Mocking The Universe Using Machine Learning

使用机器学习模拟宇宙

• 批准号: 2276207
• 金额: --
• 依托单位: University of St Andrews
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2276207
• 关键词: Mocking; Universe; Using; Machine; Learning

This project will involve the development of new mock simulations to support the analysis of environmental studies of galaxy formation in DESI data. By using artificial intelligence, we will produce simulations that have sufficient complexity to create realistic mock surveys over the full DESI volume. These mocks can be used to test a wide range of observational techniques and their dependence on environment, such as simple SED fits, clustering, Hierarchical Bayesian modelling of galaxy population, and any observational work that aims to disentangle the many roles of environment in the evolution of galaxies.

该项目将涉及开发新的模拟模拟，以支持对DESI数据中星系形成的环境研究进行分析。通过使用人工智能，我们将产生模拟，有足够的复杂性，以创建逼真的模拟调查整个DESI量。这些模拟可用于测试广泛的观测技术及其对环境的依赖性，例如简单的SED拟合，聚类，星系人口的分层贝叶斯建模，以及任何旨在解开环境在星系演化中的许多角色的观测工作。