snf_simulations.utils#

Utility functions for spectrum interpolation and sampling.

Module Contents#

Functions#

linear_interpolate_with_errors

Linearly interpolate histogram content and propagate errors onto new bins.

sample_histogram

Sample x values from histogram bins, similar to ROOT TH1::GetRandom.

API#

snf_simulations.utils.linear_interpolate_with_errors(original_bins: numpy.ndarray, original_content: numpy.ndarray, original_errors: numpy.ndarray, new_bins: numpy.ndarray) → tuple[numpy.ndarray, numpy.ndarray][source]#

Linearly interpolate histogram content and propagate errors onto new bins.

snf_simulations.utils.sample_histogram(bin_edges: numpy.ndarray, bin_contents: numpy.ndarray, samples: int = 100, seed: int | None = None) → numpy.ndarray[source]#

Sample x values from histogram bins, similar to ROOT TH1::GetRandom.

Parameters:

  • bin_edges – 1D array of bin edges with length N+1.

  • bin_contents – 1D array of bin contents with length N.

  • samples – Number of samples to draw.

  • seed – Seed for reproducible random sampling.

Returns:

Array of sampled x values.