Resolving cosmological tensions with diverse data, novel theories and Bayesian machine learning
用多样化的数据、新颖的理论和贝叶斯机器学习解决宇宙学的紧张关系
基本信息
- 批准号:EP/X035344/1
- 负责人:
- 金额:$ 164.72万
- 依托单位:
- 依托单位国家:英国
- 项目类别:Research Grant
- 财政年份:2023
- 资助国家:英国
- 起止时间:2023 至 无数据
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
Our Universe is expanding faster than we expected. The standard model of cosmology predicts a Hubble constant which differs substantially from what we measure it to be. Far from being a problem, this is exciting as it indicates the need for a new model of the Universe. Despite three years of effort however, cosmologists have been unable to resolve this cosmic conundrum.The reasons for this community failure are threefold. First, no single theoretical solution is capable of satisfactorily resolving all discrepancies. Second, disentangling new physics from measurement error is a challenging unsolved problem. Third, our simulation and data analysis pipelines have been designed and tuned in the context of the standard model, which can bias even the most carefully designed approach.This ambitious project proposes to resolve all three of the above and uncover and establish the next cosmological paradigm for theory and data analysis. An interlocking programme of theory, inference and observational research, undertaken by the PI, three postdocs and four PhD students over five years will aim to simultaneously resolve the tensions in both cosmological theories and data processing.The broad aims of the project are to (a) Resolve the tensions between cosmological observations with a new standard model of the universe and next-generation numerical techniques (b) Establish likelihood-free inference at the heart of our cosmological analysis toolkit in preparation for the future onslaught of big cosmological data, and (c) Bring together a diverse set of cosmological and particle physics datasets and organise them in a coherent statistical framework.This is an essential and substantial research effort which only an ERC starting grant can support.
我们的宇宙膨胀得比我们预期的要快。宇宙学的标准模型预测了一个哈勃常数,它与我们测量到的有很大的不同。这远不是一个问题,这是令人兴奋的,因为它表明需要一个新的宇宙模型。然而,尽管三年的努力,宇宙学家仍无法解决这个宇宙难题。这种社区失败的原因有三个方面。首先,没有一个单一的理论解决方案能够令人满意地解决所有的差异。其次,将新物理从测量误差中分离出来是一个具有挑战性的未解决问题。第三,我们的模拟和数据分析管道是在标准模型的背景下设计和调整的,即使是最精心设计的方法也会产生偏差。这个雄心勃勃的项目提议解决上述三个问题,并发现并建立下一个理论和数据分析的宇宙学范式。一个理论、推理和观测研究的环环相扣的项目,由PI、三名博士后和四名博士生在五年的时间里承担,旨在同时解决宇宙学理论和数据处理方面的紧张关系。该项目的总体目标是:(a)用新的宇宙标准模型和下一代数值技术解决宇宙学观测之间的紧张关系;(b)在我们的宇宙学分析工具包的核心建立无似然推断,为未来的大宇宙学数据冲击做准备;(c)汇集各种各样的宇宙学和粒子物理数据集,并将它们组织在一个连贯的统计框架中。这是一项重要而实质性的研究工作,只有ERC的启动资金才能支持。
项目成果
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