2016
DOI: 10.3847/0004-637x/821/1/27
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Constraining White Dwarf Structure and Neutrino Physics in 47 Tucanae

Abstract: We present a robust statistical analysis of the white dwarf cooling sequence in 47 Tucanae. We combine Hubble Space Telescope UV and optical data in the core of the cluster, Modules for Experiments in Stellar Evolution (MESA) white dwarf cooling models, white dwarf atmosphere models, artificial star tests, and a Markov Chain Monte Carlo sampling method to fit white dwarf cooling models to our data directly. We use a technique known as the unbinned maximum likelihood to fit these models to our data without binn… Show more

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Cited by 11 publications
(17 citation statements)
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“…Bottom: UV data used in this paper. Artificial star tests described in Goldsbury et al (2016). match the stars between the F336W and F475W images, providing a baseline of ∼ 11 yr over which to calculate proper motions.…”
Section: Proper Motionsmentioning
confidence: 99%
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“…Bottom: UV data used in this paper. Artificial star tests described in Goldsbury et al (2016). match the stars between the F336W and F475W images, providing a baseline of ∼ 11 yr over which to calculate proper motions.…”
Section: Proper Motionsmentioning
confidence: 99%
“…Figure 1 displays the higher core completeness of the bluer filters. For a detailed description of the observations and completeness correction process, see Goldsbury et al (2016).…”
Section: Proper Motionsmentioning
confidence: 99%
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“…Furthermore, if DFSZ axions exist and have masses in the range of a few meV, as suggested by this study, they will introduce subtle but detectable changes in the evolution of stars as is the case of red giants (Viaux et al 2013), horizontal branch stars (Ayala et al 2014), and globular clusters (Hansen et al 2015;Goldsbury et al 2012Goldsbury et al , 2016. Additionally, it is expected that the direct measurement of the characteristic cooling time of white dwarfs employing the secular variation of the pulsation periods of ZZ Ceti stars will be much improved in a near future (Córsico et al 2012a(Córsico et al ,b, 2016.…”
Section: Results and Conclusionmentioning
confidence: 74%