European Grid of Solar Observations EGSO European Grid of Solar Observations Simon Martin Rutherford Appleton Laboratory CDS Users Meeting, NAM 2003.

Slides:



Advertisements
Similar presentations
What does LOFAR have to do with the Virtual Observatory (VO)? LOFAR Science Day 16 December 2003 Melbourne David Barnes The University of Melbourne.
Advertisements

Remote Visualisation System (RVS) By: Anil Chandra.
SDMX in the Vietnam Ministry of Planning and Investment - A Data Model to Manage Metadata and Data ETV2 Component 5 – Facilitating better decision-making.
Heliophysics Integrated Observatory (HELIO) HELIO The Heliophysics Integrated Observatory Bob Bentley (UCL-MSSL) Andre Csillaghy (FHNW) Jean Abourdarham.
1 A Virtual Observatory for Space Weather? R.D. Bentley (UCL/MSSL) Chris Harvey (CDPP) Second European Space Weather Workshop ESTEC, 18 November 2005.
Solar and STP Physics with AstroGrid 1. Mullard Space Science Laboratory, University College London. 2. School of Physics and Astronomy, University of.
Distributed components
Information Retrieval in Practice
European Grid of Solar Observations The need for Automatic Feature Recognition in the EGSO Project Bob Bentley, Valentina Zharkova, Jean Aboudarham & the.
European Grid of Solar Observations The European Grid of Solar Observations Bob Bentley (UCL) & the EGSO Team 20 November 2003, IAS.
Advanced Topics COMP163: Database Management Systems University of the Pacific December 9, 2008.
NextGRID & OGSA Data Architectures: Example Scenarios Stephen Davey, NeSC, UK ISSGC06 Summer School, Ischia, Italy 12 th July 2006.
DataGrid Kimmo Soikkeli Ilkka Sormunen. What is DataGrid? DataGrid is a project that aims to enable access to geographically distributed computing power.
SpaceGRID and EGSO Satu Keski-Jaskari Maria Vappula Parallal Computing – Seminar
8 Systems Analysis and Design in a Changing World, Fifth Edition.
Overview of Search Engines
Internet GIS. A vast network connecting computers throughout the world Computers on the Internet are physically connected Computers on the Internet use.
EU 2nd Year Review – Jan – WP9 WP9 Earth Observation Applications Demonstration Pedro Goncalves :
QCDgrid Technology James Perry, George Beckett, Lorna Smith EPCC, The University Of Edinburgh.
ESDO Algorithms, Visualization and Data Access Elizabeth Auden 21 September 2006 AHM 2006 Nottingham.
F. I. Suárez-Sol á 1, E. González-Suárez 1, I. González-Hernández 1, A.R. Davey 2,J. Hourcl é 3, VSO Team 1 National Solar Observatory, Tucson AZ – 2 Harvard-Smithsonian.
Open Source Grid Computing in the Finance Industry Alex Efimov STFC Kite Club Knowledge Exchange Advisor UK CERN Technology Transfer Officer
Data Management Subsystem: Data Processing, Calibration and Archive Systems for JWST with implications for HST Gretchen Greene & Perry Greenfield.
MASSACHUSETTS INSTITUTE OF TECHNOLOGY NASA GODDARD SPACE FLIGHT CENTER ORBITAL SCIENCES CORPORATION NASA AMES RESEARCH CENTER SPACE TELESCOPE SCIENCE INSTITUTE.
Database System Concepts and Architecture
European Grid of Solar Observations EGSO A Virtual Observatory for solar and heliospheric physics Rob Bentley (UCL/MSSL), Isabelle Scholl (ISU) and the.
Functions and Demo of Astrogrid 1.1 China-VO Haijun Tian.
Solar Terrestrial Physics: ESA SpaceGRID Chris Perry, Rutherford Appleton Laboratory 21st March 2003.
NEPTUNE Canada Workshop Oceans 2.0 Project Environment NEPTUNE Canada DMAS Team Victoria, BC February 16, 2009.
Summary of distributed tools of potential use for JRA3 Dugan Witherick HPC Programmer for the Miracle Consortium University College.
Astronomical Spectroscopy and the Virtual Observatory ESAC, March 2007 VO tools and cross-calibration Pedro García-Lario European Space Astronomy.
What is the VSO? (and what isn’t it?). The VSO …  Allows you to search multiple archives in a single search  Keeps you from needing to keep track of.
5 - 1 Copyright © 2006, The McGraw-Hill Companies, Inc. All rights reserved.
Federation and Fusion of astronomical information Daniel Egret & Françoise Genova, CDS, Strasbourg Standards and tools for the Virtual Observatories.
