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20082026
most citedTransient Heavy Element Absorption Systems in Novae: Episodic Mass Ejection from the Secondary Star

76 citations · 726 across the 103 of their papers we have counts for

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25 papers · 1 filter

astro-ph.IM2025

Nova Explosions in 2040

Alessandro Ederoclite, Domitilla De Martino, Paul Groot +7

Novae are thermonuclear explosions on the surface of accreting white dwarfs and are key laboratories for studying explosive nucleosynthesis, particle acceleration, shock physics, a…

astro-ph.IM2025

White Dwarf Binaries: Probes of Future Astrophysics

Anna F. Pala, Roberto Raddi, Alberto Rebassa-Mansergas +25

White dwarf binaries are fundamental astrophysical probes. They represent ideal laboratories to test the models of binary evolution, which also apply to the sources of gravitationa…

astro-ph.IM2025

How Mass Flows Through Accretion Discs: A Spectral-Timing Vision for the 2040s

Simone Scaringi, Domitilla de Martino, Anna F. Pala +17

Understanding how mass and angular momentum flow through accretion discs remains a fundamental unsolved problem in astrophysics. Accreting white dwarfs offer an ideal laboratory fo…

astro-ph.GA2025★ 1 cited

J-PAS: First Identification, Physical Properties and Ionization Efficiency of Extreme Emission Line Galaxies

A. Giménez-Alcázar, R. Amorín, J. M. Vílchez +32

Extreme emission line galaxies (EELGs) are key tracers of intense star formation and potential analogues of the sources that reionized the early Universe. Their low-redshift counte…

astro-ph.GA2025

J-PAS: A value-added catalogue of optical line intensities for nebular emission galaxies (JOLINES)

J. A. Fernández-Ontiveros, C. López-Sanjuan, A. Hernán-Caballero +38

We present the value-added catalogue JOLINES (J-PAS optical line intensities for nebular emission galaxies), which provides emission-line fluxes in galaxies at from the spectrophot…

astro-ph.IM2025★ 1 cited

The miniJPAS and J-NEP surveys: Machine learning for star-galaxy separation

Ana Paula Jeakel, Gabriel Vieira dos Santos, Valerio Marra +27

We present a supervised machine learning classification of sources from the Javalambre Physics of the Accelerating Universe Astrophysical Survey (J-PAS) Pathfinder datasets: miniJP…