pyZDCF is a Python module that emulates a widely used Fortran program called ZDCF (Z-transformed Discrete Correlation Function, Alexander 1997). It is used for robust estimation of cross-correlation function of sparse and unevenly sampled astronomical time-series. This Python implementation also introduces sparse matrices in order to significantly reduce RAM usage when running the code on large time-series (> 3000 points). pyZDCF is based on the original Fortran code fully developed by Prof. Tal Alexander from Weizmann Institute of Science, Israel.

{"references": ["Alexander, Tal (1997) : https://doi.org/10.1007/978-94-015-8941-3_14"]}