356 citations
- The University of AdelaideAU58 papers
- The University of MelbourneAU39 papers
- Monash UniversityAU28 papers
- The University of SydneyAU28 papers
- Institute of Theoretical PhysicsCN13 papers
- Chinese Academy of SciencesCN7 papers
- Deutsches Elektronen-Synchrotron DESYDE7 papers
- Nanjing Normal UniversityCN7 papers
- A. Alikhanyan National LaboratoryAM6 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR6 papers
- Henan Normal UniversityCN6 papers
- CEA Paris-SaclayFR5 papers
139 papers
Dense Matter in Neutron Stars with eXTP
Ang Li, Anna L. Watts, Guobao Zhang +82
In this White Paper, we present the potential of the enhanced X-ray Timing and Polarimetry (eXTP) mission to constrain the equation of state of dense matter in neutron stars, explo…
Emergent symmetry in a two-Higgs-doublet model from quantum information and nonstabiliserness
Giorgio Busoni, John Gargalionis, Ewan N. V. Wallace +1
Studies of scattering processes in scalar models with two Higgs doublets have recently hinted at a connection between the absence of flavour-space entanglement in scatteri…
Quantum Information meets High-Energy Physics: Input to the update of the European Strategy for Particle Physics
Yoav Afik, Federica Fabbri, Matthew Low +68
Some of the most astonishing and prominent properties of Quantum Mechanics, such as entanglement and Bell nonlocality, have only been studied extensively in dedicated low-energy la…
Precision calibration of calorimeter signals in the ATLAS experiment using an uncertainty-aware neural network
ATLAS Collaboration
The ATLAS experiment at the Large Hadron Collider explores the use of modern neural networks for a multi-dimensional calibration of its calorimeter signal defined by clusters of to…
A Primer on Dark Matter
Csaba Balazs, Torsten Bringmann, Felix Kahlhoefer +1
Dark matter is a fundamental constituent of the universe, which is needed to explain a wide variety of astrophysical and cosmological observations. Although the existence of dark m…
A comparison of Bayesian sampling algorithms for high-dimensional particle physics and cosmology applications
Joshua Albert, Csaba Balazs, Andrew Fowlie +4
For several decades now, Bayesian inference techniques have been applied to theories of particle physics, cosmology and astrophysics to obtain the probability density functions of…