Collider Physics and Amplitudes - Lance Dixon
Explore recent advances in collider physics and scattering amplitudes with Lance Dixon from SLAC. This talk covers cutting-edge research and future opportunities in high-energy particle physics theory.
Neutrino Frontier - Pedro Machado
Explore the latest advancements and future prospects in neutrino physics with Pedro Machado from Fermilab, as part of the 2022 Snowmass Theory Frontier Conference at KITP.
AF Theory - Lian-Tao Wang
Explore advances in High Energy Physics theory with Lian-Tao Wang's talk on AF Theory at the 2022 Snowmass Theory Frontier Conference, covering particle, string, and cosmological theories.
Highlights from the Energy Frontier - Laura Reina
Exploration of recent advances and future opportunities in High Energy Physics theory, focusing on highlights from the Energy Frontier presented by Laura Reina from Florida State University.
Testing the SMEFT at Low- and High-Energy - Emanuele Mereghetti
Explore the Standard Model Effective Field Theory (SMEFT) testing at various energy scales. Gain insights into particle physics research and its implications for understanding fundamental interactions.
Hadronic Contribution to the Muon Anomalous Magnetic Moment From Lattice QCD - Thomas Blum
Explore lattice QCD calculations of hadronic contributions to muon's anomalous magnetic moment. Learn about recent advances and future opportunities in particle physics theory.
Conformal Colliders Meet the LHC - Rethinking Jets with Energy Correlators - Ian Moult (Yale)
Explore innovative approaches to jet analysis in particle physics using energy correlators, bridging conformal collider theory with LHC experiments. Gain insights into advanced techniques for understanding high-energy collisions.
Challenges and Prospects for Low-Level End-to-End Reconstruction With Machine
Explore challenges and prospects of low-level end-to-end reconstruction using machine learning in high-energy physics, focusing on innovative techniques and future applications.
Introduction of BDT and NN for Classification in HEP
Introduction to Boosted Decision Trees and Neural Networks for particle classification in High Energy Physics, covering fundamental concepts and applications in experimental data analysis.
Data-Driven Cosmology by Jia Liu
Explore data-driven approaches in cosmology, leveraging statistical methods and machine learning to analyze vast datasets and uncover insights about the universe's structure and evolution.
Neural Simulation-Based Inference by Elham E Khoda and Aishik Ghosh
Explore neural simulation-based inference techniques for high energy physics, focusing on advanced machine learning applications in data analysis and new physics discovery.
Machine Learning in High Energy Physics by Michael Kagan
Explore applications of deep machine learning in high energy physics, covering classification, identification, and estimation strategies for analyzing LHC data and searching for new physics.
Machine-Learned Symmetries by Konstantin Matchev
Explore machine-learned symmetries in high-energy physics with Konstantin Matchev. Discover innovative approaches to uncover hidden patterns and symmetries in particle physics data using advanced machine learning techniques.
Statistical Methods and Machine Learning in High Energy Physics - Project Presentation Session 2
Explore cutting-edge statistical methods and machine learning applications in high energy physics through expert presentations, fostering collaboration and innovation in data-driven research.
ML4Higgs - Success and Future Prospects by Nick Smith
Explore machine learning applications in high-energy physics, focusing on Higgs boson research. Learn about successful ML techniques and future prospects in analyzing LHC data for new physics discoveries.
Generative Models by Elham E Khoda and Aishik Ghosh
Explore generative models in high-energy physics, focusing on applications for data analysis and new physics discovery. Learn techniques to handle large datasets and improve classification strategies.
Exercise with Root - Lecture 3
Hands-on ROOT exercise exploring data analysis techniques in high-energy physics, led by expert Tommaso Dorigo. Practical application of statistical methods for particle physics research.
Gamma Factory - A Tool-Driven Revolution in Physics
Explore the revolutionary Gamma Factory concept and its potential impact on physics research with Prof. Witek Krasny's in-depth presentation on cutting-edge particle acceleration techniques.
IceCube and the Discovery of High-Energy Cosmic Neutrinos
Explore the groundbreaking IceCube project, its detection of cosmic neutrinos, and implications for understanding the non-thermal universe and hadronic accelerators in compact objects.
Recent Results and Future Opportunities in Neutrino Physics
Explore recent neutrino oscillation experiment results and their impact on future research directions in particle physics with Dr. Geralyn Zeller from Fermilab.
Results from the CERN Large Hadron Collider
Explore groundbreaking discoveries from CERN's Large Hadron Collider, including recent findings and future research directions in high-energy and neutrino physics.