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Supernova Cosmology and How to Talk about It: New Approaches to Cosmological Parameter Inference with Type Ia Supernovae and an Assessment of the Education and Public Outreach Program of the Dark Energy Survey

机译:超新星宇宙学及其讨论方法:利用Ia型超新星进行宇宙学参数推断的新方法以及对暗能量调查的教育和公共宣传计划的评估

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摘要

The discovery of the accelerating expansion of the Universe launched a new chapter in modern cosmology. Evidence for this accelerating expansion was first observed using Type Ia supernovae, which are brilliant, standardizable explosions that can be detected at large distances and used to infer cosmological parameters. New surveys are being designed to detect thousands of Type Ia supernovae, ushering in an era where parameter inference is no longer limited by statistics, but by systematic uncertainties. One of these systematics which is not well understood is the progenitor and progenitor environment, which can be investigated by studying properties of the supernova host galaxy. In this dissertation, I use the three-year sample of photometrically-classified and spectroscopically-confirmed Type Ia supernovae from Sloan Digital Sky Survey-II Supernova Survey to explore correlations between supernova luminosity and host-galaxy mass, metallicity, and star-formation rate. Observations suggest that such correlations should be incorporated to improve the standardization of Type Ia supernova luminosities. As such, new techniques for parameter inference will need to accommodate increasingly large samples of supernovae and a variety of standardization models. In this dissertation, I also introduce the BAyesian hierarchical Modeling with BIased Simulations (BAMBIS) algorithm, a novel approach to parameter inference using Type Ia supernovae which can, in principle, include systematics such as host-galaxy correlations in a robust statistical framework.;In addition to offering new scientific research opportunities, the quest to understand the evolution of the cosmos brings excellent opportunities for astronomers to engage in science education and public outreach (EPO). I present an analysis of the Dark Energy Survey EPO program, a unique large-scale astronomy EPO initiative organized and led entirely by professional astronomers. In this analysis, I detail the development of the EPO program as well as analyze the strengths and weaknesses of a subset of specific initiatives. I also discuss scientists' reported methods of communicating science with the public.
机译:宇宙加速发展的发现开启了现代宇宙学的新篇章。最初使用Ia型超新星观测到了这种加速膨胀的证据,这些超新星是明亮的,标准化的爆炸,可以在远距离检测到并用于推断宇宙学参数。正在设计新的调查以探测数千个Ia型超新星,从而开启了一个时代,参数推论不再受统计数据的限制,而是受到系统性不确定性的限制。尚不清楚的祖先和祖先环境是其中一个尚未被很好理解的系统系统,可以通过研究超新星宿主星系的性质来对其进行研究。在本文中,我使用Sloan Digital Sky Survey-II超新星调查的三年经光度分类和光谱确认的Ia型超新星样本,探讨了超新星的光度与宿主星系质量,金属性和恒星形成率之间的关系。 。观察结果表明,应该将这种相关性纳入进来,以提高Ia型超新星发光度的标准化。这样,用于参数推断的新技术将需要适应越来越多的超新星样本和各种标准化模型。在本文中,我还介绍了基于BIased Simulations的BAyesian分层建模(BAMBIS)算法,这是一种使用Ia型超新星进行参数推断的新颖方法,从原理上讲,它可以在鲁棒的统计框架内包括诸如主机-星系相关性的系统信息。除了提供新的科学研究机会之外,寻求了解宇宙演化的探索还为天文学家提供了参与科学教育和公众宣传(EPO)的绝佳机会。我将对“暗能量调查EPO”计划进行分析,这是一项独特的大规模天文学EPO计划,完全由专业天文学家组织和领导。在此分析中,我详细介绍了EPO计划的开发,并分析了部分具体计划的优缺点。我还将讨论科学家报告的与公众交流科学的方法。

著录项

  • 作者

    Wolf, Rachel Cane.;

  • 作者单位

    University of Pennsylvania.;

  • 授予单位 University of Pennsylvania.;
  • 学科 Astrophysics.;Science education.;Astronomy.
  • 学位 Ph.D.
  • 年度 2017
  • 页码 301 p.
  • 总页数 301
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:54:22

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