Challenges in Particle Tracking: Detectors, Methods and AI (MVSem)

Information

Lecturers

Prof. Dr. André Schöning
schoning(at)physi.uni-heidelberg.de

Dr. Sebastian Dittmeier
dittmeier(at)physi.uni-heidelberg.de

Dr. Heiko Augustin
augustin(at)physi.uni-heidelberg.de

Where&When

INF 227, Room 02.403
Mo 16:15 - 18:00

Zoom Link:

https://eu02web.zoom-x.de/j/64128301072?pwd=Y9WCp4PTmqMlaFznTvvova7r3KbbT5.1
Meeting-ID: 641 2830 1072 Kenncode: 222086

Modus operandi

• 6 ECTS credit points == 180 hours of your work
• includes: literature research, preparation of your presentation, write up (up to 6 pages), weekly attendance
• Submission deadline for write up: September 13th 2024

Introduction slides from day 1

Topics

Detectors

• Drift Chamber (Ref: W.Blum und L.Rolandi, Particle Detection with Drift Chambers, Springer)
• MWPC [ref1, ref2, ref3 p127+]
• TPC Gas [ref1, ref2, ref3 p154+]
• TPC Liquid [ref1, ref2]
• Si-Strips  [ref1, ref2 ref3(#1)]
• Hybridisation(Pixel) [ref1, ref2]
• MAPS [ref1, ref2]
• HV-MAPS [ref1, ref2]
• SciFi [ref1, ref2, ref3]

Methods

• Kalman Filter [ref1, ref2]
• Cellular Automaton [ref]
• Hough-Transform [ref1, ref2 , ref3] 
• Vertexing  [ref1, ref2, ref3]
• Aligment [ref]
• Track Trigger (FTK: https://arxiv.org/pdf/2101.05078.pdf)
• Uncertainties and Fitting

AI

• Improving Tracking with Neural Networks [ref1, ref2, ref3]
• Track Seed Filtering and Jet Tracking with Convolutional Neural Networks [ref1, ref2]
• Muon track reconstruction with Recurrent Neural Networks [ref1, ref2]
• Charged Particle Tracking with Graph Neural Networks [ref1, ref2, ref3]
• One-shot Tracking with Object condensation [ref1, ref2]

Other

• Fast Tracking on GPUs

Practice groups

• Group Standardgruppe (Heiko Christian Augustin, Sebastian Dittmeier, André Schöning)
  9 participants
  INF 227 02.403, Mon 16:00 - 18:00