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Data Analysis WorkbeNch (DAWN)
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...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
International Union of Crystallography
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4416692/ https://www.ncbi.nlm.nih.gov/pubmed/25931106 http://dx.doi.org/10.1107/S1600577515002283 |
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author | 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. |
author_facet | 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. |
author_sort | Basham, Mark |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-4416692 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | International Union of Crystallography |
record_format | MEDLINE/PubMed |
spelling | pubmed-44166922015-05-20 Data Analysis WorkbeNch (DAWN) 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. J Synchrotron Radiat Computer Programs 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. International Union of Crystallography 2015-04-02 /pmc/articles/PMC4416692/ /pubmed/25931106 http://dx.doi.org/10.1107/S1600577515002283 Text en © Mark Basham et al. 2015 http://creativecommons.org/licenses/by/2.0/uk/ This is an open-access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are cited. |
spellingShingle | Computer Programs 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. Data Analysis WorkbeNch (DAWN) |
title |
Data Analysis WorkbeNch (DAWN) |
title_full |
Data Analysis WorkbeNch (DAWN) |
title_fullStr |
Data Analysis WorkbeNch (DAWN) |
title_full_unstemmed |
Data Analysis WorkbeNch (DAWN) |
title_short |
Data Analysis WorkbeNch (DAWN) |
title_sort | data analysis workbench (dawn) |
topic | Computer Programs |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4416692/ https://www.ncbi.nlm.nih.gov/pubmed/25931106 http://dx.doi.org/10.1107/S1600577515002283 |
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