Anastasia Bolshakova "Monitoring and quality control of data in the JUNO experiment"
The work on monitoring and quality control of data at JUNO consists of two parts: the first is to determine the technical characteristics of photomultipliers during their operation (dark noise counting rate, voltage, photomultiplier occupancy, time synchronization) and clarify the criteria for their selection; the second is to validate the physical experimental data.
In 2025-2026, a monitoring system for session validation with a graphical web interface, as well as a channel quality control system, was developed for the JUNO experiment. The latter is designed to monitor the status of detector channels (photomultipliers) for each session of the dataset, identify problems, clarify selection criteria, and store information about the status of channels throughout the experiment.
(In connection with the election to fill the position of a senior researcher)
Link to watch the video on the JINR resource:
https://disk.jinr.ru/index.php/s/pNgoet6f532Dctd
Link to watch the video on VK:
https://vkvideo.ru/video-179241683_456239872




