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anesthetic: nested sampling visualisation

2019/05/12 by Will Handley · 2 citations
Computer Science · Medicine · Physics and Astronomy · #Cardiac, Anesthesia and Surgical Outcomes #Data Analysis with R #Data visualization #Healthcare Technology and Patient Monitoring #Python (programming language) #R package #Sampling (signal processing) #Statistician #Visualization #astro-ph.CO #astro-ph.IM

paper · pdf · doi:10.21105/joss.01414

published as Journal of Open Source Software, 2019, 4(37), 1414 · 4 pages, 1 Figure

arxiv created 2019/05/12 · openalex publication_date 2019/05/12 · arxiv updated 2019/05/14 · openalex created_date 2019/05/16 · openalex updated_date 2026/08/05

Abstract

anesthetic is a Python package for processing nested sampling runs, and will be useful for any scientist or statistician who uses nested sampling software. anesthetic unifies many existing tools and techniques in an extensible framework that is intuitive for users familiar with the standard Python packages, namely NumPy, SciPy, Matplotlib and pandas. It has been extensively used in recent cosmological papers (W. Handley & Lemos, 2019a

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