Reduction and analysis of SANS and USANS data using IGOR Pro

A software package is presented for performing reduction and analysis of small‐angle neutron scattering (SANS) and ultra‐small‐angle neutron scattering (USANS) data. A graphical interface has been developed to visualize and quickly reduce raw SANS and USANS data into one‐ or two‐dimensional formats...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Journal of applied crystallography Ročník 39; číslo 6; s. 895 - 900
Hlavní autor: Kline, Steven R.
Médium: Journal Article
Jazyk:angličtina
Vydáno: 5 Abbey Square, Chester, Cheshire CH1 2HU, England Blackwell Publishing Ltd 01.12.2006
Blackwell
Témata:
ISSN:1600-5767, 0021-8898, 1600-5767
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí:A software package is presented for performing reduction and analysis of small‐angle neutron scattering (SANS) and ultra‐small‐angle neutron scattering (USANS) data. A graphical interface has been developed to visualize and quickly reduce raw SANS and USANS data into one‐ or two‐dimensional formats for interpretation. The resulting reduced data can then be analyzed using model‐independent methods or non‐linear fitting to one of a large and growing catalog of included structural models. The different instrumental smearing effects for slit‐smeared USANS and pinhole‐smeared SANS data are handled automatically during analysis. In addition, any number of SANS and USANS data sets can be analyzed simultaneously. The reduction operations and analysis models are written in a modular format for extensibility, allowing users to contribute code and models for distribution to all users. The software package is based on Igor Pro, providing freely distributable and modifiable code that runs on Macintosh and Windows operating systems.
Bibliografie:ark:/67375/WNG-67Z7X3SZ-3
istex:F3C1E90B888BCE902FB76B2B94C1A5513C9C3944
ArticleID:JCRDO5025
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 14
ObjectType-Article-2
content type line 23
ISSN:1600-5767
0021-8898
1600-5767
DOI:10.1107/S0021889806035059