This release includes a number of underlying performance improvements that should largely be invisible to the user. One key user visible change is that the calculation of -2 ln L has been adjusted by a constant offset of -2 ln N, where N is the number of observed signal events. This has been done to keep the terms in the likelihood calculation of similar scale in hopes of reducing problems with numerical precision for large numbers of events. (This scaling can be disabled by passing LEGACY_LN_LIK=1 as an argument to make.) Also, the convergence criteria for MINUIT can be adjusted through the setTolerance method of the MinuitMinimizationManager. The user can now more easily switched between single and double precision floating point to s...
What's Changed (All changes by @emeryberger unless otherwise specified.) Proposed optimizations Cli...
New features Added fitting mode "simultaneous" to lk.refine_tracks_gaussian() which enforces optimi...
Fix bugs when the validation framework encountered empty datasets for various reasons. Add dataset a...
This new version now supports the ability for users to write a customized contribution to the calcul...
This version makes a minor change to allow MINUIT to automatically determine machine precision when ...
The most significant change to this version is an overhaul of the system of Makefiles. The entire s...
This re-enables new likelihood scaling. Consistent likelihood results now are report for MPI and no...
This release turns off by deafult the new likelihood scaling. That is, in the context of the notes ...
This release has some small corrections to the Dalitz tutorial to make it more consistent with docum...
This is another bug fix that corrects scaling of MC histograms in the PlotGenerator, which was affec...
New features: AsymptoticLimits functions are more memory efficient. New keyword histo_theta_batchsi...
[0.6.0] - 2022/05/16 Added Set weights can be used to re-apply the weight scaling omega. (#360) Out...
This is a beta of the OpenMM 8.0 release. Here are some of the more significant changes. This relea...
This release contains many performance improvements, particularly to the CUDA and OpenCL platforms. ...
A major focus of this release is on better supporting machine learning potentials. Many of the chan...
What's Changed (All changes by @emeryberger unless otherwise specified.) Proposed optimizations Cli...
New features Added fitting mode "simultaneous" to lk.refine_tracks_gaussian() which enforces optimi...
Fix bugs when the validation framework encountered empty datasets for various reasons. Add dataset a...
This new version now supports the ability for users to write a customized contribution to the calcul...
This version makes a minor change to allow MINUIT to automatically determine machine precision when ...
The most significant change to this version is an overhaul of the system of Makefiles. The entire s...
This re-enables new likelihood scaling. Consistent likelihood results now are report for MPI and no...
This release turns off by deafult the new likelihood scaling. That is, in the context of the notes ...
This release has some small corrections to the Dalitz tutorial to make it more consistent with docum...
This is another bug fix that corrects scaling of MC histograms in the PlotGenerator, which was affec...
New features: AsymptoticLimits functions are more memory efficient. New keyword histo_theta_batchsi...
[0.6.0] - 2022/05/16 Added Set weights can be used to re-apply the weight scaling omega. (#360) Out...
This is a beta of the OpenMM 8.0 release. Here are some of the more significant changes. This relea...
This release contains many performance improvements, particularly to the CUDA and OpenCL platforms. ...
A major focus of this release is on better supporting machine learning potentials. Many of the chan...
What's Changed (All changes by @emeryberger unless otherwise specified.) Proposed optimizations Cli...
New features Added fitting mode "simultaneous" to lk.refine_tracks_gaussian() which enforces optimi...
Fix bugs when the validation framework encountered empty datasets for various reasons. Add dataset a...