402-0738-00L Statistical Methods and Analysis Techniques in Experimental Physics
| Semester | Spring Semester 2017 |
| Lecturers | M. Donegà, C. Grab |
| Periodicity | yearly recurring course |
| Language of instruction | English |
Courses
| Number | Title | Hours | Lecturers | ||||
|---|---|---|---|---|---|---|---|
| 402-0738-00 G | Statistical Methods and Analysis Techniques in Experimental Physics | 5 hrs |
| M. Donegà, C. Grab |
Catalogue data
| Abstract | This lecture gives an introduction to the statistical methods and the various analysis techniques applied in experimental particle physics. The exercises treat problems of general statistical topics; they also include hands-on analysis projects, where students perform independent analyses on their computer, based on real data from actual particle physics experiments. |
| Learning objective | Students will learn the most important statistical methods used in experimental particle physics. They will acquire the necessary skills to analyse large data records in a statistically correct manner. Learning how to present scientific results in a professional manner and how to discuss them. |
| Content | Topics include: - modern methods of statistical data analysis - probability distributions, error analysis, simulation methos, hypothesis testing, confidence intervals, setting limits and introduction to multivariate methods. - most examples are taken from particle physics. Methodology: - lectures about the statistical topics; - common discussions of examples; - exercises: specific exercises to practise the topics of the lectures; - all students perform statistical calculations on (their) computers; - students complete a full data analysis in teams (of two) over the second half of the course, using real data taken from particle physics experiments; - at the end of the course, the students present their analysis results in a scientific presentation; - all students are directly tutored by assistants in the classroom. |
| Lecture notes | - Copies of all lectures are available on the web-site of the course. - A scriptum of the lectures is also available to all students of the course. |
| Literature | 1) Statistics: A guide to the use of statistical medhods in the Physical Sciences, R.J.Barlow; Wiley Verlag . 2) J Statistical data analysis, G. Cowan, Oxford University Press; ISBN: 0198501552. 3) Statistische und numerische Methoden der Datenanalyse, V.Blobel und E.Lohrmann, Teubner Studienbuecher Verlag. 4) Data Analysis, a Bayesian Tutorial, D.S.Sivia with J.Skilling, Oxford Science Publications. |
| Prerequisites / Notice | Basic knowlege of nuclear and particle physics are prerequisites. |
Performance assessment
| Performance assessment information (valid until the course unit is held again) | |
Performance assessment as a semester course | |
| ECTS credits | 10 credits |
| Examiners | C. Grab, M. Donegà |
| Type | session examination |
| Language of examination | English |
| Repetition | The performance assessment is offered every session. Repetition possible without re-enrolling for the course unit. |
| Mode of examination | oral 30 minutes |
| This information can be updated until the beginning of the semester; information on the examination timetable is binding. | |
Learning materials
| Moodle course | Moodle-Kurs / Moodle course |
| Only public learning materials are listed. | |
Groups
| No information on groups available. |
Restrictions
| There are no additional restrictions for the registration. |
