arXivDaily arXiv每日学术速递 周一至周五更新
北美退伍军人节(Veterans Day),12 日无更新
arXiv 2103.10964astro-ph.GAastro-ph.IMphysics.data-an
收藏

Sloan数字巡天DR16Q高斯过程的阻尼莱曼α吸收体

Damped Lyman-alpha Absorbers from Sloan Digital Sky Survey DR16Q with Gaussian processes

Ming-Feng Ho, Simeon Bird, Roman Garnett

摘要:

我们提出了一个新的目录的阻尼莱曼- $α$吸收剂从SDSS DR 16 Q,以及新的估计其统计特性。我们的估计是使用Garnett et al.(2017)中提出的高斯过程模型计算的; Ho et al.(2020)使用改进的模型来边缘化每个类星体平均光学深度的不确定性。我们计算了$2 < z < 5$处的列密度分布函数(CDDF)、线密度($\textrm{d} N/ \textrm{d} X$)和中性氢密度($Ω_{\textrm{DLA}}$)。我们的高斯过程模型提供了每个光谱的DLA数量的后验概率分布,因此即使在最嘈杂的数据下,也可以对DLA群体的统计数据进行无偏概率预测。我们测量一个非零的柱密度分布函数的$N_{\textrm{HI}} < 3 \times 10^{22} \,\textrm{cm}^{-2}$与$95\%$置信限,和$N_{\textrm{HI}} \lesssim 10^{22} \,\textrm{cm}^{-2}$的光谱与信噪比$> 4$。我们的DLA线密度和总氢密度的结果与以前的测量是一致的。尽管有一个小的偏差,由于测量不好的光谱的蓝色边缘,我们证明了我们的新模型可以测量DLA人口统计时,DLA是在莱曼- $β$森林地区。我们验证了我们的结果是不敏感的信噪比和红移的背景类星体,虽然残留的相关性仍然从$z_{\textrm{QSO}} < 2.5$的检测,表明一些残留的系统学时,我们的模型应用在非常短的光谱,SDSS光谱观测窗口只覆盖部分的莱曼- $α$森林。

英文摘要:

We present a new catalogue of Damped Lyman-$α$ absorbers from SDSS DR16Q, as well as new estimates of their statistical properties. Our estimates are computed with the Gaussian process models presented in Garnett et al. (2017); Ho et al. (2020) with an improved model for marginalising uncertainty in the mean optical depth of each quasar. We compute the column density distribution function (CDDF) at $2 < z < 5$, the line density ($\textrm{d} N/ \textrm{d} X$), and the neutral hydrogen density ($Ω_{\textrm{DLA}}$). Our Gaussian process model provides a posterior probability distribution of the number of DLAs per spectrum, thus allowing unbiased probabilistic predictions of the statistics of DLA populations even with the noisiest data. We measure a non-zero column density distribution function for $N_{\textrm{HI}} < 3 \times 10^{22} \,\textrm{cm}^{-2}$ with $95\%$ confidence limits, and $N_{\textrm{HI}} \lesssim 10^{22} \,\textrm{cm}^{-2}$ for spectra with signal-to-noise ratios $> 4$. Our results for DLA line density and total hydrogen density are consistent with previous measurements. Despite a small bias due to the poorly measured blue edges of the spectra, we demonstrate that our new model can measure the DLA population statistics when the DLA is in the Lyman-$β$ forest region. We verify our results are not sensitive to the signal-to-noise ratios and redshifts of the background quasars although a residual correlation remains for detections from $z_{\textrm{QSO}} < 2.5$, indicating some residual systematics when applying our models on very short spectra, where the SDSS spectral observing window only covers part of the Lyman-$α$ forest.

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。

↑