3 papers
hep-ph2026
Two-Stage Machine Learning Strategy for Scalar and Vector Leptoquark Discrimination at the LHC
Ernesto Arganda, Martín de los Rios, Andres D. Perez +2
We present a machine learning framework for the characterization of leptoquark (LQ) signals at the Large Hadron Collider, focusing on the discrimination between scalar (SLQ) and ve…
hep-ph2023
LHC Study of Third-Generation Scalar Leptoquarks with Machine-Learned Likelihoods
Ernesto Arganda, Daniel A. Díaz, Andres D. Perez +2
We study the impact of machine-learning algorithms on LHC searches for leptoquarks in final states with hadronically decaying tau leptons, multiple -jets, and large missing tran…
hep-ph2023
Probing new physics with charge asymmetries in 2 same-sign leptons plus jets final states at the LHC
Ernesto Arganda, Leandro Da Rold, Aurelio Juste +2
We study the impact of new physics models in the charge asymmetry defined for LHC final states consisting of two same-sign leptons (2SS, with ) plus jets ($N_\text{jets…