Skip to main content

Hierarchical Adaptive Tiling Scheme Catalog

Project description

HATS

Template

PyPI Conda

GitHub Workflow Status codecov Read the Docs benchmarks

Hierarchical Adaptive Tiling Scheme

A HATS catalog is a partitioning of objects on a sphere. Its purpose is for storing data from large astronomy surveys, but could probably be used for other use cases where you have large data with some spherical properties.

Check out our ReadTheDocs site for more information on partitioning, installation, and contributing.

See related projects:

Contributing

GitHub issue custom search in repo

See the contribution guide for completed installation instructions and contribution best practices.

Citation

If you use HATS in your work, please cite the conference proceedings: "Using LSDB to enable large-scale catalog distribution, cross-matching, and analytics".

If you use Rubin Data Preview 1 (DP1) with HATS, please also cite: "Variability-finding in Rubin Data Preview 1 with LSDB".

Find full citation information here.

Acknowledgements

This project is supported by Schmidt Sciences.

This project is based upon work supported by the National Science Foundation under Grant No. AST-2003196.

This project acknowledges support from the DIRAC Institute in the Department of Astronomy at the University of Washington. The DIRAC Institute is supported through generous gifts from the Charles and Lisa Simonyi Fund for Arts and Sciences, and the Washington Research Foundation.

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

hats-0.9.2.tar.gz (5.2 MB view details)

Uploaded Source

Built Distribution

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

hats-0.9.2-py3-none-any.whl (99.2 kB view details)

Uploaded Python 3

File details

Details for the file hats-0.9.2.tar.gz.

File metadata

  • Download URL: hats-0.9.2.tar.gz
  • Upload date:
  • Size: 5.2 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for hats-0.9.2.tar.gz
Algorithm Hash digest
SHA256 23dcf54617ec962ee13298849a1734a42645ba1fb8bf2420200c7082be990d94
MD5 f438ca0be96baa29996644746d2a4ef2
BLAKE2b-256 15c344b91fab271f9a631a569d18e5b72f73096f01ce746a49cc9da2fd985d8a

See more details on using hashes here.

Provenance

The following attestation bundles were made for hats-0.9.2.tar.gz:

Publisher: publish-to-pypi.yml on astronomy-commons/hats

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file hats-0.9.2-py3-none-any.whl.

File metadata

  • Download URL: hats-0.9.2-py3-none-any.whl
  • Upload date:
  • Size: 99.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for hats-0.9.2-py3-none-any.whl
Algorithm Hash digest
SHA256 211e8dd04435731b84ebd1e6e59977d55d889f10e4127bbf405bbcf7835521d4
MD5 e2aa30e626150e199f2c351ecb0d29e9
BLAKE2b-256 b8bc5f1a0b17ad1fbba2dd0f5b532f1aeeb18cc34d52340125fd7f29c5c28cce

See more details on using hashes here.

Provenance

The following attestation bundles were made for hats-0.9.2-py3-none-any.whl:

Publisher: publish-to-pypi.yml on astronomy-commons/hats

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

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