autogalaxy.plot.subplot_fit_dirty_images#

subplot_fit_dirty_images(fit, output_path=None, output_format=None, colormap='default', use_log10=False, residuals_symmetric_cmap=True, title_prefix=None)[source]#

Create a six-panel subplot of dirty-image diagnostics for an interferometer fit.

Dirty images are the real-space counterparts of the visibility-space data, obtained via an inverse Fourier transform. The panels show: dirty image, dirty signal-to-noise map, dirty model image, dirty residual map, dirty normalised residual map, and dirty chi-squared map.

Parameters:

  • fit (FitInterferometer) – The completed interferometer fit to visualise.

  • output_path (str or None) – Directory in which to save the figure. None → plt.show().

  • output_format (str) – File format, e.g. "png".

  • colormap (str) – Matplotlib colormap name, or "default".

  • use_log10 (bool) – Apply a log₁₀ stretch to the plotted values.

  • residuals_symmetric_cmap (bool) – Reserved for future symmetric-colormap support (currently unused).