0000000000799733
AUTHOR
Marco Villa
Fast simulation of muons produced at the SHiP experiment using Generative Adversarial Networks
This paper presents a fast approach to simulating muons produced in interactions of the SPS proton beams with the target of the SHiP experiment. The SHiP experiment will be able to search for new long-lived particles produced in a 400~GeV$/c$ SPS proton beam dump and which travel distances between fifty metres and tens of kilometers. The SHiP detector needs to operate under ultra-low background conditions and requires large simulated samples of muon induced background processes. Through the use of Generative Adversarial Networks it is possible to emulate the simulation of the interaction of 400~GeV$/c$ proton beams with the SHiP target, an otherwise computationally intensive process. For th…
Italian cancer figures, report 2013: Multiple tumours
This collaborative study, based on data collected by the network of Italian association of cancer registries (AIRTUM), provides updated estimates on the incidence risk of multiple primary cancer (MP). The objective is to highlight and quantify the bidirectional associations between different oncological diseases. The quantification of the excess or decreased risk of further cancers in cancer patients, in comparison with the general population, may contribute to understand the aetiology of cancer and to address clinical follow-up.Data herein presented were provided by AIRTUM population-based cancer registries, which cover nowadays 48% of the Italian population. This monograph utilizes the AI…