S G Parsons

University of Sheffield
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Articles (15)

Recent surveys of close white dwarf binaries as well as single white dwarfs have provided evidence for the late appearance of magnetic fields in white dwarfs, and a possible generation mechanism, a crystallization and rotation-driven dynamo has been suggested. A key prediction of this dynamo is that magnetic white dwarfs rotate, at least on average, faster than their non-magnetic counterparts and/or that the magnetic field strength increases with rotation. Here we present rotation periods of ten white dwarfs within 40 pc measured using photometric variations. Eight of the light curves come from TESS observations and are thus not biased towards short periods, in contrast to most period estimates that have been reported previously in the literature. These TESS spin periods are indeed systematically shorter than those of non-magnetic white dwarfs. This means that the crystallization and rotation-driven dynamo could be responsible for a fraction of the magnetic fields in white dwarfs. However, the full sample of magnetic white dwarfs also contains slowly rotating strongly magnetic white dwarfs which indicates that another mechanism that leads to the late appearance of magnetic white dwarfs might be at work, either in addition to or instead of the dynamo. The fast-spinning and massive magnetic white dwarfs that appear in the literature form a small fraction of magnetic white dwarfs, and probably result from a channel related to white dwarf mergers.

Year:

2024

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2024

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2024

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2023

Year:

2023

The initial-final mass relation (IFMR) maps the masses of main-sequence stars to their white dwarf descendants. The most common approach to measure the IFMR has been to use white dwarfs in clusters. However, it has been shown that wide double white dwarfs can also be used to measure the IFMR using a Bayesian approach. We have observed a large sample of 90 Gaia double white dwarfs using FORS2 on the VLT. Considering 52 DA + DA, DA + DC, and DC + DC pairs, we applied our extended Bayesian framework to probe the IFMR in exquisite detail. Our monotonic IFMR is well constrained by our observations for initial masses of 1–5 M⊙, with the range of 1–4 M⊙ mostly constrained to a precision of 0.03 M⊙ or better. We add an important extension to the framework, using a Bayesian mixture-model to determine the IFMR robustly in the presence of systems departing from single star evolution. We find a large but uncertain outlier fraction of 59 ± 21 per cent, with outlier systems requiring an additional $0.70_{-0.22}^{+0.40}$ Gyr uncertainty in their cooling age differences. However, we find that this fraction is dominated by a few systems with massive components near 0.9 M⊙, where we are most sensitive to outliers, but are also able to establish four systems as merger candidates.

Year:

2023

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2023

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2023

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2023

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2022

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Collaborators (11)

I Heywood

University of Oxford

UNITED KINGDOM
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Stuart P Littlefair

University of Sheffield

UNITED KINGDOM
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Vik Dhillon

University of Sheffield

UNITED KINGDOM
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Jay Farihi

University College London

UNITED KINGDOM
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D Koester

Kiel University

GERMANY
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B T Gänsicke

University of Warwick

UNITED KINGDOM
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John Landstreet

Leverhulme Visitng Professor

-

UNITED KINGDOM
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James Wild

University of Sheffield

UNITED KINGDOM
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Keaton J Bell

Queens College

UNITED STATES
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David Sahman

University of Sheffield

UNITED KINGDOM
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Brad Barlow

Associate Professor of Astrophysics

High Point University

UNITED STATES
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