Story perspectives

RIMS Algorithm Uncovers 200,000 New Radio Signals

2/6/2026

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Summary

Story summary

Cyril Tasse and colleagues introduced the RIMS algorithm to analyze background radio data from telescopes.
It revealed over 200,000 new radio signals in 1.4 years of LoFAR data.
Many signals likely come from solar flares, and some indicate exoplanet–star interactions.
The study focused on the GJ 687 system, where a Neptune-sized planet's magnetic field interacts with its star to produce radio waves, which could help RIMS enhance magnetosphere searches.

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Story summary

Cyril Tasse and colleagues introduced the RIMS algorithm to analyze background radio data from telescopes.
It revealed over 200,000 new radio signals in 1.4 years of LoFAR data.
Many signals likely come from solar flares, and some indicate exoplanet–star interactions.
The study focused on the GJ 687 system, where a Neptune-sized planet's magnetic field interacts with its star to produce radio waves, which could help RIMS enhance magnetosphere searches.