151 citations · 371 across the 8 of their papers we have counts for
Showing 2020Show all
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astro-ph.GA2020
Decoding Starlight with Big Survey Data, Machine Learning, and Cosmological Simulations
Kirsten Blancato
Stars, and collections of stars, encode rich signatures of stellar physics and galaxy evolution. With properties influenced by both their environment and intrinsic nature, stars re…
astro-ph.SR2020★ 22 cited
Astraea: Predicting Long Rotation Periods with 27-Day Light Curves
Yuxi, Lu, Ruth Angus +5
The rotation periods of planet-hosting stars can be used for modeling and mitigating the impact of magnetic activity in radial velocity measurements and can help constrain the high…
astro-ph.SR2020★ 3 cited
Data-driven derivation of stellar properties from photometric time series data using convolutional neural networks
Kirsten Blancato, Melissa Ness, Daniel Huber +2
Stellar variability is driven by a multitude of internal physical processes that depend on fundamental stellar properties. These properties are our bridge to reconciling stellar ob…