activity
20102026
most citedDynamical effects of stellar mass loss on a Kuiper-like belt

215 citations · 3.6k across the 79 of their papers we have counts for

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70 papers · 1 filter

astro-ph.EP2026

Tracing outer planetary systems through white dwarf pollution in wide binaries

Carolina Lizana-Vidal, Claudia Aguilera-Gómez, Laura K. Rogers +5

White dwarf (WD) atmospheric metal pollution provides strong evidence for the presence of remnant planetary material and it can be used as an indirect tracer of outer planetary sys…

astro-ph.EP2026

Can giant impacts be directly detected in other star systems?

Pavan Tanna, Simon Lock, Amy Bonsor +2

Giant impacts, collisions between planet-sized bodies, play an important role in planet and moon formation. As we enter a new era of large-scale surveys, such as \textit{Gaia} and…

astro-ph.EP2025

Activity in White Dwarf Debris Disks I: Spitzer Legacy Reveals Variability Incompatible with the Canonical Model

Hiba Tu Noor, Jay Farihi, Scott J. Kenyon +11

This study presents all available, multi-epoch 3.6 and 4.5 m photometry from Spitzer Space Telescope observations of white dwarf debris disks, including weekly cadence observati…

astro-ph.EP2025★ 6 cited

Can tidal evolution lead to close-in planetary bodies around white dwarfs II: volcanism and transits

Yuqi Li, Amy Bonsor, Oliver Shorttle

Planetary material accreted by white dwarfs provides unique insights regarding exoplanetary composition. The evolutionary pathways of planetary bodies around white dwarfs are cruci…

astro-ph.EP2025★ 7 cited

Can tidal evolution lead to close-in planetary bodies around white dwarfs I: Orbital period distribution

Yuqi Li, Amy Bonsor, Oliver Shorttle +1

The evolution of planetary systems around white dwarfs is crucial to understanding the presence of planetary material in the atmospheres of white dwarfs. These systems uniquely pro…

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…