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20022026
most citedVariability in hot sub-luminous stars and binaries: Machine-learning analysis of Gaia DR3 multi-epoch photometry

7 citations · 11 across the 6 of their papers we have counts for

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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.SR2026

A probable inside-out dwarf nova outburst from the period bouncer candidate ASASSN-25dc

Yusuke Tampo, Naoto Kojiguchi, Mariko Kimura +13

We report optical time-resolved photometric observations of a newly-discovered outbursting system, ASASSN-25dc. Its 8-mag amplitude, 40-day duration, 1-mag dip in the outburst plat…

astro-ph.SR20251 cited

The evolutionary history of ultra-compact accreting binaries. I. Chemical abundances and formation channel of the eclipsing AM CVn system ZTF J225237.05-051917.4 from HST spectroscopy

W. Yu, A. F. Pala, T. Kupfer +33

AM Canum Venaticorum (AM CVn) stars are ultra-compact binary systems composed of a white dwarf (WD) primary accreting from a H-deficient donor. They are important as potential prog…

astro-ph.SR20253 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.SR20247 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…