pybird.nnlo module

class pybird.nnlo.NNLO_counterterm(load=True, save=True, path='./', NFFT=256, co=<pybird.common.Common object>)[source]

Bases: object

A class for computing next-to-next-to-leading-order counterterm corrections.

This class implements the k^4 P11 NNLO counterterm correction to the power spectrum and correlation function. It uses FFTLog to perform the spherical Bessel transforms between Fourier and configuration space.

co

Common parameters shared across calculations.

Type:: Common

fftsettings

Settings for FFTLog transforms (Nmax, xmin, xmax, bias).

Type:: dict

fft

FFTLog engine for spherical Bessel transforms.

Type:: FFTLog

Mcf

Transformation matrices for correlation function.

Type:: ndarray

sPow

Array of s^n powers for correlation function calculation.

Type:: ndarray

kdeep

Deep k-array for accurate Fourier transforms.

Type:: ndarray

smask_out

Mask for s values above threshold.

Type:: ndarray

smask_in

Mask for s values below threshold.

Type:: ndarray

swin

Window function for correlation function smoothing.

Type:: CoefWindow

setMcf()[source]: Compute transformation matrices for correlation function.

setsPow()[source]: Compute s^n powers for correlation function calculation.

CoefsPow(coef)[source]: Multiply coefficients with s^n powers.

Cf(bird, PEH_interp)[source]: Compute NNLO counterterm correlation function.

Ps(bird, PEH_interp)[source]: Compute NNLO counterterm power spectrum.

setMcf()[source]: Compute the next-to-next-to-leading counterterm correlation function matrices.

setsPow()[source]

CoefsPow(coef)[source]

Cf(bird, PEH_interp)[source]

Ps(bird, PEH_interp)[source]

class pybird.nnlo.NNLO_higher_derivative(xdata, with_cf=False, NFFT=256, co=<pybird.common.Common object>)[source]