Releases · fjosw/pyerrors

Second major version of pyerrors which comes with various new features and non-backward compatible changes. The most important novelties include:

The ensemble/replica distinction was reworked, replica are now indicated by the vertical bar |.
We now support error propagation and estimation for gapped or irregular data via the parameter idl.
The inclusion of constants with errors is now possible via cov_Obs. We do not recommend using pseudo_Obs for this purpose anymore.
pyerrors now supports error propagation for complex valued observables, so called CObs.
Most workflows are now centered around the Corr class for correlation functions which provides methods for effective masses, derivatives of correlators, fits, the GEVP, ...
The default data format for exchange and long term storage is now our new json.gz format. Julia I/O routines for compatibility with the ADerrors.jl implementation are also available at https://github.com/fjosw/ADjson.jl

All details can be found in the new documentation at https://fjosw.github.io/pyerrors/pyerrors.html or in the reworked examples.

Full Changelog: v1.1.0...v2.0.0

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