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arXiv 2408.13469astro-ph.GA
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一个依赖于气体面密度和红移的射电-红外相关性的简单模型

A simple model of the radio-infrared correlation depending on gas surface density and redshift

Ilsang Yoon

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13 pages, 6 figures, accepted for publication in ApJ
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AI总结：

本文提出了一个依赖气体面密度和红移的射电-红外相关性参数化模型，通过计算高能宇宙射线电子各能量损失过程，将局部相关性外推至高红移，成功解释了高红移星系的观测分布趋势。

摘要：

我们引入了射电-红外相关性（即红外光度与1.4 GHz射电光度之比，$q_{\mbox{\tiny IR}}$）的一个简单参数化模型，该模型考虑了受辐射冷却（同步辐射、轫致辐射、逆康普顿散射）、电离和绝热膨胀支配的高能宇宙射线（CR）电子的能量损失率。我们显式地计算了CR电子的每个能量损失过程并进行了相互比较。利用相关的标度关系，我们将每个过程的能量损失率重写为依赖于气体面密度和红移的形式。通过结合每个能量损失率，同步辐射能量损失率的占比被计算为气体面密度和红移的函数，并用于将已充分确立的“局部”射电-红外相关性外推到高红移宇宙。我们将局部确立的$q_{\mbox{\tiny IR}}$重新表述为依赖于红移和气体面密度的形式，并应用于理解\cite{delvecchio_etal_2021}中高红移星系射电-红外相关性的观测分布。我们的模型预测$q_{\mbox{\tiny IR}}$值与气体面密度反相关，且$q_{\mbox{\tiny IR}}$值对红移的依赖性随星系的气体面密度而变化，这捕捉了恒星质量选定的恒星形成星系$q_{\mbox{\tiny IR}}$值的观测趋势，且受射电-红外选择偏差的影响极小。

英文摘要：

We introduce a simple parametric model of the radio-infrared correlation (i.e., the ratio between the IR luminosity and the 1.4 GHz radio luminosity, $q_{\mbox{\tiny IR}}$) by considering the energy loss rate of high-energy cosmic ray (CR) electron governed by the radiative cooling (synchrotron, bremsstrahlung, inverse Compton scattering), ionization, and adiabatic expansion. Each process of CR electron energy loss is explicitly computed and compared to each other. We rewrite the energy loss rate of each process to be dependent on the gas surface density and redshift using the relevant scaling relations. By combining each energy loss rate, the fraction of the synchrotron energy loss rate is computed as a function of gas surface density and redshift, and used to extrapolate the well-established `local' radio-infrared correlation to the high-redshift universe. The locally established $q_{\mbox{\tiny IR}}$ is reformulated to be dependent upon the redshift and the gas surface density and applied for understanding the observed distribution of the radio-infrared correlation of high-redshift galaxies in \cite{delvecchio_etal_2021}. Our model predicts that $q_{\mbox{\tiny IR}}$ value is anti-correlated with gas surface density and the redshift dependency of $q_{\mbox{\tiny IR}}$ value changes by gas surface density of galaxies, which captures the observed trend of $q_{\mbox{\tiny IR}}$ values for stellar mass selected star forming galaxies with a minimal impact of radio-infrared selection bias.

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