Welcome to p4TSA and py4TSA documentation

This library is a ‘spin-off’ of the C++ Noise Analysis Package (NAP). It is specific to data analysis for gravitational-wave signals, and in particular it is designed to work on the frame format the gravitational-wave detectors write.

The core library is written in C++ and should be compiled before using the python interface.

The Python interface to the library is py4TSA (you can call it pi’za)

Features

p4TSA is a minimal package containing ad hoc function to work with time series. It contains

  • Modern Spectral Analysis Estimators

  • Whitening in Time domain

  • Double Whitening in Time domain

  • Wavelet Decomposition: pyramidal transforms, uniform wavelet-packet levels and orthonormal local cosine bases

  • Cosine packets with the Coifman-Wickerhauser best-basis search

  • Wavelet Detection Filter (WDF), with a configurable basis competition

The pipeline

p4TSA provides the C++ core; the search pipeline that drives it lives in wdflow, which imports this library through its Python interface. wdflow supersedes the earlier wdf package: it carries forward the modules the real trigger-search pipeline uses, adds the downstream trigger analysis, and is the one to install. The two share the top-level module name wdf, so they cannot be installed side by side.

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