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James Webb snaps an image of the famous Crab Nebula

Located 6,500 light-years away, the Crab Nebula is famous among astronomers for its elaborate and beautiful structure. ....

Tea Temim Princeton University , Princeton University , Crab Nebula , James Webb Space Telescope , Webb Space Telescope , Near Infrared Camera , Mid Infrared Instrument , Tea Temim , Hubble Space Telescope , X Ray Polarimetry Explorer , Astronomical Objects , Cosmic Dust , Electromagnetic Radiation , Outer Space , Physical Sciences , Space Science ,

Star explosions boost deep space cosmic rays to near the speed of light

X-ray observations from the supernova remnant SN 1006 show its magnetic fields align to accelerate cosmic rays. ....

Ping Zhou , Tycho Brahe , Yi Jung Yang , International Astronomical Union , University Of Hong Kong , University In Jiangsu , Italian Space Agency Imagingx Ray Polarimetry Explorer , Italian Space Agency , Imagingx Ray Polarimetry Explorer , Nanjing University , Hong Kong , Speed Of Light , Cosmic Rays , Supernova Remnant , Type Ia Supernova , Magnetic Fields , Italian Space Agency , Star Explosion ,

James Webb Space Telescope dives deep into the Crab Nebula supernova wreckage (video)

The James Webb Space Telescope has explored the Crab Nebula in more detail than ever before, hunting for clues about how this supernova remnant was created ....

Princeton University , Webb Space Telescope , Crab Nebula , Tea Temim , Near Infrared Camera , Mid Infrared Instrument , James Webb Space Telescope , Supernova Remnant , Infrared Light ,

NASA Telescope Zooms In On A Crab Nebula, The Haunted Remains Of An Exploded Star

The Crab has been studied since as far back as 1054 CE by 11th-century astronomers. ....

David Altavilla , Hardware Inc , Howl Technologies Associate , Hot Hardware ,

'Deep learning' could shed new light on supernova explosions — and our cosmic origins

Scientists have turned to deep learning to speed up the simulation of supernovas, which could shed light on galaxy formation and evolution. ....

Keiya Hirashima , University Of Tokyo , Deep Learning , Chemical Elements , Keiya Hirashima , Supernova Remnants ,