activity
20132023
most citedFast and scalable Gaussian process modeling with applications to astronomical time series

1k citations · 3.3k across the 44 of their papers we have counts for

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Showing 2020Show all

7 papers · 1 filter

astro-ph.IM2020★ 38 cited

Systematics-insensitive Periodogram for finding periods in TESS observations of long-period rotators

Christina Hedges, Ruth Angus, Geert Barentsen +3

NASA's TESS mission \citep{tess} has produced high precision photometry of millions of stars to the community. The majority of TESS observations have a duration of 27 days…

astro-ph.EP2020★ 97 cited

WASP-107b's density is even lower: a case study for the physics of planetary gas envelope accretion and orbital migration

Caroline Piaulet, Björn Benneke, Ryan A. Rubenzahl +21

With a mass in the Neptune regime and a radius of Jupiter, WASP-107b presents a challenge to planet formation theories. Meanwhile, the planet's low surface gravity and the star's b…

astro-ph.EP2020★ 56 cited

Evolution of the Exoplanet Size Distribution: Forming Large Super-Earths Over Billions of Years

Trevor J. David, Gabriella Contardo, Angeli Sandoval +9

The radius valley, a bifurcation in the size distribution of small, close-in exoplanets, is hypothesized to be a signature of planetary atmospheric loss. Such an evolutionary pheno…

astro-ph.SR2020★ 165 cited

When Do Stalled Stars Resume Spinning Down? Advancing Gyrochronology with Ruprecht 147

Jason Lee Curtis, Marcel A. Agüeros, Sean P. Matt +17

Recent measurements of rotation periods () in the benchmark open clusters Praesepe (670 Myr), NGC 6811 (1 Gyr), and NGC 752 (1.4 Gyr) demonstrate that, after convergi…

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…