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Record W7011732930

A new approach to neutron spectrometry with multi-element scintillators

2014· dissertation· en· W7011732930 on OpenAlexaboutno aff

Bibliographic record

Venuee-scholar@UOIT (University of Ontario Institute of Technology) · 2014
Typedissertation
Languageen
FieldEngineering
TopicPhysics and Engineering Research Articles
Canadian institutionsnot available
Fundersnot available
KeywordsDosimetryNeutronRadiation protectionNuclear powerIonizing radiationNeutron detectionScintillatorRadiation monitoringRadiation
DOInot available

Abstract

fetched live from OpenAlex

The combined effects of the nuclear industrial renaissance, the events of 9/11, and the Fukushima disaster have had a significant impact on the research and development of radiation detection instrumentation. Notably, there is ample worldwide scientific research effort into a better understanding of the material properties and nuclear interactions with a view to support the improvement of radiation detection and measurement. These improvements are spurred by the heightened security requirements that entail the monitoring of contraband material including explosives in transit, and the need to enhance occupational safety as well as environmental radiation protection in respect to nuclear power generation. Moreover, the regulatory authorities require routinely employed radiation detection and measuring devices in nuclear installations to meet the revised standard specifications in terms of their design and performance.\nCurrently, there is no neutron dosimeter/spectrometer that can meet the requirements in terms of size and performance. In particular, the requirements for high sensitivity, spectroscopic features, and determination of operational quantities to enable radiation protection decision making have resulted in a closer examination of the basic physics of the radiation interactions in detector materials.\nNeutron dosimetry is regarded as the last frontier in radiation protection. Due to the large span of neutron energy and the strong energy dependence of the dose to fluence coefficient, neutron dosimetry requires the knowledge of the neutron spectra for any accurate neutron dose quantification. As a result, spectrometry is a precursor to determine dosimetry quantities and spectrometers are therefore vital to determine and characterize radiation fields present to individuals as they provide information about the radiation intensity and energy spectra. However, current spectrometers have many drawbacks and limitations in different aspects. From one side, fast spectrometry currently uses the scattering process on hydrogen rich materials and uses complicated unfolding techniques to extract the energy spectra. From another side, neutron fields are inherently mixed with a gamma component and therefore, it is paramount to distinguish each component since their contribution to the dose equivalent is weighted differently. More specifically, the challenge becomes more profound with neutrons in the energy range between 10 keV and few MeV. These challenges are mainly due to:\n??? The drastic change in the dose-to-fluence conversion coefficient that increases by a factor of 40;\n??? The low sensitivity of the neutron sensors used in neutron spectroscopy (low cross section);\n??? The poor resolution of the detectors, which makes accurate neutron spectrometry difficult to achieve.\nHowever, by exploiting new developments and high sensitivity scintillators, in this thesis, a new approach has been adopted using different nuclear reaction processes with different contents of scintillating material. More specifically, two nuclear reactions, i.e. (n,??) and (n,p), on two different elements have been used to carry out neutron spectrometry.\nIn addition, this thesis aims to investigate the spectrometric properties of scintillating materials as a first step to establish a platform for developing a neutron spectrometer/dosimeter.\nIn terms of methodology, the thesis has taken an empirical approach in studying potential sensors that can be used for neutron spectrometry. Four scintillators have been explored and studied. Each scintillator corresponds to a particular energy region. The first part of the thesis consists of extensive Monte Carlo calculations to optimize the sensor???s isotope contents, while the second part consists of conducting a series of experiments using three main facilities, namely an AmBe source of 120 mCi, a neutron generator of 2.5 MeV neutrons at the University of Ontario Institute of Technology, a KN Van De Graaff accelerator at McMaster University, and gamma ray sources with different energies. All sensors have been used in conjunction with a miniature data acquisition system that consists of a multi-channel analyzer, mounted on a photomultiplier, and controlled by software to operate, control and analyze the output data. The time characteristics of the output pulse, such as integration time and rising time, have been optimized for each sensor.\nThe thesis presents a thorough literature review, a comprehensive methodology of the study, a description of the used facilities and the results of the simulation data with four different sensors along with the experimental work carried out at the aforementioned facilities. The response functions of each scintillator to a given radiation type and energy has been analyzed and discussed. Furthermore, the sensor???s potential for use in neutron spectrometry/dosimetry has been assessed for future work.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.931
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.009
GPT teacher head0.195
Teacher spread0.186 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2014
Admission routes1
Has abstractyes

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