1 citations · 1 across the 4 of their papers we have counts for
7 papers
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…
Rare Find: Discovery and chemo-dynamical properties of two s-process enhanced RR Lyrae stars
Valentina D'Orazi, Giuliano Iorio, Borbála Cseh +15
We report the serendipitous discovery of two RR Lyrae stars exhibiting significant s-process element enrichment, a rare class previously represented solely by TY Gruis. Our goal is…
The formation of Gaia BH3
Daniel Marín Pina, Mark Gieles, Sara Rastello +1
The Gaia collaboration announced the discovery of a massive black hole (BH) with a low-mass giant star companion, Gaia BH3, located in the ED-2 stellar stream. The properties of Ga…
Star-Black Hole Interactions in Young Star Clusters
Sara Rastello, Giuliano Iorio, Mark Gieles +1
Close encounters between stars and black holes can trigger micro-tidal disruption events (micro-TDEs) in dense young star clusters (YSCs). Using direct N-body simulations with PETA…
Mass loss and dynamical friction on the Fornax dSph galaxy in the Milky Way potential
Pierfrancesco Di Cintio, Giuliano Iorio, Carlo Nipoti +1
We study the interplay between mass-loss and dynamical friction (DF) on the orbital decay of the Fornax dwarf spheroidal galaxy in the potential of the Milky Way (MW). Using a simp…
Revealing the ages of metal-rich RR Lyrae via kinematic label transfer
HanYuan Zhang, Giuliano Iorio, Vasily Belokurov +3
RR Lyrae stars have long been considered reliable tracers of old, metal-poor populations, primarily due to their prevalence in globular clusters and the Galactic halo. However, the…