Synchrotron Big Data Science
文献类型：期刊论文
| 作者 | Wang, CP; Steiner, U; Sepe, A |
| 刊名 | SMALL
 |
| 出版日期 | 2018 |
| 卷号 | 14期号:46页码:- |
| 关键词 | CONVOLUTIONAL NEURAL-NETWORK POWDER DIFFRACTION FILE PROTEIN DATA-BANK FORMAT NEXUS CRYSTALLOGRAPHY INFORMATION ARCHIVE IMAGES CLASSIFICATION |
| ISSN号 | 1613-6810 |
| DOI | 10.1002/smll.201802291 |
| 文献子类 | 期刊论文 |
| 英文摘要 | The rapid development of synchrotrons has massively increased the speed at which experiments can be performed, while new techniques have increased the amount of raw data collected during each experiment. While this has created enormous new opportunities, it has also created tremendous challenges for national facilities and users. With the huge increase in data volume, the manual analysis of data is no longer possible. As a result, only a fraction of the data collected during the time- and money-expensive synchrotron beam-time is analyzed and used to deliver new science. Additionally, the lack of an appropriate data analysis environment limits the realization of experiments that generate a large amount of data in a very short period of time. The current lack of automated data analysis pipelines prevents the fine-tuning of beam-time experiments, further reducing their potential usage. These effects, collectively known as the "data deluge," affect synchrotrons in several different ways including fast data collection, available local storage, data management systems, and curation of the data. This review highlights the Big Data strategies adopted nowadays at synchrotrons, documenting this novel and promising hybridization between science and technology, which promise a dramatic increase in the number of scientific discoveries. |
| 语种 | 英语 |
| 源URL | [http://ir.sinap.ac.cn/handle/331007/31129]  |
| 专题 | 上海应用物理研究所_中科院上海应用物理研究所2011-2017年 |
| 作者单位 | 1.Univ Fribourg, Adolphe Merkle Inst, CH-1700 Fribourg, Switzerland 2.Chinese Acad Sci, Shanghai Inst Appl Phys, Shanghai Synchrotron Radiat Facil, Big Data Sci Ctr, Shanghai 201204, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, CP,Steiner, U,Sepe, A. Synchrotron Big Data Science[J]. SMALL,2018,14(46):-. |
| APA | Wang, CP,Steiner, U,&Sepe, A.(2018).Synchrotron Big Data Science.SMALL,14(46),-. |
| MLA | Wang, CP,et al."Synchrotron Big Data Science".SMALL 14.46(2018):-. |
入库方式： OAI收割
来源：上海应用物理研究所
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