API Reference

Classes

AbstractArray()	Abstract class for Matrix and Vector.
Action([base])	Allows for delayed method calls
Ensemble([raw, bg, bg_ratio, path])	Generates perturbated matrices to estimate uncertainty
EnsembleNormalizer(*, extractor[, …])	Normalizes NLD nad γSF extracted from the ensemble
Extractor([ensemble, trapezoid, path])	Extracts nld and γSF from an Ensemble or a Matrix
FirstGeneration()	First generation method from Guttormsen et al.
Matrix([values, Eg, Ex, std, path, shape, state])	Stores 2d array with energy axes (a matrix).
Model(name[, _Model__isfrozen])	Dataclass for Model
NormalizationParameters(name[, …])	Storage for normalization parameters + some convenience functions
NormalizerGSF(*[, normalizer_nld, nld, …])	Normalize γSF to a given` <Γγ> (Gg)
NormalizerNLD(*[, nld, discrete, path, …])	Normalizes NLD to empirical data
NormalizerSimultan(*[, gsf, nld, …])	Simultaneous normalization of nld and gsf.
Response(path)	Interpolates response read from file for current setup
ResultsNormalized(name[, _Model__isfrozen, …])	Class to store the results of the Oslo Method
SpinFunctions(Ex, J, model, pars)	Calculates spin distributions, spin cuts (…)
Unfolder([num_iter, response])	Performs Guttormsen unfolding
Vector([values, E, path, std, units])	Stores 1d array with energy axes (a vector)

Functions

div0(a, b)	division function designed to ignore / 0, i.e.
example_raw(name)	Load example raw data.
fill_negative(matrix, window_size)	Fill negative channels with positive counts from neighbouring channels
gauss_smoothing(double[, double[, double[, …)	Function which smooths an array of counts by a Gaussian of full-width-half-maximum FWHM.
gauss_smoothing_matrix_1D(matrix_in, …[, axis])	Smooth a matrix with a Gaussian
gaussian(double[, double mu, double sigma)	Returns a normalized Gaussian supported on Emids.
index(double[, double element)	Finds the index of the closest element in the array
list_examples()	List examples
load_levels_discrete(path, energy)	Load discrete levels without smoothing
load_levels_smooth(path, energy[, resolution])	Load discrete levels with smoothing
nld_T_product(double[, double[, double[, …)	Computes first generation matrix from nld and gSF
normalize_rows(array)	Normalize each row to unity
rebin_1D(double[, double[, double[)	Rebin an array of counts from binning mids_in to binning mids_out
rebin_2D(double[, , double[, double[, int axis=0)	Rebin a matrix of counts from binning mids_in to binning mids_out
to_plot_axis(axis)	Maps axis to 0, 1 or 2 according to which axis is specified

Variables

Todo

More beautiful way of excluding imported classes/variables.