Presentation materials
Detector simulation and particle reconstruction consumes a significant amount of processing time for high-complex particle collisions, such that performed at the Large Hadron Collider. In general, the time per event in Geant4-based simulations with CPU can be highly improved with an approach based on machine learning framework. In this work we employ CaloGAN, a tool comprised of a generative...
"Prospects for measurements of axion-like particles (ALPs) produced via photon-photon fusion in e+e- collisions at the ILC will be presented. Exclusion limits can be reached in various regions of ALP mass versus ALP-photon coupling. ILC beams and detector considerations needed to achieve such results could be also discussed, as well as available MC generators allowing polarized beams. Plans...
