Morphological analysis of polar landing regions for a solar powered ice drilling mission
Icarus Elsevier 411 (2024) 115927
The Weird and the Wonderful in Our Solar System: Searching for Serendipity in the Legacy Survey of Space and Time
The Astronomical Journal, 167:118 (14pp), 2024 March
Abstract:
We present a novel method for anomaly detection in solar system object data in preparation for the Legacy Survey of Space and Time. We train a deep autoencoder for anomaly detection and use the learned latent space to search for other interesting objects. We demonstrate the efficacy of the autoencoder approach by finding interesting examples, such as interstellar objects, and show that by using the autoencoder, further examples of interesting classes can be found. We also investigate the limits of classic unsupervised approaches to anomaly detection through the generation of synthetic anomalies and evaluate the feasibility of using a supervised learning approach. Future work should consider expanding the feature space to increase the variety of anomalies that can be uncovered during the survey using an autoencoder.
Correction to: Modelling the seasonal cycle of Uranus's colour and magnitude, and comparison with Neptune
Monthly Notices of the Royal Astronomical Society Oxford University Press (OUP) 528:3 (2024) 4701-4701
Variability in Titan's Mesospheric HCN and Temperature Structure as Observed by ALMA
(2024)
Improved Design of an Advanced Ice Giants Net Flux Radiometer
Space Science Reviews 220:1 (2024)