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Maddm

MadDM is a numerical tool designed to compute dark matter relic abundance, dark matter nucleus scattering rates, and dark matter indirect detection predictions in a generic model. Based on the existing MadGraph 5 architecture, MadDM is easily integrable into any MadGraph collider study.

Install / Use

/learn @maddmhep/Maddm
About this skill

Quality Score

0/100

Category

Design

Supported Platforms

Universal

README

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        |                    MadDM v3.0                     |
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         ###\\####//#####              Launchpad:  launchpad.net/maddm
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    #########//##\\############                   arXiv:1308.4955
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        ====================================================
        |            A MadGraph5_aMC@NLO plugin.            |
        ====================================================

== What is new in Maddm v3? Here are the main new features of MadDm version3 1. Indirect detection (different speed/precision mode are available) 2. experimental constraint module (indirect and direct detection) 3. possibility of running multinest (auto-scan method) 4. built-in tutorial

== Requirements

  • The requirement for the code are * MadGraph5_aMC@NLO (version 2.6.2 or later) * gcc * Python2.7 * numpy * scipy
  • Optional dependencies * pymultinest * Dragon * Pythia8

== Installing/learning the code * You should install that package within the PLUGIN directory of MadGraph5_aMC@NLO * You should copy the file maddm under the ./bin directory of MadGraph5_aMC@NLO * You can then run that executable. -> This will open a shell prompt. t To learn the main feature type "tutorial" and follow the instructions

View on GitHub
GitHub Stars7
CategoryDesign
Updated14d ago
Forks3

Languages

Python

Security Score

70/100

Audited on Mar 23, 2026

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