An introductory tutorial of tools for high-energy physics beyond the Standard Model:

• Lecture A: automated calculation of Feynman diagrams with FeynArts / FormCalc / LoopTools / FeynRules
• Lecture B: Monte Carlo simulation of collider physics with MadGraph5_aMC@NLO

Lecture slides are available at http://misho104.github.io/FeynLecture/.

See Lecture slides.

Lecture A uses the following tools:

• FeynArts: http://www.feynarts.de/
• FormCalc: http://www.feynarts.de/formcalc/
• LoopTools: http://www.feynarts.de/looptools/
• FeynRules: http://feynrules.irmp.ucl.ac.be/

Lecture B uses

• MadGraph5_aMC@NLO: https://launchpad.net/mg5amcnlo

This tutorial is tested under:

• Mathematica 10.3.0.0
• FeynArts 3.9 (23 Sep 2015)
• FormCalc 9.4 (7 Jun 2016)
• LoopTools v2.13 (28 Sep 2016)
• FeynRules v2.0.31 (11 Nov 2014)
• MadGraph5_aMC@NLO v2.4.3

On this tutorial set, please feel free to contact me via GitHub or via my website.

On the packages, see the manuals:

• FeynArts: http://www.feynarts.de/FA3Guide.pdf
• FormCalc: http://www.feynarts.de/formcalc/FC8Guide.pdf
• LoopTools: http://www.feynarts.de/looptools/LT28Guide.pdf
• FeynRules: http://feynrules.irmp.ucl.ac.be/attachment/wiki/WikiStart/Manual_a4.pdf

• /docs contains the source code of the lecture slides.
• readme.md is the readme.
• MathematicaBasic.* are material files for Mathematica precourse tutorial.
• Lecture1-1.nb etc. are the lecture note of Lecture A-1 to A-3.
• phi4.fr and phi4_feynrules.wl are a model file of φ^4 theory for FeynRules used in Lecture A-2.

Program codes are licensed under MIT license (*.nb, *.fr, and MathematicaBasic.*), except for

• models/SM/*.rst, models/SM/SM.fr, which are taken from FeynRules package.

Lecture notes are licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Permissions beyond the scope of this license may be available; see http://www.misho-web.com/ to contact them.

• Feb 2012: Lecture A is given at Osaka University based on v20120210
• Oct 2016: Lecture A+B is given at Yonsei University based on v20161011

Python codes in the lecture slides are automatically tested by Travis CI: