A multiplatform code for the analysis of energy-dispersive X-ray fluorescence spectra

By V. A. Solé, E. Papillon, M. Cotte, P. Walter, J. Susini. 2007

2,087 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Radiation, Surfaces, Coatings and Films

View Paper: https://www.semanticscholar.org/paper/d306216907f530982245d56c6df8382e4f19b8e8

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Laurenz Wiskott
2. Pietro Berkes
3. Niko Wilbert
4. Tiziano Zito
5. J. Urgen Schmidhuber
6. Yoshua Bengio
7. Baodong Chen
8. Zubair Nawaz

Citations in the corpus

• The fast azimuthal integration Python library: pyFAI (2015, methodology): “For the sake of consistency with other ESRF software projects (Solé et al., 2007), the GUI was developed using PyQt (or PySide).”
• Chromium immobilization by extraradical mycelium of arbuscular mycorrhiza contributes to plant chromium tolerance (2016, methodology): “The Si (Li) solid state detector was used to detect X-ray fluorescence emission lines with live time of 20 s. SR m-XRF spectra were processed by the PyMCA software package (Solé et al., 2007).”
• Modular Toolkit for Data Processing (MDP): A Python Data Processing Framework (2008, positive): “MDP has also been used embedded in the X-ray fl uorescence mapping package PyMCA (Solé et al., 2007), to implement auto tagging capabilities into the personal organizer application Chandler16 by OSAF17, and as a framework for the implementation of data processing algorithms in the context of an adva”