Skip to content
/ mute Public
forked from wjwoodley/mute

A lightweight code for calculations of muon fluxes and intensities with atmospheric settings from MCEq

License

Notifications You must be signed in to change notification settings

lpyras/mute

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

18 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

MUTE

DOI

MUTE (MUon inTensity codE) is a computational tool for calculating atmospheric muon fluxes and intensities underground. It makes use of the state-of-the-art codes MCEq, to calculate surface fluxes, and PROPOSAL, to simulate the propagation of muons through rock and water.

Installation

MUTE can be installed via pip:

pip install mute

This will install most of the requirements, including MCEq.

Additional Requirements

In order to generate custom survival probability tensors, PROPOSAL should be installed. Because it requires compilation, it needs to be installed separately (see detailed installation instructions here):

pip install proposal==7.4.2

MUTE has been tested with PROPOSAL v7.4.2; earlier or later versions are not guaranteed to work. Environment set-up help for PROPOSAL installation on a Mac can be found here.

Getting Started

For a basic example and a detailed description of how to use MUTE, see the Tutorial. For further examples, see the examples.

Citation

Please cite https://inspirehep.net/literature/1927720.

The current version of MUTE can be cited with the Zenodo DOI.

The citations for the models and propagation tools used by MUTE can be found in the MCEq and PROPOSAL documentation.

Authors

William Woodley

Contributors

Anatoli Fedynitch and Marie-Cécile Piro

License

MUTE is licensed under the BSD 3-Clause License (see LICENSE).

About

A lightweight code for calculations of muon fluxes and intensities with atmospheric settings from MCEq

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 100.0%