Speaker
Description
The Xboinc Python package extends the LHC@Home volunteer computing project by integrating the Xsuite simulation toolkit within the BOINC platform. Designed to be the successor to SixTrack's BOINC implementation, the Xboinc framework enables large-scale single-particle tracking based on the novel simulation package Xsuite. Using the computational power of global volunteer computing, Xboinc on LHC@Home provides scalable resources for advanced accelerator physics simulations, such as dynamic aperture studies. The previous functionalities were extended, notably by enabling collimation performance and loss map simulations thanks to the new Xcoll implementation in Xsuite. The synergy between distributed computing and public engagement ensures the continuity of volunteer contributions to particle accelerator research and paves the way for present and future large-scale simulation campaigns.
Funding Agency
This work was carried out under the auspices and with the support of the Swiss Accelerator Research and Technology programme (CHART) and the Swiss Data Science Centre project grant C20-10.
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