PyMca, Hyperspectral Data and HDF5 - ESRF

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$Experiment title: (Long term report) X-ray diffractive ... - Index of - ESRF$

Based on the batch generated element distribution maps … Slide: 22
… and their correlations as shown by the program Sulfur and antimony correlated Lead and antimony not correlated … we were able to determine the possible presence of stibnite grains (Sb 2 S 3 ) embedded in a lead containing matrix. M. Cotte, E. Welcomme, V.A. Solé, M. Salomé, M. Menu, Ph. Walter, J. Susini, Anal. Chem. 79 (2007) 6988-6994 Slide: 23
Page 1 and 2: PyMca, Hyperspectral Data and HDF5
Page 3 and 4: Integration into our acquisition sy
Page 5 and 6: Multiplatform Slide: 5
Page 7 and 8: PyMca Visualization Data courtesy o
Page 9 and 10: Use of (sub-)shell mass attenuation
Page 11 and 12: XRF Spectrum Analysis Typical proce
Page 13 and 14: Fit Configuration Dialog (II) Slide
Page 15 and 16: Quantification (II) Nominal concent
Page 17 and 18: Is it easy to embed? For the previo
Page 19 and 20: Advanced Fit Batch processing Selec
Page 21: Copyright C2RMF S Pb Ca Sb We wante
Page 25 and 26: Eigenimages and Eigenvectors Slide:
Page 31 and 32: Getting the actual information We c
Page 33 and 34: What have we done? We have used mul
Page 35 and 36: PyMca HDF5/NeXus SOLEIL NeXus Data
Page 37 and 38: The PyMca HDF5 problem PyMca can do
Page 39 and 40: The alternative looks ugly, doesn
Page 41: Acknowledgements My ESRF colleagues

PyMca, Hyperspectral Data and HDF5 - ESRF

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