5 citations · 6 across the 4 of their papers we have counts for
4 papers
Di-Higgs to 4b with Bayesian inference: improving simulation estimates
Ezequiel Alvarez, Leandro Da Rold, Manuel Szewc +3
Measuring di-Higgs production in the four-bottom channel is challenged by overwhelming QCD backgrounds and imperfect simulations. We develop a Bayesian mixture model that simultane…
Inferring correlated distributions: boosted top jets
Ezequiel Alvarez, Manuel Szewc, Alejandro Szynkman +2
Improving the understanding of signal and background distributions in signal-region is a valuable key to enhance any analysis in collider physics. This is usually a difficult task…
The model reloaded
Roberto Bruschini, Pedro González, Tatiana Tarutina
We revisit the phenomenological model for the decay of quarkonium into two open flavor mesons (). We tak…
Improvement and generalization of ABCD method with Bayesian inference
Ezequiel Alvarez, Leandro Da Rold, Manuel Szewc +3
To find New Physics or to refine our knowledge of the Standard Model at the LHC is an enterprise that involves many factors. We focus on taking advantage of available information a…