SWOT is a code to compute two-point statistics for very large data sets, based on “divide and conquer” algorithms, mainly, but not limited to:
- data storage in binary trees,
- approximation at large scale,
- parellelization (open MPI),
- bootstrap and jackknife resampling methods “on the fly”.
It currently supports
- projected and 3D galaxy auto and cross correlations
- galaxy-galaxy lensing
- weighted histograms
Github link: swot
Super W Of Theta (SWOT)