scholarly journals Error-Controlled Data Reduction Approach for Large-Scale Structured Datasets

2021 ◽  
Vol 33 (12) ◽  
pp. 1795-1802
Author(s):  
Zhiwei Ai ◽  
Juelin Leng ◽  
Fang Xia ◽  
Huawei Wang ◽  
Yi Cao
Author(s):  
Alaa Awad ◽  
Amal Saad ◽  
Ali Jaoua ◽  
Amr Mohamed ◽  
Carla-Fabiana Chiasserini

2008 ◽  
Vol 188 (3) ◽  
pp. 910-924 ◽  
Author(s):  
Xiao-Bai Li ◽  
Varghese S. Jacob

Author(s):  
Veronika Strnadová-Neeley ◽  
Aydın Buluç ◽  
Jarrod Chapman ◽  
John R. Gilbert ◽  
Joseph Gonzalez ◽  
...  

2012 ◽  
Vol 51 (10) ◽  
pp. 1598 ◽  
Author(s):  
Chao Tian ◽  
Yongying Yang ◽  
Yongmo Zhuo

2012 ◽  
Vol 45 (2) ◽  
pp. 324-328 ◽  
Author(s):  
Jan Ilavsky

Nikais anIgor Pro-based package for correction, calibration and reduction of two-dimensional area-detector data into one-dimensional data (`lineouts'). It is free (although the user needs a paid license forIgor Pro), open source and highly flexible. While typically used for small-angle X-ray scattering (SAXS) data, it can also be used for grazing-incidence SAXS data, wide-angle diffraction data and even small-angle neutron scattering data. It has been widely available to the user community since about 2005, and it is currently used at the SAXS instruments of selected large-scale facilities as their main data reduction package. It is, however, also suitable for desktop instruments when the manufacturer's software is not available or appropriate. Since it is distributed as source code, it can be scrutinized, verified and modified by users to suit their needs.


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