首页> 外文学位 >Coupled and catalyzed quintessence: A general approach.
【24h】

Coupled and catalyzed quintessence: A general approach.

机译:耦合和催化的精髓:一种通用方法。

获取原文
获取原文并翻译 | 示例

摘要

A cosmological theory that predicts a late-time accelerated attractor on which there is a constant ratio of dark matter to dark energy can be said to solve the Coincidence Problem. Such theories can naturally arise from conformal transformations of non-standard gravity which generate couplings between scalar fields and matter. The present work determines the class of these theories that can solve the Coincidence Problem. Within the class that can do so, a new model dubbed Catalyzed Quintessence is found that shares many features with the Coupled Quintessence Model but which solves the Coincidence Problem in a larger region of parameter space. The perturbation equations were derived in both Catalyzed Quintessence and generalized Coupled Quintessence Models so that predictions of these models could be compared to Cosmic Microwave Background (CMB) and Large-Scale Structure (LSS) data. The Coupled Quintessence Model is implemented in CAMB, a public code for calculating predicted CMB and LSS power spectra, and order-of-magnitude estimates for its free parameters were found using a Markov Chain Monte Carlo algorithm.
机译:可以将预测暗物质与暗能量之比恒定的晚期加速吸引子的宇宙学理论称为解决重合问题的方法。这样的理论自然可以源于非标准重力的保形变换,它在标量场与物质之间产生耦合。本工作确定了可以解决重合问题的这些理论的类别。在可以做到这一点的课程中,发现了一个称为“催化精粹”的新模型,该模型与“耦合精粹”模型具有许多功能,但可以在较大的参数空间区域内解决重合问题。扰动方程式是在催化的典型模型和广义的耦合的典型模型中导出的,因此可以将这些模型的预测与宇宙微波背景(CMB)和大规模结构(LSS)数据进行比较。耦合精妙模型在CAMB中实现,用于计算预测CMB和LSS功率谱的公共代码,并使用Markov Chain Monte Carlo算法找到了其自由参数的量级估计。

著录项

  • 作者

    Crooks, James Lewis.;

  • 作者单位

    The University of North Carolina at Chapel Hill.;

  • 授予单位 The University of North Carolina at Chapel Hill.;
  • 学科 Physics Astronomy and Astrophysics.; Physics Elementary Particles and High Energy.
  • 学位 Ph.D.
  • 年度 2005
  • 页码 113 p.
  • 总页数 113
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 天文学;高能物理学;
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号