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BAT - The Bayesian Analysis Toolkit

4 Pith papers cite this work. Polarity classification is still indexing.

4 Pith papers citing it
abstract

We describe the development of a new toolkit for data analysis. The analysis package is based on Bayes' Theorem, and is realized with the use of Markov Chain Monte Carlo. This gives access to the full posterior probability distribution. Parameter estimation, limit setting and uncertainty propagation are implemented in a straightforward manner. A goodness-of-fit criterion is presented which is intuitive and of great practical use.

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background 2 dataset 1

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years

2026 3 2025 1

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UNVERDICTED 4

representative citing papers

Impact of Higgs-boson measurements on SMEFT fits

hep-ph · 2025-12-01 · unverdicted · novelty 4.0

Higgs precision data now meaningfully tightens SMEFT constraints and increases the lower bound on new physics scales across different flavor assumptions.

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Showing 4 of 4 citing papers.