Encode particle physics data onto graph structures.
Project description
graphicle
Utilities for representing high energy physics data as graphs / networks.
Features
- Calculate affinity matrices from 4-momenta
- Produce adjacency matrices from the affinity
- k-nearest neighbours (weighted optional)
- fully connected
Installation
pip install graphicle
Coming soon
- Documentation
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
graphicle-0.1b2.tar.gz
(18.8 kB
view details)
Built Distribution
graphicle-0.1b2-py3-none-any.whl
(15.4 kB
view details)
File details
Details for the file graphicle-0.1b2.tar.gz.
File metadata
- Download URL: graphicle-0.1b2.tar.gz
- Upload date:
- Size: 18.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.0 CPython/3.9.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | d705b2854ea9d8f6b2a82e69b67ebdc6ff3291af5466a1ecd7adbc12c5d77a82 |
|
| MD5 | 474306cd79703ed8d39f9af976501ab4 |
|
| BLAKE2b-256 | ab9667a59aade16914bb3a65ecbb82bf55997a0a0ab32ce1a45ccf9afcb18871 |
Provenance
File details
Details for the file graphicle-0.1b2-py3-none-any.whl.
File metadata
- Download URL: graphicle-0.1b2-py3-none-any.whl
- Upload date:
- Size: 15.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.0 CPython/3.9.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 71af28df1e8617abcbb6c11b3e8ff273920b0815387a2d1e19af00036795585f |
|
| MD5 | 8faf4931472f74d4fcb2e907c59a5e01 |
|
| BLAKE2b-256 | d445b1840442cc80342df722b754872fa84dd2bc9cd645d663100517815dff0a |
