From the 2 of 72 papers with an AI index.
86 citations
- Massachusetts Institute of TechnologyUS36 papers
- University of California SystemUS36 papers
- California Institute of TechnologyUS35 papers
- Eötvös Loránd UniversityHU35 papers
- Sapienza University of RomeIT35 papers
- University of FloridaUS35 papers
- University of Maryland, College ParkUS35 papers
- Cornell UniversityUS34 papers
- Tsinghua UniversityCN34 papers
- University of Milano-BicoccaIT34 papers
- University of Naples Federico IIIT34 papers
- University of ZurichCH34 papers
3 papers · 1 filter
Neural network enhanced Bayesian global analysis of relativistic heavy ion collisions
Jussi Auvinen, Kari J. Eskola, Henry Hirvonen +1
The paper presents a deep convolutional neural network that emulates costly viscous hydrodynamic simulations, enabling a Bayesian global analysis of bulk observables from relativis…
Validating a Machine Learning Approach to Identify Quenched Jets in Heavy-Ion Collisions
Yilun Wu, Yi Chen, Julia Velkovska
Jet quenching is a phenomenon in heavy-ion collisions arising from jet interactions with the quark-gluon plasma (QGP). Its study is complicated by the interplay of multiple physics…
Machine Learning for Multi-messenger Probes of New Physics and Cosmology: A Review and Perspective
Andrea Addazi, Konstantin Belotsky, Vitaly Beylin +18
The multi-messenger exploration of dark matter and physics beyond the Standard Model has emerged as a central direction in modern astro-particle physics, particularly following the…