arXivDaily arXiv每日学术速递 周一至周五更新
arXiv周末暂无论文更新,休息一下吧,周末愉快~~
arXiv 2001.01728astro-ph.GAastro-ph.CO
收藏

低表面亮度宇宙:星系演化研究的新前沿

The low-surface-brightness Universe: a new frontier in the study of galaxy evolution

Sugata Kaviraj

摘要:

来自HSC,LSST和EUCLID等仪器的新的和即将到来的深宽调查,通过揭示过去广域数据集中基本上不可见的星系方面,有望彻底改变我们对星系演化的理解。这些调查将首次在宇宙学距离上打开低表面亮度(LSB)和矮星系的领域-它们主导着星系的数量密度。他们还将揭示关键的,未探索的LSB结构,这些结构强烈限制了我们的结构形成范式,例如合并引起的潮汐特征和集群内光。然而,利用这些革命性的新数据集将需要我们解决几个数据分析挑战。数据处理管道将不得不保留LSB结构,这容易受到天空过度减法的影响。对巨大数据量的分析将需要机器学习(特别是无监督技术),以增强甚至取代传统方法。宇宙学模拟对于星系演化物理学的统计理解至关重要,需要足够高的质量和空间分辨率来分辨LSB/矮星系和LSB结构。最后,对物理性质(如恒星质量和恒星形成率)的估计需要可靠的红移信息。由于即使是下一代摄谱仪也不太可能在附近宇宙之外的LSB/矮区域提供完整的光谱覆盖,光度红移可能会从这些数据集中推动科学。因此,这些红移的精确度必须足够好(例如<10%),才能在LSB/矮星区进行统计研究。我概述了新的/即将到来的深宽调查的巨大发现潜力,并描述了使我们能够解决上述数据分析挑战的技术。(节录)

英文摘要:

New and forthcoming deep-wide surveys, from instruments like the HSC, LSST and EUCLID, are poised to revolutionize our understanding of galaxy evolution, by revealing aspects of galaxies that are largely invisible in past wide-area datasets. These surveys will open up the realm of low-surface-brightness (LSB) and dwarf galaxies -- which dominate the galaxy number density -- for the first time at cosmological distances. They will also reveal key, unexplored LSB structures which strongly constrain our structure-formation paradigm, such as merger-induced tidal features and intra-cluster light. However, exploitation of these revolutionary new datasets will require us to address several data-analysis challenges. Data-processing pipelines will have to preserve LSB structures, which are susceptible to sky over-subtraction. Analysis of the prodigious data volumes will require machine-learning (in particular unsupervised techniques), to augment or even replace traditional methods. Cosmological simulations, which are essential for a statistical understanding of the physics of galaxy evolution, will require mass and spatial resolutions that are high enough to resolve LSB/dwarf galaxies and LSB structures. And finally, estimation of physical properties (e.g. stellar masses and star formation rates) will require reliable redshift information. Since it is unlikely that even next-generation spectrographs will provide complete spectral coverage in the LSB/dwarf regime outside the nearby Universe, photometric redshifts may drive the science from these datasets. It is necessary, therefore, that the accuracy of these redshifts is good enough (e.g. < 10 per cent) to enable statistical studies in the LSB/dwarf regime. I outline the tremendous discovery potential of new/forthcoming deep-wide surveys and describe techniques which will enable us to solve the data-analysis challenges outlined above. (Abridged)

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