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adjust the discussion of σ for VEGAS

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hiro98 2020-04-06 21:25:22 +02:00
parent 895fb300ce
commit acbab6b3de
1 changed files with 5 additions and 4 deletions
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9
prog/python/qqgg/analytical_xs.org
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@ -309,7 +309,8 @@ occuring, the improvement is rather marginal.
And yet again export that as tex.
#+begin_src jupyter-python :exports both :results raw drawer
tex_value(*xs_pb_η, unit=r'\pico\barn', prefix=r'\sigma = ', save=('results', 'xs_mc_eta.tex'))
tex_value(*xs_pb_η, unit=r'\pico\barn', prefix=r'\sigma = ',
save=('results', 'xs_mc_eta.tex'))
#+end_src
#+RESULTS:
@ -371,7 +372,7 @@ Let's battle test the statistics.
So we see: the standard deviation is sound.
Doing the same thing with =VEGAS= shows, that we overestimate σ here.
Doing the same thing with =VEGAS= works as well.
#+begin_src jupyter-python :exports both :results raw drawer
num_runs = 1000
num_within = 0
@ -671,8 +672,8 @@ Let's define some little helpers.
for increment in increment_borders[2:-1]:
ax.axvline(x=increment, *args, **kwargs)
def plot_vegas_weighted_distribution(ax, points, dist, increment_borders, *args,
,**kwargs):
def plot_vegas_weighted_distribution(ax, points, dist,
increment_borders, *args, **kwargs):
"""Plot the distribution with VEGAS weights applied.
:param ax: axis