https://doi.org/10.1140/epjp/i2012-12138-3
Technical Report
Pippi — Painless parsing, post-processing and plotting of posterior and likelihood samples
Department of Physics, McGill University, 3600 rue University, QC H3A 2T8, Montréal, Canada
* e-mail: patscott@physics.mcgill.ca
Received:
28
May
2012
Revised:
1
October
2012
Accepted:
2
October
2012
Published online:
22
November
2012
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.
© Società Italiana di Fisica and Springer-Verlag Berlin Heidelberg, 2012
