scipy.fft.
fhtoffset#
- scipy.fft.fhtoffset(dln, mu, initial=0.0, bias=0.0)[source]#
Return optimal offset for a fast Hankel transform.
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:
- dlnfloat
Uniform logarithmic spacing of the transform.
- mufloat
Order of the Hankel transform, any positive or negative real number.
- initialfloat, optional
Initial value for the offset. Returns the closest value that fulfils the low-ringing condition.
- biasfloat, optional
Exponent of power law bias, any positive or negative real number.
- Returns:
- offsetfloat
Optimal offset of the uniform logarithmic spacing of the transform that fulfils a low-ringing condition.
See also
fht
Definition of the fast Hankel transform.
References
[1]Hamilton A. J. S., 2000, MNRAS, 312, 257 (astro-ph/9905191)
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 0.5454581477676637