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-1.0.11.dev101-cp312-cp312-manylinux_2_28_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | e4730cfc3e39ad639804a1e70808ec6f3a22af720a3fd98a39b2c21de910d564 |
|
MD5 | 167c674de18ce73e1883d8d24209eb3a |
|
BLAKE2b-256 | 637c607316d2456a9b4eb362d01419362dcd28d566cf704e03ebac3925b8c629 |
Hashes for eoshep-1.0.11.dev101-cp311-cp311-manylinux_2_28_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 774bffab20d14ce23cdc66dff1505890ee9b548f1cce3eff0ca108cd42916775 |
|
MD5 | 0005ce202b8420952d3f9fbe72638744 |
|
BLAKE2b-256 | dfbc12ad4213c5008d0513188f5a6da1bef82db494b6f6a1dadf4c93a2282341 |
Hashes for eoshep-1.0.11.dev101-cp310-cp310-manylinux_2_28_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 61b54fe03775144bbf966b7c86b94e3e010c5bfd122c1267a8e6a2125d9ac695 |
|
MD5 | ae1c206964f500ed3d7c0aeade265b9c |
|
BLAKE2b-256 | 0b686e2870fd1d55805b41bdc11c3c81d5dee87de8f02935b3d1593121ace6d7 |
Hashes for eoshep-1.0.11.dev101-cp39-cp39-manylinux_2_28_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 5b0669c3d6cc09ddc1d634a75d077d260275d95948c3eaa6690e9962ba126124 |
|
MD5 | d13f7cd6e63c502110a902893f4475a6 |
|
BLAKE2b-256 | 295aa3ca9d141155f40e18b508993739aac9b3c5b656be3a8ab74870788790de |
Hashes for eoshep-1.0.11.dev101-cp38-cp38-manylinux_2_28_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | a38b1175313e8e83cfff10d06ffa5d72f7073cceab5ff3e48ff4fe0f995617e3 |
|
MD5 | 4165d32687b37535015278ef29f50ee1 |
|
BLAKE2b-256 | b8df61d65b6ca720b3f179f551a437f2720a2c5806db94127cad73149f9d3ba4 |