Nion Swift EELS Analysis
========================
A Nion Swift library for EELS analysis (used in Nion Swift)
-----------------------------------------------------------
Nion Swift EELS analysis is comprised of libraries and UI's useful for EELS
analysis.
.. start-badges
.. list-table::
:stub-columns: 1
* - tests
- | |linux|
* - package
- |version|
.. |linux| image:: https://img.shields.io/travis/nion-software/eels-analysis/master.svg?label=Linux%20build
:target: https://travis-ci.org/nion-software/eels-analysis
:alt: Travis CI build status (Linux)
.. |version| image:: https://img.shields.io/pypi/v/nionswift-eels-analysis.svg
:target: https://pypi.org/project/nionswift-eels-analysis/
:alt: Latest PyPI version
.. end-badges
More Information
----------------
- `Changelog <https://github.com/nion-software/eels-analysis/blob/master/CHANGES.rst>`_
Changelog (nionswift-eels-analysis)
===================================
0.6.5 (2023-09-28):
-------------------
- Fix a bug in temperature calculation.
0.6.4 (2023-08-17):
-------------------
- Add Python 3.11 support. Drop 3.8.
- Update titles for new auto-title system in nionswift.
- Fix thermometry issues.
0.6.3 (2022-09-14):
-------------------
- Fix regression in elemental mapping radio buttons for picked edge.
0.6.2 (2022-07-26):
-------------------
- Introduce power law (uniform) background model, uses uniform background shape.
0.6.1 (2022-05-28):
-------------------
- Minor changes for improved nionui compatibility.
0.6.0 (2021-11-12):
-------------------
- Nion Swift 0.16 compatibility.
- Add measure temperature computation.
0.5.4 (2021-05-26):
-------------------
- Maintenance to reduce dependency on new/unstable niondata features.
- Improve colors for better visibility in align ZLP, live ZLP, live thickness.
- Vectorize thickness mapping for significant speed-up.
- Add calibrate spectrum tool.
0.5.3 (2021-03-12):
-------------------
- Fix issue with Align ZLP (COM) when using it on empty data.
- Fix issue with Align ZLP (COM) that caused a bias towards half-integer shifts.
- Allow Align ZLP to be used on single spectra. Useful for bringing the ZLP to calibrated zero.
0.5.2 (2020-11-13):
-------------------
- Fix issue with single channel zero loss peaks in thickness calculation.
- Ensure default background is power law.
- Improve wording in background menu.
0.5.1 (2020-10-06):
-------------------
- Add exponential functions for two-area method.
- Add two-area background fitting class.
- Improve speed of polynomial background and fix power law.
0.5.0 (2020-08-31):
-------------------
- Rework background models to allow for plug-in models.
- Made Align ZLP output the measured shifts in addition to the aligned spectra.
- Allow graphics to select the ROI for aligning spectra in Align ZLP.
- Allow 2D images in Align ZLP and interpret y-axis as sequence axis.
- Reworked Align ZLP to eliminate duplicate code.
0.4.4 (2019-10-24)
------------------
- Changed shift method in ZLP subpixel align to scipy.ndimage.shift with linear interpolation to get rid of artifacts.
0.4.3 (2019-04-29)
------------------
- Added checks to avoid applying live ZLP and thickness to 2D data items.
- Moved ZLP analysis functions to nion.eels_analysis module for better reuse.
0.4.2 (2019-03-27)
------------------
- Make Align ZLP support sequences AND 1D collections.
- Added menu items for center-of-mass and gaussian fit for ZLP alignment (both do sub-pixel alignment but much faster than cross-correlation)
0.4.1 (2019-01-07)
------------------
- Improve data type handling (do not auto-promote to float64).
- Improve menu item layout.
0.4.0 (2018-12-21)
------------------
- Add menu items for live thickness, thickness mapping, align zlp.
0.3.0 (2018-12-12)
------------------
- Nion Swift 0.14 compatibility.
- Use composite line plot display for display again.
0.2.1 (2018-10-14)
------------------
- Update original background subtraction to not use deprecated composite library item.
0.2.0 (2018-09-28)
------------------
- Add simplified background subtraction.
- Add live ZLP tracking.
0.1.1 (2018-05-12)
------------------
- Initial version online.
Raw data
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