Searching for the connection between ionizing-photon escape and the surface density of star formation at z ∼ 3
Searching for the connection between ionizing-photon escape and the surface density of star formation at z ∼ 3
复制标题
寻找电离光子逃逸与 z ≤ 3 处恒星形成表面密度之间的联系
DOI:
10.1093/mnras/stac1767
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发表时间:
2022
影响因子:
4.8
通讯作者:
Chen, Yuguang
中科院分区:
文献类型:
--
作者:
Pahl, Anthony J;Shapley, Alice;Steidel, Charles C;Reddy, Naveen A;Chen, Yuguang
The connection between the escape fraction of ionizing photons (fesc) and star formation rate surface density (ΣSFR) is a key input for reionization models, but remains untested at high redshift. We analyse 35z∼ 3 galaxies from the Keck Lyman Continuum Survey (KLCS) covered by deep, rest far-UV spectra of the Lyman continuum (LyC) and high-resolutionHST V606imaging, enabling estimates of bothfescand rest-UV sizes. Using Sérsic profile fits toHSTimages and spectral-energy distribution fits to multiband photometry, we measure effective sizes and SFRs for the galaxies in our sample, and separate the sample into two bins of ΣSFR. Based on composite spectra, we estimate 〈fesc〉 for both ΣSFRsubsamples, finding no significant difference in 〈fesc〉 between the two. To test the representativeness of the KLCSHSTsample and robustness of this result, we attempt to recover the well-established correlation betweenfescand Lyα equivalent width. This correlation is not significant within the KLCSHSTsample, indicating that the sample is insufficient for correlatingfescand galaxy properties such as ΣSFR. We perform stacking simulations using the KLCS parent sample to determine the optimal sample size for robust probes of thefesc-ΣSFRconnection to inform future 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 betweenfescand ΣSFRrequires a larger, representative sample spanning a wide dynamic range in galaxies properties such as ΣSFR.
DOI:
10.3847/1538-3881/ab63d5/data
发表时间:
2020-02
期刊:
--
影响因子:
--
作者:
Y. Zou;Fuxiang Liu;Bin Liao;Yu Liu;Yating Chai;Lei Xia
通讯作者:
Y. Zou;Fuxiang Liu;Bin Liao;Yu Liu;Yating Chai;Lei Xia