Lomb Periodogram

This is a python module that wraps a Fortran implementation of the 3-D Lomb periodogram.

Documentation

A description of the periodogram and a jupyter notebook with an example can be found here

Features:

• Parallel (multi-core, not multi-cpu) Fortran implementation, wrapped to python using f2py (part of numpy).
• A simple plotting library is included.
• A synthetic signal generator is also included.
• Matlab code is included.

Caveats:

• Developed and tested in a Linux environment. Build system only tested in Linux.
• Notes on the periodogram are incomplete.

Installation:

Requirements:

The Fortran code must be compiled and wrapped with f2py to be run.

• gfortran compiler
• meson (for building)
• ninja (for building)
• python3
• numpy
• matplotlib
• h5py

Compilation:

• Create environment and install dependencies:

  The creation of a separate conda environment (here called lomb_env) is recommended. My Linux machine at IPP did not have an hdf5 version modern enough to install h5py.

    conda create -n lomb_env python hdf5 h5py meson-python
    conda activate lomb_env
  

• Install using pip.

  • If you do not want to make changes, just run

    pip install .
    

  • If you will be making changes, you can install in developer mode via

    pip install --no-build-isolation --editable .