The measplot.py script contains functions for plotting:
mplot(byname=False)
makes the summary plot of all experimental results. If the parameterbyname
isTrue
, the legend contains particle titles as on the plot below. Otherwise, the legend contains PDG particle codes.
average_plot()
produces the plot of averaged measurements together with predicted masses based on potential model and states assignments. The numbers in parentheses in legend denotechi^2/n.d.f.
obtained from the averaged measurements.
excl_vs_incl()
compares inclusive and inclusive measurements:
Other files are:
- measlist.py - list of measurements
- publist.py - list of publications
- states.py - list of states as in PDG and seleted states predicted by a potential model (Godfrey 2016)
- average.py - tools for averaging several measurements
- colors.py - color palettes