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arXiv 2407.08321astro-ph.GAastro-ph.CO
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哈勃前沿场中的中性氢引力透镜模拟

Neutral hydrogen lensing simulations in the Hubble Frontier Fields

Tariq Blecher, Roger Deane, Danail Obreschkow, Ian Heywood

AI总结:

本研究针对中性氢21厘米发射线微弱、难以探测高红移源的问题,开发光线追踪代码模拟哈勃前沿场星系团的透镜化HI图像,识别出高红移高HI质量放大目标,证实MeerKAT可短时间探测且质量约束精度较好。

摘要:

冷气体演化将暗物质晕的形成与宇宙的恒星形成历史联系起来。作为冷气体的主要成分,中性原子氢(HI)可通过其21厘米发射线进行追踪。然而,该发射的微弱性通常将单个探测限制在低红移($z\notag{\raise.17ex\raise.17ex{$\textstyle<$}} \negthickspace \negthickspace \negthickspace \raisebox{-.5ex}{$\textstyle\backsim$} 0.2$)。为解决这一局限,我们研究了瞄准引力透镜系统的潜力。在我们先前星系-星系模拟的基础上,我们开发了一套光线追踪代码,为位于大质量哈勃前沿场星系团后方的已知星系模拟透镜化HI图像。我们的研究结果揭示,在这些星系团透镜场景中存在高HI质量、高HI放大率的系统。通过对数百个源的模拟,我们在红移范围$z\thickapprox 0.7 - 1.5$内识别出了极具吸引力的目标。我们模拟中最具前景的候选体是Abell 370中红移z=0.725的大弧(Great Arc),MeerKAT约50小时的观测即可探测到它。重要的是,推导得出的HI质量预计对透镜模型中的系统不确定性相对不敏感,在95%置信区间下,其约束范围应在约2.5倍以内。

英文摘要:

Cold gas evolution ties the formation of dark matter halos to the star formation history of the universe. A primary component of cold gas, neutral atomic hydrogen (HI), can be traced by its 21-cm emission line. However, the faintness of this emission typically limits individual detections to low redshifts ($z\lesssim 0.2$). To address this limitation, we investigate the potential of targeting gravitationally lensed systems. Building on our prior galaxy-galaxy simulations, we have developed a ray-tracing code to simulate lensed HI images for known galaxies situated behind the massive Hubble Frontier Field galaxy clusters. Our findings reveal the existence of high HI mass, high HI magnification systems in these cluster lensing scenarios. Through simulations of hundreds of sources, we have identified compelling targets within the redshift range $z\approx 0.7 - 1.5$. The most promising candidate from our simulations is the Great Arc at z=0.725 in Abell~370, which should be detectable by MeerKAT in approximately 50 hours. Importantly, the derived HI mass is predicted to be relatively insensitive to systematic uncertainties in the lensing model, and should be constrained within a factor of $\sim 2.5$ for a 95 per cent confidence interval.

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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