@inproceedings{
 title = {A revolutionary new paradigm for the reduction and analysis of astronomical images},
 type = {inproceedings},
 year = {2010},
 keywords = {Astronomical images,Astronomy,Cyber infrastructures,Data handling,Data r,Image analysis,Imaging,Pipeline processing systems},
 pages = {168-175},
 websites = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-79951871691&doi=10.1109%2FeScience.2010.14&partnerID=40&md5=535e02f368c46446d0790af441fba2b1},
 city = {Brisbane, QLD},
 id = {4ac22968-c48e-3893-bbd6-86cf36a323a4},
 created = {2019-10-01T17:20:36.760Z},
 file_attached = {false},
 profile_id = {42d295c0-0737-38d6-8b43-508cab6ea85d},
 last_modified = {2019-10-01T17:25:28.551Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 citation_key = {Michael2010168},
 source_type = {conference},
 notes = {cited By 0; Conference of 2010 6th IEEE International Conference on e-Science, eScience 2010 ; Conference Date: 7 December 2010 Through 10 December 2010; Conference Code:83861},
 folder_uuids = {22c3b665-9e84-4884-8172-710aa9082eaf},
 private_publication = {false},
 abstract = {In this article we propose a revolutionary new paradigm for the processing and analysis of astronomical image data. We describe a blueprint for a centralized data repository and processing system, which leverages national cyberinfrastructure. Included is a brief discussion of the current paradigm in astronomical image processing. The upcoming One Degree Imager (ODI) instrument, to be installed at the Wisconsin, Indiana, Yale and NOAO (WIYN) observatory in 2011, is examined as an ideal use case. Details on the major components and a detailed workflow in the case of data processing for the ODI instrument are highlighted. © 2010 IEEE.},
 bibtype = {inproceedings},
 author = {Michael, S and Knezek, P and Stobie, E and Henschel, R and Simms, S},
 doi = {10.1109/eScience.2010.14},
 booktitle = {Proceedings - 2010 6th IEEE International Conference on e-Science, eScience 2010}
}

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