The second stage is all about using the signal from the first stage in a manner you find aesthetically pleasing.
Straight up, there are two presets that are useful in two of the NBAccent's major use cases;
These presets dial in the most useful settings for these two usecases.
The 'Response Simulation' parameter is responsible for the visual spectrum coloring equivalent that is synthesised from the narrowband data. The NBAccent module was designed to synthesise plausible visual spectrum coloring for a wide range of scenarios and filters;
The 'Luminance Modify' and 'Color Modify' parameters, precisely control how much the module is allowed to modify of the visual spectrum image's luminance/detail and colour respectively. For example, by setting 'Luminance Modify' to 0%, and leaving 'Color Modify' at 100%, only the colouring will be modified, but the narrowband accent data will not (perceptually) influence the brightness of any pixels of the final image. Conversely, by setting 'Color Modify' to 0% and 'Luminance Modify' to 100%, the narrowband accent data will significantly brighten the image in areas of strong narrowband emissions, however the colouring will remain (perceptually) the same as the visual spectrum input image.
The result is exactly what your processed data would have looked like with if you had applied deconvolution earlier and then processed it further.
5 subtly different models are available for selection via the 'Synthetic PSF Model' parameter; 'Gaussian' uses a Gaussian distribution to model atmospheric blurring.
Signal evolution Tracking data mining plays a very important role in StarTools and understanding it is key to achieving superior results with StarTools.
Please refer to the video description below the video for the source data and other helpful links.
StarTools keeps a detailed log of what modules and parameters you used.
You can convert everything you see to a format you find convenient. Give it a try!