FLIP reveals a planet hidden in Webb data, boosting detection sensitivity by up to 15 times Scientists have developed a way to remove starlight from telescope images that improved sensitivity to faint exoplanets by up to 15 times in tests on James Webb Space Telescope data. A team led by Northwestern University Rodrigo Ferrer Chavez combined a physics based telescope model with optimization techniques used in machine learning to subtract unwanted starlight. Directly imaging exoplanets remains...
