2016/09/01 by Nathan P. Hartland, Hartland, Nathan P.
Computer Science · Physics and Astronomy · #Computational Physics and Python Applications #Distributed and Parallel Computing Systems #FOS: Physical sciences #High Energy Physics - Phenomenology (hep-ph) #Particle physics theoretical and experimental studies
paper · pdf · doi:10.48550/arxiv.1609.00254
openalex publication_date 2016/09/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
In this contribution we study the prospects of measuring double Higgs production at a potential 100 TeV future circular collider. We apply an analysis procedure that utilises reconstructed Higgs pairs from multiple final state event topologies in order to maintain high selection efficiencies. Signal purity is then further improved by means of a artificial neural network classifier. The results of this analysis for the high luminosity LHC show significant potential, however when applied to a 100 TeV hadron collider we find that such a measurement is likely to suffer from a very poor signal to background ratio. Such a measurement at the FCC is therefore likely to be significantly more challenging than at the high luminosity phase of the LHC.