| Article | |
| Title | A New Algorithm for Positron Source Parameter Optimisation |
| Author(s) | Zhao, Yongke (Shandong U. ; CERN) ; Döbert, Steffen (CERN) ; Latina, Andrea (CERN) ; Ma, Lianliang (Shandong U.) |
| Publication | 2021 |
| Number of pages | 4 |
| In: | 12th International Particle Accelerator Conference (IPAC 2021), Online, 24 - 28 May 2021, pp.WEPAB013 |
| DOI | 10.18429/JACoW-IPAC2021-WEPAB013 |
| Subject category | Accelerators and Storage Rings |
| Abstract | In this report, we proposed a new simple and efficient algorithm for positron source parameter optimisation, which is based on iterations of scan of free parameters in the simulation. The new algorithm is fast, simple and convincing since the results can be visually drawn and flexibly tuned and it has an advantage that it can easily handle realistic parametric problems with more than one objective quantities to optimise. The optimisation of the main parameters of the CLIC positron source at the 380 GeV stage is presented as an example to demonstrate how the algorithm works. |
| Copyright/License | publication: (License: CC-BY-3.0) |
Corresponding record in: Inspire
Záznam vytvorený 2021-10-12, zmenený 2021-10-12
