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point away from alea for physics models #143

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2 changes: 2 additions & 0 deletions README.md
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alea is a flexible statistical inference framework. The Python package is designed for constructing, handling, and fitting statistical models, computing confidence intervals and conducting sensitivity studies. It is primarily developed for the [XENONnT dark matter experiment](https://xenonexperiment.org/), but can be used for any statistical inference problem.

Alea aims to model the statistical behaviour of an experiment, which again depends on your knowledge of the underlying physics-- this can range from the very simple, such as measuring a gaussian-distributed random variable, to complex likelihoods where each model component is created by physics simulations (GEANT4), fast detector simulations (for example [appletree](https://github.com/XENONnT/appletree/) for XENONnT) or a data-driven method.

If you use alea in your research, please consider citing the software published on [zenodo](https://zenodo.org/badge/latestdoi/654100988).

## Installation
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