Statistics and Discoveries at the LHC

author: Glen Cowan, Department of Physics and Astronomy, University of London
published: Oct. 11, 2011,   recorded: June 2010,   views: 3197
released under terms of: Creative Commons Attribution Non-Commercial Share Alike (CC-BY-NC-SA)
Categories

Related content

Report a problem or upload files

If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
Lecture popularity: You need to login to cast your vote.
  Delicious Bibliography

 Watch videos:   (click on thumbnail to launch)

Watch Part 1
Part 1: Lecture 1 58:13
!NOW PLAYING
Watch Part 2
Part 2: Lecture 2 1:00:50
!NOW PLAYING
Watch Part 3
Part 3: Lecture 3 59:31
!NOW PLAYING
Watch Part 4
Part 4: Lecture 4 1:07:47
!NOW PLAYING

Description

The lectures will give an introduction to statistics as applied in particle physics and will provide all the necessary basics for data analysis at the LHC. Special emphasis will be placed on the the problems and questions that arise when searching for new phenomena, including p-values, discovery significance, limit setting procedures, treatment of small signals in the presence of large backgrounds. Specific issues that will be addressed include the advantages and drawbacks of different statistical test procedures (cut-based, likelihood-ratio, etc.), the look-elsewhere effect and treatment of systematic uncertainties.

Link this page

Would you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !

Reviews and comments:

Comment1 Korio, January 22, 2024 at 6:23 a.m.:

Hello! I have a very great interest in this topic. I want to make an application that will help me calculate the chances of teams winning in sports matches.


Comment2 Harris, January 22, 2024 at 8:40 p.m.:

Hello! I watched the entire lecture and realized that I had hit the nail on the head. I myself am trying to understand how to speed up data processing for sports events. there are people who do this professionally - https://mel-bet.ug/en However, I do not have such skills and I need additional software to understand which Ugandan football club will reach the final.

Write your own review or comment:

make sure you have javascript enabled or clear this field: