Published November 9, 2022
| Version 1.1.1
Dataset
Open
End-condition for solution small angle X-ray scattering measurements by kernel density estimation
Authors/Creators
- 1. Hiroshi
- 2. Noboru
- 3. Hideaki
- 4. Hideitsu
- 5. Masaichiro
Description
The set of python scripts and some datasets for estimating the minimum X-ray exposure time for X-ray solution scattering experiments using statistical and mathematical approaches.
We apply a statistical inequality to estimate the kernel density estimation (KDE) method’s error to determine the minimum X-ray exposure time.
Please refer to the following article,
End-condition for solution small angle X-ray scattering measurements by kernel density estimation
Science and Technology of Advanced Materials: Methods, Volume 2 Issue 1, pages 426-434 (2022)
DOI: 10.1080/27660400.2022.2140021
https://doi.org/10.1080/27660400.2022.2140021
Files
00_readme.txt
Files
(352.4 MB)
| Name | Size | |
|---|---|---|
|
md5:f0ebd569991952085bda9dbccf99062f
|
1.4 kB | Preview Download |
|
md5:c075cbe1f4a2c7e4299a5ae8678732ee
|
894.5 kB | Preview Download |
|
md5:3a319e9fdf9e8c6ba8d2fadb0f04473b
|
100.9 MB | Preview Download |
|
md5:9bc1f069e6572e4f698672f7a13a05d4
|
11.1 MB | Preview Download |
|
md5:69e616968eb561f257fc965580d5e955
|
239.5 MB | Preview Download |
|
md5:b99d8b8c826cb45233413e0b5d9530cf
|
5.4 kB | Preview Download |
Additional details
Related works
- Is cited by
- Journal article: 10.1080/27660400.2022.2140021 (DOI)