Stellar populations in galaxies with the large galaxy survey SDSS-IV/MaNGA

这位候选人将在APO(漫画)上从事绘制附近星系的项目，该项目是新墨西哥州斯隆2.5米望远镜进行的第四代斯隆数字巡天(SDSS-IV)的一部分。漫画是一种基于光纤的多目标IFU，将在6年内瞄准10,000个星系，运行到2020年夏天。漫画将首次将恒星群和星系内气体的内部运动学和空间分辨性质作为局部环境和光晕质量的函数进行研究。在这个特别的项目中，我们将研究星系的恒星群属性，即它们的形成年龄和金属丰度，如何随着星系环境和暗物质晕质量的变化而在空间上发生变化。这项工作是在Goddard等人(2017)和Parikh等人(2018)发表的与以前和现在的博士生的工作基础上进行的。该项目将涉及巨蟒编程，并包括使用星系光谱、大数据和我们的超级计算机。科学分析将提供对支配宇宙中星系和结构形成和演化的物理过程的关键洞察。

The candidate will work on the project Mapping Nearby Galaxies at APO (MaNGA), which is part ofthe fourth generation Sloan Digital Sky Survey (SDSS-IV) conducted on the Sloan 2.5m Telescope inNew Mexico. MaNGA is an optical fiber-based multi-object IFU that will target 10,000 galaxies over a6 year campaign operating until summer 2020. MaNGA will allow the internal kinematics and spatiallyresolved properties of stellar populations and gas inside galaxies to be studied as a function of localenvironment and halo mass for the very first time. In this particular project we will study how stellarpopulation properties of galaxies, i.e. their formation ages and metal abundances, vary spatially in galaxies as a function of galaxy environment and dark matter halo mass. This work follows on workwe have published with previous and current PhD students in Goddard et al (2017) and Parikh et al(2018). The project will involve python programming and include work with galaxy spectra, big data,and our supercomputer. The scientific analysis will provide key insight into the physical processes thatgovern the formation and evolution of galaxies and structure in the Universe.