The VISTA Deep Extragalatic Observations (VIDEO) Survey
VISTA 深河外观测 (VIDEO) 调查
基本信息
- 批准号:ST/F002556/1
- 负责人:
- 金额:$ 2.48万
- 依托单位:
- 依托单位国家:英国
- 项目类别:Research Grant
- 财政年份:2008
- 资助国家:英国
- 起止时间:2008 至 无数据
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Astronomy research has come a long way in the past decade. We now know the principal consituents of the Universe in the form of Dark Matter, Dark Energy and normal matter, the material we are able to observe directly. With these parameters now in place we are able to investigate the physical processes which occur in the Universe. One of the most fundamental questions is how the galaxies and the stars and black holes which reside in them are built up over the history of the Universe. To do this we are required to look both far and wide; far because we need to look back in time to when the first galaxies were forming and the finite speed of light means that we do this by looking further and further away, even up to a time when the Universe was less that 1 billion years old (the Universe is currently about 13billion years old); and wide because the way in which galaxies form and evolve can be heavily influenced by the environment in which they reside. For example, one might imagine that the most massive galaxies in the Universe would be surrounded by the most massive cluster of galaxies as all galaxies are attracted to each other via gravity, so massive galaxy may attract more galaxies than a lower mass galaxy. Therefore, we need to look over large areas of the sky in order to get a full picture of galaxy formation and evolution. Obviously, if one goes deep then there is more volume surveyed in the radial direction. Thus, most extragalactic astronomical surveys now have a wedding-cake structure, with the deepest narrowest survey analagous to the top-tier of the wedding cake, and the widest shallowest surveys analagous to the lowest tier. All of these surveys fit together as they probe different but representative volumes of the Universe. The VISTA Deep Extragalactic Observations (VIDEO) survey is a ~200 night survey which will be carried out on the VISTA near-infrared telescope in Paranal, Chile, over the next five years. It is the second deepest survey to be carried out with VISTA, and thus the second highest tier in the wedding cake. The science questions that it will address are wide-ranging but all are concerned with how galaxies form and evolve over the history of the Universe and how this may depend on their environment. It is deep enough to detect the most massive galaxies at a time when they were first beginning to form and wide enough to probe the whole range of environmental density over ~90% of the age of the Universe. Furthermore, the survey will be carried out at infrared wavelengths, where the old stars which dominate massive galaxies emit the bulk of their radiation. This allows us to estimate the mass of the galaxies much better than if we were to work at optical wavelengths where any star-formation activity can boost the emission in the bluer optical bands, leading to a very uncertain estimate of the galaxy mass. We also know that much of the star-formation activity and the light emitted from material acccreting onto a supermassive black hole is obscured by dust. This dust extinguishes the blue light of a galaxy, thus observing in the infrared again gives a much clearer picture of the galaxy. On the completion of the VIDEO survey we will have a much clearer idea of the physical processes governing galaxy formation and evolution over the history of the Universe.
