psiphy — Package for Statistical Inference of Physics

A Python package for cosmological parameter inference, providing tools for simulation-based inference (SBI), MCMC sampling, Fisher forecasting, and posterior diagnostics.

Tutorials

• Tutorials

API Reference

• psiphy.utils
  • kl_divergence()
  • js_distance()
  • Kernel Density Estimation
  • bandwidth_kde_silverman()
  • bandwidth_kde_scott()
  • bandwidth_kdeCV()
  • cross_val_loss_kdeCV_loo()
  • cross_val_loss_kdeCV_kFold()
  • loading_verbose()
  • spherical_to_cartesian()
  • save_model()
  • load_model()
  • LH_sampling()
  • MC_sampling()
  • MCS_nsphere()
  • LHS_nsphere()
• psiphy.sbi
  • tqdm()
  • rABC
  • emceeSRE
  • LFIRE_core
  • LFIRE_TrainingSetAuto
  • LFIRE_BayesianOpt
  • LFIRE_BayesianOpt_ShrinkSpace
  • LFIRE
  • dict_get_remove()
  • read_sampler_emcee()
  • get_chain_emcee()
  • BOLFI
  • importance_sampling()
  • sequential_importance_sampling()
  • SMC_sampling()
  • tqdm()
  • ABC_gpL
• psiphy.mcmc
  • tqdm()
  • UniformPrior
  • eff_sample_size()
  • importance_sampling()
  • sequential_importance_sampling()
  • SMC()
• psiphy.forecasting
  • tqdm()
  • FisherMatrix
• psiphy.plotting
  • credible_limit()
  • plot_lfire()
  • plot_1Dmarginal()
  • plot_2Dmarginal()
  • plot_1Dmarginal_lfire()
  • plot_2Dmarginal_lfire()
  • walk_parameter()
  • corner_density()
  • print_CI_samples()
  • density_1D()
  • density_2D()
  • get_CI_HDR_2D()
  • get_CI_HDR_1D()
  • find_intervals()
  • plot_dist_corner_getdist()
  • walk_parameter()
  • plot_corner_dist()
  • plot_corner_multiple_dist()
  • print_CI_samples()
  • density_1D()
  • contour_2D()
  • density_2D()
  • plot_2d_power()
  • get_CI_HDR_2D()
  • get_CI_HDR_1D()
  • find_intervals()
• psiphy.toy_models
  • GaussianSignal
  • gaussian_signal
  • NoisyLine
  • noisy_line
  • MA2Model
  • PowerLawSpectrum
  • LotkaVolterra

Indices and tables

• Index

• Module Index