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Naji, M. |
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Motta, Antonella |
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Aletan, Dirar |
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Mohamed, Tarek |
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Ertürk, Emre |
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Taccardi, Nicola |
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Kononenko, Denys |
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Petrov, R. H. | Madrid |
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Alshaaer, Mazen | Brussels |
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Bih, L. |
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Casati, R. |
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Muller, Hermance |
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Kočí, Jan | Prague |
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Šuljagić, Marija |
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Kalteremidou, Kalliopi-Artemi | Brussels |
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Azam, Siraj |
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Ospanova, Alyiya |
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Blanpain, Bart |
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Ali, M. A. |
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Popa, V. |
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Rančić, M. |
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Ollier, Nadège |
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Azevedo, Nuno Monteiro |
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Landes, Michael |
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Rignanese, Gian-Marco |
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Lin, H.
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (9/9 displayed)
- 2023Ultra-broadband shielding of cellulose nanofiber commingled biocarbon functional constructs : A paradigm shift towards sustainable terahertz absorbers
- 2020Correlating structural, electronic, and magnetic properties of epitaxial VSe2 thin filmscitations
- 2015Charge selective contacts, mobile ions and anomalous hysteresis in organic-inorganic perovskite solar cellscitations
- 2013Identification of nitrogen dopants in single-walled carbon nanotubes by scanning tunneling microscopycitations
- 2010Many-body effects in electronic bandgaps of carbon nanotubes measured by scanning tunnelling spectroscopy
- 2009The Dark Energy Survey Data-Management System: The Processing Framework
- 2007Characterising and Modelling Tool-ply Friction of Viscous Textile Composites
- 2007Characterising and modelling tool-ply friction of viscous textile composites
- 2006Investigation of tool-py friction of viscous textile composites (CD-rom)
Places of action
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article
The Dark Energy Survey Data-Management System: The Processing Framework
Abstract
The Dark Energy Survey Data Management (DESDM) system will process and archive the data from the Dark Energy Survey (DES) over the five year period of operation. This paper focuses on a new adaptable processing framework developed to perform highly-automated, high-performance data parallel processing.The new processing framework has been used to process 45 nights of simulated DECam supernova imaging data, and was extensively used in the DES Data Challenge 4, where it was used to process thousands of square degrees of simulated DES data.