天文学研究在过去十年中取得了长足的进步。我们现在知道宇宙的主要成分以暗物质、暗能量和正常物质的形式存在,这些物质是我们能够直接观察到的。有了这些参数,我们就能够研究宇宙中发生的物理过程。最基本的问题之一是星系以及其中的恒星和黑洞是如何在宇宙历史中形成的。要做到这一点,我们需要放眼长远。远是因为我们需要回顾第一个星系形成的时间,而有限的光速意味着我们要通过观察越来越远的距离来做到这一点,甚至是宇宙年龄不到 10 亿年的时候(宇宙目前的年龄约为 130 亿年);之所以广泛,是因为星系的形成和演化方式很大程度上受到它们所处环境的影响。例如,人们可能会想象宇宙中最大质量的星系将被最大质量的星系团包围,因为所有星系都通过引力相互吸引,因此大质量星系可能会比质量较小的星系吸引更多的星系。因此,我们需要观察大片天空,才能全面了解星系的形成和演化。显然,如果深入,则径向方向上测量的体积会更大。因此,大多数河外天文勘测现在都具有婚礼蛋糕结构,最深最窄的勘测类似于婚礼蛋糕的顶层,而最宽最浅的勘测类似于最低层。所有这些调查都结合在一起,因为它们探测了宇宙中不同但具有代表性的体积。 VISTA 深河外观测 (VIDEO) 调查是一项约 200 晚的调查,将在未来五年内在智利帕拉纳尔的 VISTA 近红外望远镜上进行。这是使用 VISTA 进行的第二深入的调查,因此也是婚礼蛋糕中第二高的调查。它将解决的科学问题范围广泛,但都涉及星系在宇宙历史中如何形成和演化,以及这如何取决于它们的环境。它的深度足以探测到质量最大的星系,当它们刚开始形成时,它的宽度足以探测宇宙年龄约 90% 的整个环境密度范围。此外,这项调查将在红外波长下进行,其中主宰大质量星系的老恒星会发出大部分辐射。这使我们能够比在光学波长下工作更好地估计星系的质量,在光学波长下,任何恒星形成活动都会增加蓝色光学波段的发射,从而导致对星系质量的估计非常不确定。我们还知道,大部分恒星形成活动和吸积到超大质量黑洞的物质发出的光都被尘埃遮蔽了。这些尘埃消除了星系的蓝光,因此再次在红外线中观察可以提供更清晰的星系图像。视频调查完成后,我们将对宇宙历史上控制星系形成和演化的物理过程有更清晰的了解。
项目成果
期刊论文数量(7)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Mergers as triggers for nuclear activity: a near-IR study of the close environment of AGN in the VISTA-VIDEO survey
- DOI:10.1093/mnras/stu009
- 发表时间:2013-12
- 期刊:
- 影响因子:4.8
- 作者:M. Karouzos;M. Jarvis;D. Bonfield
- 通讯作者:M. Karouzos;M. Jarvis;D. Bonfield
The star formation history of mass-selected galaxies from the VIDEO survey
- DOI:10.1093/mnras/stu053
- 发表时间:2014-01
- 期刊:
- 影响因子:4.8
- 作者:J. Zwart;M. Jarvis;R. Deane;D. Bonfield;K. Knowles;N. Madhanpall;H. Rahmani;Daniel J B Smith
- 通讯作者:J. Zwart;M. Jarvis;R. Deane;D. Bonfield;K. Knowles;N. Madhanpall;H. Rahmani;Daniel J B Smith
The sizes, masses and specific star formation rates of massive galaxies at 1.3 < z < 1.5: strong evidence in favour of evolution via minor mergers
- DOI:10.1093/mnras/sts092
- 发表时间:2012-05
- 期刊:
- 影响因子:4.8
- 作者:R. McLure;H. Pearce;J. Dunlop;M. Cirasuolo;E. Curtis-Lake;V. Bruce;K. Caputi;K. Caputi;
- 通讯作者:R. McLure;H. Pearce;J. Dunlop;M. Cirasuolo;E. Curtis-Lake;V. Bruce;K. Caputi;K. Caputi;
Evolution in the bias of faint radio sources to z ~ 2.2
微弱射电源的偏差向 z ~ 2.2 的演变
- DOI:10.1093/mnras/stu453
- 发表时间:2014
- 期刊:
- 影响因子:4.8
- 作者:Lindsay S
- 通讯作者:Lindsay S
AN EXPONENTIAL DECLINE AT THE BRIGHT END OF THE z = 6 GALAXY LUMINOSITY FUNCTION
- DOI:10.1088/0004-6256/145/1/4
- 发表时间:2012-02
- 期刊:
- 影响因子:0
- 作者:C. Willott;R. McLure;P. Hibon;R. Bielby;H. McCracken;J. Kneib;O. Ilbert;D. Bonfield;V. Bruce;M. Jarvis
- 通讯作者:C. Willott;R. McLure;P. Hibon;R. Bielby;H. McCracken;J. Kneib;O. Ilbert;D. Bonfield;V. Bruce;M. Jarvis
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Matthew Jarvis其他文献
P-150: Identification of misclassified multiple myeloma patient risk subgroups with a novel biological disease stratifier
- DOI:
10.1016/s2152-2650(22)00480-3 - 发表时间:
2022-08-01 - 期刊:
- 影响因子:
- 作者:
Afsaneh Panahi;Sarah Grasedieck;Matthew Jarvis;Faezeh Borzooee;Reuben Harris;Mani Larijani;Kevin Song;Arefeh Rouhi;Florian Kuchenbauer - 通讯作者:
Florian Kuchenbauer
Literature and sustainability
文学与可持续发展
- DOI:
- 发表时间:
2015 - 期刊:
- 影响因子:0
- 作者:
L. Squire;Matthew Jarvis - 通讯作者:
Matthew Jarvis
