Cambridge Astronomical Survey Unit (CASU): Filling the Astronomical Data Lake (2020-2024)
剑桥天文测量单位 (CASU):填充天文数据湖(2020-2024 年)
基本信息
- 批准号:ST/T003081/1
- 负责人:
- 金额:$ 157.94万
- 依托单位:
- 依托单位国家:英国
- 项目类别:Research Grant
- 财政年份:2020
- 资助国家:英国
- 起止时间:2020 至 无数据
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Observational survey astronomy is powering discovery, with the UK leading and benefiting from its investment, both financially and intellectually in state-of-the-art observational facilities. The last decade has seen the delivery of comprehensive imaging of both the northern and southern hemispheres in the near infrared using WFCAM and VISTA, with the UK leading these survey initiatives. These are providing key insights across a wide range of astrophysics. The next decade sees the arrival of large scale spectroscopic surveys to probe key populations (be they galaxies, stars, asteroids) revealed by the imaging. The UK is well poised to lead discovery, through involvement and definition of the specific surveys to be carried out on these facilities such as WEAVE, 4MOST and MOONS. The 2020's has the potential to be the decade of "total" survey astronomy enabling profound insights into astrophysics at all scales through the combination of comprehensive imaging and spectroscopic scale data. Ensuring the scientific potential of these facilities and surveys requires the availability of expertise and systems to optimally extract information from the data. Here the UK has a substantial lead with the Cambridge Astronomical Survey Unit (CASU) and its proven ability to provide cost effective data systems to the UK and wider communities. CASU have been at the forefront of survey astronomy, both pioneering techniques to optimally extract knowledge from survey data, and also in taking a proactive role in exploiting this information to produce world-leading research. This synergy and feedback between data processing and science delivery has been repeatedly demonstrated to be essential in ensuring delivery of the best possible science data products for exploitation by the widest community of UK and European astronomers. In the last decade, CASU generated science data products from VISTA, WFCAM and VST imaging and Gaia-ESO VLT spectroscopy have supported world-class research programmes across almost every UK institute involved in astrophysics. CASU are filling the astronomical data lake, the vital data resource which the community are able to mine, combine with other multi-wavelength data (e.g. Euclid, PLATO) and discover rare and unique objects for further detailed study by facilities such as the ELT or the JWST. The role of CASU has been acknowledged in the wider context, with ESO relying on CASU to provide the science data products from its wide range of public surveys currently running on the ESO survey facilitiesThe CASU design philosophy is to allow the evolution of an optimal ergonomic solution to this avalanche of data, through access to Petabyte scale data storage systems and expert pipeline processing systems. Continued development, maintenance and operation of the CASU processing and analysis pipelines will ensure that the UK community is well positioned to rapidly scientifically exploit the data from these key new survey facilities. In addition CASU expertise will be essential in meeting the challenges inherent in the application of Machine Learning assisted discovery in these data and provide a potential resource for the UK when developing the UK-LSST partnership. This grant proposal builds on the tremendous advances already made by CASU and requests funding for the period 2020-2024 for the following activities:- Design and development of the data management and analysis systems for the next generation of ESO / ING wide field massively multiplexed optical spectrographs WEAVE, MOONS and 4MOST;- Further development, maintenance, operation and user support of the science and analysis pipelines for the UK-led VISTA large scale surveys;- Operational support, pipeline processing and further development of the science and analysis pipelines for the UK-led ESO VST public surveys;- Deployment of advanced data interfaces to the CASU science data, enabling machine learning assisted mining of the data.
