Speaker
Description
The CMS experiment will upgrade its detectors to cope with higher luminosities and collision rates during the High-Luminosity era of the LHC. One key upgrade of the CMS is the High Granularity Calorimeter (HGCAL), which will completely replace the current end-cap calorimeter. The hadronic calorimeter is split into two sections using different technologies, depending on the expected amount of radiation damage at the end of its life. Where the expected fluence is below 5×10^13 neq /cm2, the SiPM-on-Tile technology was chosen. It consists of small scintillator tiles read out by silicon photo-multipliers on a PCB, named ”Tilemodule”. A Tilemodule will house 1 or 2 readout ASICs, each able to read out 72 channels. The detector is to be installed and operated at -35°C with limited accessibility. Hence, the modules need to be thoroughly tested to ensure the performance of the detector. To test and qualify the 4000 Tilemodules required to build the detector, as well as to assess the functionality of the ASICs and extract parameters of interest for tuning the ASICs, a robust, modular, and highly automated quality control procedure has been developed.
We developed a python framework that runs a sequence of steps to configure the chip, take data, analyze, and update the chip configuration, allowing us to derive the optimal values for the 300+ parameters of the chip. Checks to ensure the quality of both the data and analysis are automatically performed during each step and reported at the end of the procedure to qualify the board. The framework’s flexibility allows for easy addition or removal of data taking or analysis steps in the sequence. During the procedure, one also needs to communicate with external power supplies and connect to an external climate chamber for cooling tests which have also been automated through the framework. The same framework is operated at the successive test stations to enable easy data taking and configuration sharing. To keep track of the tests already undergone and still to be done for each Tilemodule, a tracking tool with an API and a web interface for human operators was additionally setup. This contribution aims to showcase this framework.