OmniFold, a library to perform unbinned and high-dimensional unfolding for HEP.
Project description
Pip installable version of OmniFold
This repository contains simple examples of implementing the OmniFold algorithm originally described in Phys. Rev. Lett. 124 (2020) 182001, 1911.09107 [hep-ph]. The code for the original paper can be found at this repository, which includes a binder demo. This repository was created to maintain a simple version of the OmniFold algorithm that can be pip installed as:
pip install unbinned-unfold==0.1.7
For a simple example see the notebooks OmniFold_example.ipynb and OmniFold_example_pc.ipynb
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 Distribution
omnifold-0.1.4.tar.gz
(11.7 kB
view details)
Built Distribution
omnifold-0.1.4-py3-none-any.whl
(13.1 kB
view details)
File details
Details for the file omnifold-0.1.4.tar.gz.
File metadata
- Download URL: omnifold-0.1.4.tar.gz
- Upload date:
- Size: 11.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.9.18
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | ae1d543c643993b68463af2431e573cd0a6187991dc386203cf1b8244be6f885 |
|
| MD5 | 2dbfd398945a33be6882cbcdb3cb2b0d |
|
| BLAKE2b-256 | 8598e2b56187a657681bd003919faf5f7d58999abcefcddeb7d2859f2c4a0f8b |
File details
Details for the file omnifold-0.1.4-py3-none-any.whl.
File metadata
- Download URL: omnifold-0.1.4-py3-none-any.whl
- Upload date:
- Size: 13.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.9.18
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 630280e3f0fe0f1fcbf81b7fe815e06a2c377e8574a4783b67bafb8d4494fd68 |
|
| MD5 | 0abf030caf281425a04970aa5d673d71 |
|
| BLAKE2b-256 | 6d40ff3d78cd881f963df004185c6fc8ef6e3f3e53539e7ce062ce2b7cda6d87 |
