As part of our commitment to pushing the boundaries of astronomy, we have embarked on an extraordinary journey to explore Cassiopeia A (Cas A), the youngest known supernova remnant in our Milky Way Galaxy. Located approximately 10,000 light-years away in the constellation Cassiopeia, this collapsed stellar entity offers profound insights into the dynamics and evolution of supernovae.Using an updated synthetic depth map algorithm, we have created a groundbreaking visualization of Cas A. This algorithm, along with advanced machine learning methods such as ISED and ISEE image filtering and Gaussian smoothing, allows us to infer depth information from JWST NIRCAM image data. By comparing ground-truth images, depth maps, and kinematic reconstructions, we have successfully constructed a three-dimensional model of the Cas A supernova remnant.Our data for this visualization was sourced from the MAST dataset, including three filtered images in the F162M, F356W, and F444W wavelength bands. After processing these raw images using FITS Liberator and refining them in GIMP, we downsampled the image to 4K resolution for easier processing. The final product is a concise video composed of 2,560 individual images, providing a detailed view of the Cassiopeia A, a light echo “Baby Cas”, and other filamentary structures within the nebula.
