Measurement and Data Processing
| Code | Completion | Credits | Range |
|---|---|---|---|
| 12ZMDT | Z,ZK | 2 | 1P+1C |
- Garant předmětu:
- Ivan Procházka
- Lecturer:
- Josef Blažej, Ivan Procházka
- Tutor:
- Josef Blažej, Ivan Procházka
- Supervisor:
- Department of Physical Electronics
- Synopsis:
-
Basic knowledge for the measurements and data processing and result interpretation: errors, precision, accuracy, normal distribution and its propeties, data fitting, separation of the signal from the noise.
- Requirements:
-
Basic knowledge in mathematics and physics on the level of Bc courses in the 1st year at CTU in Prague and general knowledge of Fourier transform.
- Syllabus of lectures:
-
1.Definition of terms
2.Type of measurements and related error sources
3.Normal errors distribution
4.Normal errors distribution consequences
5.Data fitting and smoothing: interpolation, fitting, least square algorithm, mini-max methods, weighting methods, test #1
6.Data fitting and smoothing: parameters estimate, fitting strategy, solution stability
7.Data fitting and smoothing: polynomial fitting, 'best fitting' polynomial, splines, demo
8.Data editing: normal data distribution, 3*sigma, relation to data fitting, deviations from normal distribution, tight editing criteria, test #2
9.Signal mining: noise properties, correlation, lock-in measurements
10.Signal mining methods: Correlation estimator, Fourier transform application
11.Signal mining methods - examples
12.Review, test
- Syllabus of tutorials:
-
like lecture
- Study Objective:
-
Knowledge: The course objektive is gaining of knowledge in the field of data processing and correct interpretation of results.
Skills: The student will be able to process and correctly interpret the measured data and observations
- Study materials:
-
Key references:
[1] P. Hansen, V. Pereyra, G. Scherer, Least Squares Data Fitting with Applications, Baltimore, MD, USA:JHU Press, 2013, ISBN 978-1-4214-0786-9.
[2] J. Mandel, The Statistical Analysis of Experimental Data, Dover Publications 1984, ISBN: 978-0486646664.
Recommended references:
- Note:
- Time-table for winter semester 2023/2024:
- Time-table is not available yet
- Time-table for summer semester 2023/2024:
- Time-table is not available yet
- The course is a part of the following study plans:
-
- Fyzikální inženýrství - Počítačová fyzika (PS)
- Aplikace informatiky v přírodních vědách (compulsory course in the program)
- Fyzikální inženýrství - Fyzika plazmatu a termojaderné fúze (elective course)
- Fyzikální inženýrství - Laserová technika a fotonika (PS)
- Physical Engineering - Computational physics (PS)