Coder Social home page Coder Social logo

mjkirk / flavio Goto Github PK

View Code? Open in Web Editor NEW

This project forked from flav-io/flavio

0.0 1.0 0.0 4.11 MB

A Python package for flavour physics phenomenology in the Standard model and beyond

Home Page: http://flav-io.github.io/

License: MIT License

Python 95.56% Makefile 4.42% Shell 0.02%

flavio's Introduction

Build Status Coverage Status DOI

flavio – flavour phenomenology in the Standard model and beyond

flavio is a Python package to compute observables in flavour physics, electroweak precision tests, Higgs physics, and other precision tests of the Standard Model, both in the Standard Model and in the presence of new physics encoded in Wilson coefficients of dimension-6 operators.

Project web site

Further information and the package documentation can be found at:

http://flav-io.github.io

This web site is built with Jekyll and hosted on Github pages. You can check out its source (or submit pull requests) at https://github.com/flav-io/flav-io.github.io.

Installation

See http://flav-io.github.io/docs/installation.html for instructions.

Bugs and feature request

Please submit questions, bugs and feature request using Github's issue system rather than by E-mail. Thanks!

Contributors

Maintainer:

  • Peter Stangl (@peterstangl)

Original author:

  • David M. Straub (@DavidMStraub)

Contributors (in alphabetical order):

  • Jason Aebischer
  • Jorge Alda Gallo
  • Frederik Beaujean
  • Adam Falkowski
  • Tobias Felkl
  • Ece Gürler
  • Matěj Hudec
  • Matthew Kirk
  • Jonathan Kriewald
  • Jacky Kumar
  • Christoph Langenbruch
  • Christoph Niehoff
  • Markus Prim
  • Albert Puig
  • Méril Reboud
  • Stefanie Reichert
  • Niladri Sahoo
  • Jakub Šalko
  • Michael Schmidt
  • Aleks Smolkovič
  • Peter Stangl
  • Olcyr Sumensari
  • Felicia Volle
  • Zeren Simon Wang

License

flavio is released under the MIT license.

Citation

If you use flavio in a scientific publication, please cite:

D. Straub, "flavio: a Python package for flavour and precision phenomenology in the Standard Model and beyond", arXiv:1810.08132

This paper contains many references to results in the literature that went into the code. Please also consider citing the relevant original literature, where the real work was done.

The flavio repository itself is also citable via a DOI provided by Zenodo:

DOI

flavio's People

Contributors

afalkows017 avatar alekssmolkovic avatar apuignav avatar bednya avatar broko55 avatar christophniehoff avatar davidmstraub avatar felicia56 avatar gurler avatar hoodyn avatar jackypheno avatar jasonaebischergit avatar jorge-alda avatar langenbruch avatar markusprim avatar micha-a-schmidt avatar mjkirk avatar mreboud avatar nsahoo avatar olcyr avatar peterstangl avatar whereforebound avatar wzeren avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.