观察性调查天文学正在为发现提供动力,英国在最先进的观察设施中从财务和智力上受益于其投资。在过去的十年中,使用WFCAM和Vista在近红外的北半球和南半球都提供了全面的成像,英国领导了这些调查计划。这些正在提供广泛的天体物理学的关键见解。在接下来的十年中,大规模光谱调查的到来是探测成像揭示的探测关键人群(无论是星系,恒星,小行星)。英国通过参与和定义要在这些设施上进行的特定调查(例如编织,四大和卫星)进行的特定调查来领导发现。 2020年代有可能成为“总”调查天文学的十年,从而通过综合成像和光谱尺度数据的结合结合了各个尺度的天体物理学。确保这些设施和调查的科学潜力需要提供专业知识和系统以最佳从数据中提取信息。在这里,英国在剑桥天文调查部(CASU)及其可靠的能力为英国和更广泛的社区提供具有成本效益的数据系统的能力。 CASU一直处于调查天文学的最前沿,这是从调查数据中最佳提取知识的开创性技术,并且在利用这些信息以进行世界领先的研究方面发挥了积极作用。数据处理与科学交付之间的这种协同和反馈反复被证明是确保英国和欧洲天文学家最广泛社区提供最佳科学数据产品以剥削的最佳科学数据产品。在过去的十年中,CASU从VISTA,WFCAM和VST成像以及Gaia-Eso VLT光谱制作了科学数据产品,支持了几乎所有参与天体物理学的英国研究所的世界一流的研究计划。 CASU正在填补天文数据湖,这是社区能够挖掘的重要数据资源,与其他多波长数据(例如Euclid,Plato)结合使用,并发现稀有和独特的对象,以通过ELT或JWST等设施进行进一步的详细研究。 CASU的作用已在更广泛的背景下得到认可,ESO依靠CASU来提供科学数据产品,目前在ESO调查中进行的广泛的公共调查提供了CASU Design Pholicephony的广泛公共调查,即通过访问PETABYTE SCALATE SCALATE SLODATES SYSTRAME SYSTERS和PERTERT PIPLINESSERMENT和EXTER PIPERT PIPLINSERSENT和EXTER PIPERTERSIDENS PISTERMENT和PERTIESS CASSU的最佳人工工程学解决方案。 CASU处理和分析管道的持续开发,维护和操作将确保英国社区能够迅速科学地利用这些主要新调查设施的数据。此外,CASU专业知识对于应对这些数据中机器学习辅助发现所固有的挑战至关重要,并在建立英国LSST伙伴关系时为英国提供了潜在的资源。 This grant proposal builds on the tremendous advances already made by CASU and requests funding for the period 2020-2024 for the following activities:- Design and development of the data management and analysis systems for the next generation of ESO / ING wide field massively multiplexed optical spectrographs WEAVE, MOONS and 4MOST;- Further development, maintenance, operation and user support of the science and analysis pipelines for the UK-led VISTA large scale surveys;- Operational support,管道处理和进一步开发由英国主导的ESO vST公共调查的科学和分析管道; - 将高级数据接口部署到CASU科学数据,从而使机器学习有助于挖掘数据。
项目成果
期刊论文数量(10)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
The S2 stream: The shreds of a primitive dwarf galaxy
S2 流:原始矮星系的碎片
- DOI:10.17863/cam.70480
- 发表时间:2021
- 期刊:
- 影响因子:0
- 作者:Aguado D
- 通讯作者:Aguado D
The S2 Stream: the shreds of a primitive dwarf galaxy.*
S2 流:原始矮星系的碎片。*
- DOI:10.1093/mnras/staa3250
- 发表时间:2020
- 期刊:
- 影响因子:4.8
- 作者:Aguado D
- 通讯作者:Aguado D
The Dark Energy Survey Data Release 2
- DOI:10.3847/1538-4365/ac00b3
- 发表时间:2021-01
- 期刊:
- 影响因子:0
- 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
- 通讯作者: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
Observational constraints on the optical and near-infrared emission from the neutron star–black hole binary merger candidate S190814bv
- DOI:10.1051/0004-6361/202037669
- 发表时间:2020-02
- 期刊:
- 影响因子:6.5
- 作者:K. Ackley;L. Amati;C. Barbieri;F. Bauer;S. Benetti;M. Bernardini;K. Bhirombhakdi;M. Botticella-M.-Bottice
- 通讯作者:K. Ackley;L. Amati;C. Barbieri;F. Bauer;S. Benetti;M. Bernardini;K. Bhirombhakdi;M. Botticella-M.-Bottice
The nature of sub-millimetre galaxies II: an ALMA comparison of SMG dust heating mechanisms
亚毫米星系的本质 II:SMG 尘埃加热机制的 ALMA 比较
- DOI:10.1093/mnras/stac002
