The strong force which binds hadrons is described by the theory of quantum
chromodynamics (QCD). Determining the character and manifestations of QCD is one of the …

We review the collider phenomenology of neutrino physics and the synergetic aspects at
energy, intensity and cosmic frontiers to test the new physics behind the neutrino mass …

The many ways in which machine and deep learning are transforming the analysis and
simulation of data in particle physics are reviewed. The main methods based on boosted …

Asymptotic safety generalizes asymptotic freedom and could contribute to understanding
physics beyond the Standard Model. It is a candidate scenario to provide an ultraviolet …

We perform an analysis within the Standard Model of B 0,+→ K* 0,+ μ+ μ-decays in light of
the recent measurements from the LHCb experiment, showing that new data strengthen the …

In this paper, we analyze a spin-zero relativistic quantum oscillator in the presence of the
Aharonov–Bohm magnetic flux in a space-time background produced by a point-like global …

We present the calculation of the full next-to-leading order (NLO) QCD corrections to Higgs
boson pair production via gluon fusion at the LHC, including the exact top-mass …

A bstract Autoencoders are widely used in machine learning applications, in particular for
anomaly detection. Hence, they have been introduced in high energy physics as a …

This paper introduces a new approach to measure the muon magnetic moment anomaly
and the muon electric dipole moment (EDM) at the J-PARC muon facility. The goal of our …

We present a determination of the parton distribution functions of the proton in which NLO
and NNLO fixed-order calculations are supplemented by NLL x small-x resummation. Deep …