smpy.error_quantification.snr.run.run

smpy.error_quantification.snr.run.run(config_path, convergence_maps, scaled_boundaries, true_boundaries)

Run SNR map generation.

Main entry point for signal-to-noise ratio map computation from convergence maps using randomized null hypothesis testing.

Parameters:

• config_path (str) – Path to configuration file.

• convergence_maps (dict) – Dictionary containing E/B mode convergence maps.

• scaled_boundaries (dict) – Scaled coordinate boundaries.

• true_boundaries (dict) – True coordinate boundaries.

Returns:

snr_maps – Dictionary containing E/B mode SNR maps.

Return type:

dict

Notes

This function loads the configuration and delegates to create_sn_map for the actual SNR computation and visualization.