48 citations · 102 across the 12 of their papers we have counts for
6 papers · 1 filter
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…
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…
Kinematic Evidence of an Embedded Protoplanet in HD 142666 Identified by Machine Learning
J. P. Terry, C. Hall, S. Abreau +1
Observations of protoplanetary disks have shown that forming exoplanets leave characteristic imprints on the gas and dust of the disk. In the gas, these forming exoplanets cause de…
Locating Hidden Exoplanets in ALMA Data Using Machine Learning
Jason Terry, Cassandra Hall, Sean Abreau +1
Exoplanets in protoplanetary disks cause localized deviations from Keplerian velocity in channel maps of molecular line emission. Current methods of characterizing these deviations…