activity
20192025
most citedIdentifying Exoplanets with Deep Learning III: Automated Triage and Vetting of TESS Candidates

70 citations · 163 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.EP2023★ 1 cited

A Unified Treatment of Kepler Occurrence to Trace Planet Evolution I: Methodology

Anne Dattilo, Natalie M. Batalha, Steve Bryson

We present Kepler exoplanet occurrence rates for planets between R and between days. To measure occurrence, we use a non-parametric method via a kernel de…

astro-ph.EP2023

The TESS-Keck Survey. XVI. Mass Measurements for 12 Planets in Eight Systems

Joseph M. Akana Murphy, Natalie M. Batalha, Nicholas Scarsdale +44

With JWST's successful deployment and unexpectedly high fuel reserves, measuring the masses of sub-Neptunes transiting bright, nearby stars will soon become the bottleneck for char…

astro-ph.EP2023★ 23 cited

Identifying Exoplanets with Deep Learning. V. Improved Light Curve Classification for TESS Full Frame Image Observations

Evan Tey, Dan Moldovan, Michelle Kunimoto +8

The TESS mission produces a large amount of time series data, only a small fraction of which contain detectable exoplanetary transit signals. Deep learning techniques such as neura…

astro-ph.EP2019★ 70 cited

Identifying Exoplanets with Deep Learning III: Automated Triage and Vetting of TESS Candidates

Liang Yu, Andrew Vanderburg, Chelsea Huang +14

NASA's Transiting Exoplanet Survey Satellite (TESS) presents us with an unprecedented volume of space-based photometric observations that must be analyzed in an efficient and unbia…

astro-ph.EP2019★ 69 cited

Identifying Exoplanets with Deep Learning II: Two New Super-Earths Uncovered by a Neural Network in K2 Data

Anne Dattilo, Andrew Vanderburg, Christopher J. Shallue +10

For years, scientists have used data from NASA's Kepler Space Telescope to look for and discover thousands of transiting exoplanets. In its extended K2 mission, Kepler observed sta…