Light-Cone 2023: Hadrons and Symmetries (LC2023), will be held at the Brazilian Center for Physics Research (CBPF) in Rio de Janeiro, Brazil, from 18-22 September, 2023.
The conference will follow the tradition of the Light-Cone Series to bring together quantum field-theory, particle and nuclear physics communities including both theoreticians and experimentalists to discuss new results...
2023 N3AS (Network for Neutrinos, Nuclear Astrophysics, and Symmetries) Summer School on Multi-Messenger Astrophysics will be held at the University of California, Santa Cruz campus on July 15-24, 2023. The school is intended for advanced graduate students and beginning postdoctoral researchers interested in nuclear and particle astrophysics and will cover theory, experiment, and observation. Interested parties should...
You are invited! In celebration of Pride Month, Jefferson Lab will host a hybrid event featuring, Cathleen Rhodes, master lecturer, Women's Studies, Old Dominion University. Cathleen will share her personal story and ways on how we can continue to advocate and be allies for the LGBTQ+ community.
Topic: LGBTQ+ Allyship in Action
Time: Jun 15, 2023 1:00 PM Eastern Time (US and Canada)
CEBAF...
We kindly ask all attendees to provide their full name when entering the event. If attendees have questions for the speaker, please introduce yourself before asking the question.
Speaker: Adrien Florio (Brookhaven National Lab)
Title: Real-time non-perturbative dynamics of jet production in Schwinger model: quantum entanglement and vacuum modification
We are pleased to announce that the SNPSchool2023 will be held at J-PARC, Tokai, Japan, from December 11-15, 2023 co-hosted by J-PARC, ELPH-Tohoku, RCNP-Osaka, KEK-IINAS, and supported by ASRC JAEA, ANPhA, RIKEN Nishina Center, GP-PU of Tohoku Univ, and related research grants. This is the twelfth of the series which has been held every year since 2012.
The school will be held in-person at J-PARC as well as...
Title: Machine Learning for New Physics in B ¿ K*µ+µ- Decays
Abstract: We report the status of a neural network regression model trained to extract new physics (NP) parameters in Monte Carlo (MC) data. We utilize a newEvtGen NP MC generator to generate B ¿ K*µ+µ- events according to the deviation of the Wilson Co-efficient C9...