Processing Images from the Webb Space Telescope

The image processing functionality in Wolfram Language makes it easy to build spectacular images from the basic scientific data publicly available on the internet. This webinar demonstrates how you can download a set of monochrome images taken by the NASA James Webb Space Telescope's NIRCam scientific camera and use Wolfram Language functions to construct a false color image with red, green and blue representing specific filtered wavelengths. The data is available in the form of fully calibrated monochrome FITS files that can be easily imported to Wolfram Language. Although noise and other factors make it difficult to use conventional astronomical image alignment algorithms to align these images, built-in Wolfram Language functions like FindGeometricTransform and ImagePerspectiveTransformation, along with the user-friendly Coordinates Tool from the Image Toolbar, make the process easy. Join this session to marvel at the amazing images you can create or to do further processing to reveal more specific details in the interstellar images.