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GetDist: Monte Carlo sample analyzer

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Ada Coda
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GetDist: Monte Carlo sample analyzer

Postby Ada Coda » Thu Oct 31, 2019 6:48 pm

GetDist: Monte Carlo sample analyzer

Abstract: GetDist analyzes Monte Carlo samples, including correlated samples from Markov Chain Monte Carlo (MCMC). It offers a point and click GUI for selecting chain files, viewing plots, marginalized constraints, and LaTeX tables, and includes a plotting library for making custom publication-ready 1D, 2D, 3D-scatter, triangle and other plots. Its convergence diagnostics include correlation length and diagonalized Gelman-Rubin statistics, and the optimized kernel density estimation provides an automated optimal bandwidth choice for 1D and 2D densities with boundary and bias correction. It is available as a standalong package and with CosmoMC (ascl:1106.025).

Credit: Lewis, Antony

Site: https://getdist.readthedocs.io/en/latest/intro.html
https://ui.adsabs.harvard.edu/abs/2019arXiv191013970L

Bibcode: 2019ascl.soft10018L

Preferred citation method: https://ui.adsabs.harvard.edu/abs/2019arXiv191013970L

ID: ascl:1910.018

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