scatfit - v0.3.2

This version has improved performance for wide FRBs or pulsar pulses. It is faster and more flexible in terms of input data.

Please upgrade your local installation.

• Set the minimum parameter hints from the data sampling time. This approach is much better and more flexible than hard-coding the values.
• Added additional regression tests.
• Squeezed out another ~20 % of runtime performance from the already highly optimised Cython / C code.
• Improved the profiling code.
• Added the command line option "-o" or "--output" to output all the diagnostic plots to PDF files to speed up the runs on busy machines. Running with the "-o" option and using evince *.pdf later is much faster.
• The code now displays the autocorrelation times of the Markov chain for each parameter.
• Added the new and forgotten modules to the API documentation.
• Evaluate the "bandintegrated" model once for each MHz of sub-band bandwidth, up to a given maximum number of frequencies.
• Do not show the individual points on the corner plots to speed up the processing.
• Sorted command line arguments into sections.
• Labelled the diagnostic plots with the sub-band numbers for easier diagnostics.
• Added an improved S/N computation algorithm that uses the boxcar equivalent pulse width Weq of the data. scatfit displays both the old peak S/N ("S/N peak") and the new S/N based on the boxcar equivalent width ("S/N Weq"). It uses the latter internally.
• Added f-strings and improved docstrings.
• Dropped Python 2.7+ support. Please upgrade.

Full Changelog: https://github.com/fjankowsk/scatfit/compare/v0.3.1...v0.3.2

- Python
Published by fjankowsk 11 months ago

scatfit - v0.3.1

• Additions and tweaks to the documentation.
• Scatfit tested on further telescope data (LOFAR & NRT).
• Tweaks for very low-frequency data.
• Adjustments to the test runner configuration. Python 3.7 was removed as a test target.

Full Changelog: https://github.com/fjankowsk/scatfit/compare/v0.3.0...v0.3.1

- Python
Published by fjankowsk about 1 year ago

scatfit - v0.3.0

State of the software after implementing and testing the pulsar fold-mode profile data fitting.

scatfit works well on pulsar fold-mode data now. I tested the code on data from several radio telescopes (MeerKAT, NenuFAR, and uGMRT).

• Various other documentation improvements.
• Documented how to fit pulsar and FRB data.
• Mentioned the data formats supported.
• Added code to correctly load pre-dedispersed data, such as from a single-pulse pipeline.
• Added code to correctly load full-polarisation data.
• Added a --norfi command line option to skip all internal RFI excision methods. This is useful for pre-cleaned data.
• Improvements to the output plots.
• Tweaked the plots and output for low-frequency NenuFAR data.
• Performed significant verification of the code on data from several radio telescopes.
• Made the code sideband order agnostic. It flips the band, if required.
• Edits so archive.py handles tsamp and freqs correctly by @jamesdturner in https://github.com/fjankowsk/scatfit/pull/3
• Described what to do for voltage data.
• Explained how to determine a scattering-corrected DM reliably.

Pull Requests Merged

• Edits so archive.py handles tsamp and freqs correctly by @jamesdturner in https://github.com/fjankowsk/scatfit/pull/3

New Contributors

• @jamesdturner made their first contribution in https://github.com/fjankowsk/scatfit/pull/3

Full Changelog: https://github.com/fjankowsk/scatfit/compare/v0.2.23...v0.3.0

- Python
Published by fjankowsk over 1 year ago

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 https://github.com/fjankowsk/scatfit/pull/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 https://github.com/fjankowsk/scatfit/pull/1.
• Contributions to that by @jamesdturner.

Full Changelog: https://github.com/fjankowsk/scatfit/compare/v0.2.21...v0.2.23

- Python
Published by fjankowsk over 1 year ago

scatfit - 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: https://github.com/fjankowsk/scatfit/compare/v0.2.20...v0.2.21

- Python
Published by fjankowsk over 2 years ago

scatfit - 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: https://github.com/fjankowsk/scatfit/compare/v0.2.19...v0.2.20

- Python
Published by fjankowsk over 2 years ago

scatfit - 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: https://github.com/fjankowsk/scatfit/compare/v0.2.18...v0.2.19

- Python
Published by fjankowsk over 2 years ago

scatfit - 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: https://github.com/fjankowsk/scatfit/compare/v0.2.16...v0.2.17

- Python
Published by fjankowsk about 3 years ago