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.dev303-cp312-cp312-manylinux_2_28_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 511695239a215cd25accad4fb8468716bcaafc3e37173539a4da4b185b5b0399 |
|
MD5 | 41a30bc2fee93fb4a3baae401aba62e3 |
|
BLAKE2b-256 | a511d4fc9b71c8a3e5ec1d9806a8e7f013e13be4b83a9cbec5b63e78c49e6d26 |
Hashes for eoshep-1.0.12.dev303-cp311-cp311-manylinux_2_28_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | cdfa60a380113a5d0f21ad9541ed47ed9247c1ee2a538a245464efe25d2f905a |
|
MD5 | 306ba506251fff3885168bc40dd6b5eb |
|
BLAKE2b-256 | 78236307cf57465765329942b11b7e8a3ae399633189a40830a280eb63290f3e |
Hashes for eoshep-1.0.12.dev303-cp310-cp310-manylinux_2_28_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | f416e5c30bb3f0f50f440e6306d3a79e12a32ab8ceb630ee251aeef24857c889 |
|
MD5 | 4bc51504714f9749a444f71f9e019ea0 |
|
BLAKE2b-256 | 476e7d1157236871bdb1f1cf65d798f99cc764f5c81100b2916e79bd5d937c4e |
Hashes for eoshep-1.0.12.dev303-cp39-cp39-manylinux_2_28_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7fab901ba68b58a27b5b8e331b9c9d86017fa9e620afd04c1121ffc0c1b401ad |
|
MD5 | 2c4d3d20e6fa6dc89ecb1f178e82d657 |
|
BLAKE2b-256 | f8103fb6c2e0b08300bf9daf29149569e7fa1c4df0b5b5affb012fb96f2d71ab |
Hashes for eoshep-1.0.12.dev303-cp38-cp38-manylinux_2_28_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 6132c06d278056614fa7639c5e5926bffa3e2842354f359ddb40524c5be85493 |
|
MD5 | a7cf61f5533f6db6039b71b432ccec78 |
|
BLAKE2b-256 | 5541f93c445de874212922219ed7f63adf2d27245113e1d328335e321e20ecf9 |