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New Python-based methods for data processing
Current pixel-array detectors produce diffraction images at extreme data rates (of up to 2 TB h(−1)) that make severe demands on computational resources. New multiprocessing frameworks are required to achieve rapid data analysis, as it is important to be able to inspect the data quickly in order to...
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| Hauptverfasser: | , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
International Union of Crystallography
2013
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3689530/ https://ncbi.nlm.nih.gov/pubmed/23793153 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1107/S0907444913000863 |
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