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Intermediate and Low-mass Young Stellar Populations in the Magellanic Clouds

麦哲伦星云中的中质量和低质量年轻恒星族

基本信息

批准号：
2758988
负责人：
金额：
--
依托单位：
Keele University
依托单位国家：
英国
项目类别：
Studentship
财政年份：
2022
资助国家：
英国
起止时间：
2022 至无数据
项目状态：
未结题

来源：
https://gtr.ukri.org/projects?ref=studentship-2758988
关键词：
Intermediate Low mass Young Stellar

项目摘要

The Large and Small Magellanic Clouds (MCs) are the nearest templates for the detailed study of star formation under metal-poor conditions. These galaxies mirror the conditions typical of galaxies during the early phases of their assembly, providing a stepping stone to understand star formation at high redshift where such processes cannot be directly observed. This PhD research will use near-IR photometry from the Vista Magellanic Cloud (VMC) Survey combined with optical photometry from the SMASH survey to constrains and characterise young stellar populations in the MCs. This project focuses on two 1.2 degree squared regions in the sky, one in each galaxy, that contain well over two million sources observed over 20 epochs. The student will perform PSF photometry on the VMC images of these regions, using tools developed by consortium members, for which at medium length work visit is envisaged. The point sources represent different stellar populations, that need to be disentangled so that the young stars can be identified and characterised. The student will use statistical methods including supervised machine learning to identify young stars, construct the Initial Mass Function across whole star formation complexes, map and quantify the true extent of these regions and the interplay with the gas and dust. This project can also make use of the VMC survey multi-epoch data to characterise massive young stellar variability across the MCs, to constrain any environmental dependence on the galactic environment. The available light curves need to be analysed to identify and characterise variables, the most extreme of which are the young stars.

大麦哲伦云和小麦哲伦云是详细研究贫金属条件下星星形成的最接近的模板。这些星系反映了星系在组装早期的典型条件，为理解高红移下星星的形成提供了一块垫脚石，因为高红移无法直接观察到这种过程。这项博士研究将使用Vista麦哲伦云（VMC）调查的近红外测光，结合SMASH调查的光学测光，以限制和抑制MC中的年轻恒星种群。该项目的重点是天空中两个1.2平方度的区域，每个星系中有一个，其中包含超过20个纪元观察到的超过200万个源。学生将使用联盟成员开发的工具对这些地区的VMC图像进行PSF测光，预计将进行中等长度的工作访问。点源代表不同的恒星群体，需要解开，以便年轻的恒星可以识别和表征。学生将使用包括监督机器学习在内的统计方法来识别年轻恒星，构建整个星星形成复合体的初始质量函数，绘制和量化这些区域的真实范围以及与气体和尘埃的相互作用。该项目还可以利用VMC调查多历元数据来分析MC中大量年轻恒星的变化，以限制对银河系环境的任何环境依赖性。需要对现有的光变曲线进行分析，以识别和测量变星，其中最极端的是年轻恒星。