Citizen scientists have located thousands of eclipsing binary stars, with NASA reporting 10,001 pairs identified, including 7,936 previously unknown. These systems are crucial for understanding star formation and destruction. The Eclipsing Binary Patrol project, in collaboration with NASA's TESS mission, employs machine learning to pinpoint potential binaries and relies on volunteers for validation. This initiative illustrates the collaboration between human efforts and advanced technology in handling large astronomical datasets to enhance the identification of potentially habitable planets around binary stars.
Citizen scientists have discovered 10,001 eclipsing binary pairs, 7,936 of which were previously unknown, significantly contributing to astrophysical research and exoplanet searches.
The Eclipsing Binary Patrol project utilizes machine learning and human volunteers to validate images from NASA's TESS mission, enhancing research capabilities in astronomy.
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