1 citations · 1 across the 3 of their papers we have counts for
6 papers
Trajectory-Agnostic Asteroid Detection in TESS with Deep Learning
Brian P. Powell, Jorge Martinez-Palomera, Amy Tuson +3
We present a novel method for extracting moving objects from TESS data using machine learning. Our approach uses two stacked 3D U-Nets with skip connections, which we call a W-Net,…
Technique-agnostic exoplanet demography for the Roman era -- I. Testing a demography retrieval framework using simulated Kepler-like transit datasets
Akshay Priyadarshi, Eamonn Kerins, Michael D. Albrow +41
The Nancy Grace Roman Space Telescope (Roman) will unveil for the first time the full architecture of planetary systems across Galactic distances through the discovery of up to 200…
TSSC comet-centered data products from TESS 3I/ATLAS observations
Jorge Martinez-Palomera, Amy Tuson, TESS Science Support Center
3I/ATLAS is the third known interstellar object to pass through our Solar System. NASA's Transiting Exoplanet Survey Satellite (TESS) made dedicated observations of 3I/ATLAS betwee…
Extrapolation of Periodic Functions Using Binary Encoding of Continuous Numerical Values
Brian P. Powell, Jordan A. Caraballo-Vega, Mark L. Carroll +4
We report the discovery that binary encoding allows neural networks to extrapolate periodic functions beyond their training bounds. We introduce Normalized Base-2 Encoding (NB2E) a…
Pre-discovery TESS Observations of Interstellar Object 3I/ATLAS
Jorge Martinez-Palomera, Amy Tuson, Christina Hedges +3
3I/ATLAS, also known as C2025 N1 (ATLAS), is the third known macroscopic interstellar object to pass through our Solar System. We report serendipitous Transiting Exoplanet Survey S…
A self-regulated convolutional neural network for classifying variable stars
Francisco Pérez-Galarce, Jorge MartÃnez-Palomera, Karim Pichara +2
Over the last two decades, machine learning models have been widely applied and have proven effective in classifying variable stars, particularly with the adoption of deep learning…