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STAT0202-1

Statistics and processing of experimental physics data - processing of experimental physics data


Duration :22,5h Th, 15h Pr
Credits/ECTS :
1st "licence" in physical sciences3
Holder(s) :Pierre Magain
Course contents : 1. Introduction
- experimental errors and noise
- instrumental profile

2. Fourier analysis
- sampling and interpolation
- correlation
- spectral analysis

3. Modelling of data:
- inductive methods
- maximum likelihood
- least squares fitting

4. deconvolution
- Fourier methods
- direct elementary methods
- maximum entrop method
- bayesian methods
- MCS method
Course objective : To understand and experiment the basic principles of experimental data processing in physical science.
Prerequisites : Basics of algebra, mathematical analysis, probability and statistics. Introductory phyics.
Workshops : Computer exercises. The student will have to cope with typical examples of data, similar to those an experimental physicist may have to deal with in his research.
Organization : Theoretical lectures (about 1h30).

Computer exercises (about 2h).
Written notes : Photocopies of transparencies.
Assessment : The examination consists in solving two data analysis problems, similar to those carried out during the computer exercises. This is followed by a discussion of the results and of the relevant methods.
Contacts : Pierre Magain
Institut d'astrophysique et de Géophysique, Bat. B5c, allée du 6 Aout, 4000 Liège 1
(Sart Tilman).
Tél.: 04/366.97.53
E-mail : Pierre.Magain@ulg.ac.be




ULg : Students and Studies Administration - Academic Affairs
Contact : Monique Marcourt, direction A.E.E.
Date of data : 18/05/2007
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