Data Compression Studies in the High Granularity Calorimeter

This document outlines the details of my project and contributions to the CMS experiment as a CERN Summer Student participating in the University of Michigan CERN Research Experience for Undergraduates (REU). I describe relevant updates to the CMS detector as part of the High-Luminosity LHC upgrade; particularly to the frontend electronics of the High Granularity Calorimeter (HGCAL) which will replace the existing endcap calorimeters. My project seeks to optimize the data compression algorithms in the front-end electronics via Machine Learning. I evaluate the physics performance of these algorithms by estimating the detector resolution when reconstructing electron or photon showers from the compressed data.