Filtering Terrestrial Contamination in the Search for Alien Signals
How can radio astronomers successfully identify extraterrestrial radio signals while discerning them from Earth-based radio signals? This is what a recent study published in The Astronomical Journal hopes to address as a team of researchers investigated how machine learning could be used to search for extraterrestrial technosignatures while simultaneously identifying radio contamination from human radio signals. This study has the potential to help radio astronomers develop more efficient methods in searching for and identifying radio signals from extraterrestrial civilizations.
How can radio astronomers successfully identify extraterrestrial radio signals while discerning them from Earth-based radio signals? This is what a recent study published in The Astronomical Journal hopes to address as a team of researchers investigated how machine learning could be used to search for extraterrestrial technosignatures while simultaneously identifying radio contamination from human radio signals. This study has the potential to help radio astronomers develop more efficient methods in searching for and identifying radio signals from extraterrestrial civilizations.
