期刊
EUROPEAN PHYSICAL JOURNAL PLUS
卷 127, 期 11, 页码 -出版社
SPRINGER HEIDELBERG
DOI: 10.1140/epjp/i2012-12138-3
关键词
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资金
- Lorne Trottier Chair in Astrophysics
- Institute for Particle Physics Theory Fellowship
Interpreting samples from likelihood or posterior probability density functions is rarely as straightforward as it seems it should be. Producing publication-quality graphics of these distributions is often similarly painful. In this short note I describe pippi, a simple, publicly available package for parsing and post-processing such samples, as well as generating high-quality PDF graphics of the results. Pippi is easily and extensively configurable and customisable, both in its options for parsing and post-processing samples, and in the visual aspects of the figures it produces. I illustrate some of these using an existing supersymmetric global fit, performed in the context of a gamma-ray search for dark matter. Pippi can be downloaded and followed at http://github.com/patscott/pippi.
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