New Submission FCC-ee detector performance study using multi-variate analysis tools in Higgs-to-invisible search

CERN, one of the leading high energy physics laboratories, hosts the Large Hadron Collider (LHC), a particle accelerator with its many detectors including ATLAS and CMS. CERN plans to host the Future Circular Collider (FCC), the successor to the LHC with plans on conducting electron-positron collisions (FCC-ee) for future high-luminosity collider experiments. One of the goals of the FCC-ee is to discover new physics such as the nature of dark matter or anti-matter symmetry through measuring certain processes. The FCC-ee will be a Higgs “Factory”,  which produces large amounts of Higgs bosons.  Higgs bosons are important as they will enable greater invisible Higgs decay detection, a possible window to physics beyond the Standard Model. This study utilizes multi-variate classification techniques that provide evaluations for the training and testing for this  analysis. Using the invisible decays of the Higgs boson as a benchmark, this work conducts performance tests on the TMVA that potentially can improve Higgs-to-invisible detection at the FCC-ee. The tests conducted using the TMVA include the impact of linear correlation vs. number of input variables and signal-efficiency and background-rejection of classifiers. The classifiers chosen showed high signal-efficiency and background-rejection with run times spanning minutes and suggests the possibility of further optimization that will improve FCC-ee analysis.