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Cambridge Astronomical Survey Unit (CASU): Filling the Astronomical Data Lake (2020-2024)

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:
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
项目状态:
已结题
起止时间:
2020 至 --

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中文摘要
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英文摘要
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.
期刊论文(10)
专著(0)
科研奖励(0)
会议论文
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: --
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: Monthly Notices of the Royal Astronomical Society
影响因子: 4.8
作者: [Aguado D]
通讯作者: Aguado D
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]
通讯作者: K. Ackley;L. Amati;C. Barbieri;F. Bauer;S. Benetti;M. Bernardini;K. Bhirombhakdi;M. Botticella-M.-Bottice
DOI: 10.3847/1538-4365/ac00b3
发表时间: 2021-01
期刊: The Astrophysical Journal Supplement Series
影响因子: --
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
10
    Cambridge Astronomical Survey Unit (CASU) (2023-2026): Powering Next Generation Survey Analysis and Processing
    • 批准号:
      ST/X001857/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $234.05万
    • 财政年份:
      2023
    • 负责人:
      Nicholas Walton
    • 依托单位:
    Gaia CU9: facilitating UK exploitation of Gaia data
    • 批准号:
      ST/X002683/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $82.15万
    • 财政年份:
      2023
    • 负责人:
      Nicholas Walton
    • 依托单位:
    MWGaiaDN: Revealing the Milky Way with Gaia
    • 批准号:
      EP/X033066/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $33.8万
    • 财政年份:
      2023
    • 负责人:
      Nicholas Walton
    • 依托单位:
    IRIS: Expanding Data Lake Access Services at CASU / IRIS hardware allocation grant for FY20 for IoA, Cambridge University
    • 批准号:
      ST/V006231/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $19.11万
    • 财政年份:
      2020
    • 负责人:
      Nicholas Walton
    • 依托单位:
    海外基金