University of Sussex Astronomy Consolidated Grant 2017-2020

苏塞克斯大学天文学综合补助金 2017-2020

• 批准号: ST/P000525/1
• 负责人: Peter Thomas
• 金额: $ 106.31万
• 依托单位: University of Sussex
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2017
• 资助国家: 英国
• 起止时间: 2017 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=ST%2FP000525%2F1
• 关键词: University; Sussex; Astronomy; Consolidated; Grant

This proposal seeks funds to continue an extensive programme of research into extragalactic astrophysics and cosmology, by addressing some of the most pressing astronomical questions of our time, such as "What are the fundamental constituents of the Universe?", "What is the nature of inflation and dark energy, believed to drive accelerated expansion in the early and late universe", "What processes govern the formation of the largest objects and structure in our universe?, and "How do galaxies form and evolve"? We will do this by combining theoretical work, much of it using high-performance computers, with multi-wavelength observational surveys. We will apply advanced techniques for making numerical predictions, data analysis and modelling, and deploy our skills through a series of international projects.The research consists of fifteen varied but interconnected projects, each involving one or more faculty members and researchers, that can be collected into three broad themes: Early and late universe cosmology; Galaxy simulation and modelling; Galaxy and cluster observations and analysis. In summary:Early and late universe cosmology: a series of projects will address theoretical predictions and observational constraints on inflation, dark energy and large scale structure. Our work encompasses both the development of theoretical frameworks and the analysis of cutting edge observational datasets (including the Planck satellite, the Dark Energy Survey, the XMM-Newton Cluster Survey (XCS), and the POLARBEAR-2 experiment). Galaxy simulation and modelling: we will use Peta-scale computing facilities to carry out detailed studies of the formation and evolution of the first structures, and make statistical predictions that can be used in the exploitation of new and upcoming observational facilities such as JWST, Euclid, LOFAR, ALMA, and SKA.Galaxy and cluster observations: we will make use of multi-wavelength observations to answer a variety of questions concerning the formation and evolution of galaxies. We will continue to exploit our involvement in HerMES, the Dark Energy Survey, the Galaxy and Mass Assembly survey, and XCS. In particular we will develop a new set of advanced tools with which to analyse observations from these projects as well as upcoming facilities such as the James Webb Space Telescope.

该提案寻求资金，通过解决我们这个时代一些最紧迫的天文学问题，继续对河外天体物理学和宇宙学进行广泛的研究，例如“宇宙的基本组成部分是什么？”，“膨胀和暗能量的本质是什么，据信会驱动早期和晚期宇宙的加速膨胀”，“什么过程控制着我们最大的物体和结构的形成”。 宇宙？以及“星系如何形成和演化”？我们将通过将理论工作（其中大部分使用高性能计算机）与多波长观测调查相结合来实现这一目标。我们将应用先进技术进行数值预测、数据分析和建模，并通过一系列国际项目部署我们的技能。该研究由十五个不同但相互关联的项目组成，每个项目都涉及一名或多名教职人员和研究人员， 可以分为三大主题：早期和晚期宇宙宇宙学；星系模拟和建模；星系和星团观测和分析。总结：早期和晚期宇宙宇宙学：一系列项目将解决暴胀、暗能量和大尺度结构的理论预测和观测限制。我们的工作包括理论框架的开发和前沿观测数据集的分析（包括普朗克 卫星、暗能量巡天、XMM-牛顿星团巡天 (XCS) 和 POLARBEAR-2 实验）。星系模拟和建模：我们将使用 Peta 规模的计算设施对第一个结构的形成和演化进行详细研究，并进行统计预测，这些预测可用于开发新的和即将推出的观测设施，例如 JWST、Euclid、LOFAR、ALMA、 SKA.星系和星团观测：我们将利用多波长观测来回答有关星系形成和演化的各种问题。我们将继续利用我们对 HerMES、暗能量巡天、星系和质量组装巡天以及 XCS 的参与。特别是，我们将开发一套新的先进工具，用于分析这些项目以及即将推出的设施（例如詹姆斯 韦伯太空望远镜。

项目成果

Dark Energy Survey Year 3 Results: A 2.7% measurement of Baryon Acoustic Oscillation distance scale at redshift 0.835

