The open archive for STFC research publications

Full Record Details

Persistent URL http://purl.org/net/epubs/work/39598142
Record Status Checked
Record Id 39598142
Title Accelerator Optimization through LIV. DAT
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
Funding Information
Related Research Object(s):
Licence Information:
Language English (EN)
Type Details URI(s) Local file(s) 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