With climate change being a growing concern, CERN is committed to reduce its direct greenhouse gas (GHG) emissions. In this contest, the CERN EP-DT Gas Team has developed several strategies to reduce GHG emissions for particle detectors. As Resistive Plate Chambers (RPCs) are the main contributors to CERN GHG emissions caused by particle detectors, a lot of effort is being put in place by the RPC community, experiments and CERN to repair leaks, develop a R134a recuperation system and to search for alternative gases.
In particular, the CERN Gas Team is working on the development of a R134a recuperation system and the search of eco-friendly gases. A set-up has been implemented at GIF++ to study performance of RPCs in the presence of LHC-like background radiation with eco-friendly gas mixture. Being a long term-test, monitoring and data analysis tools are fundamental.
The summer student project was focused on developing monitoring and data analysis tools for both LHC gas systems and RPC radiation tests at GIF++. For the monitoring tools, web apps were implemented in python with the framework Dash by Plotly, hosted on the CERN OpenShift platform. For the data analysis, to help understanding data from RPC detectors, a web app was designed to analyze, load, visualize and save runs taken from RPCs. Finally, a draft implementation of a job queue on the openshift cluster was designed and tested.