A PPARC funded project Astronomical services: situated software vs. commodity software Guy Rixon, AstroGrid/AVO/IVOA Building Service Based Grids - GGF11.
Introduction to Grid Computing Ed Seidel Max Planck Institute for Gravitational Physics
1 Computing Challenges for the Square Kilometre Array Mathai Joseph & Harrick Vin Tata Research Development & Design Centre Pune, India CHEP Mumbai 16.
Solar and STP science with AstroGrid Silvia Dalla School of Physics & Astronomy, University of Manchester A PPARC funded project.
SPASE: Metadata Interoperability in the Great Observatory Environment Jim Thieman Todd King Aaron Roberts Joe King AGU Joint Assembly May 23, 2006.
Common Archive Observation Model (CAOM) What is it and why does JWST care?
MEDIN Work Plan for By March 2011 MEDIN will be 3 years into the original 5 year development plan started in Would normally ask for continued.
Solar and space physics datasets within a Virtual Observatory: the AstroGrid experience Silvia Dalla * and Nicholas A Walton  * School of Physics & Astronomy,
Clinical Collaboration Platform Overview ST Electronics (Training & Simulation Systems) 8 September 2009 Research Enablers  Consulting  Open Standards.
European Grid of Solar Observations Registries and metadata-driven searches in a solar-terrestrial grid context Rob Bentley (UCL/MSSL) and the EGSO Team.
A radiologist analyzes an X-ray image, and writes his observations on papers  Image Tagging improves the quality, consistency.  Usefulness of the data.
SPASE and the VxOs Jim Thieman Todd King Aaron Roberts.
VSO Status Update HDMC Meeting 9 June Vision To allow solar physicists to identify and search for data even if they don't know it exists. Make.
Sharing scientific data: astronomy as a case study for a change in paradigm Présenté par Françoise Genova.
Digital Libraries1 David Rashty. Digital Libraries2 “A library is an arsenal of liberty” Anonymous.
German Astrophysical Virtual Observatory Overview and Results So Far W. Voges, G. Lemson, H.-M. Adorf.
26/05/2005 Research Infrastructures - 'eInfrastructure: Grid initiatives‘ FP INFRASTRUCTURES-71 DIMMI Project a DI gital M ulti M edia I nfrastructure.
AstroGrid NAM 2001 Andy Lawrence Cambridge NAM 2001 Andy Lawrence Cambridge Belfast Cambridge Edinburgh Jodrell Leicester MSSL.
Distributed Data Analysis & Dissemination System (D-DADS ) Special Interest Group on Data Integration June 2000.
Algorithm Preparation and Data Availability 1. Mullard Space Science Laboratory, University College London. 2. Physics and Astronomy Department, University.
12 Oct 2003VO Tutorial, ADASS Strasbourg, Data Access Layer (DAL) Tutorial Doug Tody, National Radio Astronomy Observatory T HE US N ATIONAL V IRTUAL.
EC Review – 01/03/2002 – WP9 – Earth Observation Applications – n° 1 WP9 Earth Observation Applications 1st Annual Review Report to the EU ESA, KNMI, IPSL,
Introduction to the VO ESAVO ESA/ESAC – Madrid, Spain.
AHM04: Sep 2004 Nottingham CCLRC e-Science Centre eMinerals: Environment from the Molecular Level Managing simulation data Lisa Blanshard e- Science Data.
Function BIRN The ability to find a subject who may have participated in multiple experiments and had multiple assessments done is a critical component.
ETICS An Environment for Distributed Software Development in Aerospace Applications SpaceTransfer09 Hannover Messe, April 2009.
ESDO: UK Access to the Solar Dynamics Observatory 1. Mullard Space Science Laboratory, University College London. Holmbury St. Mary, Dorking, Surrey SM2.
The Virtual Observatory and Ecological Informatics System (VOEIS): Using RESTful architecture and an extensible data model to provide a unique data management.
IPDA Registry Definitions Project Dan Crichton Pedro Osuna Alain Sarkissian.
Introduction: AstroGrid increases scientific research possibilities by enabling access to distributed astronomical data and information resources. AstroGrid.
DataGrid France 12 Feb – WP9 – n° 1 WP9 Earth Observation Applications.
Information Retrieval in Practice
Systems Analysis and Design in a Changing World, Fifth Edition
PDAP Query Language International Planetary Data Alliance
Google Sky.
Presentation transcript:

