University of California, Riverside (UCR) researchers have developed an astronomy algorithm to identify stars around which planets may revolve.
The algorithm makes these predictions by analyzing stars' chemical composition via spectroscopic measurements.
Researcher Natalie Hinkel designed the algorithm and trained it on a publicly available database containing the elemental constituents of more than 4,200 stars.
The UCR team employed the algorithm to help spot gas giants like Jupiter or Saturn, which are likely to shield nearby Earth-like planets.
Said UCR’s Stephen Kane, “Searching for planets can be a long and tedious process given the sheer volume of stars we could search. Eliminating stars unlikely to have planets and pre-selecting those that might will save a ton of time.”
From UC Riverside News
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