# 402-0738-00L  Statistical Methods and Analysis Techniques in Experimental Physics

 Semester Spring Semester 2020 Lecturers M. Donegà, C. Grab Periodicity yearly recurring course Language of instruction English

 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. 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.