Description
In designing and operating accelerators and detectors numerous challenges have to be overcome, many of which require the application of a particle transport and interaction Monte-Carlo code in various stages. Related issues refer to important safety or machine protection concerns, the conception and optimization of machine and detector performance, up to the final validation of experimental data. For these purposes, the evaluation of key physical quantities such as energy deposition in the irradiated components, dose released in the sensitive elements, material and environmental activation, and fluence of particles at different locations, represents an essential ingredient.
The quality of the code turns out to be critical for the achievement of the established goals when performing Monte-Carlo calculations (such as by FLUKA) for accelerator applications. This requires an accurate development and benchmarking of the underlying independent physics models, and their balanced and effective interplay. Only both constant code development and benchmarking allow for an increasingly reliable and precise picture of the radiation-matter interaction and related processes. A careful and continuous analysis of the Monte-Carlo code in conditions comparable to the actual measurements finally helps not only to quantify uncertainties, but also to reach further improvements.
In this seminar, the capabilities of the FLUKA Monte-Carlo code with respect to the tasks outlined above are discussed and put in context of the respective accelerator based activities as well as the embedded physical processes. Different applications are illustrated, mainly concerning CERN projects (e.g., LHC, CNGS, LINAC-4, and n_TOF) and benchmark measurements (e.g., CERF), but also other closely connected fields (e.g., Hadron-Therapy). The crucial relationship between the actual application, the related quantities, the required physical models and their accuracy, forms the centre-line of this seminar, with all aspects aiming to solve the original problem. The importance of continuous code development and detailed benchmarking is underlined in order to address not only present, but also future accelerator challenges.
Organised by
Stefano Sgobba (EN-MME)