147 citations · 823 across the 33 of their papers we have counts for
34 papers
Double Higgs production at the HL-LHC: probing a loop-enhanced model with kinematical distributions
Leandro Da Rold, Manuel Epele, Anibal D. Medina +2
We study di-Higgs production via gluon fusion at the high luminosity LHC in the presence of new physics, focusing on the final states. Taking a minimal set of three sca…
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…
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…
The Elusive Muonic WIMP
Anibal D. Medina, Nicolás I. Mileo, Alejandro Szynkman +1
The Weakly Interacting Massive Particle (WIMP) paradigm is one of the most popular scenarios for Dark Matter (DM) theories that however is strongly constrained, in particular by di…
Interpretation of LHC excesses in ditop and ditau channels as a 400-GeV pseudoscalar resonance
Ernesto Arganda, Leandro Da Rold, Daniel A. Díaz +1
Since the discovery in 2012 of the Higgs boson at the LHC, as the last missing piece of the Standard Model of particle physics, any hint of new physics has been intensively searche…
Towards a method to anticipate dark matter signals with deep learning at the LHC
Ernesto Arganda, Anibal D. Medina, Andres D. Perez +1
We study several simplified dark matter (DM) models and their signatures at the LHC using neural networks. We focus on the usual monojet plus missing transverse energy channel, but…