
JWST Data Reveals 51 Eridani b With New Image-Processing Method
Researchers used Physics-based Learning for Imaging Planets to recover a signal from the exoplanet in James Webb Space Telescope observations.
FlyMarshall Newsroom1 min read
Photo: Robert Lea/Rodrigo Ferrer-Chavez.
Researchers applied Physics-based Learning for Imaging Planets (FLIP) to James Webb Space Telescope observations and recovered a signal from 51 Eridani b that conventional processing had not revealed. The team used a telescope simulation calibrated against observed data to model and subtract glare from the planet’s host star.
Key details
- 51 Eridani b is a gas giant with about 11 times Jupiter’s mass, orbiting a star roughly 97 light-years from Earth.
- Researchers tested FLIP on JWST observations of three systems: HIP 65426 and 51 Eridani, which have known exoplanets, and TYC 5899, with no known planets.
- The analysis used JWST observations collected about two years before the research was published.
- The research appeared in Nature on Nov. 4, 2026.
The team reported that FLIP improved faint-exoplanet detection performance by 2 to 15 times in its tests.
Why it matters
A host star’s glare can obscure the much fainter light from an orbiting planet. FLIP’s approach uses a calibrated telescope model to separate that glare from the planet’s signal, giving researchers another way to examine faint exoplanets in telescope data.
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