SampleHandlerInterface

class pyMaCh3._pyMaCh3.samples.SampleHandlerInterface

Bases: pybind11_object

Methods Summary

get_bin_LLH(self, data, mc, w2)	Get the LLH for a bin by comparing the data and MC. The result depends on having previously set the test statistic using pyMaCh3.samples.SampleHandlerInterface.set_test_stat()
get_likelihood(self)	Get the sample likelihood at the current point in your model space.
get_mc_hist(self, sample)	Get MC histogram as numpy arrays.
get_n_dim(self, sample)	Get the dimension of a given sample
get_n_samples(self)	Get the total number of samples
reweight(self)	reweight the MC events in this sample.
set_test_stat(self, test_stat)	Set the test statistic that should be used when calculating likelihoods.

Methods Documentation

get_bin_LLH(self: pyMaCh3._pyMaCh3.samples.SampleHandlerInterface, data: float, mc: float, w2: float) → float

Get the LLH for a bin by comparing the data and MC. The result depends on having previously set the test statistic using pyMaCh3.samples.SampleHandlerInterface.set_test_stat()

param data:

The data content of the bin.

param mc:

The mc content of the bin

param w2:

The Sum(w_{i}^2) (sum of weights squared) in the bin, which is sigma^2_{MC stats}

get_likelihood(self: pyMaCh3._pyMaCh3.samples.SampleHandlerInterface) → float

Get the sample likelihood at the current point in your model space. You will need to override this.

get_mc_hist(self: SampleHandlerBase, sample: int) → tuple

Get MC histogram as numpy arrays. For 1D: Returns (contents, edges) For 2D: Returns (contents, edgesX, edgesY) where contents is shape (nbinsY, nbinsX) for 2D

get_n_dim(self: pyMaCh3._pyMaCh3.samples.SampleHandlerInterface, sample: int) → int

Get the dimension of a given sample

get_n_samples(self: pyMaCh3._pyMaCh3.samples.SampleHandlerInterface) → int

Get the total number of samples

reweight(self: pyMaCh3._pyMaCh3.samples.SampleHandlerInterface) → None

reweight the MC events in this sample. You will need to override this.

set_test_stat(self: pyMaCh3._pyMaCh3.samples.SampleHandlerInterface, test_stat: pyMaCh3._pyMaCh3.samples.TestStatistic) → None

Set the test statistic that should be used when calculating likelihoods.

param test_stat:

The new test statistic to use