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June 26, 2025

Citizen scientists find new eclipsing binary stars

Lightcurve of TIC 139079180 for sector 15 (top panel), vs. the same lightcurve scaled with a quantile transform (bottom panel). Credit: arXiv (2025). DOI: 10.48550/arxiv.2506.05631
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Lightcurve of TIC 139079180 for sector 15 (top panel), vs. the same lightcurve scaled with a quantile transform (bottom panel). Credit: arXiv (2025). DOI: 10.48550/arxiv.2506.05631

When two stars orbit one another in such a way that one blocks the other's light each time it swings around, that's an eclipsing binary. A new paper from NASA's Eclipsing Binary Patrol citizen science project presents more than 10,000 of these rare pairs—10,001 to be precise. These objects will help future researchers study the physics and formation of stars and search for new exoplanets.

The findings are on the arXiv preprint server.

Eclipsing Binary stars change in brightness over time as they orbit one another and block each other’s light. Credit: NASA GSFC

"Together, humans and computers excel at investigating hundreds of thousands of eclipsing binaries," said Dr. Veselin Kostov, research scientist at NASA Goddard Space Flight Center and the SETI Institute and lead author of the paper. "I can't wait to search them for exoplanets."

To make their , the team examined data from NASA's Transiting Exoplanet Survey Satellite (TESS), which surveyed nearly the entire sky looking for objects with varying brightness. They used a two-tiered approach, combining the scalability of artificial intelligence with the nuanced judgment of human expertise. First, advanced machine learning methods efficiently sifted through hundreds of millions of targets observed by TESS, identifying hundreds of thousands of promising candidates. Then, humans scrutinized the most interesting systems.

Of the 10,001 objects they listed in their paper, 7,936 are new eclipsing binaries they discovered. The rest were already known, but the team made new measurements of the timing of their eclipses.

More information: Veselin B. Kostov et al, The TESS Ten Thousand Catalog: 10,001 uniformly-vetted and -validated Eclipsing Binary Stars detected in Full-Frame Image data by machine learning and analyzed by citizen scientists, arXiv (2025).

You can join the Eclipsing Binary Patrol team. Just go to the .

Journal information: arXiv

Provided by NASA

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A catalog of 10,001 eclipsing binary stars has been compiled using data from NASA's TESS mission, with 7,936 newly identified systems. The project combined machine learning and human review to analyze stellar brightness variations. These binaries provide valuable data for understanding stellar physics, formation, and the search for exoplanets.

This summary was automatically generated using LLM.