OA-21 Dysregulated APOBEC3B promotes cell proliferation and DNA damage in multiple myeloma
- DOI:
10.1016/s2152-2650(23)01588-4 - 发表时间:
2023-09-01 - 期刊:
- 影响因子:
- 作者:
Afsaneh Panahi;Sarah Grasedieck;Faezeh Borzooee;Matthew Jarvis;Reuben Harris;Mani Larijani;Kevin Song;Arefeh Rouhi;Florian Kuchenbauer - 通讯作者:
Florian Kuchenbauer
Matthew Jarvis的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Matthew Jarvis', 18)}}的其他基金
HIandMIGHTEE: From gas to galaxies with the MIGHTEE survey
HIandMIGHTEE:通过 MIGHTEE 调查从气体到星系
- 批准号:
EP/X026639/1 - 财政年份:2022
- 资助金额:
$ 2.48万 - 项目类别:
Research Grant
相似国自然基金
基于Deep Unrolling的高分辨近红外二区荧光分子断层成像方法研究
- 批准号:12271434
- 批准年份:2022
- 资助金额:46 万元
- 项目类别:面上项目
基于深度森林(Deep Forest)模型的表面增强拉曼光谱分析方法研究
- 批准号:2020A151501709
- 批准年份:2020
- 资助金额:10.0 万元
- 项目类别:省市级项目
面向Deep Web的数据整合关键技术研究
- 批准号:61872168
- 批准年份:2018
- 资助金额:62.0 万元
- 项目类别:面上项目
基于Deep-learning的三江源区冰川监测动态识别技术研究
- 批准号:51769027
- 批准年份:2017
- 资助金额:38.0 万元
- 项目类别:地区科学基金项目
具有时序处理能力的Spiking-Deep Learning(脉冲深度学习)方法研究
- 批准号:61573081
- 批准年份:2015
- 资助金额:64.0 万元
- 项目类别:面上项目
基于语义计算的海量Deep Web知识探索机制研究
- 批准号:61272411
- 批准年份:2012
- 资助金额:80.0 万元
- 项目类别:面上项目
Deep Web数据集成查询结果抽取与整合关键技术研究
- 批准号:61100167
- 批准年份:2011
- 资助金额:20.0 万元
- 项目类别:青年科学基金项目
面向Deep Web的大规模知识库自动构建方法研究
- 批准号:61170020
- 批准年份:2011
- 资助金额:57.0 万元
- 项目类别:面上项目
Deep Web敏感聚合信息保护方法研究
- 批准号:61003054
- 批准年份:2010
- 资助金额:20.0 万元
- 项目类别:青年科学基金项目
基于逻辑强化学习的Deep Web模式匹配研究
- 批准号:61070122
- 批准年份:2010
- 资助金额:32.0 万元
- 项目类别:面上项目
相似海外基金
New approaches to training deep probabilistic models
训练深度概率模型的新方法
- 批准号:
2613115 - 财政年份:2025
- 资助金额:
$ 2.48万 - 项目类别:
Studentship
Deep imaging for understanding molecular processes in complex organisms
深度成像用于了解复杂生物体的分子过程
- 批准号:
LE240100091 - 财政年份:2024
- 资助金额:
$ 2.48万 - 项目类别:
Linkage Infrastructure, Equipment and Facilities
Deep Adder Networks on Edge Devices
边缘设备上的深加法器网络
- 批准号:
FT230100549 - 财政年份:2024
- 资助金额:
$ 2.48万 - 项目类别:
ARC Future Fellowships
Preparation for the Deep Underground Neutrino Experiment and Measurement of Pion-Argon Cross-sections
深部地下中微子实验准备及π-氩截面测量
- 批准号:
2902765 - 财政年份:2024
- 资助金额:
$ 2.48万 - 项目类别:
Studentship
Developing and Visualising a Retrieval-Augmented Deep Learning Model for Population Health Management
开发和可视化用于人口健康管理的检索增强深度学习模型
- 批准号:
2905946 - 财政年份:2024
- 资助金额:
$ 2.48万 - 项目类别:
Studentship
Resolving deep animal phylogeny with irreversible and unrepeatable genomic changes
通过不可逆和不可重复的基因组变化解决深层动物系统发育
- 批准号:
EP/Y023668/1 - 财政年份:2024
- 资助金额:
$ 2.48万 - 项目类别:
Fellowship
DMS-EPSRC: Asymptotic Analysis of Online Training Algorithms in Machine Learning: Recurrent, Graphical, and Deep Neural Networks
DMS-EPSRC:机器学习中在线训练算法的渐近分析:循环、图形和深度神经网络
- 批准号:
EP/Y029089/1 - 财政年份:2024
- 资助金额:
$ 2.48万 - 项目类别:
Research Grant
A MISSING LINK between continental shelves and the deep sea: Addressing the overlooked role of land-detached submarine canyons
大陆架和深海之间缺失的联系:解决与陆地无关的海底峡谷被忽视的作用
- 批准号:
NE/X014975/1 - 财政年份:2024
- 资助金额:
$ 2.48万 - 项目类别:
Research Grant
NI: DEEPHEAT: Digging deep Earth for heat to promote environmental sustainability
NI:DEEPHEAT:挖掘地球深处的热量以促进环境可持续发展
- 批准号:
NE/W004127/2 - 财政年份:2024
- 资助金额:
$ 2.48万 - 项目类别:
Research Grant
Navigating Chemical Space with Natural Language Processing and Deep Learning
利用自然语言处理和深度学习驾驭化学空间
- 批准号:
EP/Y004167/1 - 财政年份:2024
- 资助金额:
$ 2.48万 - 项目类别:
Research Grant














{{item.name}}会员




