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Weighted wavelet z-transform (WWZ) analysis package in python3

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ascl:2310.003

wwz

A python3 weighted wavelet z-transform (WWZ) analysis package.

Requirements

This script uses the following standard python packages:

  • datetime
  • pickle
  • sys

This script uses the following python packages:

  • numpy
  • scipy

The plotting script additionally uses:

  • matplotlib
  • os

Getting Started

Get the python script:

$ git clone https://github.com/skiehl/wwz.git

Open the jupyter notebook Documentation.ipynb for a demonstation of the code. Either use jupyter lab:

$ jupyter lab

Or jupyter notebook:

$ jupyter notebook Documentation.ipynb

Usage

Usage of the package is demonstrated in the jupyter notebook Documentation.ipynb. A complete code documentation is given in html/.

Citation

Bibtex:

@MISC{2023ascl.soft10003K,
       author = {{Kiehlmann}, Sebastian and {Max-Moerbeck}, Walter and {King}, Oliver},
        title = "{wwz: Weighted wavelet z-transform code}",
     keywords = {Software},
 howpublished = {Astrophysics Source Code Library, record ascl:2310.003},
         year = 2023,
        month = oct,
          eid = {ascl:2310.003},
        pages = {ascl:2310.003},
archivePrefix = {ascl},
       eprint = {2310.003},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2023ascl.soft10003K},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

This software package is indexed on ASCL and ADS.

License

wwz is licensed under the BSD 3-Clause License - see the LICENSE file.

References

The WWZ method was introduced by Foster, 1996.

Alternatives

Some other python implementations of the WWZ method are: