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231225s2020 xx |||||o 00| ||eng c |
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|a 10.1107/S1600577520008929
|2 doi
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|a pubmed25n1048.xml
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|a DE-627
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|e rakwb
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|a eng
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| 100 |
1 |
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|a Kato, Kenichi
|e verfasserin
|4 aut
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| 245 |
1 |
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|a On-demand correction for X-ray response non-uniformity in microstrip detectors by a data-driven approach
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| 264 |
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|c 2020
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| 336 |
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|a Text
|b txt
|2 rdacontent
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| 337 |
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|a ƒaComputermedien
|b c
|2 rdamedia
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| 338 |
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|a ƒa Online-Ressource
|b cr
|2 rdacarrier
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|a Date Revised 16.09.2020
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|a published: Print-Electronic
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|a Citation Status PubMed-not-MEDLINE
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|a open access.
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|a A statistical approach, which was previously developed to correct scattering data for X-ray response non-uniformity (XRNU) in microstrip detectors, has been improved to significantly reduce the correcting time. The improved algorithm has succeeded in increasing the utilization rate of data acquired for reference intensity to 98%. As a result, the correcting time was reduced from half a day to half an hour, which was shorter than the typical measuring time of a sample. Moreover, the present approach was found to yield better correction results than the previous one. The data-driven approach enabled the on-demand correction for XRNU according to the detector and experimental settings. The present study will encourage the correction of scattering data for XRNU in area detectors
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| 650 |
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|a Journal Article
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| 650 |
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|a X-ray detectors
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| 650 |
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|a X-ray scattering
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| 650 |
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|a data science
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| 650 |
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4 |
|a flat-field correction
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| 700 |
1 |
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|a Shigeta, Kazuya
|e verfasserin
|4 aut
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| 773 |
0 |
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|i Enthalten in
|t Journal of synchrotron radiation
|d 1994
|g 27(2020), Pt 5 vom: 01. Sept., Seite 1172-1179
|w (DE-627)NLM09824129X
|x 1600-5775
|7 nnas
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| 773 |
1 |
8 |
|g volume:27
|g year:2020
|g number:Pt 5
|g day:01
|g month:09
|g pages:1172-1179
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| 856 |
4 |
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|u http://dx.doi.org/10.1107/S1600577520008929
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|d 27
|j 2020
|e Pt 5
|b 01
|c 09
|h 1172-1179
|