论文标题
搜索电离 - 光子逃逸与Z〜3处恒星形成的表面密度之间的连接
Searching for the connection between ionizing-photon escape and the surface density of star formation at z~3
论文作者
论文摘要
电离光子($ f _ {\ rm ESC} $)的逃生分数与恒星形成速率表面密度($σ_{\ rm sfr} $)之间的连接是用于恢复模型的关键输入,但仍未在高红shift处受过测试。我们分析了来自凯克·莱曼连续调查(KLC)的35 Z〜3星系,该星系覆盖在Lyman Continuum(Lyc)和高分辨率HST V $ _ {606} $ Imaging的深,休息的远处光谱中,实现了$ f _ {\ rm rm eSc} $和REST-UV和REST-UV的尺寸。使用Sérsic曲线拟合HST图像和光谱 - 能量分布拟合到多带光度法,我们测量样品中星系中的星系的有效尺寸和恒星形成速率,并将样品分为两个$σ_{\ rm sfr} $的样品。基于复合光谱,我们估计<$ f _ {\ rm esc} $>对于两个$σ_ {\ rm sfr} $ subsamples,在两者之间发现<$ f _ {\ rm Esc} $>在两者之间没有显着差异。为了测试KLCS HST样本的代表性和此结果的鲁棒性,我们试图恢复$ f _ {\ rm ESC} $和ly $α$等效宽度之间的良好相关性。在KLCS HST样本中,此相关性并不重要,表明该样本不足以将$ f _ {\ rm ESC} $和星系属性(例如$σ_ {\ rm sfr} $)相关联。我们使用KLCS父样本执行堆叠模拟,以确定$ f _ {\ rm ESC} $ - $σ_{\ rm sfr} $连接的最佳样本大小,以告知未来的HST LYC观察程序。对于具有独立于电离属性的选择程序,> = 90个对象;对于一个优先观察强烈诱发的LYC源的优先观察,> = 58个对象。更一般而言,测量$ f _ {\ rm enc} $和$σ_{\ rm sfr} $之间的连接需要更大的代表性样本,涵盖星系属性中的广泛动态范围,例如$σ_{\ rm sfr} $。
The connection between the escape fraction of ionizing photons ($f_{\rm esc}$) and star-formation rate surface density ($Σ_{\rm SFR}$) is a key input for reionization models, but remains untested at high redshift. We analyse 35 z~3 galaxies from the Keck Lyman Continuum Survey (KLCS) covered by deep, rest far-UV spectra of the Lyman continuum (LyC) and high-resolution HST V$_{606}$ imaging, enabling estimates of both $f_{\rm esc}$ and rest-UV sizes. Using Sérsic profile fits to HST images and spectral-energy distribution fits to multi-band photometry, we measure effective sizes and star-formation rates for the galaxies in our sample, and separate the sample into two bins of $Σ_{\rm SFR}$. Based on composite spectra, we estimate <$f_{\rm esc}$> for both $Σ_{\rm SFR}$ subsamples, finding no significant difference in <$f_{\rm esc}$> between the two. To test the representativeness of the KLCS HST sample and the robustness of this result, we attempt to recover the well-established correlation between $f_{\rm esc}$ and Ly$α$ equivalent width. This correlation is not significant within the KLCS HST sample, indicating that the sample is not sufficient for correlating $f_{\rm esc}$ and galaxy properties such as $Σ_{\rm SFR}$. We perform stacking simulations using the KLCS parent sample to determine the optimal sample size for robust probes of the $f_{\rm esc}$-$Σ_{\rm SFR}$ connection to inform future HST LyC observing programs. For a program with a selection independent of ionizing properties, >= 90 objects are required; for one preferentially observing strongly-leaking LyC sources, >= 58 objects are required. More generally, measuring the connection between $f_{\rm esc}$ and $Σ_{\rm SFR}$ requires a larger, representative sample spanning a wide dynamic range in galaxies properties such as $Σ_{\rm SFR}$.