`scipy.fft._fftlog_backend:fhtoffset`

source: build-install/usr/lib/python3.14/site-packages/scipy/fft/_fftlog_backend.py:123

Signature

def fhtoffset(dln, mu, initial = 0.0, bias = 0.0)

Summary

Return optimal offset for a fast Hankel transform.

Extended Summary

Returns an offset close to initial that fulfils the low-ringing condition of ^[1] for the fast Hankel transform fht with logarithmic spacing dln, order mu and bias bias.

Parameters

dln : float: Uniform logarithmic spacing of the transform.
mu : float: Order of the Hankel transform, any positive or negative real number.
initial : float, optional: Initial value for the offset. Returns the closest value that fulfils the low-ringing condition.
bias : float, optional: Exponent of power law bias, any positive or negative real number.

Returns

offset : float: Optimal offset of the uniform logarithmic spacing of the transform that fulfils a low-ringing condition.

Notes

Array API Standard Support

fhtoffset is not in-scope for support of Python Array API Standard compatible backends other than NumPy.

See dev-arrayapi for more information.

Examples

from scipy.fft import fhtoffset
dln = 0.1
mu = 2.0
initial = 0.5
bias = 0.0
offset = fhtoffset(dln, mu, initial, bias)

✓

offset

✗

np.float64(0.5454581477676637)

Aliases

scipy.fft.fhtoffset