Marc Hon

Marc Hon

Postdoctoral Researcher

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publications

Deep Learning Classification in Asteroseismology

Published in Monthly Notices of the Royal Astronomical Society, 2017

This work pioneers the use of deep learning pattern recognition in asteroseismology, where convolutional neural networks are used to identify core helium-burning or hydrogen-shell burning red giants with exceptional accuracy.

Recommended citation: Hon, M.; Stello, D.; Yu, J..“Deep learning classification in asteroseismology”, 2017, MNRAS, 469, 4578.

Deep learning classification in asteroseismology using an improved neural network: results on 15,000 Kepler red giants and applications to K2 and TESS data

Published in Monthly Notices of the Royal Astronomical Society, 2018

This work extends the red giant evolutionary state convolutional network towards K2- and TESS-like datasets, showing that high levels of accuracy can still being achieved for shorter observational data. The evolutionary states of around 15,000 Kepler red giants are additionally classified, doubling the number of red giants that given this analysis.

Recommended citation: Hon, M.; Stello, D.; Yu, J..“Deep learning classification in asteroseismology using an improved neural network: result on 15000 Kepler red giants and applications to K2 and TESS data”, 2018, MNRAS, 476, 3233.

Detecting Solar-like Oscillations in Red Giants with Deep Learning

Published in The Astrophysical Journal, 2018

For the first time, we use deep learning-based computer vision to mimic the human visual ability in detecting solar-like oscillations in images of red giants power spectra. Thousands of stars can be analyzed in seconds with a human expert-level ability, making this method into an extremely powerful tool in the era of Big Data in asteroseismology.

Recommended citation: Hon, M.; Stello, D.; Zinn, J..“Detecting Solar-like Oscillations in Red Giants with Deep Learning”, 2018, ApJ, 859, 64.

A Search for Red Giant Solar-like Oscillations in All Kepler Data

Published in Monthly Notices of the Royal Astronomical Society, 2019

This work searches for evolved Sun-like stars across the entire Kepler catalog using deep learning-based computer vision, finding many stars previously untargeted by the spacecraft.

Recommended citation: Hon, M.; Stello, D.; Garc ́ıa, R. A.; et al..“A search for red giant solar-like oscillations in all Kepler data”, 2019, MNRAS, 485, 5616

Asteroseismic Inference of Subgiant Evolutionary Parameters with Deep Learning

Published in Monthly Notices of the Royal Astronomical Society, 2020

We use deep learning to determine precise asteroseismic ages of subgiants from stellar models.

Recommended citation: Hon, M.; Bellinger, E. P.; Hekker, S.; et al..“Asteroseismic inference of subgiant evolutionary parameters with deep learning”, 2019, MNRAS, 499, 2445

A close-in giant planet escaping engulfment by its star

Published in Nature, 2023

Discovery of a close-in planet that should have been consumed by its host star in the past

Recommended citation: Hon, M.; Huber, D.; Rui, N. Z. ; et al.. ”A close-in giant planet escaping engulfment by its star”, 2023, Nature, 618, 917

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