Orateur
Description
The JUNO experiment is a 20 kton liquid scintillator detector, designed primarily to determine the neutrino mass ordering within the next few years. Its large size also makes it well suited to detect neutrinos from the next galactic core-collapse supernova (CCSN). Such an event would be a unique opportunity to understand the mechanisms behind CCSNe, which are not yet fully understood. The only time neutrinos from a CCSN have been detected was in 1987, when SN1987A exploded in the Large Magellanic Cloud: only 24 neutrinos were recorded, by three experiments, Kamiokande-II, IMB and Baksan. Despite this low number of events, the detection was a major discovery, but it was not enough to discriminate between explosion mechanism models. For a CCSN at 10 kpc, JUNO expects more than 5000 events, about 200 times more than for SN1987A, without counting the contributions of other experiments. In this context, it is essential to prepare for this moment by tuning the event selection with Monte Carlo simulations and by calibrating JUNO’s different subsystems. My thesis focuses mainly on the time and energy calibration of the Small-PMT system (SPMT) using different calibration sources, and on event selection during a nearby CCSN, taking into account effects such as event pile-up and afterpulses.