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20242026
most citedVariability in hot sub-luminous stars and binaries: Machine-learning analysis of Gaia DR3 multi-epoch photometry

7 citations · 15 across the 6 of their papers we have counts for

collaborators

6 papers

astro-ph.SR2026

Exploring Late Stellar Evolution in the Era of Large Surveys: Machine Learning Prospects for Hot Subdwarfs and White Dwarfs

Princy Ranaivomanana, Murat Uzundag

The rapid growth of large-scale astronomical surveys and advances in data-driven analysis techniques have transformed the study of late-stage stellar evolution. Modern facilities a…

astro-ph.SR2026

Asteroseismic rotation rates of hot subdwarf B stars hint at transient accretion from leftover common envelope matter

Facundo D. Moyano, Hongwei Ge, Zhanwen Han +6

Asteroseismology enabled measuring the rotation rate in the deep stellar interiors of stars across several evolutionary phases, advancing the theory of angular momentum transport i…

astro-ph.SR2026

BlackGEM observations of compact pulsating stars: Mode identification for the DOV PG 1159-035 using multi-colour photometry

P. Ranaivomanana, C. Johnston, M. Uzundag +10

While space-based telescopes offer unparalleled precision for asteroseismology, ground-based observations remain crucial for identifying compact pulsator candidates and enabling th…

astro-ph.SR2025★ 3 cited

Unsupervised learning for variability detection with Gaia DR3 photometry. The main sequence-white dwarf valley

P. Ranaivomanana, C. Johnston, G. Iorio +4

The unprecedented volume and quality of data from space- and ground-based telescopes present an opportunity for machine learning to identify new classes of variable stars and pecul…

astro-ph.SR2024★ 5 cited

MOCKA -- A PLATO mock asteroseismic catalogue: Simulations for gravity-mode oscillators

N. Jannsen, A. Tkachenko, P. Royer +14

With ESA's PLATO space mission set for launch in December 2026, a new photometric legacy and a future of new scientific discoveries await. In this work we investigate PLATO's poten…

astro-ph.SR2024★ 7 cited

Variability in hot sub-luminous stars and binaries: Machine-learning analysis of Gaia DR3 multi-epoch photometry

P. Ranaivomanana, M. Uzundag, C. Johnston +3

Hot sub-luminous stars represent a population of stripped and evolved red giants that is located on the extreme horizontal branch. Since they exhibit a wide range of variability du…