AI 中文总结
提出贝叶斯方法计算星系不对称性概率，提供稳健不确定性，在WALLABY巡天中可靠测量数量近乎翻倍，增强统计能力。
AI 中文摘要
星系不对称性是表征星系形态的有效方式，尤其是在原子氢21厘米发射探测中。我们提出了一种新颖的贝叶斯方法，用于计算在有噪声的探测中潜在平方差异不对称性的概率。该方法具有多项优势，包括能够恢复先前噪声校正方法无法处理的低不对称值。更重要的是，我们的方法提供了关于不对称性的稳健不确定性，从而支持对星系群体进行广泛的统计研究。该方法可推广至卷积噪声测量。我们通过收敛性测试验证了该方法。最后，我们展示了当应用于无目标HI巡天WALLABY时，与先前最先进技术相比，我们的方法使可靠测量的数量几乎增加了两倍。这种测量不对称性的贝叶斯方法将进一步释放广域星系巡天的统计能力。
英文摘要
Galaxy asymmetry is an efficient way to characterize galaxy morphology in atomic hydrogen 21 cm emission detections. We propose a novel Bayesian approach to calculate the probability of an underlying squared differences asymmetry in a noisy detection. This approach has a number of advantages, including the recovery of low asymmetry values where prior noise corrections failed. More importantly, our approach provides robust uncertainties on the asymmetry, enabling a wide variety of statistical studies of galaxy populations. This method is generalized for convolved noise measures. We validate our method using a convergence test. Finally, we show how, when applied to the untargeted HI survey WALLABY, our method nearly triples the number of reliable measurements relatively to the previous state-of-the-art technique. This Bayesian approach to measure asymmetry will therefore further unlock the statistical power of widefield galaxy surveys.
Comments19 pages, 7 figures
