swot: Super W Of Theta

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Ada Coda
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swot: Super W Of Theta

Post by Ada Coda » Tue Aug 01, 2017 4:05 am

swot: Super W Of Theta

Abstract: SWOT (Super W Of Theta) computes 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), and bootstrap and jackknife resampling methods “on the fly”. It currently supports projected and 3D galaxy auto and cross correlations, galaxy-galaxy lensing, and weighted histograms.

Credit: Coupon, Jean; Leauthaud, Alexie; Kilbinger, Martin; Medezinski, Elinor

Site: https://github.com/jcoupon/swot

Bibcode: 2017ascl.soft07007C

Preferred citation method: http://adsabs.harvard.edu/abs/2012A%26A...542A...5C

ID: ascl:1707.007

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