33 citations · 47 across the 6 of their papers we have counts for
6 papers
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…
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…
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…
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…
The BlackGEM telescope array I: Overview
Paul J. Groot, S. Bloemen, P. Vreeswijk +75
The main science aim of the BlackGEM array is to detect optical counterparts to gravitational wave mergers. Additionally, the array will perform a set of synoptic surveys to detect…
Identifying and characterising the population of hot sub-luminous stars with multi-colour MeerLICHT data
P. Ranaivomanana, C. Johnston, P. J. Groot +9
Colour-magnitude diagrams reveal a population of blue (hot) sub-luminous objects with respect to the main sequence. These hot sub-luminous stars are the result of evolutionary proc…