4 papers · 1 filter
Quantum computation of partonic Drell-Yan scattering cross sections and interference effects
Erik Bashore, Stefano Moretti, Timea Vitos
We probe the possibilities of efficiently constructing simple Feynman diagrams into quantum devices. More precisely, we study Drell-Yan lepton pair creation at the partonic level o…
Mono-X Signal Characterization from Two-component Dark Matter Using a Convolutional Neural Network
Max Fusté Costa, Yong Sheng Koay, Stefano Moretti
We assess the scope of a Convolutional Neural Network (CNN) in characterizing potential signals of two-component Dark Matter (DM) arising at the Large Hadron Collider (LHC) from mo…
The X17 Existence Hinted at by Nuclear Reactor Neutrinos
Johan Rathsman, Joakim Cederkäll, Yasar Hicyilmaz +2
We show that by exploiting the process of Coherent Elastic neutrino (v) Nucleus Scattering (CEvNS), neutrino measurements by nuclear reactor experiments appear to corroborate the e…
Glimpses of the X17 from coherent elastic neutrino nucleus scattering
Johan Rathsman, Joakim Cederkäll, Yasar Hicyilmaz +2
We show that the process of Coherent Elastic neutrino (ν) Nucleus Scattering (CEνNS) at nuclear reactor experiments has significant sensitivity to the so-called X17 particle, which…