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http://purl.org/net/epubs/work/39598142
Record Status
Checked
Record Id
39598142
Title
Accelerator Optimization through LIV. DAT
Contributors
Prof CP Welsch (Cockcroft Inst., and Liverpool Univ.)
Abstract
The Liverpool Big Data Science (LIV. DAT) Center for Doctoral Training (CDT) is a hub for training students in managing, analysing and interpreting large, complex datasets and high rates of data flow. LIV. DAT offers a unique training approach addressing some of the biggest challenges in data intensive science to tackle a growing skills gap. It currently provides training to a cohort of almost 20 PhD students. Their research projects address R&D challenges in astronomy, nuclear, particle and accelerator physics. This contributions presents initial research results from modeling studies of the physics and biology of proton beam therapy using a Monte Carlo approach, as well as plasma-beam interaction in the cases of AWAKE and EuPRAXIA.
Organisation
CI
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Language
English (EN)
Type
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Year
Conference Proceedings
9th International Particle Accelerator Conference (IPAC 18), Vancouver, Canada, 29 Apr 2018 - 4 May 2018. JACow, 2018
doi:10.18429/JACoW-IPAC2018-THPAK121
2018
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