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 - fhtwith 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