Advanced particle detectors and data analysis –

Napredni detektorji delcev in obdelava podatkov
Lecturer: Peter Križan

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Programme and conditions	Napredni detektorji delcev in obdelava podatkov - official FMF web page Program in pogoji Program and conditions
Course layout	School year 2024/2025
Literature	Selected experiments · Cahn, Goldhaber: The Experimental Foundations of Particle Physics Analysis of data · Mathematical tools: statistics, probability, machine learning · Pattern Recognition, Tracking and Vertex Reconstruction in Particle Detectors; R. Frühwirth, A. Strandlie, Springer 2021, open access Statistical methods · L. Lyons, Statistics for nuclear and particle physicists Accelerators · D.A. Edwards & M.J. Syphers, An Introduction to the Physics of High Energy Accelerators, Wiley 1993. · M. Conte & W.W. Mackay, An Introduction to the Physics of Particle Accelerators, World Scientic 1991. Reviews in the Particle Data Book: interaction with matter, detectors, statistics
Recordings of lectures	School year 2020/2021
Slides	Introduction Interaction of particles with matter: plots and derivations Selected experiments: B factory, Belle and Belle II (e+e- collider) Selected experiments: general purpose experiment at LHC: ATLAS Selected experiments: fixed-target experiments Selected experiments: deep underground experiments Selected experiments: astroparticle physics Analysis of raw experimental data Analysis of experimental data - selection of events

Last modified: September 28, 2024