general:
  general:
    backend: default         # The matploblib backend used for visualization. `default` uses the system default, can specifiy specific backend (e.g. TKAgg, Qt5Agg, WXAgg).
plots_search:
  dynesty:
    cornerplot: true         # Output Dynesty cornerplot figure during a non-linear search fit?
    cornerpoints: false      # Output Dynesty cornerpoints figure during a non-linear search fit?
    runplot: true            # Output Dynesty runplot figure during a non-linear search fit?
    traceplot: true          # Output Dynesty traceplot figure during a non-linear search fit?
  emcee:
    corner: true             # Output Emcee corner figure during a non-linear search fit?
    likelihood_series: true  # Output Emcee likelihood series figure during a non-linear search fit?
    time_series: true        # Output Emcee time series figure during a non-linear search fit?
    trajectories: true       # Output Emcee trajectories figure during a non-linear search fit?
  pyswarms:
    contour: true            # Output PySwarms contour figure during a non-linear search fit?
    cost_history: true       # Output PySwarms cost_history figure during a non-linear search fit?
    time_series: true        # Output PySwarms time_series figure during a non-linear search fit?
    trajectories: true       # Output PySwarms trajectories figure during a non-linear search fit?
  ultranest:
    cornerplot: true         # Output Ultranest cornerplot figure during a non-linear search fit?
    runplot: true            # Output Ultranest runplot figure during a non-linear search fit?
    traceplot: true          # Output Ultranest traceplot figure during a non-linear search fit?
  zeus:
    corner: true             # Output Zeus corner figure during a non-linear search fit?
    likelihood_series: true  # Output Zeus likelihood series figure during a non-linear search fit?
    time_series: true        # Output Zeus time series figure during a non-linear search fit?
    trajectories: true       # Output Zeus trajectories figure during a non-linear search fit?