## Mauro Donegà: Catalogue data in Spring Semester 2017 |

Name | Dr. Mauro Donegà |

Address | Inst. f. Teilchen- und Astrophysik CERN, 32-4-C16 Route de Meyrin 1211 Genève 23 SWITZERLAND |

Telephone | +41 44 633 92 58 |

mdonega@ethz.ch | |

URL | https://people.phys.ethz.ch/~mdonega/ |

Department | Physics |

Relationship | Lecturer |

Number | Title | ECTS | Hours | Lecturers | |
---|---|---|---|---|---|

402-0738-00L | Statistical Methods and Analysis Techniques in Experimental Physics | 10 credits | 5G | M. Donegà, C. Grab | |

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. |