Quantum computers offer an intriguing path for a paradigmatic change of computing in the
natural sciences and beyond, with the potential for achieving a so-called quantum …

The nature of dark matter and properties of neutrinos are among the most pressing issues in
contemporary particle physics. The dual-phase xenon time-projection chamber is the …

Detector and event visualization are essential parts of the software used in high-energy
physics (HEP) experiments. Modern visualization techniques and multimedia production …

Built on top of the Geant4 toolkit, GATE is collaboratively developed for more than 15 years
to design Monte Carlo simulations of nuclear-based imaging systems. It is, in particular …

This review demonstrates the unique role of the neutrino by discussing in detail the physics
of and with neutrinos. We deal with neutrino sources, neutrino oscillations, absolute masses …

From raw detector activations to reconstructed particles, data at the Large Hadron Collider
(LHC) are sparse, irregular, heterogeneous and highly relational in nature. Graph neural …

Simulating showers of particles in highly-granular detectors is a key frontier in the
application of machine learning to particle physics. Achieving high accuracy and speed with …

Open is not enough | Nature Physics Skip to main content Thank you for visiting nature.com.
You are using a browser version with limited support for CSS. To obtain the best experience, we …

A bstract This paper presents updated Monte Carlo configurations used to model the
production of single electroweak vector bosons (W, Z/γ∗) in association with jets in proton …

Motivated by the computational limitations of simulating interactions of particles in highly-
granular detectors, there exists a concerted effort to build fast and exact machine-learning …