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| STAT0202-1

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

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| Duration : | 22,5h Th, 15h Pr | |
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| Credits/ECTS : |
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| Holder(s) : | Pierre Magain | |
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| 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 | |
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| Course objective :
| To understand and experiment the basic principles of experimental data processing in physical science. | |
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| Prerequisites :
| Basics of algebra, mathematical analysis, probability and statistics. Introductory phyics. | |
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| 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. | |
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| Organization :
| Theoretical lectures (about 1h30).
Computer exercises (about 2h). | |
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| Written notes :
| Photocopies of transparencies. | |
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| 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. | |
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| 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 | |
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