pyRSD: Accurate predictions for the clustering of galaxies in redshift-space in Python

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Ada Coda
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pyRSD: Accurate predictions for the clustering of galaxies in redshift-space in Python

Post by Ada Coda » Tue Apr 30, 2019 8:35 pm

pyRSD: Accurate predictions for the clustering of galaxies in redshift-space in Python

Abstract: pyRSD computes the theoretical predictions of the redshift-space power spectrum of galaxies. It also includes functionality for fitting data measurements and finding the optimal model parameters, using both MCMC and nonlinear optimization techniques.

Credit: Hand, Nick; Seljak, Uroš; Beutler, Florian; Vlah, Zvonimir

Site: https://pyrsd.readthedocs.io/en/latest/
http://adsabs.harvard.edu/abs/2017JCAP...10..009H

Bibcode: 2019ascl.soft04026H

Preferred citation method: http://adsabs.harvard.edu/abs/2017JCAP...10..009H

ID: ascl:1904.026

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