arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2201.11724astro-ph.GA
收藏

通过高斯混合模型选择揭示新的高红移类星体种群

Revealing new high redshift quasar populations through Gaussian mixture model selection

J. D. Wagenveld, A. Saxena, K. J. Duncan, H. J. A. Röttgering, M. Zhang

摘要:

提出了一种从大面积光学/红外光度测量中识别候选高红移类星体(HzQs;($z\gtrsim5.5$))的新方法,这些类星体是早期宇宙中超大质量黑洞生长的独特探针.使用高斯混合模型来构建似然性,并结合基于人口统计的知情先验,我们的方法使用贝叶斯框架来分配区分HzQs和污染源的后验概率。我们还包括深层无线电数据,以获得知情的先验。使用现有的HzQ数据在文献中,我们设置了一个后阈值,接受${\sim}90\%$已知的HzQs,而拒绝$>99\%$的污染物,如矮星或较低的红移星系。运行模拟HzQs和污染物的测试样本的概率选择,我们发现,概率方法的效率高于传统的颜色切割,减少了86%的接受的污染物的分数,同时保留了类似的分数HzQs。作为一个测试,我们应用我们的方法,泛星数据发布1(PS1)源目录内的HETDEX春天领域的天空,覆盖400平方米。°的与LOFAR两米巡天数据发布1(LoTSS DR 1)的深层无线电数据相吻合。从PS1中的${\sim}5\times10^5$源的初始样本,我们的选择入围251个候选HzQ,在目视检查后进一步减少到63个。对13个高概率HzQs的浅层光谱跟踪证实了$z=5.66$上一个以前未被发现的类星体,其光度颜色为$i-z = 1.4$,位于根据颜色选择HzQs时通常探测的区域之外。这一发现证明了我们的概率HzQ选择方法在选择更完整的HzQ样本方面的有效性,这在用于大型现有和即将到来的光度数据集时具有希望。

英文摘要:

We present a novel method to identify candidate high redshift quasars (HzQs; ($z\gtrsim5.5$), which are unique probes of supermassive black hole growth in the early Universe, from large area optical/infrared photometric surveys. Using Gaussian Mixture Models to construct likelihoods and incorporate informed priors based on population statistics, our method uses a Bayesian framework to assign posterior probabilities that differentiate between HzQs and contaminating sources. We additionally include deep radio data to obtain informed priors. Using existing HzQ data in the literature, we set a posterior threshold that accepts ${\sim}90\%$ of known HzQs while rejecting $>99\%$ of contaminants such as dwarf stars or lower redshift galaxies. Running the probability selection on test samples of simulated HzQs and contaminants, we find that the efficacy of the probability method is higher than traditional colour cuts, decreasing the fraction of accepted contaminants by 86% while retaining a similar fraction of HzQs. As a test, we apply our method to the Pan-STARRS Data Release 1 (PS1) source catalogue within the HETDEX Spring field area on the sky, covering 400 sq. deg. and coinciding with deep radio data from the LOFAR Two-metre Sky Survey Data Release 1 (LoTSS DR1). From an initial sample of ${\sim}5\times10^5$ sources in PS1, our selection shortlists 251 candidate HzQs, which are further reduced to 63 after visual inspection. Shallow spectroscopic follow-up of 13 high probability HzQs resulted in the confirmation of a previously undiscovered quasar at $z=5.66$ with photometric colours $i-z = 1.4$, lying outside the typically probed regions when selecting HzQs based on colours. This discovery demonstrates the efficacy of our probabilistic HzQ selection method in selecting more complete HzQ samples, which holds promise when employed on large existing and upcoming photometric data sets.

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。

↑