Nov 18 – 22, 2024
America/New_York timezone

Timing-imaging layers for 5D calorimeters and hadron identification at future high-luminosity colliders

Nov 19, 2024, 4:45 PM
15m
362A/B (Student Union)

362A/B

Student Union

Parallel Presentation RDC11: Fast Timing RDC 09 - Calorimetry Parallel Session

Speaker

Hangyi Wu (Syracuse University)

Description

The LHCb experiment is planning its Upgrade II to align with the High-Luminosity LHC (HL-LHC) era, aiming to enhance its discovery potential through a combination of higher luminosity and increased detection efficiency for photons, $\pi^0$, electrons, and positrons. This powerful synergy promises to unlock new physics opportunities. Key to the success of this upgrade are three critical elements: high granularity, precise time resolution, and advanced feature extraction, supported by machine learning. This presentation will provide an overview of the ongoing R&D efforts for timing-imaging layers, focusing on their application in a 5D calorimeter, hadron identification at HL-LHC, and applications for experiments at future high-luminosity colliders.

Primary author

Marina Artuso (Syracuse University)

Co-authors

Andrew Jay Dowling (Syracuse University) Bridget Mack (Syracuse University) Felipe Luan Souza De Almeida (Syracuse University) Hangyi Wu (Syracuse University) Jonas N Eschle (Syracuse University) Justin Bartz (Syracuse University) Lauren Grace Mackey (Syracuse University) Matthew Rudolph (Syracuse University) Rafael Silva Coutinho (Syracuse University) Ray Mountain (Syracuse University) Wren Vetens (Syracuse University)

Presentation materials