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arXiv 2601.22014astro-ph.SR
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用于识别Be星候选者的技术中的倾角偏差

Inclination Bias in Techniques Used to Identify Be Star Candidates

The University of Western Ontario(韦仕敦大学)

B. D. Lailey, T. A. A. Sigut

AI总结:

本文研究了识别Be星候选者的方法在倾角上的偏差,发现光谱学方法对高倾角有显著偏差,而两种光度学方法对低倾角和高倾角均有偏差,导致中等倾角的检测率偏高。

摘要:

几种用于识别Be星候选者的办法被审查,以检查其对系统倾角的观测偏差,即恒星/盘旋转轴与观测者视线之间的角度,重点是两种利用以Hα为中心的窄带滤光片的光度学方法,以及一种使用Hα峰值寻找算法的光谱学方法。通过使用从Salpeter初始质量函数和计算的光谱能量分布和Hα轮廓库中抽出的20000个合成Be星样本,进行了偏差测试。光谱学方法对高倾角(i>80°)有显著偏差。两种光度学方法都对低倾角有偏差,其中一种对倾角超过80°也有偏差,导致中等倾角(50°<i<80°)的Be星候选者检测率出现过剩。给出了三种方法的倾角概率分布,包括随机的sin i因子,可以应用于观测样本。

英文摘要:

Several methods for identifying Be star candidates are reviewed for observational bias with respect to system inclination, that is the angle between the stellar/disk rotation axis and the observer's line of sight, with focus on two photometric methods that leverage narrow-band filters centred on H$α$ and a spectroscopic method using a H$α$ peak-finding algorithm. Tests for bias were performed using a sample of 20,000 synthetic Be stars drawn from a Salpeter initial mass function and computed libraries of spectral energy distributions and H$α$ profiles. The spectroscopic method showed substantial bias against high inclinations ($i > 80^\circ$). Both photometric methods were biased against low inclinations, with one also biased against inclinations above $80^\circ$, resulting in a surplus in the Be star candidate detection rate for moderate inclinations ($ 50^\circ < i < 80^\circ$). Inclination probability distributions, including the random $\sin i$ factor, are given for the three methods that can be applied to observational samples.

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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