activity
20202025
most citedIntegrating Machine Learning for Planetary Science: Perspectives for the Next Decade

32 citations · 33 across the 6 of their papers we have counts for

collaborators

6 papers

astro-ph.EP2025

Are We There Yet? Challenges in Quantifying the Frequency of Earth Analogs in the Habitable Zone

Rachel B. Fernandes, Samson Johnson, Galen J. Bergsten +43

Searching for life elsewhere in the universe is one of the most highly prioritized pursuits in astronomy today. However, the ability to observe evidence of Earth-like life through…

astro-ph.EP2025

An Eccentric Sub-Neptune Moving Into the Evaporation Desert

Sydney Jenkins, Andrew Vanderburg, Ritika Sethi +31

Though missions such as Kepler, K2, and TESS have discovered 2,000 sub-Neptune and Neptunian planets, there is a dearth of such planets at close-in (P3 days) orbits. T…

astro-ph.EP2025

The TOI-1117 Multi-planetary System: 3 sub-Neptunes, 1 in both the Neptunian Desert and Radius Valley

Isobel S. Lockley, David J. Armstrong, Jorge Fernández Fernández +33

We present the discovery of three sub-Neptune planets around TOI-1117, a Sun-like star with mass , radius , age Gyr and ef…

astro-ph.EP2024

Two Earth-size Planets and an Earth-size Candidate Transiting the Nearby Star HD 101581

Michelle Kunimoto, Zifan Lin, Sarah Millholland +43

We report the validation of multiple planets transiting the nearby ( pc) K5V dwarf HD 101581 (GJ 435, TOI-6276, TIC 397362481). The system consists of at least two Earth-…

astro-ph.HE2024★ 1 cited

The black hole low mass X-ray binary V404 Cygni is part of a wide hierarchical triple, and formed without a kick

Kevin B. Burdge, Kareem El-Badry, Erin Kara +7

Evidence suggests that when compact objects such as black holes and neutron stars form, they may receive a ``natal kick,'' where the stellar remnant gains momentum. Observational e…

astro-ph.IM2020★ 32 cited

Integrating Machine Learning for Planetary Science: Perspectives for the Next Decade

Abigail R. Azari, John B. Biersteker, Ryan M. Dewey +13

Machine learning (ML) methods can expand our ability to construct, and draw insight from large datasets. Despite the increasing volume of planetary observations, our field has seen…