一种新的H I叠加工具HISS在NIBLES谱中的应用
HISS, a new tool for H I stacking: application to NIBLES spectra
摘要：
H I叠加已被证明是一个非常有效的工具，统计分析平均H I属性的星系样本，可能会或可能不会被直接检测到。随着大量的H I数据预计从各种即将到来的H I调查与SKA先驱者和探路者望远镜，这将有助于标准化的方式进行叠加分析。在这项工作中，我们提出了一个新的基于Python的包，HISS，旨在堆叠H I（发射和吸收）光谱在一个一致的和可靠的方式。作为一个例子，我们使用HISS研究的H I含量在各种星系的子样本从NIBLES调查的SDSS星系被选中代表他们的整个范围内的总恒星质量没有事先的颜色选择。这使我们能够比较星系的颜色，平均H I含量在检测和未检测到的星系。我们的样本，恒星质量范围为10 ^8 \lt { M}_ \star（M_ \odot）\lt 10^{12}，使我们能够探测氢与恒星质量气体分数的关系，比以前的叠加研究低半个数量级以上。
英文摘要：
H I stacking has proven to be a highly effective tool to statistically analyse average H I properties for samples of galaxies which may or may not be directly detected. With the plethora of H I data expected from the various upcoming H I surveys with the SKA Precursor and Pathfinder telescopes, it will be helpful to standardize the way in which stacking analyses are conducted. In this work we present a new PYTHON-based package, HISS, designed to stack H I (emission and absorption) spectra in a consistent and reliable manner. As an example, we use HISS to study the H I content in various galaxy sub-samples from the NIBLES survey of SDSS galaxies which were selected to represent their entire range in total stellar mass without a prior colour selection. This allowed us to compare the galaxy colour to average H I content in both detected and non-detected galaxies. Our sample, with a stellar mass range of 10^8 \lt { M}_\star (M_\odot) \lt 10^{12}, has enabled us to probe the H I-to-stellar mass gas fraction relationship more than half an order of magnitude lower than in previous stacking studies.
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