• Corpus ID: 64895272

# Bayesian Blocks in High Energy Physics: Better Binning made easy!

@article{Pollack2017BayesianBI,
title={Bayesian Blocks in High Energy Physics: Better Binning made easy!},
author={Brian Pollack and Saptaparna Bhattacharya and Michael Henry Schmitt},
journal={arXiv: Data Analysis, Statistics and Probability},
year={2017}
}
• Published 2 August 2017
• Physics
• arXiv: Data Analysis, Statistics and Probability
The Bayesian Block algorithm, originally developed for applications in astronomy, can be used to improve the binning of histograms in high energy physics. The visual improvement can be dramatic, as shown here with two simple examples. More importantly, this algorithm and the histogram is produces is a non-parametric density estimate, providing a description of background distributions that does not suffer from the arbitrariness of ad hoc analytical functions. The statistical power of an…

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