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- add get_multinomial_prob() function to stats.py
- add plot_hist2_data_mc() function to do the normal particle id plot
but also print p values
- other small bug fixes
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This commit adds the new file sddm/stats.py to and adds a function to
correctly sample a Monte Carlo histogram when computing p-values. In
particular, I now take into account the uncertainty on the total number
of expected events by drawing from a gamma distribution, which is the
posterior of the Poisson likelihood function with a prior of 1/lambda.
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This commit adds a first draft of a script called chi2. This script calculates
a chi2 for the null hypothesis test if the events in the energy range 20 MeV -
10 GeV match what we expect from atmospheric neutrino events.
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