54 citations · 248 across the 33 of their papers we have counts for
4 papers · 1 filter
Exploring unsupervised top tagging using Bayesian inference
Ezequiel Alvarez, Manuel Szewc, Alejandro Szynkman +2
Recognizing hadronically decaying top-quark jets in a sample of jets, or even its total fraction in the sample, is an important step in many LHC searches for Standard Model and Bey…
Null Hypothesis Test for Anomaly Detection
Jernej F. Kamenik, Manuel Szewc
We extend the use of Classification Without Labels for anomaly detection with a hypothesis test designed to exclude the background-only hypothesis. By testing for statistical indep…
Accessing CKM suppressed top decays at the LHC
Darius A. Faroughy, Jernej F. Kamenik, Manuel Szewc +1
We propose an extension of the existing experimental strategy for measuring branching fractions of top quark decays, targeting specifically , where is a light qua…
A method for approximating optimal statistical significances with machine-learned likelihoods
Ernesto Arganda, Xabier Marcano, Víctor Martín Lozano +4
Machine-learning techniques have become fundamental in high-energy physics and, for new physics searches, it is crucial to know their performance in terms of experimental sensitivi…