Monte Carlo simulation using the PENELOPE code with an ant colony algorithm to study MOSFET detectors
In this work we have developed a simulation tool, based on the PENELOPE code, to study the response of MOSFET devices to irradiation with high-energy photons. The energy deposited in the extremely thin silicon dioxide layer has been calculated. To reduce the statistical uncertainties, an ant colony...
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Veröffentlicht in: | Physics in medicine & biology 2009-10, Vol.54 (20), p.6263-6276 |
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container_title | Physics in medicine & biology |
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creator | Carvajal, M A García-Pareja, S Guirado, D Vilches, M Anguiano, M Palma, A J Lallena, A M |
description | In this work we have developed a simulation tool, based on the PENELOPE code, to study the response of MOSFET devices to irradiation with high-energy photons. The energy deposited in the extremely thin silicon dioxide layer has been calculated. To reduce the statistical uncertainties, an ant colony algorithm has been implemented to drive the application of splitting and Russian roulette as variance reduction techniques. In this way, the uncertainty has been reduced by a factor of approximately 5, while the efficiency is increased by a factor of above 20. As an application, we have studied the dependence of the response of the pMOS transistor 3N163, used as a dosimeter, with the incidence angle of the radiation for three common photons sources used in radiotherapy: a (60)Co Theratron-780 and the 6 and 18 MV beams produced by a Mevatron KDS LINAC. Experimental and simulated results have been obtained for gantry angles of 0 degrees, 15 degrees, 30 degrees, 45 degrees, 60 degrees and 75 degrees. The agreement obtained has permitted validation of the simulation tool. We have studied how to reduce the angular dependence of the MOSFET response by using an additional encapsulation made of brass in the case of the two LINAC qualities considered. |
doi_str_mv | 10.1088/0031-9155/54/20/015 |
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The energy deposited in the extremely thin silicon dioxide layer has been calculated. To reduce the statistical uncertainties, an ant colony algorithm has been implemented to drive the application of splitting and Russian roulette as variance reduction techniques. In this way, the uncertainty has been reduced by a factor of approximately 5, while the efficiency is increased by a factor of above 20. As an application, we have studied the dependence of the response of the pMOS transistor 3N163, used as a dosimeter, with the incidence angle of the radiation for three common photons sources used in radiotherapy: a (60)Co Theratron-780 and the 6 and 18 MV beams produced by a Mevatron KDS LINAC. Experimental and simulated results have been obtained for gantry angles of 0 degrees, 15 degrees, 30 degrees, 45 degrees, 60 degrees and 75 degrees. The agreement obtained has permitted validation of the simulation tool. We have studied how to reduce the angular dependence of the MOSFET response by using an additional encapsulation made of brass in the case of the two LINAC qualities considered.</description><subject>Algorithms</subject><subject>Animals</subject><subject>Ants</subject><subject>Behavior, Animal</subject><subject>Cobalt Radioisotopes</subject><subject>Computer Simulation</subject><subject>Electrons</subject><subject>Equipment Design</subject><subject>Humans</subject><subject>Monte Carlo Method</subject><subject>Photons</subject><subject>Radiometry - methods</subject><subject>Radiotherapy - methods</subject><subject>Radiotherapy Dosage</subject><subject>Silicon Dioxide - chemistry</subject><subject>Software</subject><issn>0031-9155</issn><issn>1361-6560</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNkFFr2zAUhcVoWdNsv2BQ9FYYONG1JFt-HCFdC2kT6PYsFOm69bCtzJIp-fdTmrA9dA8FgeDc75yHj5AvwGbAlJozxiGrQMq5FPOczRnID2QCvICskAU7I5O_xAW5DOEXYwAqFx_JBVRlJXJRTgje-z4iXZih9TQ03dia2PiejqHpn2h8RrpZPixX682SWu-QvjTxmZo-vZiC1vd7atonP6S4ozFNxNHt6f368Wb5gzqMaKMfwidyXps24OfTPyU_031xm63W3-8W31aZ5aWKmSttARa3oCpX1QwlgFAlbq2qFeNGVUXlJDrkeUqBcV5XeeoYxwV3Ai2fkuvj7m7wv0cMUXdNsNi2pkc_Bl1ywcoCQCaSH0k7-BAGrPVuaDoz7DUwfdCrD_L0QZ6WQudMs9fW1Wl_3Hbo_nVOPhMwOwKN371z8evbwn9AvXM1_wOl6I_t</recordid><startdate>20091021</startdate><enddate>20091021</enddate><creator>Carvajal, M