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Canadian Virtual Observatory Project David Schade Canadian Astronomy Data Centre Herzberg Institute for Astrophysics National Research Council Canada.

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Presentation on theme: "Canadian Virtual Observatory Project David Schade Canadian Astronomy Data Centre Herzberg Institute for Astrophysics National Research Council Canada."— Presentation transcript:

1 Canadian Virtual Observatory Project David Schade Canadian Astronomy Data Centre Herzberg Institute for Astrophysics National Research Council Canada

2 Advanced Network Day November 28, 2005 Canadian Astronomy Data Center Formed in 1986 Partner in many success stories –Hubble Space Telescope –Development of the model for the contemporary data centre Multi-wavelength/Multi-observatory –Leader in Virtual Observatory movement Canadian Legacy Surveys –State-of-the-Art Science Data Management is an integral part of these projects Current Holdings 112 Terabytes –Total traffic in/out: 12.1 Tbytes in past month

3 Advanced Network Day November 28, 2005 Canadian Astronomy Data Center CFHT Legacy Surveys SuperNovae: Dark Energy Mass Distribution from Gravitational Lensing Formation of our Solar System Evolution of Galaxies and Quasars JCMT Legacy Surveys Birth of Massive Galaxies at z~2 Star Formation Processes ALMA Pathfinder

4 Advanced Network Day November 28, 2005 Canadian Astronomy Data Center CADC’s Golden Age is ahead of us Evolved from one data collection to many Virtual Observatory spans the globe and the full range of classes of data Future of Science Data Management lies in the multi- disciplinary Science Data Centre –Shares common low-level infrastructure –Shares elusive high-level functionalities Visualization Advanced analysis expertise CADC is a unique Canadian resource

5 Advanced Network Day November 28, 2005 Dataflow into CADC Space Flow > 1 Tbyte/week CANARIE is involved in improving the network from Hawaii

6 Advanced Network Day November 28, 2005 Data delivered to science users Many users potentially at 1 Tbyte/week level

7 Advanced Network Day November 28, 2005 Canadian Virtual Observatory / Observatoire Virtuel Canadien

8 Advanced Network Day November 28, 2005 Distributed Data Query

9 Advanced Network Day November 28, 2005 Distributed Data Query

10 Advanced Network Day November 28, 2005 CADC is a leader

11 Advanced Network Day November 28, 2005 Distributed Catalogue Query

12 Advanced Network Day November 28, 2005 Orchestral performance: a meta-instrument for music Bass, viola, cello, horns violins Conductor, score, auditorium, intelligence Listener

13 Advanced Network Day November 28, 2005 Astronomy IT infrastructure: A meta-instrument for science Information technology infrastructure (hardware, software, intelligence) Science user Scientific literature, Databases, Data Collections

14 Advanced Network Day November 28, 2005 Virtual Observatory is based on open access to science data

15 Advanced Network Day November 28, 2005 Canadian success in astronomy

16 Advanced Network Day November 28, 2005 Open and Free Access Canadian Astronomy is first in the world in impact of science papers –76921 citations to 4836 papers 1994-2004 CFRS Papers with Schade as first or a principal author –Five papers with 603 citations –0.8% of all Canadian citations –7.6 times average citation rate The papers combined CFHT spectroscopy with Hubble Space Telescope imaging These papers required free access to Hubble Space Telescope These papers required free access to HST data archive Canada has gained enormously from Open Access data policies

17 Advanced Network Day November 28, 2005 Future Requirements Past Get the data onto my hard drive Present Data Centre is my hard drive –Applications read directly from CADC Visualization Data characterization and process configuration Processing Dataset sizes ~ 10’s of Terabytes

18 Advanced Network Day November 28, 2005 Future Requirements Future World is my hard drive/processor –Applications read directly from distributed data centres –View and characterize data/configure processing –Send data and configuration off to a remote processing node –Processing returns its results into a CADC database management/visualization/analysis environment Dataset sizes ~ 100’s of Terabytes Complexity of multi-wavelengths datasets is a challenge


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