# Statistics for Particle Physicists

- Institution: CERN
- Department: Academic Training Lecture Regular Programme,2020-2021
- Speaker: Glen Cowan
- Year: 2021
- Level: Graduate
- Language: English
- Subjects: Mathematics, Physics
- Source: [CERN](https://videos.cern.ch/record/3012353)
- Licence: [CERN](http://copyright.web.cern.ch)
- Who can watch: Tweens profiles and older (sources give no ratings; placed by Invisible Network from the source's own words)

The growing complexity of the particle physics analyses has made a good understanding of complex statistical tools an essential part of the education of a particle physicist. This series of lectures will present the basis of statistics, current analysis tools and will discuss the most relevant statistical techniques used in particle physics analysis.

Short bio: Prof. Glen Cowan

PhD in Physics 1988 from University of California, Berkeley, with thesis on pi/K/p production in e+e- collisions with the TPC/two-gamma experiment at PEP.

1988-1998, postdoc on ALEPH Experiment (CERN) with Max Planck Institute for Physics, Munich and University of Siegen, Germany. Research on QCD (multijet production, measurements of alpha_s, properties of hadronic Z decays).

1998-present, faculty member in Department of Physics, Royal Holloway, University of London. 1998-2007, research on BaBar experiment (tau physics, b -> s gamma); 2001-present, member of Particle Data Group (reviews on Statistics); 2004-present, research on ATLAS experiment (development of statistical methods, Higgs physics), 2017-present, Scientific Coordinator of INSIGHTS ITN. .

0:00:00 Slide 1

0:06:52 Slide 2

0:13:44 Slide 3

0:20:35 Slide 4

0:27:27 Slide 5

0:34:18 Slide 6

0:41:10 Slide 7

0:48:01 Slide 8

0:54:53 Slide 9

1:01:44 Slide 10

1:08:36 Slide 11

## Lectures

1. [Statistics for Particle Physicists](https://invisiblenetwork.ai/learn/cern/3012353/c648ad330438), 1 h 9 min (CERN's player)