pybird.fftlog module

pybird.fftlog.MPC(l, pn)

matrix for spherical bessel transform from power spectrum to correlation function

pybird.fftlog.CoefWindow(N, window=1, left=True, right=True)

FFTLog auxiliary function: window sending the FFT coefficients to 0 at the edges. Adapted from fast-pt

class pybird.fftlog.FFTLog(**kwargs)

Bases: object

A class implementing the FFTLog algorithm.

Nmax

maximum number of points used to discretize the function

Type:

int, optional

xmin

minimum of the function to transform

Type:

float, optional

xmax

maximum of the function to transform

Type:

float, optional

bias

power by which we modify the function as x**bias * f

Type:

float, optional

setx()

Calculates the discrete x points for the transform

setPow()

Calculates the power in front of the function

Coef()

Calculates the single coefficients

sumCoefxPow(xin, f, x, window=1)

Sums over the Coef * Pow reconstructing the input function

setx()

setPow()

Coef(xin, f, extrap='extrap', window=1)

sumCoefxPow(xin, f, x, window=1)