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PřF:FX003 Experiment setup and interpret - Course Information

## FX003 Experiment setup and interpretation

**Faculty of Science**

autumn 2017

**Extent and Intensity**- 1/1. 2 credit(s) (plus extra credits for completion). Type of Completion: graded credit.
**Teacher(s)**- Mgr. Filip Münz, PhD. (lecturer)

Mgr. Filip Münz, PhD. (seminar tutor) **Guaranteed by**- prof. RNDr. Josef Humlíček, CSc.

Department of Condensed Matter Physics - Physics Section - Faculty of Science

Contact Person: Mgr. Filip Münz, PhD.

Supplier department: Department of Condensed Matter Physics - Physics Section - Faculty of Science **Timetable**- Mon 18. 9. to Fri 15. 12. Thu 14:00–14:50 Fs1,01017, Thu 15:00–15:50 Fs1,01017
**Prerequisites**-
**F7270**Math. methods for data anal.

We assume basic knowledge of probability theory and mathematical statistics (in the extent of F7270 course ev. Mathematics IV for BUT students). It includes manipulation of random variables (also multidimensional), overview of basic discrete and continuous distributions, estimate theory and hypothesis testing, linear and nonlinear regression. **Course Enrolment Limitations**- The course is offered to students of any study field.
**Course objectives**- The aim of the course is to show procedures that from general requirements on model form specify parameter properties. The model is then applied on a suitable data set.
**Learning outcomes**- Students should be (after finishing the course) capable of:

- analysing statisticaly of (inhomogeneous) data sample

- designing a set of proposed measurements, reveal critical points in the space of possible entry parameters

- choosing and applying of a robust method of data reduction

- eliminating (disentangling) trends in series of data

- choosing of a suitable optimization process in model-experiment comparison **Syllabus**- Review of mathematical statistics
- Easy cases - physical experiments revisited
- Regression - from linear to orthogonal, robust methods
- Multidimensional problems, reducing number of variables
- Event densities, KDE
- Moment estimates from samples
- Ortogonal spaces (polynoms)
- Upper limits

**Literature***Statistical methods in experimental physics*. Edited by Frederick E. James. 2nd ed. Hackensack, N.J.: World Scientific, 2006. xviii, 345. ISBN 9789812705273. info

*recommended literature***Teaching methods**- Lectures combined with practical examples (during exercises), independently solved problems (sumulated "experimental" data).
**Assessment methods**- During the course, students solve individually 1-2 problems (e.g. hypothesis/model testing); final written report is based on analysis of computer-generated data, the results are discussed in a form of colloquium.
**Language of instruction**- Czech
**Further comments (probably available only in Czech)**- Study Materials

The course is taught annually.

General note: Předmět určen pro studenty Fyzikálního inženýrství VUT. **Teacher's information**- http://nymeria.physics.muni.cz/face/praxis/fdoc/mmzm/

- Enrolment Statistics (autumn 2017, recent)
- Permalink: https://is.muni.cz/course/sci/autumn2017/FX003