flav-io/flavio v0.20
Authors/Creators
- 1. TUM
- 2. C2PAP, Excellence cluster universe, LMU
Description
This release brings a new plot function, parallelization, a few minor new features and bug fixes, as well as updated experimental data.
New plot functionFor Bayesian analyses using Markov chains, smooth 1D and 2D histograms often
have to be generated. This is already possible using the functions
smooth_histogram and density_contour in flavio.plots. The new function
density_contour_joint combines these functions by showing the contours of a
2D distribution along with the 1D marginals along the x and y axes.
There is a demo of the new function in the new notebook in the examples repository.
When generating likelihood contour plots from parameter or Wilson coefficient
fits, one faces the often time consuming steps of computing the likelihood in
a 2D plane (using flavio.plots.likelihood_contour or
flavio.plots.likelihood_contour_data) or of generating the pseudo-measurement
for FastFit instances (using the make_measurement method).
All of these three functions can now be parallelized, leveraging the
power of multi-CPU systems. This works by simply passing the option
threads=N with N > 1 to these functions.
For treating upper limits in experimental measurements, e.g. on branching
ratios of unobserved decays, there is a new probability distribution
GeneralGammaUpperLimit that is appropriate for low-statistics counting
experiments with an uncertain background. This applies e.g. to the
rare B decays with neutrinos in the final state mentioned below.
- For all classes with named instances, e.g.
Observable,Measurement, orParameter, instances can now be accessed with a dictionary-like notation, e.g.Observable['BR(Bs->mumu)'], in addition to the oldget_instancemethod. - All 1D probability distributions now have methods
get_error_left,get_error_rightwith an argumentnsigmathat return the lower and upper error for a given number of sigmas. - The
FastFithas gained a new methodbest_fitreturning the position and log-likelihood of the best fit point in the space of fit parameters and Wilson coefficients.
- The world average of
BR(B->Xsgamma)has been updated to use the value of Misiak and Steinhauser that includes the recent Belle measurement - All existing limits on decays of the type B→Mνν, where M is a meson, have been added, including the new Belle analysis, and using the new generalized treatment of upper limits mentioned above. Thanks to James Kahn for useful discussions.
Files
flav-io/flavio-v0.20.zip
Files
(719.3 kB)
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Additional details
Related works
- Is supplement to
- https://github.com/flav-io/flavio/tree/v0.20 (URL)