European Grid of Solar Observations EGSO European Grid of Solar Observations Simon Martin Rutherford Appleton Laboratory CDS Users Meeting, NAM 2003

European Grid of Solar Observations Outline Introduction Problem, EGSO, Grids EGSO details Enhanced solar catalogues Processing data sets CDS/Spectral data Summary Progress Conclusions Questions/suggestions

European Grid of Solar Observations Generic Problem Of Solar Physics Observations used to build up a picture of the plasma in multi-dimensional parameter space (incl. x, y, z, t, T &  ) Users need access to as many wavelengths as possible Data centres and observatories located around the world Difficult to find and access all relevant data Very heterogeneous data sets/catalogues Increasing data volumes (ILWS > 1.0TB/day) Large and small data centres (with varying resources) Users scattered around the world Do not need to know where the data is located Capabilities/resources of users computing vary greatly

European Grid of Solar Observations Virtual Solar Observatories – A Solution Make all archives ‘speak the same language’ Consistent UI, search and analysis tools Some objectives: Users are aware of, and have access to all available data Searches for required data can be made using metadata alone – the data are only accessed later The results of a search can be used to retrieve data from several sources simultaneously, preferably in a processed form New data can be added with little or no impact on the users Several related projects in the solar community: The European Grid of Solar Observations (EGSO, EC funded) US Virtual Solar Observatory (US-VSO, funded by NASA) Sun-Earth Connector (CoSEC, funded by NASA under ILWS) Approach and emphasis of the projects differ  EGSO is the largest and is collaborating closely with the others

European Grid of Solar Observations EGSO EGSO is a grid ‘testbed’ which will federate solar data centres, forming a single ‘virtual archive’ EGSO will lay the foundations for a ‘virtual solar observatory’ EGSO will provide tools for searching and analysing this solar data: EGSO will improve access to solar data Users do not need knowledge of individual archives Ten partners in Europe and the US, led by UCL- MSSL EC funded project 3 in UK, 2 in France, 2 in Italy, 1 in Switzerland, 2 in US Several associate partners, mainly in the US EGSO and the US VSO planning to collaborate closely

European Grid of Solar Observations Grids A grid is essentially a network of shared computers and devices (grid resources) Grid resources are heterogeneous and distributed Resources include super computers, laptops, desktops, handheld devices, instruments… To a user, these resources are available in a simple, transparent and secure way The grid deals with locations, security, heterogeneity on behalf of user Analogy with electricity grids

European Grid of Solar Observations Grids cntd. Grids must be scalable, fault tolerant, secure Types of Grids: Computational e.g. Seti Data e.g. EU DataGrid Service – service not provided by single machine e.g. MRI scanner Collaborative e.g. Access grids EGSO is largely a data grid, but also a service grid

European Grid of Solar Observations Obtaining Data From EGSO 1. Identify suitable observations Search EGSO catalogues using GUI, search & visualisation tools Refine search 2. Locate the data Grid locates and accesses data 3. Process the data Extraction and calibration of data Custom processing 4. Retrieve the data Data returned to user

European Grid of Solar Observations Identifying Suitable Observations (1) In order to provide an enhanced search capability, EGSO will improve the quality and availability of metadata Enhanced “cataloguing” describes the data more fully Standardized metadata versions of observing catalogues tie together the heterogeneous data sets from different instruments New types of catalogue allow searches on events, features and phenomena rather than just date & time, pointing, etc… Ancillary data used to provide additional search criteria Images, time series, derived products, etc. Search Registry describes all metadata available for search improving performance.

