EOS -- A HEP program for Flavor Observables
Project description
EOS - A software for Flavor Physics Phenomenology
EOS is a software package that addresses several use cases in the field of high-energy flavor physics:
- theory predictions of and uncertainty estimation for flavor observables within the Standard Model or within the Weak Effective Theory;
- Bayesian parameter inference from both experimental and theoretical constraints; and
- Monte Carlo simulation of pseudo events for flavor processes.
An up-to-date list of publications that use EOS can be found here.
EOS is written in C++20 and designed to be used through its Python 3 interface, ideally within a Jupyter notebook environment. It depends on as a small set of external software:
- the GNU Scientific Library (libgsl),
- a subset of the BOOST C++ libraries,
- the Python 3 interpreter.
For details on these dependencies we refer to the online documentation.
Installation
EOS supports several methods of installation. For Linux users, the recommended method is installation via PyPI:
pip3 install eoshep
Development versions tracking the master branch are also available via PyPi:
pip3 install --pre eoshep
For instructions on how to build and install EOS on your computer please have a look at the online documentation.
Contact
If you want to report an error or file a request, please file an issue here. For additional information, please contact any of the main authors, e.g. via our Discord server.
Authors and Contributors
The main authors are:
- Danny van Dyk danny.van.dyk@gmail.com,
- Frederik Beaujean,
- Christoph Bobeth,
- Carolina Bolognani carolinabolognani@gmail.com,
- Nico Gubernari nicogubernari@gmail.com,
- Meril Reboud merilreboud@gmail.com,
with further code contributions by:
- Marzia Bordone,
- Thomas Blake,
- Lorenz Gaertner,
- Elena Graverini,
- Stephan Jahn,
- Ahmet Kokulu,
- Viktor Kuschke,
- Stephan Kürten,
- Philip Lüghausen,
- Bastian Müller,
- Filip Novak,
- Stefanie Reichert,
- Eduardo Romero,
- Rafael Silva Coutinho,
- Ismo Tojiala,
- K. Keri Vos,
- Christian Wacker.
We would like to extend our thanks to the following people whose input and support were most helpful in either the development or the maintenance of EOS:
- Gudrun Hiller
- Gino Isidori
- David Leverton
- Thomas Mannel
- Ciaran McCreesh
- Hideki Miyake
- Konstantinos Petridis
- Nicola Serra
- Alexander Shires
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distributions
Hashes for eoshep-1.0.12.dev242-cp312-cp312-manylinux_2_28_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | dad221ff167fc6eca91a92756a89cfd55b2d76d2abc551b601d7ab0836eb13d7 |
|
MD5 | 04964f14219e9696b72f27f41675b2ad |
|
BLAKE2b-256 | 13e79aa3bbe3ec474e5e4d2378babcc890fa0cf26e9f8a2b7b52831bbb681819 |
Hashes for eoshep-1.0.12.dev242-cp311-cp311-manylinux_2_28_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 09e5b50bf887f558d5db55020302fe6c05fe6046c21360e0dc18de463724f30c |
|
MD5 | 643916e745dd7f9e0f44967322cf511c |
|
BLAKE2b-256 | 5b2cb0e7c87b8f11c36bc2c0728b82fadfd6d54479edc548c721591c93ff8be9 |
Hashes for eoshep-1.0.12.dev242-cp310-cp310-manylinux_2_28_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 8f7802059344c800748add3a3803e089e987d8eb399b703e8695f9fc224aa721 |
|
MD5 | 205f9bc763a97d3d3f23274fb31dd99f |
|
BLAKE2b-256 | e64451e42e53bdb8d4197d9b0039c9ee24867641e2311321aefc44efcb38c889 |
Hashes for eoshep-1.0.12.dev242-cp39-cp39-manylinux_2_28_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 03db650fc1a901bc996d9a3d3c5a9a5fa0e8da6c3f01d8977026261a39612e71 |
|
MD5 | c321e8716c707898951d169b68d86613 |
|
BLAKE2b-256 | ca7af58eeb3055623eb30ccc4b427a124bd701bafb20acef8b39e82c1431d40b |
Hashes for eoshep-1.0.12.dev242-cp38-cp38-manylinux_2_28_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | bb5882e118f67153be83a700e1d4a4f9401a6a2c21319d3a0d9ba8504c9078f5 |
|
MD5 | 0044368db466029666aac52d7d7c1ebb |
|
BLAKE2b-256 | bba26ab883733317ea02fe3b6a54dcfc2b438793f5dee335a1e8485a2903536c |