Acoular 24.05 documentation


«  BeamformerAdaptiveGrid   ::   fbeamform   ::   PointSpreadFunction  »


class acoular.fbeamform.BeamformerGridlessOrth

Bases: BeamformerAdaptiveGrid

Orthogonal beamforming without predefined grid.

eva_list = CArray(dtype=int, desc='components')

List of components to consider, use this to directly set the eigenvalues used in the beamformer. Alternatively, set n.

n = Int(1)

Number of components to consider, defaults to 1. If set, eva_list will contain the indices of the n largest eigenvalues. Setting eva_list afterwards will override this value.

bounds = List(Tuple(Float, Float), minlen=3, maxlen=3, value=[(-1.0, 1.0), (-1.0, 1.0), (0.01, 1.0)])

Geometrical bounds of the search domain to consider. bound ist a list that contains exactly three tuple of (min,max) for each of the coordinates x, y, z. Defaults to [(-1.,1.),(-1.,1.),(0.01,1.)]

shgo = Dict

options dictionary for the SHGO solver, see scipy docs. Default is Sobol sampling Nelder-Mead local minimizer, 256 initial sampling points and 1 iteration


Sets the list of eigenvalues to consider.


Sets the list of eigenvalues to consider.

calc(ac, fr)

Calculates the result for the frequencies defined by freq_data.

This is an internal helper function that is automatically called when accessing the beamformer’s result or calling its synthetic() method.

acarray of floats

This array of dimension ([number of frequencies]x[number of gridpoints]) is used as call-by-reference parameter and contains the calculated value after calling this method.

frarray of booleans

The entries of this [number of frequencies]-sized array are either ‘True’ (if the result for this frequency has already been calculated) or ‘False’ (for the frequencies where the result has yet to be calculated). After the calculation at a certain frequency the value will be set to ‘True’

This method only returns values through the ac and fr parameters

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