FOR RELEASE: 11:00 a.m. (EST) November 9, 2022
RELEASE: STScI-PR-2022-054
This is the first detailed look at a supernova so early in the universe’s history. The research could help scientists learn more about the formation of stars and galaxies in the early universe. The supernova images are also special because they show the early stages of a stellar explosion.
“It is quite rare that a supernova can be detected at a very early stage, because that stage is really short,” explained Wenlei Chen, first author of the paper and a postdoctoral researcher in the University of Minnesota School of Physics and Astronomy. “It only lasts for hours to a few days, and it can be easily missed even for a nearby detection. In the same exposure, we are able to see a sequence of the images—like multiple faces of a supernova.”
This was possible through a phenomenon called gravitational lensing, which was first predicted in Einstein’s theory of general relativity. In this case, the immense gravity of the galaxy cluster Abell 370 acted as a cosmic lens, bending and magnifying the light from the more distant supernova located behind the cluster.
The warping also produced multiple images of the explosion over different time periods that all arrived at Earth at the same time and were caught in one Hubble image. That was possible only because the magnified images took different routes through the cluster due both to differences in the length of the pathways the supernova light followed, and to the slowing of time and curvature of space due to gravity.
The Hubble exposure also captured the fading supernova’s rapid change of color, which indicates temperature change. The bluer the color means the hotter the supernova is. The earliest phase captured appears blue. As the supernova cooled its light turned redder.
“You see different colors in the three different images,” said Patrick Kelly, study leader and an assistant professor in the University of Minnesota’s School of Physics and Astronomy. “You’ve got the massive star, the core collapses, it produces a shock, it heats up, and then you’re seeing it cool over a week. I think that’s probably one of the most amazing things I’ve ever seen!”
This is also the first time astronomers were able to measure the size of a dying star in the early universe. This was based on the supernova’s brightness and rate of cooling, both of which depend on the size of the progenitor star. Hubble observations show that the red supergiant whose supernova explosion the researchers discovered was about 500 times larger than the Sun.
Chen, Kelly, and an international team of astronomers found this supernova by sifting through the Hubble data archives, looking for transient events. Chen wrote machine-learning algorithms to find these events, but this was the only multiply imaged supernova identified.
Chen and Kelly both have time planned for NASA’s James Webb Space Telescope to observe even more distant supernovae. They hope to contribute to a catalog of very far-off supernovae to help astronomers understand if the stars that existed many billions of years ago are different from those in the nearby universe.
The team’s paper, entitled “Shock cooling of a red-supergiant supernova at redshift 3 in lensed images,” will be published in Nature on November 10.
The Hubble Space Telescope is a project of international cooperation between NASA and ESA. NASA’s Goddard Space Flight Center in Greenbelt, Maryland, manages the telescope. The Space Telescope Science Institute (STScI) in Baltimore conducts Hubble science operations. STScI is operated for NASA by the Association of Universities for Research in Astronomy, in Washington, D.C.
For images, an artist’s illustration, and more information about this study and Hubble, visit:
https://hubblesite.org/contents/news-releases/2022/news-2022-054
http://www.nasa.gov/hubble
MEDIA CONTACT:
Ann Jenkins ([email protected])
Space Telescope Science Institute, Baltimore, Maryland
Ray Villard ([email protected])
Space Telescope Science Institute, Baltimore, Maryland
SCIENCE CONTACT:
Wenlei Chen ([email protected])
University of Minnesota, Minneapolis, Minnesota
Patrick Kelly ([email protected])
University of Minnesota, Minneapolis, Minnesota