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FLIP: Machine-Learning Method Images Exoplanets Hidden by Starlight

1 reports1 sources11/5/2026 updated

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An international research team led by Rodrigo Ferrer-Chavez has developed FLIP, a new exoplanet-detection method that uses machine learning to subtract starlight. The authors report that FLIP reaches up to 15 times the sensitivity of conventional approaches. Testing the method on James Webb Space Telescope Near Infrared Camera data, they obtained the first image of 51 Eridani b, which traditional techniques could not detect. The team says FLIP can be combined with Webb observations to discover cooler, lower-mass, and older giant planets.

Written with AI from the reporting · updated 11/5/2026

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  1. 1Unclassified fact stationNov 5, 00:00recorded Nov 5, 12:15single sourcerevised

    《自然》在线发表系外行星探测新方法论文

    Read original source ↗ China News Service · WorldReplay this moment in the explorer
    Evidence & revisions · 1 source records
    Subject：
    国际研究人员（Rodrigo Ferrer-Chavez 等）
    Action：
    研发并提出系外行星探测新方法
    Object：
    FLIP 影像处理框架
    Occurred (fact side)：
    Nov 5, 00:00
    China News Service · World ↗Report pageRevision 2 · currently revised
    Published (valid side)：
    Nov 5, 12:12
    First seen (known side)：
    Nov 5, 12:15
    Fact stationSingle source · one-sided claimRevised

    Copy may have been revised later; time replay is bounded. Layer labels group reading only, not causation between layers.

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Nov 5
  1. China News Service · WorldRelated fact: single sourceSource report revised
    Original-language report — open source

    Report first recorded Nov 5, 12:15

    Read original source ↗

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