- 发表时间:2022
- 期刊:
- 影响因子:4.8
- 作者:Ansarinejad B
- 通讯作者:Ansarinejad B
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Nicholas Walton其他文献
Nicholas Walton的其他文献
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{{ truncateString('Nicholas Walton', 18)}}的其他基金
Cambridge Astronomical Survey Unit (CASU) (2023-2026): Powering Next Generation Survey Analysis and Processing
剑桥天文测量单位 (CASU)(2023-2026):为下一代测量分析和处理提供动力
- 批准号:
ST/X001857/1 - 财政年份:2023
- 资助金额:
$ 157.94万 - 项目类别:
Research Grant
Gaia CU9: facilitating UK exploitation of Gaia data
Gaia CU9:促进英国对 Gaia 数据的利用
- 批准号:
ST/X002683/1 - 财政年份:2023
- 资助金额:
$ 157.94万 - 项目类别:
Research Grant
MWGaiaDN: Revealing the Milky Way with Gaia
MWGaiaDN:与盖亚一起揭示银河系
- 批准号:
EP/X033066/1 - 财政年份:2023
- 资助金额:
$ 157.94万 - 项目类别:
Research Grant
IRIS: Expanding Data Lake Access Services at CASU / IRIS hardware allocation grant for FY20 for IoA, Cambridge University
IRIS:扩大 CASU 的数据湖访问服务 / IRIS 为剑桥大学 IoA 提供 20 财年硬件分配补助金
- 批准号:
ST/V006231/1 - 财政年份:2020
- 资助金额:
$ 157.94万 - 项目类别:
Research Grant
IRIS: Expanding Data Lake Access Services at CASU / IRIS hardware allocation grant for FY19 for IoA, Cambridge University
IRIS:扩大 CASU 的数据湖访问服务 / IRIS 为剑桥大学 IoA 提供 2019 财年硬件分配补助金
- 批准号:
ST/V00025X/1 - 财政年份:2020
- 资助金额:
$ 157.94万 - 项目类别:
Research Grant
Support to IRIS Collaboration Cambridge Meeting
支持 IRIS 协作剑桥会议
- 批准号:
ST/T001100/1 - 财政年份:2019
- 资助金额:
$ 157.94万 - 项目类别:
Research Grant
IRIS - Digital Sky Surveys at CASU
IRIS - CASU 数字巡天
- 批准号:
ST/T001119/1 - 财政年份:2019
- 资助金额:
$ 157.94万 - 项目类别:
Research Grant
WEAVE: The next generation wide-field spectroscopy facility for the WHT (Cambridge Element: 2017/18)
WEAVE:WHT 的下一代宽场光谱设施(剑桥元素:2017/18)
- 批准号:
ST/P003486/1 - 财政年份:2017
- 资助金额:
$ 157.94万 - 项目类别:
Research Grant
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相似海外基金
Cambridge Astronomical Survey Unit (CASU) (2023-2026): Powering Next Generation Survey Analysis and Processing
剑桥天文测量单位 (CASU)(2023-2026):为下一代测量分析和处理提供动力
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21H04494 - 财政年份:2021
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$ 157.94万 - 项目类别:
Grant-in-Aid for Scientific Research (A)
Cosmology at high redshift probed with hyper-large survey data
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21K13953 - 财政年份:2021
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Comprehensive Survey of Elemental Abundances of Nearby M Dwarfs with Planet Search Data
利用行星搜索数据对附近 M 型矮星的元素丰度进行综合调查
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Grant-in-Aid for Research Activity Start-up
Survey of the Universe changing on sec time scale by wide-field, high-cadence photometry and anomaly detection
通过宽视场、高频率光度测量和异常检测对秒级时间尺度上的宇宙变化进行调查
- 批准号:
21H04491 - 财政年份:2021
- 资助金额:
$ 157.94万 - 项目类别:
Grant-in-Aid for Scientific Research (A)