soapcw


Namesoapcw JSON
Version 0.2.4 PyPI version JSON
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SummarySOAP is a rapid algorithm to search for continuous sources of gravitational waves, with a wider application to long duration narrowband signals.
upload_time2023-07-19 15:33:35
maintainer
docs_urlNone
author
requires_python
licenseMIT License
keywords gravitational cw soap ligo gravitational waves pulsars neutron stars continuous waves
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            

[![PyPI](https://img.shields.io/pypi/v/soapcw)](https://pypi.org/project/soapcw/)
[![Documentation Status](https://readthedocs.org/projects/soapcw/badge/?version=latest)](https://soapcw.readthedocs.io/en/latest/?badge=latest)
![tests](https://github.com/jcbayley/soapcw/actions/workflows/test.yml/badge.svg)


<img src="https://raw.githubusercontent.com/jcbayley/soapcw/main/logo/drawing.png" alt="Logo" width="30%"/>

# SOAP

SOAP: Applying the Viterbi algorithm to search for sources
of continuous gravitational waves.

<img src="https://raw.githubusercontent.com/jcbayley/soapcw/main/src/pipeline/images/vitmap_ex.png" alt="Vitmap"/>

SOAP is primarily developed to search for continuous sources of
gravitational waves, however, has a more general application to search
for and long duration weak signal.

This package also includes tools to load in standard short Fourier transforms (SFTs) and prepare them for usage with the core SOAP search.


* Free software: MIT license
* Documentation: https://soapcw.readthedocs.io/en/latest/

* old LIGO hosted package (!!!!!no longer maintained!!!!): https://git.ligo.org/joseph.bayley/soapcw/ 

# Publications

* Methods paper: https://journals.aps.org/prd/abstract/10.1103/PhysRevD.100.023006
* CNN followup paper: https://journals.aps.org/prd/abstract/10.1103/PhysRevD.102.083024
* Parameter estimation paper: https://journals.aps.org/prd/abstract/10.1103/PhysRevD.106.083022 


# Features
#


# TODO

* robustly include three detectors 

# Credits

This package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.

.. _Cookiecutter: https://github.com/audreyr/cookiecutter
.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage

            

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