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）

• 批准号: ST/T003081/1
• 负责人: Nicholas Walton
• 金额: $ 157.94万
• 依托单位: University of Cambridge
• 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: https://gtr.ukri.org/projects?ref=ST%2FT003081%2F1
• 关键词: Cambridge; Astronomical; Survey; Unit; CASU

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.

观测调查天文学正在推动发现，英国在最先进的观测设施的财政和智力投资方面处于领先地位并从中受益。过去十年，使用 WFCAM 和 VISTA 对北半球和南半球进行了近红外综合成像，其中英国在这些调查举措中处于领先地位。这些为广泛的天体物理学提供了重要的见解。未来十年，大规模光谱调查将会到来，以探测成像所揭示的关键群体（星系、恒星、小行星）。英国已准备好通过参与和定义在 WEAVE、4MOST 和 MOONS 等设施上进行的具体调查来引领发现。 2020 年有可能成为“全面”巡天天文学的十年，通过综合成像和光谱尺度数据的结合，能够对所有尺度的天体物理学产生深刻的见解。确保这些设施和调查的科学潜力需要专业知识和系统的可用性，以最佳地从数据中提取信息。在这方面，英国凭借剑桥天文测量单位 (CASU) 遥遥领先，其向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已得到证实。 CASU 一直处于勘测天文学的前沿，既开创了从勘测数据中最佳提取知识的技术，又在利用这些信息进行世界领先的研究方面发挥了积极作用。数据处理和科学交付之间的这种协同作用和反馈已被反复证明对于确保交付最佳的科学数据产品以供最广泛的英国和欧洲天文学家群体利用至关重要。在过去的十年中，CASU 通过 VISTA、WFCAM 和 VST 成像以及 Gaia-ESO VLT 光谱生成了科学数据产品，为几乎所有涉及天体物理学的英国研究所的世界级研究项目提供了支持。 CASU 正在填充天文数据湖，这是社区能够挖掘的重要数据资源，与其他多波长数据（例如欧几里得、柏拉图）相结合，并发现稀有且独特的物体，供 ELT 或 JWST 等设施进一步详细研究。 CASU 的作用在更广泛的背景下得到了认可，ESO 依靠 CASU 从目前在 ESO 调查设施上运行的广泛公共调查中提供科学数据产品。CASU 的设计理念是通过访问 PB 级数据存储系统和专家管道处理系统，针对海量数据提供最佳的人体工程学解决方案。 CASU 处理和分析管道的持续开发、维护和运营将确保英国社区处于有利地位，能够快速科学地利用这些关键的新调查设施的数据。此外，CASU 的专业知识对于应对机器学习辅助发现这些数据所固有的挑战至关重要，并在发展 UK-LSST 伙伴关系时为英国提供潜在资源。该拨款提案建立在 CASU 已取得的巨大进步的基础上，并要求在 2020 年至 2024 年期间为以下活动提供资金： - 设计和开发下一代 ESO / ING 宽视场大规模复用光学摄谱仪 WEAVE、MOONS 和 4MOST 的数据管理和分析系统； - 为英国主导的 VISTA 大规模调查提供科学和分析管道的进一步开发、维护、操作和用户支持； - 运营支持， 为英国主导的 ESO VST 公共调查进行管道处理和进一步开发科学和分析管道； - 部署 CASU 科学数据的高级数据接口，实现机器学习辅助数据挖掘。

项目成果

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
• 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: Monthly Notices of the Royal Astronomical Society
• 影响因子: 4.8
• 作者: Aguado D

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: Astronomy & Astrophysics
• 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

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

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: Monthly Notices of the Royal Astronomical Society
• 影响因子: 4.8
• 作者: Ansarinejad B