forks Human Nutrition Research Center whole body counter. The validity of the method was tested under various conditions. Mathematical formulation of the method is presented along with a detailed description …
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Automated isotope identification and quantification using artificial neural networks
… identify and quantify isotopes in low-resolution gamma-ray spectra in a wide range of realistic conditions. Trained gamma-ray spectroscopists typically rely on intuition when identifying isotopes in spectra. A trained gamma-ray spectroscopist can inject their intuition into pattern recognition …
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Photopeak detection and quantification using wavelet analysis
… This process is di cult for low-resolution spectra because of the presence of the Compton contin- uum, electronics noise, and peak overlap. The wavelet transform stands out among many potential solutions of this problem, owing to its ability to de-noise noisy signals, pattern matching, and …
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Neutron activation analysis of plantinum converter and furnace mattes using a D-T sealed tube neutron generator
… featuring a 14 MeV neutron generator. Gamma-ray spectra were measured using an HPGe detector. A number of isotopes were identified in the measured spectra and the elemental concentrations calculated. Radiometric spectral measurements were also made of the samples, without prior …
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Automated isotope identification algorithms for low-resolution gamma spectrometers
… method is demonstrated on a broad variety of gamma-ray spectra, ranging from small calibration sources ($<$ 1 $\mu$Ci) to Category I quantities of special nuclear material. This algorithm is also benchmarked against the ANSI N42.34-2006 Standard for Handheld Identifiers as a part of the …
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Gamma ray production cross sections of proton bombardment of fluorine for light element analysis and depth profiling
… diagnostic technique utilizes particle induced gamma emission (PIGE) analysis to diagnose the conditions of PFCs. Gamma production differential cross section data is essential to PIGE because it provides a way predict and interpret data. Fluorine may be a candidate for this technique because it …
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Applications of machine learning in nuclear imaging and radiation detection
… machine learning models is presented for gamma spectroscopy at a wide variety of testing conditions. Moreover, Hybrid Neural Network (HNN) was developed specifically for gamma-ray spectra data. Three different methods for feature extraction were tested as well. Experiments on MCNP …
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An evaluation of the natural radioactivity in the soils of Okahandja and Karibib, Namibia
… of Karibib and Okahandja have been studied by gamma spectroscopy. Each town was divided into ten geographical areas and five soil samples were collected across each area. These samples were processed and placed in well-labelled 500 ml plastic bottles. A High Purity Germanium detector (HPGe) was …
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Gamma-ray emission from Galactic millisecond pulsars: Implications for dark matter indirect detection
The Fermi Large Area Telescope has observed a gamma-ray excess toward the center of the Galaxy at ~ GeV energies. The spectrum and intensity of the excess are consistent with the annihilation of dark matter with a mass of ~100 GeV and a velocity-averaged cross section of ~ 1e-26 cubic centimeter …
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Radionuclide concentrations and radiation hazard assessment in the soil of Otjiwarongo, Namibia
… of Otjiwarongo, Namibia, have been studied by gamma ray spectroscopy. The town was divided into ten geographical areas and five soil samples were collected across each area. The samples were dried, homogenized and 500 g of each sample was placed in a clearly-labelled 500 mL polythene bottle and …
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A Comparison of Dosimeter Response to Gamma Spectra at Clinton Power Station
Made available in DSpace on 2017-07-06T18:59:29Z (GMT). No. of bitstreams: 3 Withrow_John_F_MS.pdf: 57583936 bytes, checksum: f776e65e20019309ad3cd94120e6590f (MD5) Withrow_John_F_MS_ABS.pdf: 676263 bytes, checksum: 76546f11c79e855ced48fc6700a01f30 (MD5) license.txt: 4813 bytes, checksum: …