The application of machine learning (ML) in high energy physics (HEP), specifically in heavy-
flavor jet tagging at Large Hadron Collider (LHC) experiments, has experienced remarkable …

The Large Hadron Collider (LHC) is one of largest scientific instruments ever built. It has
been exploring the new energy frontier since 2010, gathering a global user community of …

Top quarks have been recently shown to be a promising system to study quantum
information at the highest-energy scale available. The current lines of research mostly …

Top quarks represent unique high-energy systems since their spin correlations can be
measured, thus allowing to study fundamental aspects of quantum mechanics with qubits at …

We study the phenomenology of a particular leptoquark extension of the Standard Model
(SM), namely the doublet-singlet scalar leptoquark extension of the SM (DSL-SM). Besides …

QGP tomography aims to constrain the QGP parameters by exploiting both low and high-p⊥
theory and data. With this goal in mind, we present a fully optimised framework DREENA-A …

Successful operation of large-scale particle accelerators depends on the precise correction
of magnet field or alignment errors present in the machine. In the Large Hadron Collider …

Thanks to its versatility in deploying large kicks with high efficiency, crystal channeling is
being integrated more and more into modern particle accelerators. For example, at the …

The LHCb (Large Hadron Collider beauty) experiment at CERN LHC aims at achieving a
significantly higher luminosity than originally planned by means of two major upgrades: the …

Supercomputers have been driving innovations for performance and scaling benefiting
several scientific applications for the past few decades. Yet their ecosystems remain virtually …