Studying Galaxy Formation and Evolution with New Data, Models, and Methods

AST0205944这个项目的目标是提高对星系形成和演化中的关键问题的理解，特别是暗物质晕结构的起源和它们的重子内容的演化。它将通过开发基于高分辨率模拟并针对高分辨率模拟进行测试的解析和半解析处理来解决出现的有关冷暗物质(CDM)类型模型的问题。这些将提供星系高红移和低红移的详细预测，并与空间和地面数据进行比较，特别是来自银河系外深部进化探测器(DEEP)计划的数据。这些模拟的特点是使用了自适应细化树(ART)技术，该技术自动调整分辨率以跟踪密集区域的粒子，现在可以使用不同质量的粒子来提高质量和力的分辨率。这使得能够识别出所有可以容纳明亮星系的暗物质晕。此外，该项目将使用另一种工具--半解析合并(SAM)来模拟清洁发展机制星系形成中各种恒星形成和反馈情景的结果。这些SAM模型将用于研究星系的结构和化学演化，包括气体冷却、恒星形成、超新星反馈、卫星合并和尘埃的影响。它们对尘埃排放进行建模，并允许在从远紫外线到亚毫米的波长范围内预测星系数量和综合背景。这些预测对于解释来自COBE、SIRTF、GALEX等先前和计划的太空任务的数据将是非常宝贵的。ART和SAM模型的计算机代码将向公众公布。*

AST 0205944PrimackThe goals of this project are to improve the understanding of key issues in galaxy formation and evolution, especially the origin of the structure of dark matter halos and the evolution of their baryonic contents. It will address the questions that have arisen concerning cold dark matter (CDM) type models by developing analytic and semi-analytic treatments based on, and tested against, high-resolution simulations. These will provide detailed predictions of galaxy properties at both high and low redshifts, to be compared to space and ground based data especially from the Deep Extragalactic Evolutionary Probe (DEEP) program. These simulations feature use of the Adaptive Refinement Tree (ART) technique, which adjusts the resolution automatically to follow particles in dense regions, and can now use particles of different masses to improve mass and force resolution. This permits the identification of all dark matter halos that can harbor bright galaxies. In addition the project will use a second tool, Semi-Analytic Merging (SAM) to model the outcomes of various star formation and feedback scenarios in CDM galaxy formation. These SAM models will be used to study the structural and chemical evolution of galaxies, including gas cooling, star formation, supernova feedback, satellite merging, and the effects of dust. They model dust emission, and allow the prediction of galaxy counts and integrated backgrounds over wavelengths from the far-UV to the sub-mm. These predictions will be invaluable for interpreting data from previous and planned space missions such as COBE, SIRTF, GALEX, etc. The computer codes for the ART and SAM models will be made available to the public..***