The James Webb Space Telescope (JWST) is a revolutionary space observatory designed to explore the fundamental questions of the cosmos with unprecedented clarity. It captures infrared images that reveal stars, galaxies, and distant objects previously hidden from view. The breathtaking visuals and priceless data from JWST should be accessible to scientists, educators, students, and astronomy enthusiasts alike. However, to interpret JWST image, it involved several images processing and colour mapping techniques.
Amir Fauzan is an undergraduate student working under Dr. John Soo, whose research focuses on computational astrophysics and cosmology. Amir and his partner have published their research and work on their website, showcasing their efforts in astrophysics and image processing. Their project aims to make astrophysical data, like those from the JWST, accessible and comprehensible to the public. For more about their work, visit AstroCitizen.
Join us to learn on how to transform raw JWST images into breathtaking, high-resolution visuals that reveal the wonders of the universe.