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The Large Synoptic Survey Telescope Project Bob Mann Wide-Field Astronomy Unit University of Edinburgh.

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Presentation on theme: "The Large Synoptic Survey Telescope Project Bob Mann Wide-Field Astronomy Unit University of Edinburgh."— Presentation transcript:

1 The Large Synoptic Survey Telescope Project Bob Mann Wide-Field Astronomy Unit University of Edinburgh

2  Several large astro projects represented here  e.g. LSST, SKA, Euclid, LOFAR  All have significant computing challenges  Some similarities & some differences between them  Expert data centres crucial to success of all of them  But what about requirements from users?  How will astronomers use the data from these projects?

3 PARTICLE PHYSICISTS*  Mainly work within 1 expt.  Expts. are multi-institutional and multi-national  (CERN) strong central control: top-down structure  Expt. uses its own data  Take code to the data now  Have long-term preservation of data in usable form ensured by CERN ASTRONOMERS  Work within several consortia  Consortia are multi-institutional and multi-national  No central control: any structure is built bottom-up  Cons. use data from many sources  Will take code to data soon  Have raw and pipeline-reduced data in telescope archives  No guarantee that complete multi-wavelength dataset will be preserved after cons. dissolves *as I understand it, at least

4  Consortium  4 UK groups, 2 US, Germany, Portugal, South Africa  People in other groups involved for some parts of project  Data  XMM: ESA (proprietary to CoIs, then public)  Sloan Digital Sky Survey: (prop. to SDSS, then public)  ESO Public Surveys: (prop. to ESO, then public)  Our own NOAO imaging survey: (prop. to us, then public)  Gemini spectroscopy: (prop. to us, then public)  Dark Energy Survey: (prop. to DES, shared via agreement)  AAO spectroscopy: (prop. to CoIs, shared via agreement) ……  Data management  Undertaken part-time by science postdocs on best-efforts basis: ftp directories, file links from wikis and webpages, etc

5 1. Ready access to many distributed data sources  through standard protocols and respecting proprietary restrictions where they exist 2. Sharable storage space (files and databases)  Physically distributed, but logically unitary 3. Analysis tools accessing the distributed data and writing results to shared storage space  But these are the same requirements that motivated the Virtual Observatory in 2001!

6 Provided by AstroGrid IVOA Standard AG Standard Images SIAP Catalogues Cone CEC DSA Spectra SSAP Community JES Server apps CEA Server CEC Registry Harvest Query MySpace Internet Workbench AstroRuntime RMI XML-RPC http Client App 1 Client App 2 Scripting Environment PLASTIC From talk to MSc students

7 PARTICLE PHYSICS  Founded 2001  Developed innovative solutions meeting needs of user community  Funding continues today ASTRONOMY  Founded 2001  Developed innovative solutions meeting needs of user community  Funding stopped in 2010

8  Internationally:  International Virtual Observatory Alliance  21 members; activity varies  Fairly complete set of standard protocols now ▪ Many standardising what AstroGrid prototyped years earlier  Within the UK  Modest amounts of EU funding  Modest amounts of funding within data centres

9  Initial goals  Include our DBs in distributed queries through VO ▪ Using IVOA Table Access Protocol (TAP)  Allow publication of user-owned tables in our DBs  Allow TAP services to be composed  Soon realised this could support research consortia  Give them working space with proprietary restrictions  Publish to (potentially) long-term storage afterwards

10 Firethorn objective

11 What’s missing User data not published through TAP yet Need group management for sharing Experimenting with Docker for data analysis Not exposing endpoints for composed TAP services yet

12 1. Authentication  IVOA has protocol for credential delegation, but we need trusted, simple-to-use credentials first 2. Data transport under the hood  VOSpace (file) storage protocol has been implemented on iRODS; other possibilities? 3. Hardware  Some needs to be at/near main astro data centres, but not all, if #2 works well  PPE experience in coupling compute and data  …and could any of this be re-used elsewhere?

13  Good data centres are vital for large projects  Many challenges for LSST, Euclid, SKA, etc  But they are just part of the story for most users  Multi-wavelength astronomy in multi-national consortia is the norm for most people now  Need computing systems to support how they work and to preserve their multi-wavelength datasets ▪ The Virtual Observatory gives (most of) the standards ▪ We lack (some of) the production software and the hardware  Some of this must be generic across PPAN area  Some of it may have been solved for the LHC  But astronomy is different in some ways from PPE

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15 Firethorn now


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