Speaker
Description
The High Granularity Calorimeter (HGCAL) is a sampling calorimeter that will replace the electromagnetic and hadronic calorimeters in the forward section of CMS during the high-luminosity phase of the LHC. It is designed to investigate physics processes, particularly those associated with vector boson fusion and Lorentz-boosted topologies. Approximately 6 million silicon sensors will be arranged in a way that would cover regions with higher radiation doses (greater than 3 kGy) and areas with relatively lower radiation, which will be covered by about 240 thousand plastic scintillators with silicon photomultiplier readout. The high volume of data generated from numerous readout channels, combined with approximately 200 pileup collisions occurring at a rate of 40 MHz, presents a major challenge to the back-end (BE) readout system. Thus, the development and validation of trigger primitive generation (TPG) algorithms using sensor data is a critical step to ensure the retention of true signal events in this high-radiation environment. The BE algorithms are structured as a two-tier system. The first tier, or Stage 1, organizes data from the front-end (FE) links, followed by Stage 2 algorithms that calculate cluster properties and the energies of the showers. We are currently engaged in extensive validation of the BE algorithms and the TPG path of the FE application-specific integrated circuits using data collected from detector hardware and associated firmware. A review of the BE and FE algorithms, including emulations and their hardware/firmware validations through test beam and standalone runs, will be presented in this talk.
| Position | Research Associate |
|---|---|
| Affiliation | Imperial College, London |
| Country | UK |