1D SAXS indexing macro for Igor Pro

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Persistent link to this item

https://doi.org/10.13020/9m8p-pv93
https://hdl.handle.net/11299/223278

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Keywords

Indexing

Scattering

SAXS

Block polymer

Collection period

2018-01-01
2021-08-31

Date completed

2021-08-31

Date updated

Time period coverage

Geographic coverage

Source information

Journal Title

Journal ISSN

Volume Title

Title

1D SAXS indexing macro for Igor Pro

Published Date

2021-09-08

Authors

Lindsay, Aaron P

Mueller, Andreas J

Mahanthappa, Mahesh K

Lodge, Timothy P

Bates, Frank S

Group

UMN Polymer Group

Author Contact

Bates, Frank S
bates001@umn.edu

Type

Dataset
Programming Software Code

Abstract

This code was developed for the facile analysis of 1D SAXS data collected from ordered materials in Igor Pro. A robust file loading algorithm is included, allowing for rapid generation of publication quality stack plots. Also included is a straightforward indexing macro, enabling indexing of 1D SAXS data to a variety of phases. New phases can be added with minimal effort and multiple indexing options are included (e.g., ticks, lines, color, etc.), minimizing time spent analyzing data and producing plots for presentations or publications.

Description

Installation instructions, how to use the program and troubleshooting are found in the Readme. See link to simulate 2D diffraction data: https://hdl.handle.net/11299/223279

Referenced by

Lindsay, A. P. Structure and Dynamics of Compositionally Asymmetric Block Polymers and their Blends. Ph.D. Thesis, University of Minnesota, Minneapolis, MN, 2021.

Related to

Replaces

License

GNU General Public License
https://www.gnu.org/licenses/gpl-3.0.en.html

Publisher

Collections

Data Repository for U of M (DRUM)

Funding information

NSF DMR-1801993
NSF GRFP-00039202

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Previously Published Citation

Suggested citation

Lindsay, Aaron P; Mueller, Andreas J; Mahanthappa, Mahesh K; Lodge, Timothy P; Bates, Frank S. (2021). 1D SAXS indexing macro for Igor Pro. Retrieved from the Data Repository for the University of Minnesota (DRUM), https://doi.org/10.13020/9m8p-pv93.

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