• DOI: 10.1103/physrevd.105.043512
• 发表时间: 2021-07
• 作者: D. C. T. Abbott;M. Aguena;S. Allam;F. Andrade-Oliveira;J. Asorey;S. Ávila;G. Bernstein;E. Bertin;A. Brandao-Souza;D. Brooks;D. Burke;J. Calcino;H. Camacho;A. Rosell;D. Carollo;M. Kind;J. Carretero;F. Castander;R. Cawthon;K. Chan;A. Choi;C. Conselice;M. Costanzi;M. Crocce;L. Costa;M. Pereira;T. Davis;J. Vicente;S. Desai;H. Diehl;P. Doel;K. Eckert;J. Elvin-Poole;S. Everett;A. Evrard;X. Fang;I. Ferrero;A. Fert'e;B. Flaugher;P. Fosalba;J. Garc'ia-Bellido;E. Gaztañaga;D. Gerdes;T. Giannantonio;K. Glazebrook;D. Gomes;D. Gruen;R. Gruendl;J. Gschwend;G. Gutiérrez;S. Hinton;D. Hollowood;K. Honscheid;D. Huterer;B. Jain;D. James;T. Jeltema;N. Kokron;E. Krause;K. Kuehn;O. Lahav;G. Lewis;C. Lidman;M. Lima;H. Lin;M. Maia;U. Malik;P. Martini;Peter Melchior;J. Mena-Fern'andez;F. Menanteau;R. Miquel;J. Mohr;R. Morgan;J. Muir;J. Myles;A. Moller;A. Palmese;F. Paz-Chinch'on;W. Percival;A. Pieres;A. P. Malag'on;A. Porredon;J. Prat;M. Rodríguez-Monroy;A. Romer;A. Roodman;R. Rosenfeld;A. Ross;E. Sanchez;D. S. Cid;V. Scarpine;S. Serrano;I. Sevilla-Noarbe;E. Sheldon;M. Smith;M. Soares-Santos;E. Suchyta;M. Swanson;G. Tarlé;D. Thomas;C. To;M. Troxel;B. Tucker;D. Tucker;I. Tutusaus;S. Uddin;T. Varga;J. Weller;R. Wilkinson

Dark Energy Survey year 1 results: Cosmological constraints from galaxy clustering and weak lensing

• DOI: 10.1103/physrevd.98.043526
• 发表时间: 2017-08
• 期刊: Physical Review D
• 影响因子: 5
• 作者: T. Abbott;F. Abdalla;A. Alarcon;J. Aleksić;S. Allam;S. Allen;A. Amara;J. Annis;J. Asorey-J.-As

Dark Energy Survey year 1 results: Constraints on extended cosmological models from galaxy clustering and weak lensing

• DOI: 10.1103/physrevd.99.123505
• 发表时间: 2018-10
• 期刊: Physical Review D
• 影响因子: 5
• 作者: T. Abbott;F. Abdalla;S. Ávila;M. Banerji;E. Baxter;K. Bechtol;M. Becker;E. Bertin;J. Blazek-J.-Blaze

Joint analysis of Dark Energy Survey Year 3 data and CMB lensing from SPT and Planck . III. Combined cosmological constraints

对暗能量调查第 3 年数据以及 SPT 和普朗克的 CMB 透镜的联合分析。

• DOI: 10.1103/physrevd.107.023531
• 发表时间: 2023
• 期刊: Physical Review D
• 影响因子: 5
• 作者: Abbott, T. M. C.;Aguena, M.;Alarcon, A.;Alves, O.;Amon, A.;Andrade-Oliveira, F.;Annis, J.;Ansarinejad, B.;Avila, S.;Bacon, D.
• 通讯作者: Bacon, D.

The Dark Energy Survey Data Release 2

• DOI: 10.3847/1538-4365/ac00b3
• 发表时间: 2021-01
• 期刊: The Astrophysical Journal Supplement Series
• 作者: Des collaboration;T. Abbott;M. Adamów;M. Aguena;S. Allam;A. Amon;J. Annis;S. Ávila;D. Bacon;M. Banerji;K. Bechtol;M. Becker;G. Bernstein;E. Bertin;S. Bhargava;S. Bridle;D. Brooks;D. Burke;A. Rosell;M. Kind;J. Carretero;F. Castander;R. Cawthon;C. Chang;A. Choi;C. Conselice;M. Costanzi;M. Crocce;L. Costa;T. Davis;J. Vicente;J. DeRose;S. Desai;H. Diehl;J. Dietrich;A. Drlica-Wagner;K. Eckert;J. Elvin-Poole;S. Everett;A. Evrard;I. Ferrero;A. Fert'e;B. Flaugher;P. Fosalba;D. Friedel;J. Frieman;J. Garc'ia-Bellido;L. Gelman;D. Gerdes;T. Giannantonio;M. Gill;D. Gruen;R. Gruendl;J. Gschwend;G. Gutiérrez;W. Hartley;S. Hinton;D. Hollowood;K. Honscheid;D. Huterer;D. James;T. Jeltema;M. Johnson;S. Kent;R. Kron;K. Kuehn;N. Kuropatkin;O. Lahav;T. Li;C. Lidman;H. Lin;N. MacCrann;M. Maia;T. Manning;M. March;J. Marshall;P. Martini;Peter Melchior;F. Menanteau;R. Miquel;R. Morgan;J. Myles;E. Neilsen;R. Ogando;A. Palmese;F. Paz-Chinch'on;D. Petravick;A. Pieres;A. Plazas;C. Pond;M. Rodríguez-Monroy;A. Romer;A. Roodman;E. Rykoff;M. Sako;E. Sánchez;B. Santiago;S. Serrano;I. Sevilla-Noarbe;J. A. Smith;M. Smith;M. Soares-Santos;E. Suchyta;M. Swanson;G. Tarlé;D. Thomas;C. To;P. Tremblay;M. Troxel;D. Tucker;D. Turner;T. Varga;A. Walker;Risa Wechsler;J. Weller;W. Wester;R. Wilkinson;B. Yanny;Y. Zhang;R. Nikutta;M. Fitzpatrick;A. Jacques;A. Scott;K. Olsen;L. Huang;D. Herrera;S. Juneau;D. Nidever;B. Weaver;C. Adean;V. Correia;M. D. Freitas;F. Freitas;C. Singulani;G. Vila-Verde