标题： 连接重子：SKA HI巡天的多波段数据 显示英文标题

标题： Connecting the Baryons: Multiwavelength Data for SKA HI Surveys

摘要： SKA的氢原子谱线（HI）巡天所能取得的科学成果将通过结合其他波段的数据而大大增加。 这些多波段数据集将使研究能够超越孤立地理解氢原子气体，转而理解氢原子气体作为驱动星系演化的高度复杂重子过程的一个组成部分。 随着星系的演化，它们会经历各种环境和反馈影响，其中许多可能对其气体含量产生重大影响。 重要的过程包括：吸积（热模式和冷模式，以及合并）、消耗（恒星形成、星系风、活动星系核）、相变（电离/原子/分子）、以及环境效应（冲击压力剥离、潮汐效应、窒息效应）。 所有这些过程在不同程度上都受到暗物质分布的影响。 反过来，这些过程的结果可能会显著改变最终观测到的重子状态（恒星群体、尘埃、化学成分）及其形态（星系类型、核球与盘比值、棒状结构、扭曲、径向分布）。 要全面理解氢原子气体的演化及其在星系演化中的作用，需要能够量化每种独立的过程，因此需要协调SKA的氢原子谱线巡天与其他广泛的多波段测光和光谱学活动。 此外，多波段数据对于诸如氢原子气体的堆叠分析和强度映射交叉相关等统计方法也是必不可少的。 在本章中，我们将探讨获取与星系际SKA氢原子谱线巡天相匹配的多波段数据的一些主要科学动机，并回顾目前计划实现这一目标的能力（例如，LSST、Euclid、W-FIRST、SPICA、ALMA和4MOST）。 显示英文摘要

摘要： The science achievable with SKA HI surveys will be greatly increased through the combination of HI data with that at other wavelengths. These multiwavelength datasets will enable studies to move beyond an understanding of HI gas in isolation to instead understand HI as an integral part of the highly complex baryonic processes that drive galaxy evolution. As they evolve, galaxies experience a host of environmental and feedback influences, many of which can radically impact their gas content. Important processes include: accretion (hot and cold mode, mergers), depletion (star formation, galactic winds, AGN), phase changes (ionised/atomic/molecular), and environmental effects (ram pressure stripping, tidal effects, strangulation). Governing all of these to various extents is the underlying dark matter distribution. In turn, the result of these processes can significantly alter the baryonic states in which material is finally observed (stellar populations, dust, chemistry) and its morphology (galaxy type, bulge/disk ratio, bars, warps, radial profile). To fully understand the evolution of HI and the role it plays in galactic evolution requires the ability to quantify each of these separate processes, and hence to coordinate SKA HI surveys with extensive multi-band photometric and spectroscopic campaigns. In addition, multiwavelength data is essential for statistical methods of HI analysis such as HI stacking and intensity mapping cross-correlations. In this chapter, we examine some of the principal science motivations for acquiring multiwavelength data to match that from the extragalactic SKA HI surveys, and review the currently planned capacity to achieve this (eg. LSST, Euclid, W-FIRST, SPICA, ALMA, and 4MOST).