Skip to main content

Transform angular power spectra and correlation functions

Project description

transformcl

Transform angular power spectra and correlation functions.

This is a minimal Python package for transformations between angular power spectra and correlation functions. It is currently limited to the spin zero case.

The package can be installed using pip:

pip install transformcl

Then import the package to use the functions:

import transformcl
t = transformcl.theta(cl.size)
ct = transformcl.corr(cl)

For more information, please see the documentation.

Current functionality covers the absolutely minimal use case. Please open an issue on GitHub if you would like to see anything added.

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

transformcl-2025.1.tar.gz (4.8 kB view details)

Uploaded Source

Built Distribution

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

transformcl-2025.1-py3-none-any.whl (3.5 kB view details)

Uploaded Python 3

File details

Details for the file transformcl-2025.1.tar.gz.

File metadata

  • Download URL: transformcl-2025.1.tar.gz
  • Upload date:
  • Size: 4.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.8

File hashes

Hashes for transformcl-2025.1.tar.gz
Algorithm Hash digest
SHA256 7d9dafee8fe380a66da5131daa9ebf0aa37e002679ad8a0282f25c77313ad6c5
MD5 ef3a33a0bb28dce4c25d0b18579b0e0b
BLAKE2b-256 1e311b051f17ef6ec32aa67de0df7b4680d0dc35c9534721c068e92689d7caaa

See more details on using hashes here.

Provenance

The following attestation bundles were made for transformcl-2025.1.tar.gz:

Publisher: release.yml on glass-dev/transformcl

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

File details

Details for the file transformcl-2025.1-py3-none-any.whl.

File metadata

  • Download URL: transformcl-2025.1-py3-none-any.whl
  • Upload date:
  • Size: 3.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.8

File hashes

Hashes for transformcl-2025.1-py3-none-any.whl
Algorithm Hash digest
SHA256 c0c07e4c32c0d1a3e3f7b3e25fdcc4270197ed6e936597e348cb91c223ff5cf0
MD5 e66bb2f77a2909c49aee403b5d992a8b
BLAKE2b-256 d8b37222356f8d1cfa20d6e37dd252a9e11028e71b43210e72d3ac771dc727fb

See more details on using hashes here.

Provenance

The following attestation bundles were made for transformcl-2025.1-py3-none-any.whl:

Publisher: release.yml on glass-dev/transformcl

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