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Astronomers have detected one of the most distant and energetic mysterious fast radio bursts in space, a millisecond-long blast of radio waves that traveled 8 billion years to reach Earth.
Until now, the oldest-known such burst dated to 5 billion years ago, making this one 3 billion years older. The universe is about 13.8 billion years old. For comparison, Earth is about 4.5 billion ...
Astronomers detected a fast radio burst from a galaxy 8 billion light-years away. It's a new record, and the signal's source is still a mystery. Scientists detect 8 billion-year-old radio burst.
Lorimer Burst – Observation of the first detected fast radio burst as described by Lorimer in 2006. [1] [failed verification]In radio astronomy, a fast radio burst (FRB) is a transient radio pulse of length ranging from a fraction of a millisecond, for an ultra-fast radio burst, [2] [3] to 3 seconds, [4] caused by some high-energy astrophysical process not yet understood.
It has a metallicity of -0.27 and is about 8 billion years old, with ~0.3 times the mass and 0.33 times the radius of the Sun. [3] [2] For comparison, the Sun has a temperature of 5,778 K and is 4,572,000,000 years old, with a spectral class of G2V. The metallicity is 0.00.
This is an accepted version of this page This is the latest accepted revision, reviewed on 6 January 2025. Problem of the lack of evidence for alien life despite its apparent likelihood This article is about the absence of clear evidence of extraterrestrial life. For a type of estimation problem, see Fermi problem. Enrico Fermi (Los Alamos 1945) The Fermi paradox is the discrepancy between the ...
Several galaxies merged nearly 8 billion years ago. The energy they released was picked up by Australian space telescopes in June 2022. Scientists discover 8-billion-year-old fast radio burst
Porphyrion is a Fanaroff–Riley class II radio galaxy located 7.5 billion light years away from Earth, with host galaxy J152932.16+601534.4.It is located in the constellation Draco and it was discovered in Low-Frequency Array (LOFAR) data by an international team led by Martijn Oei. [2]