Speaker
Description
AC-LGAD (AC coupled Low-Gain Avalanche Detector) sensors have emerged as a highly promising technology for precision particle detection in collider experiments. These sensors offer exceptional capabilities, delivering remarkable time and spatial resolutions on the order of tens of micrometers and picoseconds, all while achieving a 100% fill factor. We present results obtained with AC-LGAD sensors developed by Brookhaven National Laboratory (BNL), showcasing their performance through measurements using infrared laser TCT and high energy particles at the CERN SPS test beam. We analyze and compare different machine learning algorithms, as well as the charge imbalance method, for the hit position reconstruction. In this study, square pixel sensor arrays with 500 µm pitch are presented, paving the way to study smaller pitch sensors in the near future for increased spatial resolution.
