arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1905.04593astro-ph.GAastro-ph.COastro-ph.IM
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用模拟解释选择偏差:一般方法和毫米波长测量的应用

Accounting for selection bias using simulations: A general method and an application to millimeter-wavelength surveys

Megan B. Gralla, Tobias A. Marriage

摘要:

我们发展了一种新的贝叶斯方法来校正天文源的通量密度。混合方法结合了模拟的可能性模型调查选择与分析源计数为基础的先验。模拟的似然捕获复杂选择方法的效果,诸如多频滤波或对恢复的样本属性施加的限制(例如,颜色切割)。模拟还能够捕捉不可预见的不确定性来源。通过这种方式,该方法使得贝叶斯技术能够得到更广泛的应用。分析先验的使用允许假设源计数模型的变化,而无需重新模拟可能性。我们提出的方法,以及一个应用程序的详细描述,从阿塔卡玛宇宙望远镜的实际调查数据。

英文摘要:

We have developed a new Bayesian method to correct the flux densities of astronomical sources. The hybrid method combines a simulated likelihood to model survey selection together with an analytic source-count-based prior. The simulated likelihood captures the effect of complicated selection methods, such as multi-frequency filtering or imposed restrictions on recovered sample properties (e.g., color cuts). Simulations are also able to capture unanticipated sources of uncertainty. In this way, the method enables a broader application of Bayesian techniques. Use of an analytic prior allows variation of assumed source count models without re-simulating the likelihood. We present the method along with a detailed description of an application to real survey data from the Atacama Cosmology Telescope.

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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