Published July 14, 2016
| Version v1.0
Software
Open
hyperspy: HyperSpy 1.0
Authors/Creators
- Francisco de la Peña1
- Tomas Ostasevicius1
- Vidar Tonaas Fauske2
- Pierre Burdet3
- Petras Jokubauskas4
- Mike Sarahan5
- Duncan Johnstone1
- Magnus Nord
- Josh Taillon6
- Jan Caron7
- Katherine E. MacArthur8
- Alberto Eljarrat
- Stefano Mazzucco
- Eric Prestat9
- Tom Furnival1
- Michael Walls
- Gaël Donval
- Ben Martineau
- Luiz Fernando Zagonel10
- Andreas Garmannslund
- Thomas Aarholt11
- Christoph Gohlke
- iygr
- 1. University of Cambridge
- 2. Simile Research Laboratory
- 3. EPFL
- 4. Warsaw University
- 5. Continuum Analytics
- 6. University of Maryland
- 7. Research Centre Jülich / Ernst Ruska Centre
- 8. Forschungszentrum Jülich
- 9. University of Manchester
- 10. Unicamp
- 11. University of Oxford
Description
HyperSpy is an open source Python library which provides tools to facilitate the interactive data analysis of multi-dimensional datasets that can be described as multi-dimensional arrays of a given signal (e.g. a 2D array of spectra a.k.a spectrum image).
This is a major release. Here we only list the highlist. A detailed list of changes is available in github.
NEW- Region Of Interest (ROI).
- Robust PCA (RPCA) and online RPCA algorithms.
- Numpy ufuncs can now operate on HyperSpy’s signals.
- ComplexSignal and specialised subclasses to operate on complex data.
- Events logging.
- Query and fetch spectra from The EELS Database.
- Interactive operations.
- Events.
- Smart Adaptive Multi-dimensional Fitting (SAMFire).
- Store models in hdf5 files.
- Add fancy indexing to Model.
- Two-dimensional model fitting.
- Z-factors quantification.
- Cross section quantification.
- EDS curve fitting.
- X-ray absorption coefficient database.
- Support for reading certain files without loading them to memory.
- Bruker’s composite file (bcf) reading support.
- Electron Microscopy Datasets (EMD) read and write support.
- SEMPER unf read and write support.
- DENS heat log read support.
- NanoMegas blockfile read and write support.
- More useful AxesManager repr string with html repr for Jupyter Notebook.
- Better progress bar (tqdm).
- Add support for writing/reading scale and unit to tif files to be read with ImageJ or DigitalMicrograph.
- The following sections of the User Guide were revised and largely overwritten:
- Installing HyperSpy.
- Machine learning.
- Energy-Dispersive X-ray Spectrometry (EDS).
- New Developer Guide.
- Split components into components1D and components2D.
- Remove record_by from metadata.
- Remove simulation classes.
- The Signal1D, Signal2D and BaseSignal classes deprecated the old Spectrum Image and Signal classes.
Files
hyperspy-v1.0.zip
Files
(20.3 MB)
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Additional details
Related works
- Is supplement to
- https://github.com/hyperspy/hyperspy/tree/v1.0 (URL)