
Data Analysis WorkbeNch ( DAWN )
Author(s) -
Basham Mark,
Filik Jacob,
Wharmby Michael T.,
Chang Peter C. Y.,
El Kassaby Baha,
Gerring Matthew,
Aishima Jun,
Levik Karl,
Pulford Bill C. A.,
Sikharulidze Irakli,
Sneddon Duncan,
Webber Matthew,
Dhesi Sarnjeet S.,
Maccherozzi Francesco,
Svensson Olof,
Brockhauser Sandor,
Náray Gabor,
Ashton Alun W.
Publication year - 2015
Publication title -
journal of synchrotron radiation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.172
H-Index - 99
ISSN - 1600-5775
DOI - 10.1107/s1600577515002283
Subject(s) - workbench , terabyte , synchrotron , visualization , computer science , data visualization , workflow , data reduction , computer graphics (images) , data science , nanotechnology , database , materials science , physics , data mining , optics , operating system
Synchrotron light source facilities worldwide generate terabytes of data in numerous incompatible data formats from a wide range of experiment types. The Data Analysis WorkbeNch ( DAWN ) was developed to address the challenge of providing a single visualization and analysis platform for data from any synchrotron experiment (including single‐crystal and powder diffraction, tomography and spectroscopy), whilst also being sufficiently extensible for new specific use case analysis environments to be incorporated ( e.g. ARPES, PEEM). In this work, the history and current state of DAWN are presented, with two case studies to demonstrate specific functionality. The first is an example of a data processing and reduction problem using the generic tools, whilst the second shows how these tools can be targeted to a specific scientific area.