Documentation

Basic notions

• Mathematical and Physical Background
  • Mathematical Formulation of the Problem
  • Entropy Regularization
  • Off-diagonal elements
• Ways of choosing \(\alpha\)
• Conceptual ideas of this package
  • Flexible implementation
  • Different ways of choosing alpha
  • Continuation of off-diagonal elements
  • Quality control
• Standing on the shoulders of giants

User guide

• Continuation of a 1x1 Green Function
  • Creation of a mock \(G(\tau)\)
  • Setting up and running TauMaxEnt
  • Changing some of the parameters
  • Choosing the value of the hyper-parameter
  • Visualizing and checking the results
  • Metallic Model
• Visualization
  • Jupyter Widget
  • MaxEntResultData GUI
  • plot_* methods
  • Plot data by hand
• Continuation of metallic solutions using preblur
• Continuation of matrix-valued functions
• Real-material application: SrVO₃
  • Running TauMaxEnt
  • Analyzing the result
  • Visualization in notebook
  • Saving the data to a h5-file
• Continuation of a TRIQS BlockGf
• Continuation of self-energies: Sr₂RuO₄
• In-depth discussion of the program structure
  • Structure of the code
  • The concept of caching the evaluation
• Custom functions

Reference manual

This is the reference manual for the python routines.

• ElementwiseMaxEnt
  • ElementwiseMaxEnt
  • PoormanMaxEnt
  • DiagonalMaxEnt
• TauMaxEnt
  • TauMaxEnt
• MaxEntLoop
  • MaxEntLoop
• Cost Functions
  • CostFunction
• MaxEnt cost function
  • MaxEntCostFunction
• Bryan Cost Function
  • BryanCostFunction
• Convergence Methods
  • ConvergenceMethod
  • AndConvergenceMethod
  • OrConvergenceMethod
  • MaxDerivativeConvergenceMethod
  • NullConvergenceMethod
  • FunctionChangeConvergenceMethod
  • RelativeFunctionChangeConvergenceMethod
• LevenbergMinimizer
  • LevenbergMinimizer
• Minimizer
  • Minimizer
• Analyzer
  • Analyzer
  • AnalyzerResult
• Analyzers
  • LineFitAnalyzer
  • fit_piecewise()
  • Chi2CurvatureAnalyzer
  • curv()
  • EntropyAnalyzer
  • ClassicAnalyzer
  • BryanAnalyzer
  • get_delta()
• Probabilities
  • NormalLogProbability
• Logtaker
  • Logtaker
  • VerbosityFlags
• Functions
  • cached()
  • CachedFunction
  • DoublyDerivableFunction
  • InvertibleFunction
  • NullFunction
  • Chi2
  • NormalChi2
  • ComplexChi2
  • Entropy
  • NormalEntropy
  • PlusMinusEntropy
  • ComplexPlusMinusEntropy
  • AbsoluteEntropy
  • ShiftedAbsoluteEntropy
  • GenericH_of_v
  • NormalH_of_v
  • PlusMinusH_of_v
  • ComplexPlusMinusH_of_v
  • NoExpH_of_v
  • IdentityH_of_v
  • GenericA_of_H
  • IdentityA_of_H
  • PreblurA_of_H
• Kernels
  • KernelSVD
  • Kernel
  • DataKernel
  • TauKernel
  • IOmegaKernel
  • PreblurKernel
• Default Models
  • BaseDefaultModel
  • FlatDefaultModel
  • DataDefaultModel
  • FileDefaultModel
• Omega Meshes
  • BaseOmegaMesh
  • LinearOmegaMesh
  • DataOmegaMesh
  • LorentzianOmegaMesh
  • LorentzianSmallerOmegaMesh
  • HyperbolicOmegaMesh
• Alpha Meshes
  • BaseAlphaMesh
  • DataAlphaMesh
  • LogAlphaMesh
  • LinearAlphaMesh
• MaxEntResult
  • saved()
  • recursive_map()
  • recursive_dtype()
  • MaxEntResultData
  • MaxEntResult
• SigmaContinuator
  • SigmaContinuator
  • DirectSigmaContinuator
  • InversionSigmaContinuator
• Maxent Utilities
  • get_G_w_from_A_w()
  • get_G_tau_from_A_w()
  • numder()
  • check_der()
• Preblur
  • get_preblur()
• Plot utilities
  • plot_function()

FAQs

• Frequently-Asked Questions
  • How can I use this package for a matrix-valued Green function?
  • What kernels are available?
  • Why is there a ! at the end of the output line for some alpha?
  • How can I reduce the size of the singular space?
  • Warning ‘Widget Javascript not detected’ when I use JupyerPlotMaxEnt
  • Why is my calculation slow?
  • How can I save things to file?
  • Which publications should I cite?