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JWST - Pandora's Cluster/Abell 2744 - NIRCam - Magnification and reconstruction via AI.
This is our version, via our artificial intelligence model, of the image provided by JWST about the Pandora's Cluster/Abell 2744 on 15 February 2023.
According to astronomers, at least 50,000 near-infrared light sources can be seen in this new image from the JWST, obtained using the NIRCam instrument. We, through this image, see into the past, reaching billions of years into the past. Considering that the various sources are at different distances, it is a mixture of pictures from the past, with different ages. The light has travelled at varying distances to reach the telescope's detectors, representing the vastness of space in a single image.
One star is in the foreground, belonging to our galaxy, as are the other smaller stars in this image, all recognisable by the effect of diffraction peaks due to the Webb. The bright white sources surrounded by a hazy glow are instead the galaxies of the Pandora/Abell 2744 cluster, an agglomeration of already massive galaxies that come together to form a megacluster. The concentration of mass is so great that the fabric of spacetime is deformed by gravity, creating an effect that makes the region of particular interest to astronomers: it is a kind of natural supermagnetic lens properly called 'gravitational lens'. This lens allows us to see light sources far beyond the cluster that would otherwise be undetectable, even to Webb.
The distance to this cluster of galaxies is about 3.5 billion light years.
The file is available at 2.131 billion pixels for download at a resolution of 52932x40266 pixels.
Map of wavelengths/colours:
Blue: F115W+F150W;
Green: F200W+F277W;
Red: F356W+F444W.
Constellation: Sculptor.
Object Description: Galaxy Cluster and Gravitational Lens.
Distance: 3.5 billion light-years to cluster.
Release Date: February 15, 2023 15:00 (UTC).
Credits: science NASA, ESA, CSA, Ivo Labbe (Swinburne), Rachel Bezanson (University of Pittsburgh);
image processing Alyssa Pagan (STScI). Magnification and reconstruction via AI by PipploIMP.
Our Facebook page: bit.ly/PipploFB
Our YouTube channel: bit.ly/PipploYT
JWST - Pandora's Cluster/Abell 2744 - NIRCam - Magnification and reconstruction via AI.
This is our version, via our artificial intelligence model, of the image provided by JWST about the Pandora's Cluster/Abell 2744 on 15 February 2023.
According to astronomers, at least 50,000 near-infrared light sources can be seen in this new image from the JWST, obtained using the NIRCam instrument. We, through this image, see into the past, reaching billions of years into the past. Considering that the various sources are at different distances, it is a mixture of pictures from the past, with different ages. The light has travelled at varying distances to reach the telescope's detectors, representing the vastness of space in a single image.
One star is in the foreground, belonging to our galaxy, as are the other smaller stars in this image, all recognisable by the effect of diffraction peaks due to the Webb. The bright white sources surrounded by a hazy glow are instead the galaxies of the Pandora/Abell 2744 cluster, an agglomeration of already massive galaxies that come together to form a megacluster. The concentration of mass is so great that the fabric of spacetime is deformed by gravity, creating an effect that makes the region of particular interest to astronomers: it is a kind of natural supermagnetic lens properly called 'gravitational lens'. This lens allows us to see light sources far beyond the cluster that would otherwise be undetectable, even to Webb.
The distance to this cluster of galaxies is about 3.5 billion light years.
The file is available at 2.131 billion pixels for download at a resolution of 52932x40266 pixels.
Map of wavelengths/colours:
Blue: F115W+F150W;
Green: F200W+F277W;
Red: F356W+F444W.
Constellation: Sculptor.
Object Description: Galaxy Cluster and Gravitational Lens.
Distance: 3.5 billion light-years to cluster.
Release Date: February 15, 2023 15:00 (UTC).
Credits: science NASA, ESA, CSA, Ivo Labbe (Swinburne), Rachel Bezanson (University of Pittsburgh);
image processing Alyssa Pagan (STScI). Magnification and reconstruction via AI by PipploIMP.
Our Facebook page: bit.ly/PipploFB
Our YouTube channel: bit.ly/PipploYT