# 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 |

### 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. |

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 | M. Donegà, C. Grab |

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 |

Additional information on mode of examination | Based on the regulation of continuous performance assessments, students have to work on a project and present the results at the end of the semester. This additional task is graded on a pass/fail basis and students who fail this task have to repeat the complete course. |

This information can be updated until the beginning of the semester; information on the examination timetable is binding. |

### Learning materials

No public learning materials available. | |

Only public learning materials are listed. |

### Groups

No information on groups available. |

### Restrictions

There are no additional restrictions for the registration. |