This repository contains code use for several years for each CMS Data Analysis School, and therefore there is one branch for the specific CMSDAS school.
If you want to follow the CMSDAS short jet exercise check the website: http://cms-jet.github.io/JMEDAS/
The latest version of the school is on January 2024 and therefore use the branch DASJan2024
:
git clone [email protected]:cms-jet/JMEDAS.git -b DASJan2024
This is the master branch which contains all the code used in several CMSDAS schools. This means that many of the code is obsolete or uses tools that are not longer recommended by CMS.
The website uses the carpentry software. If you want to modify it, use the gh-pages
branch and follow the recommendations from the carpentry style.
The latest version of the exercises, for Jan 2024, use jupyter notebooks
, nanoAOD
and coffea
. This is located under notebooks/master/
.
All the previous notebooks are stored under notebooks/obsolete/
.
The code in interface/
, plugins/
, scripts/
and src/
, is the code use under CMSSW using miniAOD. These scripts are not longer used by kept here for documentation.
This tutorial is intended to provide you with the basic you need in order to deal with jets in your analysis. We start with the basics of what is a jet, how are they reconstructed, what algorithms are used, etc. Then we give examples with scripts on how to access jets and use them in your analysis frameworks, including corrections and systematics. In the second part of the exercise, we examine jet substructure algorithms, which have many uses including identification of hadronic decays of heavy SM particles like top quarks, W, Z, and H bosons, as well as mitigation of pileup and others.
The tutorial is designed to be executed at cmslpc and followed in the JMEDAS 2024 website, where you find links to instructional slides and instructions that walk you through the exercises.