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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.
maddmhep/maddm
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| MadDM v3.0 |
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| A MadGraph5_aMC@NLO plugin. |
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== 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
About
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.