MadAnalysis 5, A User-Friendly Framework for Collider Phenomenology - INSPIRE

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MadAnalysis 5, A User-Friendly Framework for Collider Phenomenology

Eric Conte
(
- Haute Alsace U., GRPHE and
- Haute Alsace U.
)
,
Benjamin Fuks
(
- Strasbourg, IPHC and
- Strasbourg, IReS
)
,
Guillaume Serret
(
- Strasbourg, IPHC and
- Strasbourg, IReS
)

Jun, 2012

118 pages

Published in:

Comput.Phys.Commun. 184 (2013) 222-256

e-Print:

1206.1599 [hep-ph]

DOI:

10.1016/j.cpc.2012.09.009

Report number:

IPHC-PHENO-06

View in:

reference search664 citations

Citations per year

Abstract: (Elsevier)

We present MadAnalysis 5, a new framework for phenomenological investigations at particle colliders. Based on a C ++ kernel, this program allows us to efficiently perform, in a straightforward and user-friendly fashion, sophisticated physics analyses of event files such as those generated by a large class of Monte Carlo event generators. MadAnalysis 5 comes with two modes of running. The first one, easier to handle, uses the strengths of a powerful Python interface in order to implement physics analyses by means of a set of intuitive commands. The second one requires one to implement the analyses in the C ++ programming language, directly within the core of the analysis framework. This opens unlimited possibilities concerning the level of complexity which can be reached, being only limited by the programming skills and the originality of the user.

Note:

118 pages/ 5 figures/ 25 tables/ version accepted by CPC

Particle physics phenomenology
Monte Carlo event generators
hadron colliders
Hadron colliders
Monte Carlo
programming
interface
hadron: colliding beams
parton
CERN LHC Coll

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