pint.models.noise_model

Pulsar timing noise models.

Functions

create_ecorr_quantization_matrix(toas_table)	Create quantization matrix mapping TOAs to observing epochs.
create_fourier_design_matrix(t, f)	Construct a Fourier design matrix from a given set of frequencies.
get_ecorr_epochs(toas_table[, dt, nmin])	Find only epochs with more than 1 TOA for applying ECORR.
get_ecorr_nweights(toas_table[, dt, nmin])	Get the number of epochs associated with each ECORR.
get_rednoise_freqs(t, nmodes[, Tspan, ...])	Compute an array of red-noise frequencies, optionally mixing log- and linearly spaced frequencies.
make_interpolation_basis(toas[, nodes, dt, kind])	Construct an interpolation basis for the given TOAs and interpolation parameters using scipy.interpolate.interp1d.
matern_kernel(nodes[, log10_sigma, ...])	Matérn covariance matrix.
periodic_kernel(nodes[, log10_sigma, ...])	Quasi-periodic (SE × periodic) covariance matrix.
powerlaw(f[, A, gamma, f_low_cut])	Power-law PSD.
project_basis_covariance(U, Phi)	Project basis-space covariance to data-space covariance.
ridge_kernel(nodes[, log10_sigma])	Ridge (diagonal) covariance matrix.
square_exponential_kernel(nodes[, ...])	Squared-exponential (RBF) covariance matrix.

Classes

CorrelatedNoiseComponent()	Abstract base class for all correlated noise components.
EcorrNoise()	Noise correlated between nearby TOAs.
NoiseComponent()
PLChromNoise()	Model of a radio frequency-dependent noise with a power-law spectrum and arbitrary chromatic index.
PLDMNoise()	Model of DM variations as radio frequency-dependent noise with a power-law spectrum.
PLRedNoise()	Timing noise with a power-law spectrum.
PLSWNoise()	Model of solar wind DM variations as radio frequency-dependent noise with a power-law spectrum.
ScaleDmError()	Correction for estimated wideband DM measurement uncertainty.
ScaleToaError()	Correct the reported TOA uncertainties.
TimeDomainSWNoise()	Time-domain solar wind noise model with a selectable GP kernel.
WhiteNoiseComponent()	Abstract base class for all white noise components.