European Grid of Solar Observations Identifying Suitable Observations (2) EGSO’s enhanced catalogues based on new meta-data standards allow detailed searches to be conducted for many instruments, or by event/feature: Unified Observing Catalogues (UOC) Metadata form of observing catalogues used to tie together the heterogeneous data, leaving the data unchanged Self describing (e.g. XML), quantised by time and instrument, with no dependencies on ancillary data or proprietary software and any errors corrected (pre-processing) Standards defined for future data sets (e.g. STEREO, ILWS, Solar-B) Solar Event Catalogues (SEC) Built from information contained in published lists Flare lists, CME lists, lists in SGD, etc. Solar Feature Catalogue (SFC) Lists of the occurrence of events, phenomena and features provides an alternate means of selecting data Derived using image recognition software

European Grid of Solar Observations Identifying Suitable Observations (3) Pre-processing images to eliminate errors in UOC Image (right) shows a poor quality Meudon H alpha image with circle showing position according to FITS header information Other problems include defects in data, weather (ground based), image shape…

European Grid of Solar Observations Identifying Suitable Observations (4) GUI provided for defining queries: Simple queries may be date/time, wavelength etc. Synoptic images may be used to select pointing (next slide) Results from initial search will be accompanied by Quick-look images to refine query More complex queries can be formulated since catalogues stored in RDB (SQL) Can also search by SEC, SFC

European Grid of Solar Observations US-VSO GUI

European Grid of Solar Observations

Quick-look Processing

European Grid of Solar Observations EGSO – Query Resolving SEC SFC Observing Catalogue etc., Providers Catalogue Warehouse (cache) UOC Ancill. Data Requests Summary Images, etc. (G)UI Search Query Resolver Query Generator Search Registry Search Info. Requestor Nature of searches and User Interface will be derived from Use Cases Exact nature of interface to providers under review (Grid and/or P2P)

European Grid of Solar Observations Processing Data Current archives have amassed large quantities of data, and future missions will generate huge amounts of data moving this across networks is clearly undesirable EGSO aims to increase access to solar data if the user needs to process data, the demands placed on users hardware becomes too great, and uptake may be poor As far as possible, process the data at source Involves extraction and calibration of a subset of the raw data  Software for processing defined by instrument team (IDL, C…) Standard processing e.g. image cleaning, Quick-look Processing reduces volumes of data moved around Simplifies requirements on user’s own system Special processing, including the ability to upload custom code, will also be possible. Users can perform investigations on large data sets on dedicated processing facilities. e.g. Using image recognition techniques to search for bright points on CDS images Data mining

European Grid of Solar Observations CDS/Spectral Data Can search CDS archive in terms of time and position Need to have a target in mind Spectral data is hard to specify in meta-data terms. Adding meta-data to spectral data would allow more complex queries to be resolved e.g. searching for data sets with particularly strong spectral lines What meta-data could be used? Velocities (derived), emission line strengths, spectral type classification (derived) Meta-data could be applied to other spectral data including ground based Processing Common processing requirements, others (e.g. Chianti?)

European Grid of Solar Observations EGSO Progress Just successfully completed first year review in Brussels (EC funded). System architecture complete, working on: Image recognition techniques to form new catalogues Metadata for catalogues Implementing aspects of architecture Demonstration due Summer 2003.

European Grid of Solar Observations Summary EGSO will improve access to solar data Scattered heterogeneous datasets can be found and accessed by anyone without detailed knowledge of multiple archives EGSO can help working with large data sets by: Reducing the number of files downloaded by use of improved catalogues and search facilities Reducing the amount of data to be transferred by processing/extraction/calibration ‘at source’ Offering processing facilities & power (grid services) Spectral data (e.g. CDS) not so straight forward.

European Grid of Solar Observations Questions/Suggestions