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arXiv 1808.00474astro-ph.SR
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在天体测量和测光巡天中推断本地白矮星星群的性质

Inferring properties of the local white dwarf population in astrometric and photometric surveys

Axel Widmark, Daniel J. Mortlock, Hiranya V. Peiris

摘要:

盖亚任务将为数量空前的白矮星(WD)提供精确的天体测量,编码有关恒星演化、Ia型超新星祖先场景以及银河系恒星形成和动力学历史的信息。有了这样一个大的数据集,它是可能的推断属性的WD人口仅使用天体测量和光度信息。我们展示了一个框架,以实现这一目标,使用模拟数据集与SDSS ugriz测光和盖亚天体测量信息。我们的技术利用贝叶斯分层模型来推断WD群体的属性,同时还考虑到单个对象的所有观察误差以及选择和不完整性效应。我们表明,测光单独可以约束WD人口的分布的温度,表面重力和唯象类型,和天体测量信息显着提高测定WD表面重力分布。我们还讨论了确定未解决的二进制WD只使用光度和天体测量信息的可能性。

英文摘要:

The Gaia mission will provide precise astrometry for an unprecedented number of white dwarfs (WDs), encoding information on stellar evolution, Type Ia supernovae progenitor scenarios, and the star formation and dynamical history of the Milky Way. With such a large data set, it is possible to infer properties of the WD population using only astrometric and photometric information. We demonstrate a framework to accomplish this using a mock data set with SDSS ugriz photometry and Gaia astrometric information. Our technique utilises a Bayesian hierarchical model for inferring properties of a WD population while also taking into account all observational errors of individual objects, as well as selection and incompleteness effects. We demonstrate that photometry alone can constrain the WD population's distributions of temperature, surface gravity and phenomenological type, and that astrometric information significantly improves determination of the WD surface gravity distribution. We also discuss the possibility of identifying unresolved binary WDs using only photometric and astrometric information.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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