arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2006.09667astro-ph.EPastro-ph.IM
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系外行星发生率的近似贝叶斯计算与Poisson-Likestive方法的比较

Comparing Approximate Bayesian Computation with the Poisson-Likelihood Method for Exoplanet Occurrence Rates

Michelle Kunimoto, Steve Bryson

摘要:

我们提出了开普勒系外行星的发生率推断近似贝叶斯计算(ABC)。通过使用与Bryson等人(2020)相同的行星目录,恒星样本以及完整性和可靠性的表征,我们能够提供ABC结果与流行的泊松似然方法得出的结果的第一次直接比较。对于行星的轨道周期在50和400天之间,半径在0.75和2.5 $R_{\oplus}$之间,我们发现一个综合的发生率$F_{0} = 0.596_{-0.099}^{+0.092}$行星每GK矮星。在对天体物理学误报和假警报进行可靠性校正后,我们发现了$F_{0} = 0.421_{-0.072}^{+0.086}$。我们的研究结果在Bryson等人(2020)的1 $σ$范围内一致,表明结果稳健且不依赖于方法。

英文摘要:

We present Kepler exoplanet occurrence rates inferred with approximate Bayesian computation (ABC). By using the same planet catalogue, stellar sample, and characterization of completeness and reliability as Bryson et al. (2020), we are able to provide the first direct comparison of results from ABC to those derived with the popular Poisson-likelihood method. For planets with orbital periods between 50 and 400 days and radii between 0.75 and 2.5 $R_{\oplus}$, we find an integrated occurrence rate $F_{0} = 0.596_{-0.099}^{+0.092}$ planets per GK dwarf star. After correcting for reliability against astrophysical false positives and false alarms, we find $F_{0} = 0.421_{-0.072}^{+0.086}$. Our findings agree within 1$σ$ of Bryson et al. (2020), indicating that the results are robust and not method-dependent.

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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