Speaker
Description
The Large Hadron Collider (LHC) Run 3 started in 2022. It was preceded by an extensive upgrade period. Among the notable enhancements to the ALICE experiment is the new Fast Interaction Trigger (FIT) detector. FIT is a crucial sub-detector generating fast triggers, providing online luminosity, initial vertex position, and forward multiplicity. A shift crew continuously monitors ALICE Run 3 operation and data monitoring. In case of problems, the crew contacts the relevant on-call experts, including FIT experts. To reduce the workload of the actual detector experts, the majority of the 24/7 on-call shifts must be delegated, after adequate training, to other group members. However, training new FIT on-call experts during the running of ALICE is cumbersome and time-consuming, as it interferes with data collection. Consequently, hands-on training can only be conducted during beam-off periods or when a technical intervention is ongoing. Such moments are scarce during the regular LHC operation. To solve this problem, we have assembled a training station enabling trainees to explore and test the system's capabilities. This coaching station significantly reduces the training period and enhances the trainee's confidence in their actions. We hope this work will inspire the creation of comparable training systems for other sub-detectors.
Details
Krystian Roslon, Mr. Warsaw University of Technology, Poland, https://www.pw.edu.pl/
| Internet talk | Yes |
|---|---|
| Is this an abstract from experimental collaboration? | Yes |
| Name of experiment and experimental site | ALICE collaboration |
| Is the speaker for that presentation defined? | Yes |
