Skip to main content

James Webb captures stunning image of supernova remnant Cassiopeia A

A stunning new image from the James Webb Space Telescope shows a famous supernova remnant called Cassiopeia A, or Cas A. When a massive star comes to the end of its life and explodes in a huge outpouring of light and energy called a supernova, it leaves behind a dense core that can become a black hole or a neutron star. But that’s not all that remains after a supernova: the explosion can leave its mark on nearby clouds of dust and gas that are formed into intricate structures.

The image of Cas A was taken using Webb’s MIRI instrument, which looks in the mid-infrared range. Located 11,000 light-years away, Cassiopeia A is one of the brightest objects in the sky in the radio wavelength, and is also visible in the optical, infrared, and X-ray wavelengths. To see the different features picked up in different wavelengths, you can look at the slider comparison of the Webb infrared image alongside a Hubble visible light image of the same object.

Cassiopeia A (Cas A) is a supernova remnant located about 11,000 light-years from Earth in the constellation Cassiopeia. It spans approximately 10 light-years. This new image uses data from Webb’s Mid-Infrared Instrument (MIRI) to reveal Cas A in a new light.This image combines various filters with the color red assigned to 25.5 microns (F2550W), orange-red to 21 microns (F2100W), orange to 18 microns (F1800W), yellow to 12.8 microns (F1280W), green to 11.3 microns (F1130W), cyan to 10 microns (F1000W), light blue to 7.7 microns (F770W), and blue to 5.6 microns (F560W). The data comes from general observer program 1947.
Cassiopeia A (Cas A) is a supernova remnant located about 11,000 light-years from Earth in the constellation Cassiopeia. It spans approximately 10 light-years. This new image uses data from Webb’s Mid-Infrared Instrument (MIRI) to reveal Cas A in a new light.  IMAGE: NASA, ESA, CSA, Danny Milisavljevic (Purdue University), Tea Temim (Princeton University), Ilse De Looze (UGent) IMAGE PROCESSING: Joseph DePasquale (STScI)

With Webb’s high sensitivity, new details are visible in this remnant. “Compared to previous infrared images, we see incredible detail that we haven’t been able to access before,” said Tea Temim of Princeton University, a co-investigator of the Webb observation program, which took the image, in a statement.

By studying these details, astronomers can learn about the aftereffects of supernovae — which is particularly important because these explosions create many of the heavier elements in our universe such as silicon, sulfur, and iron. “Cas A represents our best opportunity to look at the debris field of an exploded star and run a kind of stellar autopsy to understand what type of star was there beforehand and how that star exploded,” said principal investigator Danny Milisavljevic of Purdue University.

“By understanding the process of exploding stars, we’re reading our own origin story,” said Milisavljevic. “I’m going to spend the rest of my career trying to understand what’s in this data set.”

Editors' Recommendations

Georgina Torbet
Georgina is the Digital Trends space writer, covering human space exploration, planetary science, and cosmology. She…
Hubble celebrates its 33rd birthday with stunning nebula image
Astronomers are celebrating the NASA/ESA Hubble Space Telescope’s 33rd launch anniversary with an ethereal photo of a nearby star-forming region, NGC 1333. The nebula is in the Perseus molecular cloud, and is located approximately 960 light-years away.

It will soon be the 33rd anniversary of the launch of the Hubble Space Telescope, and to celebrate this milestone, Hubble scientists have shared a stunning image taken by the telescope of a picturesque nebula. NGC 1333 is a busy stellar nursery, with new stars forming among the cloud of dust and gas located 960 light-years away.

The beautiful image of the nebula shows swirls of dark dust around glowing points of light where new stars are being born. To capture this scene, Hubble used its instruments across their full wavelengths, from ultraviolet through the optical light range and into the near-infrared. Hubble took the image using its Wide Field Camera 3 instrument, which used several filter across different wavelengths that were then assigned to colors (Blue: F475W, Green: F606W, Red: F657N and F814W) to create the colorful final result.

Read more
James Webb captures a stunning image of two galaxies merging
Shining like a brilliant beacon amidst a sea of galaxies, Arp 220 lights up the night sky in this view from NASA’s James Webb Space Telescope. Actually two spiral galaxies in the process of merging, Arp 220 glows brightest in infrared light, making it an ideal target for Webb. It is an ultra-luminous infrared galaxy (ULIRG) with a luminosity of more than a trillion suns. In comparison, our Milky Way galaxy has a much more modest luminosity of about ten billion suns.

The James Webb Space Telescope has captured a gorgeous image of a dramatic cosmic event: two galaxies colliding. The two spiral galaxies are in the process of merging, and are glowing brightly in the infrared wavelength in which James Webb operates, shining with the light of more than a trillion suns.

It is not uncommon for two (or more) galaxies to collide and merge, but the two pictured in this image are giving off particularly bright infrared light. The pair has a combined name, Arp 220, as they appear as a single object when viewed from Earth. Known as an ultraluminous infrared galaxy (ULIRG), Arp 220 glows far more brightly than a typical spiral galaxy like our Milky Way.

Read more
Machine learning used to sharpen the first image of a black hole
A team of researchers, including an astronomer with NSF’s NOIRLab, has developed a new machine-learning technique to enhance the fidelity and sharpness of radio interferometry images. To demonstrate the power of their new approach, which is called PRIMO, the team created a new, high-fidelity version of the iconic Event Horizon Telescope's image of the supermassive black hole at the center of Messier 87, a giant elliptical galaxy located 55 million light-years from Earth. The image of the M87 supermassive black hole originally published by the EHT collaboration in 2019 (left); and a new image generated by the PRIMO algorithm using the same data set (right).

The world watched in delight when scientists revealed the first-ever image of a black hole in 2019, showing the huge black hole at the center of galaxy Messier 87. Now, that image has been refined and sharpened using machine learning techniques. The approach, called PRIMO or principal-component interferometric modeling, was developed by some of the same researchers that worked on the original Event Horizon Telescope project that took the photo of the black hole.

That image combined data from seven radio telescopes around the globe which worked together to form a virtual Earth-sized array. While that approach was amazingly effective at seeing such a distant object located 55 million light-years away, it did mean that there were some gaps in the original data. The new machine learning approach has been used to fill in those gaps, which allows for a more sharp and more precise final image.

Read more