Benchmarking computations using the Monte Carlo code RITRACKS with data from a tissue equivalent proportional counter
| dc.contributor.author | Brogan, John, author | |
| dc.contributor.author | Borak, Thomas B., advisor | |
| dc.contributor.author | Johnson, Thomas E., committee member | |
| dc.contributor.author | Page, Rodney, committee member | |
| dc.date.accessioned | 2016-01-11T15:13:42Z | |
| dc.date.available | 2016-01-11T15:13:42Z | |
| dc.date.issued | 2015 | |
| dc.description.abstract | Understanding the dosimetry for high-energy, heavy ions (HZE), especially within living systems, is complex and requires the use of both experimental and computational methods. Tissue-equivalent proportional counters (TEPCs) have been used experimentally to measure energy deposition in volumes similar in dimension to a mammalian cell. As these experiments begin to include a wider range of ions and energies, considerations to cost, time, and radiation protection are necessary and may limit the extent of these studies. Multiple Monte Carlo computational codes have been created to remediate this problem and serve as a mode of verification for pervious experimental methods. One such code, Relativistic-Ion Tracks (RITRACKS), is currently being developed at the NASA Johnson Space center. RITRACKS was designed to describe patterns of ionizations responsible for DNA damage on the molecular scale (nanometers). This study extends RITRACKS version 3.07 into the microdosimetric scale (microns), and compares computational results to previous experimental TEPC data. Energy deposition measurements for 1000 MeV nucleon-1 Fe ions in a 1 micron spherical target were compared. Different settings within RITRACKS were tested to verify their effects on dose to a target and the resulting energy deposition frequency distribution. The results were then compared to the TEPC data. | |
| dc.format.medium | born digital | |
| dc.format.medium | masters theses | |
| dc.identifier | Brogan_colostate_0053N_13286.pdf | |
| dc.identifier.uri | http://hdl.handle.net/10217/170316 | |
| dc.language | English | |
| dc.language.iso | eng | |
| dc.publisher | Colorado State University. Libraries | |
| dc.relation.ispartof | 2000-2019 | |
| dc.rights | Copyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright. | |
| dc.title | Benchmarking computations using the Monte Carlo code RITRACKS with data from a tissue equivalent proportional counter | |
| dc.type | Text | |
| dcterms.rights.dpla | This Item is protected by copyright and/or related rights (https://rightsstatements.org/vocab/InC/1.0/). You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s). | |
| thesis.degree.discipline | Environmental and Radiological Health Sciences | |
| thesis.degree.grantor | Colorado State University | |
| thesis.degree.level | Masters | |
| thesis.degree.name | Master of Science (M.S.) |
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