11 citations · 12 across the 7 of their papers we have counts for
7 papers
TESSExtractor: A web-based interactive tool for light-curve visualisation and period estimation using TESS full-frame images
Javier Serna, Jesús Hernández, Sean P. Matt +23
We present a user-friendly web application that allows users to extract, visualise, and interact with TESS light-curves (LCs) from full-frame images. The service works for any star…
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,…
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…
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…
A self-regulated convolutional neural network for classifying variable stars
Francisco Pérez-Galarce, Jorge Martínez-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…