We will have tutorials on several (re)interpretation tools during the workshop. The tutorials will be more efficient if the participants install the tools before the tutorial sessions. Please find the relevant information below for the tools represented in this workshop (in alphabetical order)
CheckMate:
Installation instructions:
http://checkmate.hepforge.org/tutorial/ver2/start.php
Input files for the tutorial:
https://www.dropbox.com/s/jpsatk0gnimbjov/tutorial_CM.tar.gz?dl=0
GAMBIT/ColliderBit:
Download from:
https://www.hepforge.org/downloads/gambit
Detailed instructions here:
https://www.dropbox.com/s/1ike2w6erix1bdn/GAMBIT_install.txt?dl=0
MadAnalysis:
Download link:
https://www.dropbox.com/s/mehd358qnwbdfsg/ma5_v1.6.tgz?dl=0
Setup information:
http://madanalysis.irmp.ucl.ac.be/wiki/PublicAnalysisDatabase
Basic instructions on implementing an analysis:
https://madanalysis.irmp.ucl.ac.be/wiki/WritingAnalyses
Open data:
Note that this tutorial will be a demonstration, since a hands-on session would be impossible at the given time slot. If you are interested in exploring open data, please follow the links below:
LHC open data page: opendata.cern.ch
The application works with any computer and any operating system, but the Research
application takes a few hours real time to get started, and (with a good
internet connection) about a day to get any "real" result. Prior to working with the research application, one needs to install VirtualBox (see opendata.cern.ch --> Research --> install your virtual machine)
Complementary instructions:
https://twiki.cern.ch/twiki/bin/view/CMSPublic/CMSPublicData
Rivet/Contur:
Installation instructions for Rivet:
https://rivet.hepforge.org/trac/wiki/GettingStarted
Installation instructions for Contur:
https://contur.hepforge.org/codedocs/running.html
Rivet is also installed automatically by running the Herwig7 bootstrap
script, which can be helpful, since Contur's instructions are
currently based on using Hweig for BSM MC generation:
https://herwig.hepforge.org/tutorials/index.html
SModelS:
http://smodels.readthedocs.io/en/latest/Installation.html
"Try: pip install smodels" (should work for python 2 and 3).If that does not work, see:
http://smodels.readthedocs.io/en/latest/Installation.html
