Optimization Of Radiation Spectroscopy Equipment For Airborne Radionuclides

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University of Portsmouth Applied Physics BSc (Hons) U20283 Applied Physics Project OPTIMIZATION OF RADIATION SPECTROSCOPY EQUIPMENT FOR AIRBORNE RADIONUCLIDES 645137 Supervisor(s) DSTL - Laurence Jones University of Portsmouth - Dr. Chris Dewdney PROPOSAL & INITIAL LITERATURE REVIEW Introduction, Aims and Objectives Defence Science Technology Laboratory (DSTL) is investigating the potential for aerial monitoring of gamma rays (ɣ-rays) from airborne particulate contamination. They are in possession of two ⌀20cmx20cm cylindrical, thallium doped sodium iodide (NaI(Ti)) scintillator detectors for mounting onboard an aircraft for the recording of count rate and collection of spectroscopic data. Initially, surveying will…show more content…
The aim of this project is: • To evaluate different ways of aerially measuring the count rate and collecting spectroscopic data of ~2 MeV emissions from airborne radioactive particulate contamination. The objectives that will be met in order to achieve the aims are as follows: • A comprehensive literature review will be carried out in order to investigate methods of shielding and or discriminating against cosmic radiation that are currently used in this field or methods used in other fields (particle physics, spacecraft design etc.) that could be adapted to this purpose. • A selection process of four ɣ-ray reduction methods, two muon reduction methods and two neutron reduction methods will take place (these numbers are arbitrary but have been chosen due to the time constraints of the project). • These eight methods will be modeled using Monte Carlo (MC) simulations to estimate there sensitivity and resulting background in order to determine their MDA’s. • A subset of the most promising modeled methods will be tested experimentally in the lab to confirm the validity of the models. • A conclusion will be drawn as to the best method(s), via the development and use of a weighted comparison factor. Rationale Existing methodologies of back ground reduction such as shielding (F.A. Danevich et al., 2007), large coincidence counting methods or the burying of the detector underground (E.W. Hoppe et al., 2014), each present their own difficulties and limitations in the
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