SOM
  • Installation
    • Docker
    • Compiling SOM from source
      • Prerequisites
      • Installation steps
      • Custom CMake options
  • Tutorial
  • User guide
    • Basic description of the method
      • Integral equation of the analytic continuation problem
      • Goodness of fit functionals
      • Minimization of the \(\chi^2\)-functionals
      • Post-processing of spectral functions
    • Supported observables
      • Thermal Green’s function of fermions
      • Thermal Green’s function of bosons, dynamical susceptibilities and conductivity
      • Dynamical response functions at zero temperature
    • Recovery of observables on a real-frequency mesh
    • Statistical analysis of ensembles of spectral functions
    • Stochastic Optimization with Consistent Constraints
      • Consistent-constraints updates
      • Construction of final solution using the consistent-constraints protocol
  • Usage examples
    • Fermionic Green’s function or self-energy
    • Fermionic Green’s function or self-energy with enforced particle-hole symmetry
    • Green’s function of bosons and transverse magnetic susceptibility
    • Charge susceptibility, longitudinal magnetic susceptibility and optical conductivity
    • Dynamical response function at zero temperature
    • Input data defined on various meshes
    • Full covariance matrix of input data
    • Statistical analysis of ensembles of spectral functions
    • Stochastic Optimization with Consistent Constraints
  • Python API reference
    • som: Main Python module of SOM
      • som.Som
        • Som
          • Som.__init__()
          • Som.accumulate()
          • Som.last_accumulate_parameters
          • Som.accumulate_status
          • Som.adjust_f()
          • Som.compute_final_solution()
          • Som.compute_final_solution_cc()
          • Som.run()
          • Som.clear()
          • Som.observable_kind
          • Som.dim
          • Som.particular_solutions()
          • Som.objf_min
          • Som.solution()
          • Som.solutions
          • Som.objf()
          • Som.objf_list
          • Som.histogram()
          • Som.histograms
      • Free functions
        • fill_refreq()
        • compute_tail()
        • reconstruct()
        • estimate_boson_corr_spectrum_norms()
        • count_good_solutions()
      • Auxiliary types
        • Rectangle
          • Rectangle.center
          • Rectangle.width
          • Rectangle.height
          • Rectangle.norm
          • Rectangle.__call__()
        • Configuration
          • Configuration.__len__()
          • Configuration.__getitem__()
          • Configuration.__iter__()
          • Configuration.__call__()
    • som.spectral_stats: Statistical analysis of noisy spectral functions
      • spectral_integral()
      • spectral_avg()
      • spectral_disp()
      • spectral_corr()
  • SOM 1.x script porting guide
    • Python modules
    • Construction of the Som object
    • Deprecation of Som.run()
    • Post-processing of spectral functions
    • Direct access to spectral functions
  • Reporting issues
  • About SOM
    • Authors
    • TRIQS
    • Acknowledgements
    • License
    • Usage disclaimer
  • Changelog
    • 2.1.0 (2023-10-03)
    • 2.0.0 (2022-06-27)
      • Major changes and new features
      • Python API changes
      • Build system and developer tools
    • 1.2 (2020-03-15)
    • 1.1 (2017-04-23)
    • 1.0 (2017-03-19)
  • Index
  • Search Page
SOM
  • Usage examples
  • View page source

Usage examples

  • Fermionic Green’s function or self-energy
  • Fermionic Green’s function or self-energy with enforced particle-hole symmetry
  • Green’s function of bosons and transverse magnetic susceptibility
  • Charge susceptibility, longitudinal magnetic susceptibility and optical conductivity
  • Dynamical response function at zero temperature
  • Input data defined on various meshes
  • Full covariance matrix of input data
  • Statistical analysis of ensembles of spectral functions
  • Stochastic Optimization with Consistent Constraints
Previous Next

© Copyright 2016-2024, Igor Krivenko.