# 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. |