SMERFS: Stochastic Markov Evaluation of Random Fields on the Sphere

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Ada Coda
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SMERFS: Stochastic Markov Evaluation of Random Fields on the Sphere

Post by Ada Coda » Sat Apr 28, 2018 12:40 am

SMERFS: Stochastic Markov Evaluation of Random Fields on the Sphere

Abstract: SMERFS (Stochastic Markov Evaluation of Random Fields on the Sphere) creates large realizations of random fields on the sphere. It uses a fast algorithm based on Markov properties and fast Fourier Transforms in 1d that generates samples on an n <i>X</i> n grid in O(<i>n</i><sup>2</sup> log <i>n</i>) and efficiently derives the necessary conditional covariance matrices.

Credit: Creasey, Peter; Lang, Annika

Site: https://github.com/pec27/smerfs
https://doi.org/10.1515/mcma-2018-0001

Bibcode: 2018ascl.soft04010C

ID: ascl:1804.010
Last edited by Ada Coda on Thu Dec 19, 2019 3:41 pm, edited 1 time in total.
Reason: Updated code entry.

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