Skip to main content

Encode particle physics data onto graph structures.

Project description

graphicle

Tests Code style: black

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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

graphicle-0.1.0.tar.gz (22.8 kB view details)

Uploaded Source

File details

Details for the file graphicle-0.1.0.tar.gz.

File metadata

  • Download URL: graphicle-0.1.0.tar.gz
  • Upload date:
  • Size: 22.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for graphicle-0.1.0.tar.gz
Algorithm Hash digest
SHA256 8f3918b27197c7ea956cf5f65b6191536a04f14679e539c64f7a384372246963
MD5 1283afdbce7812a11657c8727c16daa5
BLAKE2b-256 efda819ea07aef421007255771a954999d2d890f7d6dc4b1193ef209cce5ce0e

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page