XRFast a new software package for processing of MA-XRF datasets using machine learning-Reference-Cited by-同舟云学术

XRFast a new software package for processing of MA-XRF datasets using machine learning

Author:

Vermeulen Marc¹^ORCID,McGeachy Alicia¹,Xu Bingjie¹,Chopp Henry²,Katsaggelos Aggelos²,Meyers Rebecca³,Alfeld Matthias⁴,Walton Marc⁵^ORCID

Affiliation:

1. Northwestern University/Art Institute of Chicago Center for Scientific Studies in the Arts (NU-ACCESS), 2145 Sheridan Road, Evanston, IL, USA

2. Department of ECE, Northwestern University, Evanston, IL, USA

3. National Museum of Mexican Art, 1852 W. 19th Street, Chicago, IL, USA

4. Delft University of Technology, Department of Materials Science and Engineering (MSE), 2628 CN Delft, Netherlands

5. M+, 38 Museum Drive, West Kowloon Cultural District, Hong Kong

Abstract

XRFast is a new software package written in Julia to decompose XRF imaging dataset.

Publisher

Royal Society of Chemistry (RSC)

Subject

Spectroscopy,Analytical Chemistry

Link

Reference63 articles.

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