Lessons

This video explains how to use the star de-emphasis script written by Maxim Valenko. 

NormalizeScaleGradient does a great job of naturally matching frames- which is powerful when they come from two different data sources and fields of view. 

Part 2 of the in depth deep dive into the NSG script.

Having demonstrated it use, we investigate the details of how the script works and the adjustments that can be made to yiled optimal results.

Here is another example that illustrates how NSG works and how it can give you better results than Image Integration's default Noise Evaluation. 

In this section we see if the script lives up to the hype (my hype... ). (Spoiler..it does in spectacular fashion...)

In this video we set up the NSG script for a first run with our data. 

Identifying reference frames is an important part of using the NSG script. It simplifies gradients by choosing the best frame with the minimum of issues and additionally the reference also defines a quality metric by which other frames can be judged.

The following sections are a deep dive into the new script- Normalize Scale Gradient by John Murphy. Normalization of images is done in part by measuring the flux of stars in images (photometry) creating a robust method that, among other things, results in image weights that are more consistent than PixInsight's default noise evaluation methodology. 

This is a simplified version of my technique that takes advantage of the Starnet process. I still recommend watching the original version/video... it has more flexibility and instructional value- but this is more utilitarian. 

This lesson simply walks through using Drizzle on undersampled data. The data is also made available to for practice purposes (and to make a beautiful image of the Carina Nebula). 

This lesson explains the basic idea behind drizzling undersampled images and then demonstrates a few examples. Subtle and neat to do! Look beneath the video for additional notes.

This is a members-only video protected by copyright (Clear Skies Astronomy LLC).

This is a members-only video protected by copyright (Clear Skies Astronomy LLC).