Conveners
Oral presentations DAQ02
- Denis Calvet (Université Paris-Saclay (FR))
Reinforcement learning algorithms have demonstrated a remarkable performance in the area of fast feedback controls applications. At KIT (Karlsruhe Institute of Technology) storage ring KARA (Karlsruhe Research Accelerator) a fast and adaptive longitudinal feedback system based on reinforcement learning is considered to stabilize the longitudinal complex dynamics of the electron beam. In order...
The Jiangmen Underground Neutrino observatory (JUNO) is a neutrino medium baseline experiment in construction in China, with the main goal to determine the neutrino mass hierarchy. A large liquid scintillator (LS) volume will detect the antineutrinos issued from nuclear reactors. The LS detector is instrumented by around 20000 large photomultiplier tubes. The JUNO electronics readout system...
The ALICE (A Large Ion Collider Experiment) experiment focuses on the study of the quark-gluon plasma as a product of heavy-ion collisions at the CERN LHC (Large Hadron Collider). During the Long Shutdown 2 of the LHC in 2019-2020, a major upgrade is underway in order to cope with a hundredfold input data rate increase with peaks of up to 3.4 TB/s. This upgrade includes the new...
On-detector digital electronics in High-Energy Physics experiments is increasingly being implemented by means of SRAM-based FPGA, due to their capabilities of reconfiguration, real-time processing and multi-gigabit data transfer. Radiation-induced single event upsets in the configuration hinder the correct operation, since they may alter the programmed routing paths and logic functions. In...
The MEG II experiment at Paul Scherrer Institut aims at a sensitivity improvement on $\mu\rightarrow e\gamma$ decay by an order of magnitude with respect to the former MEG experiment while keeping the same detection strategy. This is possible thanks to an higher segmentation of all detectors, which improves the resolutions and helps coping with twice muon stopping rate, mandatory to collect...
