Skip to main content

Evaluation framework for noise mitigation methods and implementations of different static and adaptive filtering techniques.

Project description

FraNC - Framework for Noise Cancellation in gravitational wave detection

Test status Linting status Static type check status

A framework to develop and evaluate noise cancellation techniques. Includes python implementations of different static and adaptive filtering techniques. The techniques for the prediction of a correlated signal component from witness signals provide a unified interface.

Documentation, Development guide, Contributors

Install

From pypi: pip install franc

From repository: pip install .

From repository (editable): pip install hatchling ninja && make ie

Compatibility

This package is intended to be used with a recent numpy release. Support for numpy back to 1.26.4 is tested and should work.

Automated checks during the development process are only performed for linux. That makes it more likely for issues to slip through on windows, so switching to linux or mac might be a solution to resolve issues. Please open an entry on the github issue tracker if you find something that does not work.

License

Copyright (C) 2025 Tim J. Kuhlbusch et al.

    This program is free software: you can redistribute it and/or modify
    it under the terms of the GNU General Public License as published by
    the Free Software Foundation, either version 3 of the License, or
    (at your option) any later version.

    This program is distributed in the hope that it will be useful,
    but WITHOUT ANY WARRANTY; without even the implied warranty of
    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
    GNU General Public License for more details.

    You should have received a copy of the GNU General Public License
    along with this program.  If not, see <https://www.gnu.org/licenses/>.

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

franc-0.3.4.tar.gz (117.3 kB view details)

Uploaded Source

File details

Details for the file franc-0.3.4.tar.gz.

File metadata

  • Download URL: franc-0.3.4.tar.gz
  • Upload date:
  • Size: 117.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for franc-0.3.4.tar.gz
Algorithm Hash digest
SHA256 4353fe6b5e07022c8681a366d94ce9bef02f15384a9d522586532bd41d9f989a
MD5 140afac036fef7a9b27d24442dc955e7
BLAKE2b-256 f42789592b7cfb3fe6a213fca6e019612efe736b8cc31416dca428787d7dcbd5

See more details on using hashes here.

Provenance

The following attestation bundles were made for franc-0.3.4.tar.gz:

Publisher: python-publish.yml on NewtonianNoise/FraNC

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