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From the 1 of 6 linked papers with an AI index.

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6 papers

astro-ph.SR2026

Symbiotic binaries in the Gaia data. II. Symbiotic candidates from general variability classification in DR3

Jaroslav Merc, Lionel Mulato, Joanna Mikołajewska +7

The paper evaluates how well Gaia DR3’s general variability classification identifies symbiotic binaries, finds that many new candidates are actually pulsating red giants, and uses…

astro-ph.SR2026

Analysis of the Gaia DR3 planetary nebula candidates and the possible symbiotic stars among them

Lionel Mulato, Jaroslav Merc, Stéphane Charbonnel +3

The Gaia DR3, released in June 2022, included low-resolution BP/RP (XP) spectra that have been exploited for the classification of various types of emission-line objects using mach…

astro-ph.SR2025

V4141 Sgr: Outflows and repeated outbursts

Jaroslav Merc, Joanna Mikołajewska, Thomas Petit +6

In this work, we analyze the ongoing brightening of the poorly studied symbiotic star V4141 Sgr and examine its long-term variability. We present new low-resolution spectroscopic o…

astro-ph.SR2025

The birth of Be star disks I. From localized ejection to circularization

J. Labadie-Bartz, A. C. Carciofi, A. C. Rubio +35

Classical Be stars are well known to eject mass, but the details governing the initial distribution and evolution of this matter into a disk are poorly constrained by observations.…

astro-ph.SR2025

Spectral evolution of the narrow emission line components in optical during the 2022 nova eruption of U Scorpii

Katsuki Muraoka, Naoto Kojiguchi, Junpei Ito +20

There remains debate over whether the accretion disk survives or is entirely disrupted after the nova eruption. In our previous paper, Muraoka et al. (2024, PASJ, 76, 293) have pho…

astro-ph.SR2025

Search for new Galactic Wolf-Rayet stars using Gaia DR3. I. Candidate selection and the follow-up of the bright sample

Lionel Mulato, Jaroslav Merc, Stéphane Charbonnel +3

Gaia DR3, released in June 2022, included low-resolution XP spectra that have been used for the classification of various types of emission-line objects through machine-learning te…