3 papers
hep-ph2026
Weight-Based Representation Learning for Parameter Inference in Monte Carlo Simulations
Vichayanun Wachirapusitanand, Norraphat Srimanobhas
We present a Machine Learning-based approach for parameter inference in physics models that exploits event-level weights provided by simulators. Individual observations may have we…
hep-ph2026
Searching for Lepton Flavor Violating decays of the Higgs Boson into , , and final states at FCC-ee
P. Sriling, N. Srimanobhas, P. Uttayarat +2
We investigate the projected sensitivity of the FCC-ee in probing the LFV decay of the 125 GeV Higgs boson, , , and at center-of-mass energy of 240 GeV…
hep-ph2023
A New Higgs Boson with Electron-Muon Flavor-Violating Couplings
R. Primulando, J. Julio, N. Srimanobhas +1
Recently, the CMS Collaboration performed a search on a new resonance decaying to in the mass range of 110 GeV to 160 GeV. The search also hints a possible excess at 1…