norm_exp_convolution
- pylluminator.stats.norm_exp_convolution(mu: float, sigma: float, alpha: float, signal_values: array, offset: int | float) array
Perform normalization and background correction on signal values using a normal-exponential convolution model.
- Parameters:
mu (float) – The mean (mu) of the background signal.
sigma (float) – The standard deviation (sigma) of the background signal.
alpha (float) – The correction factor, representing the shift in signal.
signal_values (numpy.ndarray) – Array of observed signal values to be corrected.
offset (int | float) – A constant value to add to the corrected signal for padding.
- Returns:
The background-corrected and normalized signal values.
- Return type: