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HUGS2023---Machine Learning for Nuclear Physics and the Electron Ion Collider
AI/ML for Nuclear Physics and the Electron Ion
Machine Learning for Nuclear Physics and the Electron Ion Collider (HUGS2023)
Lectures
(Lec 1) AI/ML for Nuclear Physics - A High-Bias, Low-Variance Introduction
(Lec 2) Leveraging AI/ML for the future Electron Ion Collider
(Lec 2, extra) AI/ML activities at Jefferson Lab - Paving the way for the Electron Ion Collider
(Lec 3) ePIC at EIC – The First Large-Scale Experiment Designed with the AI Assistance
Tutorials
(Tut 0) "Pre-flight"
(Tut 1) Deeply Learning Deep Inelastic Scattering
(Tut 2 - part a) AI-assisted design with MOEA
(Tut 2 - part b) AI-assisted design with MOBO
AI4EIC tutorials
Other References
Introduction to Data Science (beginners)
Interactively Navigate the Pareto Front of the EIC Tracker
Summary
AI4EIC hackathon
Datasets / Modules
all-h1-rapgap.root
intro_Data.py
References
References
repository
open issue
Index
