Skip to main content

Database for GPD physics

Project description

Database for studying Generalised Parton Distributions (GPDs)

About: The project aims to provide a database for studying GPDs. It is a collaborative effort by scientists working in this field.

Mission: The mission is to provide open access to GPD datasets for researchers around the world, facilitating easier integration of existing and new data into phenomenological analyses. By improving reproducibility, the project aims to help the research community fully adopt open-science standards. In addition, the database can serve as an aggregation point to store benchmarks for theoretical developments. This open, accessible resource is designed to accelerate research in the field of GPDs.

Key Features: The proposed database is a streamlined, efficient resource for storing both experimental and lattice-QCD data relevant to GPD research. Using a lightweight format based on YAML serialization, the database easily captures essential analysis details, including replica values for advanced statistical work. It supports seamless integration with analysis codes through Python and C++ interfaces, making it a practical tool for researchers working on various aspects of GPD phenomenology.

License: This project is strictly for the non-profit scientific use, and is distributed under GPL-3.0 license.

Resources:

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

gpddatabase-1.1.1.tar.gz (680.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

gpddatabase-1.1.1-py3-none-any.whl (719.7 kB view details)

Uploaded Python 3

File details

Details for the file gpddatabase-1.1.1.tar.gz.

File metadata

  • Download URL: gpddatabase-1.1.1.tar.gz
  • Upload date:
  • Size: 680.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.9.23

File hashes

Hashes for gpddatabase-1.1.1.tar.gz
Algorithm Hash digest
SHA256 c73e2c3e106bf8503f9b1278f6865902dedb67bfbabfd2b60efb71c8ae6997f8
MD5 079d15e71f18e10bae757d9e8e71c442
BLAKE2b-256 826622444bdc6395eded9ab609444b00c35f171fc888890ef0675bf7163150b6

See more details on using hashes here.

File details

Details for the file gpddatabase-1.1.1-py3-none-any.whl.

File metadata

  • Download URL: gpddatabase-1.1.1-py3-none-any.whl
  • Upload date:
  • Size: 719.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.9.23

File hashes

Hashes for gpddatabase-1.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 043519d274e560e98e4164030aa09313e1273471d66a11c151f49df17261dc4e
MD5 fc12d20ad9a43b3e7719b370e215f336
BLAKE2b-256 f2d1ec7bd3a5f023848df813aae29153830831fd60eec9e410c7281cd5de6f21

See more details on using hashes here.

Supported by

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