https://pasadenanow.com/main/machine-learning-and-the-hunt-for-earth-analogs-come-to-carnegies-pasadena-campus
[photo credit: Carnegie Science]Finding small planets by watching their stars wobble means measuring motion of just 10 to 30 centimeters per second — roughly 4 to 12 inches per second. Lily Zhao, a NASA Sagan Fellow at the University of Chicago, will speak about how astronomers are reaching for that precision at a lunch talk in Pasadena. Her focus, according to the abstract posted with Carnegie Science’s event listing, is how data-driven, machine-learning algorithms have advanced radial velocity precision and how they can shape the field’s future. Radial velocity is the part of a star’
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[photo credit: Carnegie Science]Finding small planets by watching their stars wobble means measuring motion of just 10 to 30 centimeters per second — roughly 4 to 12 inches per second. Lily Zhao, a NASA Sagan Fellow at the University of Chicago, will speak about how astronomers are reaching for that precision at a lunch talk in Pasadena. Her focus, according to the abstract posted with Carnegie Science’s event listing, is how data-driven, machine-learning algorithms have advanced radial velocity precision and how they can shape the field’s future. Radial velocity is the part of a star’
Image:
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