Speaker
Luca Castelli
Description
Muon collisions are considered a promising mean for exploring the energy frontier, leading to a detailed study of the possible feasibility issues. Beam intensities of the order of $10^{12}$ muons per bunch are needed to achieve the necessary luminosity, generating a high flux of secondary and tertiary particles that reach both the machine elements and the detector region. To limit the impact of this background on the physics performance tungsten shieldings are being studying. A machine learning-based approach to the geometry optimization of these shieldings will be discussed.
Authors
Daniele Calzolari
(Universita e INFN, Padova (IT))
Donatella Lucchesi
(Universita e INFN, Padova (IT))
Dr
Francesco Collamati
(INFN Roma I (IT))
Luca Castelli
