Improved Dynamic Analysis method for quantitative PIXE and SXRF element imaging of complex materials

التفاصيل البيبلوغرافية
العنوان: Improved Dynamic Analysis method for quantitative PIXE and SXRF element imaging of complex materials
المؤلفون: Chris Ryan, G.F. Moorhead, Jamie S. Laird, R. Kirkham, Louise Fisher
المصدر: Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms. 363:42-47
بيانات النشر: Elsevier BV, 2015.
سنة النشر: 2015
مصطلحات موضوعية: Physics, Nuclear and High Energy Physics, Data processing, Pixel, business.industry, Monte Carlo method, Phase (waves), Synchrotron radiation, Mineralogy, Data acquisition, Software, business, Instrumentation, Algorithm, Dimensionless quantity
الوصف: The Dynamic Analysis (DA) method in the GeoPIXE software provides a rapid tool to project quantitative element images from PIXE and SXRF imaging event data both for off-line analysis and in real-time embedded in a data acquisition system. Initially, it assumes uniform sample composition, background shape and constant model X-ray relative intensities. A number of image correction methods can be applied in GeoPIXE to correct images to account for chemical concentration gradients, differential absorption effects, and to correct images for pileup effects. A new method, applied in a second pass, uses an end-member phase decomposition obtained from the first pass, and DA matrices determined for each end-member, to re-process the event data with each pixel treated as an admixture of end-member terms. This paper describes the new method and demonstrates through examples and Monte-Carlo simulations how it better tracks spatially complex composition and background shape while still benefitting from the speed of DA.
تدمد: 0168-583X
DOI: 10.1016/j.nimb.2015.08.021
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::6d6aa5f0545b83d26b1e07be592c0bf6
https://doi.org/10.1016/j.nimb.2015.08.021
Rights: CLOSED
رقم الانضمام: edsair.doi...........6d6aa5f0545b83d26b1e07be592c0bf6
قاعدة البيانات: OpenAIRE
الوصف
تدمد:0168583X
DOI:10.1016/j.nimb.2015.08.021