Releases: fjankowsk/scatfit
Releases · fjankowsk/scatfit
v0.2.23
Software after adding the PSRCHIVE loader class and various smaller tweaks.
- Switched to own forks for some of the dependencies until the issues can be fixed upstream.
- Made software install and work correctly on Python 3.12. Extended the regression tests to this Python version.
- Cleanup of the code.
- Reading PSRCHIVE files and new overview plots by @InesPM in #1.
- Added the NenuFAR telescope as a simulation target to
simpulse
. - Improved the integer quantization code in
simpulse
. - Removed redundant output.
New Contributors
- @InesPM made their first contribution in #1.
- Contributions to that by @jamesdturner.
Full Changelog: v0.2.21...v0.2.23
v0.2.21
Software after adding Readthedocs online documentation and CI/CD actions to build and deploy manylinux platform wheels on the PyPI software index.
- Switched to Cython 3.0.0 release.
- Added GitHub Action to build manylinux platform wheels on demand.
- Moved CI/CD actions into reusable workflows.
- Added Sphinx-generated documentation on Readthedocs.
Full Changelog: v0.2.20...v0.2.21
v0.2.20
Software after improvements to the pulse simulation code.
- Added NenuFAR simulation target.
- Added commandline switch to let the user select the data included in the fit.
- Switched to
pytest
test runner. - Added CI tests using GitHub Actions.
- Correctly simulate intrachannel dispersive smearing in the
simpulse
code. - Various other small tweaks.
Full Changelog: v0.2.19...v0.2.20
v0.2.19
Code after adding scatfit
to the PyPI software index.
Changes:
- You can now install
scatfit
by running:pip install scatfit
. - Various improvements to the output plots.
- Updated citation files and link to the now published paper.
- Several other minor tweaks.
Full Changelog: v0.2.18...v0.2.19
v0.2.17
- Added example plots.
- Implemented a true band-integrated profile model.
- Implemented the most important profile models using Cython, resulting in a ~1.8x speed improvement over the pure Python/Numpy implementations.
- Improved the processing speed considerably.
- Added regression tests to ensure that the Cython and Python/Numpy implementations are numerically identical.
- Switched to a standard exponentially-modified Gaussian function as profile model as default.
- Referred to the exponentially-modified Gaussian model as 'analytical' model.
- Added a short FAQ section.
- Tweaked output plots.
This software version was extensively verified using fake and MeerTRAP filterbank data.
Full Changelog: v0.2.16...v0.2.17