Skuare view: Client-server framework for accessing extremely large radio astronomy image data

Astro-HPC '12 - Workshop on High-Performance Computing for Astronomy

Volumn , Issue , 2012, Pages 25-32

  Kitaeff, Vyacheslav V ^a   Wu, Chen ^a   Wicenec, Andreas ^a   Cannon, Andrew D ^a   Kevin, Vinsen ^a  

^a UNIVERSITY OF WESTERN AUSTRALIA   (Australia)

Author keywords

Compression; Imaging data; Radio astronomy

Indexed keywords

CLIENT-SERVER FRAMEWORK; END USERS; IMAGE CUBE; IMAGE DATA; IMAGING DATA; INTEGRATED FRAMEWORKS; JPEG 2000; WIDE-FIELD;

COMPACTION; COMPUTER SOFTWARE SELECTION AND EVALUATION; RADIO ASTRONOMY;

DATA COMPRESSION;

EID: 84863924436     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2286976.2286984     Document Type: Conference Paper

References (19)

1. http://casaguides.nrao.edu/index.php, last accessed on 5.03.2012.
2. http://en.wikipedia.org/wiki/tar (file format), last accessed on 5.03.2012.
3. http://heasarc.gsfc.nasa.gov/fitsio, last accessed on 5.03.2012.
4. http://www.hdfgroup.org/HDF5/doc/Advanced/Chunking/ ChunkingTutorialEOS132009.pdf.
5. http://www.ivoa.net/documents/sia/, last accessed on 5.03.2012.
6. K. Anderson and J. Masters. LOFAR Data Format ICD Radio Sky Image Cubes. 2011.
7. Anderson, K. et al. LOFAR and HDF5: Toward a New Radio Data. Arxiv preprint arXiv:1012.2266, 2010.
8. C.J. Lonsdale, et al. The murchison widefield array: Design overview. Proceedings of the IEEE, 97(8):1497-1506, aug. 2009.
9. Cohen, A., et al. Biorthogonal bases of compactly supported wavelets. Communications on Pure and Applied Mathematics, 45(5):485-560, 1992.
10. Cornwell, T. et al. ASKAP Science Processing. 2011.
11. Fernique, P. et al. Another way to explore the sky: Healpix usage in aladin full sky mode. In Astronomical Data Analysis Software and Systems XIX, volume 434, page 163, 2010.
12. J. Lazio. The Square Kilometre Aarray Design Reference Mission: SKA Phase 1. SCI-020.010.020-DRM-002 Rev 2.0, 2011.
13. Muller, D. et al. JHelioviewer: Visualizing Large Sets of Solar Images Using JPEG 2000. Computing in Science and Engineering, 11(5):38-47, 2009.
14. F. Murtagh and J. Starck. Astronomical image and data analysis. Springer, 2006.
15. Powell, M.W., et al. A Scalable Image Processing Framework for Gigapixel Mars and Other Celestial Body Images. Aeorospace Conference, 6-13 March 2010.
16. Prohaska, S., et al. Interactive exploration of large remote micro-ct scans. In Visualization, 2004. IEEE, pages 345-352. IEEE, 2004.
17. D. Taubman and R. Prandolini. Architecture, Philosophy and Performance of JPIP: Internet Protocol Standard for JPEG2000. Visual Communications and Image Processing 2003, 5150(1):791-805, 2003.
18. D. S. Taubman and M. W. Marcellin. JPEG2000: Fundamentals, Standards and Practice. Kluwer Academic Publishers, Boston, pages 1-23, 2002.
19. White, R.L. et al. Tiled image convention for storing compressed images in fits binary tables. Arxiv preprint arXiv:1201.1336, 2012.