Advanced particle detectors and data analysis

Napredni detektorji delcev in obdelava podatkov
Lecturer: Peter Križan


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
Accelerators (not an obligatory part of the course)


 
 

Last modified: September 28, 2024