Substantial rewrite of most of the package, though the functionality is mostly the same. The new code is also mostly backwards compatible, but has some new features, and is more robust and better tested than before. The new features include: coarse-graining of data, to reduce its size; simpler specification of tmin, etc. in correlators; new keywords reverse and reverseddata in Corr2 and Corr3 that facilitate handling time-reversed data (e.g., for combining a->V->b with b->V->a); support for reading datasets from hdf5-formatted files; and new options for chained fits. This version requires lsqfit v9.1.1 and gvar v8.2 or later
What's Changed Stabilize covariance learning with FillScaleTriL and update config behaviour by @pat...
<p>cogee is a command-line interface (CLI) designed to simplify the process of registering Clo...
More efficient handling of large sparse covariance matrices in gvar.svd (see gvar.evalcov_blocks())....
Updated corrfitter to work with v10 of lsqfit. Gives new functionality for chained fits
New, easier to use fastfit function. Further elaboration of Annotated Examples. Adapted to work with...
Updated to work with lsqfit v11, which leads to some incompatibility but only in obscure, mostly unu...
Minor (and rare) bug fix for CorrFitter. Improved documentation on SVD cuts and goodness of fit
Adds new class lsqfit.MultiFitter. This provides a framework for organizing complex fits around a sm...
Very tiny update to remove a deprecation error that numpy has started generating
Updates corrfitter.EigenBasis, which is corrfitter's implementation of a generalized eigenvalue algo...
This version offers a major overhaul of the underlying fitting strategies used by lsqfit, featuring ...
New, more robust implementation for BufferDict. Also simplifies previous implementation of non-Gauss...
Significant rewrite of gvar.evalcov_blocks(g), making it much faster for large, dense covariance mat...
New Features: Cleaner API: Ability to handle both doubles and floats at runtime Runtime feature co...
New Features: Cleaner API: Ability to handle both doubles and floats at runtime Runtime feature con...
What's Changed Stabilize covariance learning with FillScaleTriL and update config behaviour by @pat...
<p>cogee is a command-line interface (CLI) designed to simplify the process of registering Clo...
More efficient handling of large sparse covariance matrices in gvar.svd (see gvar.evalcov_blocks())....
Updated corrfitter to work with v10 of lsqfit. Gives new functionality for chained fits
New, easier to use fastfit function. Further elaboration of Annotated Examples. Adapted to work with...
Updated to work with lsqfit v11, which leads to some incompatibility but only in obscure, mostly unu...
Minor (and rare) bug fix for CorrFitter. Improved documentation on SVD cuts and goodness of fit
Adds new class lsqfit.MultiFitter. This provides a framework for organizing complex fits around a sm...
Very tiny update to remove a deprecation error that numpy has started generating
Updates corrfitter.EigenBasis, which is corrfitter's implementation of a generalized eigenvalue algo...
This version offers a major overhaul of the underlying fitting strategies used by lsqfit, featuring ...
New, more robust implementation for BufferDict. Also simplifies previous implementation of non-Gauss...
Significant rewrite of gvar.evalcov_blocks(g), making it much faster for large, dense covariance mat...
New Features: Cleaner API: Ability to handle both doubles and floats at runtime Runtime feature co...
New Features: Cleaner API: Ability to handle both doubles and floats at runtime Runtime feature con...
What's Changed Stabilize covariance learning with FillScaleTriL and update config behaviour by @pat...
<p>cogee is a command-line interface (CLI) designed to simplify the process of registering Clo...
More efficient handling of large sparse covariance matrices in gvar.svd (see gvar.evalcov_blocks())....