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20122026
most citedGaseous Material Orbiting the Polluted, Dusty White Dwarf HE1349-2305

75 citations · 120 across the 17 of their papers we have counts for

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Showing 2025Show all

6 papers · 1 filter

astro-ph.SR2025

The MIRI Excesses around Degenerates (MEAD) Survey I: A candidate cold brown dwarf in orbit around the nearby white dwarf 2MASS J09424023-4637176

Loïc Albert, Sabrina R. Poulsen, Érika Le Bourdais +17

The MIRI Excesses Around Degenerates Survey is a Cycle 2 James Webb Space Telescope (JWST) Survey program designed to image nearby white dwarfs in the mid-IR with the MIRI imaging…

astro-ph.EP2025★ 2 cited

Do White Dwarfs Sample Water-Rich Planetary Material?

Isabella L. Trierweiler, Carl Melis, Érika Le Bourdais +9

Polluted white dwarfs offer a unique way to directly probe the compositions of exoplanetary bodies. We examine the water content of accreted material using the oxygen abundances of…

astro-ph.SR2025

An All-sky Survey of White Dwarf Merger Remnants: Far-UV is the Key

Mukremin Kilic, Pierre Bergeron, Warren R. Brown +5

The majority of merging white dwarfs leave behind a white dwarf remnant. Hot/warm DQ white dwarfs with carbon-rich atmospheres have high masses and unusual kinematics. All evidence…

astro-ph.IM2025

White dwarfs as probes of extrasolar planet compositions and fundamental astrophysics

Siyi Xu, Martin Barstow, Andy Buchan +2

White dwarfs represent the most common end stage of stellar evolution and are important for a range of astrophysical questions. The high-resolution ultraviolet spectroscopic capabi…

astro-ph.EP2025★ 1 cited

Metal Polluted White Dwarfs with 21 μm IR excesses from JWST/MIRI: Planets or Dust?

John H. Debes, Sabrina Poulsen, Ashley Messier +13

White dwarfs with metal pollution are caused by the accretion of rocky dust from tidally disrupted minor bodies and are signposts for planetary systems. These minor bodies are pert…

astro-ph.EP2025

A Machine-Learning Compositional Study of Exoplanetary Material Accreted Onto Five Helium-Atmosphere White Dwarfs with

Mariona Badenas-Agusti, Siyi Xu, Andrew Vanderburg +8

We present the first application of the Machine Learning (ML) pipeline to determine the physical parameters and photospheric composition of five metal-polluted H…