Asynchronous accretion can mimic diverse white dwarf pollutants II: water content. Issue 2 (15th November 2022)

• Record Type: Journal Article
• Authors: Brouwers, Marc G; Buchan, Andrew M; Bonsor, Amy; Malamud, Uri; Lynch, Elliot; Rogers, Laura; Koester, Detlev
• Is Part Of: Monthly notices of the Royal Astronomical Society. Volume 519:Issue 2(2023)
• Page Start: 2663
• Page End: 2679
• Publication Date: 2022-11-15
• Subjects: accretion, accretion discs -- planet and satellites: composition -- planet and satellites: interiors -- stars: white dwarfs; Astronomy -- Periodicals; Periodicals; 520.5
• DOI: 10.1093/mnras/stac3317
• Languages: English
• ISSNs: 0035-8711

Abstract

ABSTRACT: Volatiles, notably water, are key to the habitability of rocky planets. The presence of water in planetary material can be inferred from the atmospheric oxygen abundances of polluted white dwarfs, but this interpretation is often complex. We study the accretion process, and find that ices may sublimate and accrete before more refractory minerals reach the star. As a result, a white dwarf's relative photospheric abundances may vary with time during a single accretion event, and do not necessarily reflect the bulk composition of a pollutant. We offer two testable predictions for this hypothesis: (1) cooler stars will more often be inferred to have accreted wet pollutants, and (2) there will be rare occurrences of accretion events with inferred volatile levels far exceeding those of pristine comets. To observationally test these predictions, we statistically constrain the water content of white dwarf pollutants. We find that in the current sample, only three stars show statistically significant evidence of water at the 2σ level, due to large typical uncertainties in atmospheric abundances and accretion states. In the future, an expanded sample of polluted white dwarfs with hydrogen-dominated atmospheres will allow for the corroboration of our theoretical predictions. Our work also shows the importance of interpreting pollutant compositions statistically, and emphasizes the requirement to reduce uncertainties on measured abundances to allow for statistically significant constraints on their water content.