A</creator><creator>García-Pareja, S</creator><creator>Guirado, D</creator><creator>Vilches, M</creator><creator>Anguiano, M</creator><creator>Palma, A J</creator><creator>Lallena, A M</creator><general>IOP Publishing</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20091021</creationdate><title>Monte Carlo simulation using the PENELOPE code with an ant colony algorithm to study MOSFET detectors</title><author>Carvajal, M A ; García-Pareja, S ; Guirado, D ; Vilches, M ; Anguiano, M ; Palma, A J ; Lallena, A M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c378t-d7c61ceb189d9f0e511487ebc8f803a8969d5ede3287e1033f92d7cad343d4ec3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Algorithms</topic><topic>Animals</topic><topic>Ants</topic><topic>Behavior, Animal</topic><topic>Cobalt Radioisotopes</topic><topic>Computer Simulation</topic><topic>Electrons</topic><topic>Equipment Design</topic><topic>Humans</topic><topic>Monte Carlo Method</topic><topic>Photons</topic><topic>Radiometry - methods</topic><topic>Radiotherapy - methods</topic><topic>Radiotherapy Dosage</topic><topic>Silicon Dioxide - chemistry</topic><topic>Software</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Carvajal, M A</creatorcontrib><creatorcontrib>García-Pareja, S</creatorcontrib><creatorcontrib>Guirado, D</creatorcontrib><creatorcontrib>Vilches, M</creatorcontrib><creatorcontrib>Anguiano, M</creatorcontrib><creatorcontrib>Palma, A J</creatorcontrib><creatorcontrib>Lallena, A M</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Physics in medicine & biology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Carvajal, M A</au><au>García-Pareja, S</au><au>Guirado, D</au><au>Vilches, M</au><au>Anguiano, M</au><au>Palma, A J</au><au>Lallena, A M</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Monte Carlo simulation using the PENELOPE code with an ant colony algorithm to study MOSFET detectors</atitle><jtitle>Physics in medicine & biology</jtitle><addtitle>Phys Med Biol</addtitle><date>2009-10-21</date><risdate>2009</risdate><volume>54</volume><issue>20</issue><spage>6263</spage><epage>6276</epage><pages>6263-6276</pages><issn>0031-9155</issn><eissn>1361-6560</eissn><abstract>In this work we have developed a simulation tool, based on the PENELOPE code, to study the response of MOSFET devices to irradiation with high-energy photons. The energy deposited in the extremely thin silicon dioxide layer has been calculated. To reduce the statistical uncertainties, an ant colony algorithm has been implemented to drive the application of splitting and Russian roulette as variance reduction techniques. In this way, the uncertainty has been reduced by a factor of approximately 5, while the efficiency is increased by a factor of above 20. As an application, we have studied the dependence of the response of the pMOS transistor 3N163, used as a dosimeter, with the incidence angle of the radiation for three common photons sources used in radiotherapy: a (60)Co Theratron-780 and the 6 and 18 MV beams produced by a Mevatron KDS LINAC. Experimental and simulated results have been obtained for gantry angles of 0 degrees, 15 degrees, 30 degrees, 45 degrees, 60 degrees and 75 degrees. The agreement obtained has permitted validation of the simulation tool. We have studied how to reduce the angular dependence of the MOSFET response by using an additional encapsulation made of brass in the case of the two LINAC qualities considered.</abstract><cop>England</cop><pub>IOP Publishing</pub><pmid>19794247</pmid><doi>10.1088/0031-9155/54/20/015</doi><tpages>14</tpages></addata></record> |
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subjects | Algorithms Animals Ants Behavior, Animal Cobalt Radioisotopes Computer Simulation Electrons Equipment Design Humans Monte Carlo Method Photons Radiometry - methods Radiotherapy - methods Radiotherapy Dosage Silicon Dioxide - chemistry Software |
title | Monte Carlo simulation using the PENELOPE code with an ant colony algorithm to study MOSFET detectors |
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