The Multi-Mission Maximum Likelihood framework Logo
  • Intro
  • Notes for XSPEC Users
  • Minimization
  • Bayesian Posterior Sampling
  • Bayesian Sampler Examples
  • Plugins
  • Modeling
  • Frequently Asked Questions
  • API
  • threeML
    • threeML package
  • Release Notes

Features and examples:

  • Analysis Results
  • Constructing plugins from TimeSeries
  • Analyzing GRB 080916C
  • Fitting XMM-Newton data with the APEC model
  • Example joint fit between GBM and Swift BAT
  • Joint fitting XRT and GBM data with XSPEC models
  • Fermi-LAT via FermiPyLike
The Multi-Mission Maximum Likelihood framework
  • API
  • Edit on GitHub

API

Here you can find the documentation of all classes and methods:

threeML

  • threeML package
    • Subpackages
      • threeML.bayesian package
        • Submodules
        • Module contents
      • threeML.catalogs package
        • Submodules
        • Module contents
      • threeML.classicMLE package
        • Submodules
        • Module contents
      • threeML.config package
        • Submodules
        • Module contents
      • threeML.exceptions package
        • Submodules
        • Module contents
      • threeML.io package
        • Subpackages
        • Submodules
        • Module contents
      • threeML.minimizer package
        • Submodules
        • Module contents
      • threeML.parallel package
        • Submodules
        • Module contents
      • threeML.plugins package
        • Subpackages
        • Submodules
        • Module contents
      • threeML.test package
        • Submodules
        • Module contents
      • threeML.utils package
        • Subpackages
        • Submodules
        • Module contents
    • Submodules
      • threeML.analysis_results module
      • threeML.data_list module
      • threeML.plugin_prototype module
      • threeML.random_variates module
    • Module contents
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© Copyright 2017--2021, G.Vianello, J. M. Burgess, N. Di Lalla, N. Omodei, H. Fleischhack. Revision d687acbc.

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