tess

A University of Warwick team applied a new machine-learning pipeline called RAVEN to four years of TESS observations, statistically validating 118 short-period planets and surfacing roughly 1,000 candidates not previously catalogued.

A Princeton-led reanalysis of 83.7 million TESS light curves used random forest classifiers to surface 11,554 planet candidates, including one confirmed hot Jupiter, by reaching stars 16 times fainter than prior searches.

The TOI-201 system hosts a super-Earth, a warm Jupiter, and a record-setting brown dwarf whose gravitational interplay drives orbital shifts observable on human timescales — within 200 years its planets will stop transiting.