Welcome to GammaBayes’s documentation!

Contents:

• Quick Start
  • Observation Meta-Data
  • Simulations
  • Nuisance Parameter Marginalisation
  • Hyperparameter Inference
• High Level Inference
  • Observation Info
  • Source Model Information
  • Inference Parameter Specifications
  • The cool stuff
• GammaBayes Background Theory and Low level overview
  • The posterior and evidence
  • The likelihood and nuisance marginalisation
  • An overview
• Binning Schemes with GammaBinning
  • Base use case
  • GammaBinning attributes
  • GammaBinning methods
  • GammaBinning behaviours
• Exposure and GammaLogExposure
  • Multiple exposures
• Instrument Response Functions, DiscreteLogLikelihood and IRF_LogLikelihood
  • IRF_LogLikelihood
• Event data, GammaObs and GammaObsCube
  • GammaObs
  • GammaObsCube
• DiscreteLogPrior and Simulations
  • DiscreteLogPrior
  • Adding noise to true values with IRF_LogLikelihood
  • SourceFluxDiscreteLogPrior
  • TwoCompFluxPrior
  • ObsFluxDiscreteLogPrior
• Dark Matter
  • CombineDMComps
  • CustomDMRatiosModel
• HESSCatalogueSources_Prior
• FermiGaggeroDiffusePrior
• Hyperparameters, Parameter, ParameterSet, and ParameterSetCollection
  • Parameter
• Single observation hyperparameter inference
  • Simulate Event Data
  • Marginalise nuisance parameters
  • Hyperparameter analysis
• Single observation hyperparameter inference (vers. 2)
  • Simulate Event Data
  • Marginalise nuisance parameters
  • Hyperparameter analysis
• Multi-observation inference

Indices and tables

• Index

• Module Index

• Search Page