theta is a framework for template-based statistical modeling and inference, focussing on problems in high-energy physics. It provides the possibility for the user to express a “model”, i.e., the expected data distribution, as function of physical parameters. This model can be used to make statistical inference about the physical parameter of interest. Modeling is “template-based” in the sense that the expected data distribution is always expressed as a sum of histograms.

Documentation overview

There are several sources of documentation for theta, listed with decreasing relevance:
  • The documentation on these pages cover theta-auto, the python interface to theta, which should be the right starting place for most users.
  • A general, physics-focused introduction is available as pdf here. It includes some documentation of the cfg-file layer, but does not mention theta-auto yet.
  • For a documentation of the C++ code (including the configuration file format), refer to the doxygen documentation.
  • The source code is also available online via trac.

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