A python implementation of a cross-correlation task that finds time delays between two time series, with monte-carlo simulations to estimate the uncertainties.

Assuming that the error of the time series are 1-sigma deviations of the value, generates several fake curves with random points that follow a normal distribution with the same 1-sigma deviation. Calculates the cross-correlation function and time-delay for each fake curve. Find the mean and standard deviation of the distribution of time-delays.

External packages needed:

• matplotlib
• numpy
• astropy
• scipy