Super W Of Theta (SWOT)

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)

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