docs: CHANGELOG updated.

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Fabian Joswig 2022-05-30 10:33:30 +01:00
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All notable changes to this project will be documented in this file.
## [2.1.0] - 2022-05-31
### Added
- `obs.covariance` now has the option to smooth small eigenvalues of the matrix with the method described in hep-lat/9412087.
- `Corr.prune` was added which can reduce the size of a correlator matrix before solving the GEVP.
- `Corr.show` has two additional optional arguments. `hide_sigma` to hide data points with large errors and `references` to display reference values as horizontal lines.
- I/O routines for ALPHA dobs format added.
- `input.hadrons` functionality extended.
### Changed
- The standard behavior of the `Corr.GEVP` method has changed. It now returns all eigenvectors of the system instead of only the specified ones as default. The standard way of sorting the eigenvectors was changed to `Eigenvalue`. The argument `sorted_list` was deprecated in favor of `sort`.
- Before performing a correlated fit the routine first runs an uncorrelated one to obtain a better guess for the initial parameters.
### Fixed
- `obs.covariance` now also gives correct estimators if data defined on non-identical configurations is passed to the function.
- Rounding errors in estimating derivatives of fit parameters with respect to input data from the inverse hessian reduced. This should only make a difference when the magnitude of the errors of different fit parameters vary vastly.
- Bug in json.gz format fixed which did not properly store the replica mean values. Format version bumped to 1.1.
- The GEVP matrix is now symmetrized before solving the system for all sorting options not only the one with fixed `ts`.
- Automatic range estimation improved in `fits.residual_plot`.
- Bugs in `input.bdio` fixed.
## [2.0.0] - 2022-03-31
### Added
- The possibility to work with Monte Carlo histories which are evenly or unevenly spaced was added.