Skip to main content

Fast calibration implementation exploiting complex optimisation.

Project description

QuartiCal

QuartiCal is the successor to CubiCal. It implements a suite of fast radio interferometric calibration routines exploiting complex optimisation. Unlike CubiCal, QuartiCal allows for any available Jones terms to be combined. It can also be deployed on a cluster (documentation under construction).

Installation

QuartiCal can be installed using pip: pip install quartical.

Documentation

Documentation is available on readthedocs.

Public Beta

QuartiCal is now in public beta! That means we want you to use (and break) it as much as possible. Any bugs and feature requests can be submitted via the issue tracker.

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

quartical-0.1.5.tar.gz (104.6 kB view details)

Uploaded Source

Built Distribution

quartical-0.1.5-py3-none-any.whl (144.5 kB view details)

Uploaded Python 3

File details

Details for the file quartical-0.1.5.tar.gz.

File metadata

  • Download URL: quartical-0.1.5.tar.gz
  • Upload date:
  • Size: 104.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for quartical-0.1.5.tar.gz
Algorithm Hash digest
SHA256 45c7c05a1547d9bf28498b67ad23b26a5913ff9321d54328310ddcba38c728eb
MD5 16323e5dc52064a0472321731f7e11e1
BLAKE2b-256 735ab5814d9da9e20216f3bb97ee93a162f9f4cfb3ffaa22fd018341dee3d938

See more details on using hashes here.

File details

Details for the file quartical-0.1.5-py3-none-any.whl.

File metadata

  • Download URL: quartical-0.1.5-py3-none-any.whl
  • Upload date:
  • Size: 144.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for quartical-0.1.5-py3-none-any.whl
Algorithm Hash digest
SHA256 8ade3ed20cf848b010f170d0ebf9dc1a6c8b14643e8f184e842027b5e9d0ed24
MD5 f92928d69cbd9c10d22ae9147bf01bfa
BLAKE2b-256 876411b5dfbc1f89616883abdcf67701defb90e72f79fbe317d79bb42a887e35

See more details on using hashes here.

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