activity
20222024
most citedAsteroseismic Signatures of Core Magnetism and Rotation in Hundreds of Low-Luminosity Red Giants

31 citations · 127 across the 18 of their papers we have counts for

collaborators

19 papers

astro-ph.SR2024

Asteroseismology of the Nearby K-Dwarf Draconis using the Keck Planet Finder and TESS

Marc Hon, Daniel Huber, Yaguang Li +76

Asteroseismology of dwarf stars cooler than the Sun is very challenging due to the low amplitudes and rapid timescales of oscillations. Here, we present the asteroseismic detection…

astro-ph.SR20248 cited

TESS asteroseismology of Hydri: a subgiant with a born-again dynamo

Travis S. Metcalfe, Jennifer L. van Saders, Daniel Huber +12

The solar-type subgiant Hyi has long been studied as an old analog of the Sun. Although the rotation period has never been measured directly, it was estimated to be near 27 day…

astro-ph.EP2024

An Earth-sized Planet on the Verge of Tidal Disruption

Fei Dai, Andrew W. Howard, Samuel Halverson +95

TOI-6255~b (GJ 4256) is an Earth-sized planet (1.079 ) with an orbital period of only 5.7 hours. With the newly commissioned Keck Planet Finder (KPF) and CARMEN…

astro-ph.SR2024

Stellar Models are Reliable at Low Metallicity: An Asteroseismic Age for the Ancient Very Metal-Poor Star KIC 8144907

Daniel Huber, Ditte Slumstrup, Marc Hon +15

Very metal-poor stars ([Fe/H]<-2) are important laboratories for testing stellar models and reconstructing the formation history of our galaxy. Asteroseismology is a powerful tool…

astro-ph.IM20243 cited

Reggae: A Parametric Tuner for PBJam, and a Visualization Tool for Red Giant Oscillation Spectra

J. M. Joel Ong, Martin B. Nielsen, Emily J. Hatt +1

The upcoming second release of PBJam -- a software instrument for fitting normal modes ("peakbagging") -- supplements the simple power-spectrum model used in the first version to a…

q-fin.CP2024

DeepUnifiedMom: Unified Time-series Momentum Portfolio Construction via Multi-Task Learning with Multi-Gate Mixture of Experts

Joel Ong, Dorien Herremans

This paper introduces DeepUnifiedMom, a deep learning framework that enhances portfolio management through a multi-task learning approach and a multi-gate mixture of experts. The e…