Experimental methods in fundamental physics - Data analysis methods

Teacher(s)

Bruno Giacomo; Cortina Gil Eduardo;

Language

English

Prerequisites

Having followed LPHYS2102 is an asset

Main themes

Triggering, data acquisition and computing systems - Data treatment algorithms - Advanced statistics - Software tools for data treatment and simulation in fundamental physics.

Content

9.   Trigger and data acquisition systems.
10.   Offline data processing systems.
11. Event reconstruction algorithms in particle physics.
      a. Tracking,
      b. Vertexing.
      c. Clustering.
      d. Jets
12. Calibration and alignment techniques.
13. Introduction to data analysis methods used in gravitational wave physics
14. Statistical methods of data analysis.
15. Simulation of particle propagation in matter.
16. Project concerning either the simulation of particle propagation in matter or a statistical analysis of data from a physics experiment.

Teaching methods

- Lectures in auditorium.

- Resolution of problems in auditorium.
- Personal software project and report writing.

Evaluation methods

Evaluation of a report written by the student on a project concerning either the simulation of the particle propagation in matter or a statistical analysis of data resulting from an experiment in physics. Evaluation of an oral interrogation on the project and the subjects treated in the teaching unit.

Other information

This partim counts for 5 credits and can be taken separately from the full course

Bibliography

G. Cowan, “Statistical Data Analysis”, Oxford Science Publications.

Faculty or entity

PHYS