Utils

WORK IN PROGRESS

QUnfold.utils.compute_chi2(observed, expected, covariance)

Compute the reduced chi-square between the observed and the expected histogram.

Parameters:

• observed (numpy.ndarray) – observed histogram.

• expected (numpy.ndarray) – expected histogram.

• covariance (numpy.ndarray) – covariance matrix.

Returns:

reduced chi-square.

Return type:

float

QUnfold.utils.normalize_response(response, truth_mc)

Normalize the response matrix using the Monte Carlo generated truth histogram.

Parameters:

• response (numpy.ndarray) – response matrix to normalize.

• truth_mc (numpy.ndarray) – Monte Carlo truth histogram.

Returns:

normalized response matrix.

Return type:

numpy.ndarray