Fakultät > Vorlesungen > Sommersemester 2024 > Challenges in Particle Tracking: Detectors, Methods and AI (MVSem)
Challenges in Particle Tracking: Detectors, Methods and AI (MVSem)
Sommersemester 2024
Dozent: Augustin H, Dittmeier S, Schöning A
11 Teilnehmer/innen
Dozent: Augustin H, Dittmeier S, Schöning A
11 Teilnehmer/innen
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 16:00 - 18:00
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
Übungsgruppen
- Gruppe Standardgruppe (Heiko Christian Augustin, Sebastian Dittmeier, André Schöning)
11 Teilnehmer/innen
INF 227 02.403, Mo 16:00 - 18:00