Extending WiMDA for the data analysis of µ−SR experiments

A software extension to the Windows Muon Data Analysis software package WiMDA has been developed for the analysis of µ<sup>−</sup>SR data, which has been dubbed Negative-WiMDA. In designing Negative-WiMDA, some key features were considered: it should be easily accessed from the main anal...

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Main Authors: Gill, GJW, Pratt, FL, Blundell, SJ
Format: Conference item
Language:English
Published: IOP Publishing 2023
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author Gill, GJW
Pratt, FL
Blundell, SJ
author_facet Gill, GJW
Pratt, FL
Blundell, SJ
author_sort Gill, GJW
collection OXFORD
description A software extension to the Windows Muon Data Analysis software package WiMDA has been developed for the analysis of µ<sup>−</sup>SR data, which has been dubbed Negative-WiMDA. In designing Negative-WiMDA, some key features were considered: it should be easily accessed from the main analysis window of WiMDA; it should be able to account for multiple elements in a sample; it should be able to subtract signals treated as unwanted background, allowing the user to focus on a particular element of interest; it should be able to handle transverse-field (TF) data, and perhaps most importantly, it should be intuitive to use. The main features of Negative-WiMDA are presented here with a few examples of their use.
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spelling oxford-uuid:a95e8a8d-e8b4-498c-a71c-d8a255135f682023-08-25T16:29:27ZExtending WiMDA for the data analysis of µ−SR experimentsConference itemhttp://purl.org/coar/resource_type/c_5794uuid:a95e8a8d-e8b4-498c-a71c-d8a255135f68EnglishSymplectic ElementsIOP Publishing2023Gill, GJWPratt, FLBlundell, SJA software extension to the Windows Muon Data Analysis software package WiMDA has been developed for the analysis of µ<sup>−</sup>SR data, which has been dubbed Negative-WiMDA. In designing Negative-WiMDA, some key features were considered: it should be easily accessed from the main analysis window of WiMDA; it should be able to account for multiple elements in a sample; it should be able to subtract signals treated as unwanted background, allowing the user to focus on a particular element of interest; it should be able to handle transverse-field (TF) data, and perhaps most importantly, it should be intuitive to use. The main features of Negative-WiMDA are presented here with a few examples of their use.
spellingShingle Gill, GJW
Pratt, FL
Blundell, SJ
Extending WiMDA for the data analysis of µ−SR experiments
title Extending WiMDA for the data analysis of µ−SR experiments
title_full Extending WiMDA for the data analysis of µ−SR experiments
title_fullStr Extending WiMDA for the data analysis of µ−SR experiments
title_full_unstemmed Extending WiMDA for the data analysis of µ−SR experiments
title_short Extending WiMDA for the data analysis of µ−SR experiments
title_sort extending wimda for the data analysis of µ sr experiments
work_keys_str_mv AT gillgjw extendingwimdaforthedataanalysisofμsrexperiments
AT prattfl extendingwimdaforthedataanalysisofμsrexperiments
AT blundellsj extendingwimdaforthedataanalysisofμsrexperiments