1 citations · 2 across the 4 of their papers we have counts for
6 papers
Denoising Interferometric Observations Using Visibilities-Informed Neural Networks
Jason P. Terry, Cassandra Hall, Sergei Gleyzer
The upcoming observations from the Square Kilometer Array Observatory will provide the astronomical community with a wealth of observations of important objects at long wavelengths…
exoALMA XXIII. Estimating Disk and Planet Properties from Dust Morphologies with DBNets2.0
Alessandro Ruzza, Giuseppe Lodato, Giovanni Rosotti +21
The exoALMA large program provided an unprecedented view of the morphology and kinematics of 15 circumstellar disks, offering a biased but homogenous and well-characterized sample…
A Collective Trigger for Widespread Planetesimal Formation Revealed by Accretion Ages
James Bryson, Hannah Sanderson, Francis Nimmo +4
The formation of planetesimals was an integral part of the cascading series of processes that built the terrestrial planets. To illuminate planetesimal formation, here we develop a…
Dust Morphology Under Changing Dust Mass Ratios in Protoplanetary Discs
Matthew Murray, Cassandra Hall, Hans Baehr +1
Protoplanetary disc mass is one of the most fundamental properties of a planet-forming system, as it sets the total mass budget available for planet formation. However, obtaining d…
Excitonic Landscapes in Monolayer Lateral Heterostructures Revealed by Unsupervised Machine Learning
Maninder Kaur, Nicolas T. Sandino, Jason P. Terry +2
Two-dimensional (2D) in-plane heterostructures including compositionally graded alloys and lateral heterostructures with defined interfaces display rich optoelectronic properties a…
A Machine Learning Approach to Detecting Albedo Anomalies on the Lunar Surface
Sofia Strukova, Sergei Gleyzer, Patrick Peplowski +1
This study introduces a data-driven approach using machine learning (ML) techniques to explore and predict albedo anomalies on the Moon's surface. The research leverages diverse pl…