Metadata-Version: 2.1
Name: gwas-tools
Version: 0.12.10
Summary: Utils functions to build a pipeline for scattered light noise hunting in gravitational waves detectors.
Home-page: https://github.com/stfbnc/gwas_tools.git
Author: Stefano Bianchi, Alessandro Longo, Guillermo Valdes
Author-email: stefanobianchi9@gmail.com
License: GPLv3.0
Project-URL: Bug Reports, https://github.com/stfbnc/gwas_tools/issues
Project-URL: Source, https://github.com/stfbnc/gwas_tools
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy (>=1.15)
Requires-Dist: gwpy
Requires-Dist: gwdetchar
Requires-Dist: MarkupPy
Requires-Dist: pytz
Requires-Dist: pandas
Requires-Dist: scipy
Requires-Dist: pyYAML
Requires-Dist: matplotlib
Requires-Dist: astropy
Requires-Dist: pytvfemd (>=0.3.12)

## gwas_tools
Utils functions to build a pipeline for scattered light noise hunting in gravitational waves detectors.

#### Version

v0.12.10

####  Requirements

- Python 3.7+
- [requirements.txt](requirements.txt)

#### Description
- `algorithms`
  - main algorithms of the currently used pipelines.
- `automation`
  - functions to create the main scripts to be executed on distributed computing systems.
- `helpers`
  - functions to get inputs for the pipeline, and classes to build a `.sub` and a `.dag` file to submit the pipeline.
- `html`
  - class to build a html page to summarize the output of the pipeline.
- `summary_pages`
  - functions to create the summary pages of the currently used pipelines.
- `utils`
  - utils functions to process signals, manage output files, and plot pipeline's results.

#### References
- [Application to LIGO data](https://iopscience.iop.org/article/10.1088/1361-6382/aa8e6b/meta) 
- [Application to Virgo data](https://iopscience.iop.org/article/10.1088/1361-6382/ab9719/meta) 
- [Omega algorithm](https://dspace.mit.edu/handle/1721.1/34388)
- [Time varying filter EMD](https://www.sciencedirect.com/science/article/pii/S0165168417301135?casa_token=e9Q5Bi85etAAAAAA:ow686chMeVLYYF4anHGXpMx_dNSzej0s3x9PJuCuyt1zYyyyYLUsOOw6VSWXQJgZQPgAUitW3IU)
- [Adaptive time series analysis](https://www.jstor.org/stable/pdf/53161.pdf?casa_token=ZqoSg2aXRR8AAAAA:c-vPcJu5-ymb9Z_zZmr3pD1twXy3pb7nBxyUN0oUUoJfKgVLX1MIQhGqovwLsNJFQSCDrXa3k7GFJPxfIJhkwAXO650sblUb3mnVphXSjg73yUpczlEj)

