pint.models.noise_model.EcorrNoise

class pint.models.noise_model.EcorrNoise[source]

Bases: NoiseComponent

Noise correlated between nearby TOAs.

This can occur, for example, if multiple TOAs were taken at different frequencies simultaneously: pulsar intrinsic emission jitters back and forth within the average profile, and this effect is the same for all frequencies. Thus these TOAs have correlated errors.

Parameters supported:

Name / Aliases

Description

Kind

ECORR {flag} {value} / TNECORR {flag} {value}

An error term that is correlated among all TOAs in an observing epoch.

us

Note

Ref: NANOGrav 11 yrs data

Methods

add_param(param[, deriv_func, setup])

Add a parameter to the Component.

ecorr_basis_weight_pair(toas)

Return a quantization matrix and ECORR weights.

ecorr_cov_matrix(toas)

Full ECORR covariance matrix.

get_ecorrs()

get_noise_basis(toas)

Return the quantization matrix for ECORR.

get_noise_weights(toas[, nweights])

Return the ECORR weights The weights used are the square of the ECORR values.

get_params_of_type(param_type)

Get all the parameters in timing model for one specific type.

get_prefix_mapping_component(prefix)

Get the index mapping for the prefix parameters.

is_in_parfile(para_dict)

Check if this subclass included in parfile.

match_param_aliases(alias)

Return the parameter corresponding to this alias.

param_help()

Print help lines for all available parameters in model.

print_par([format])

param format:

Parfile output format. PINT outputs the 'tempo', 'tempo2' and 'pint'

register_deriv_funcs(func, param)

Register the derivative function in to the deriv_func dictionaries.

remove_param(param)

Remove a parameter from the Component.

set_special_params(spcl_params)

setup()

Finalize construction loaded values.

validate()

Validate loaded values.

validate_toas(toas)

Check that this model component has TOAs where needed.

Attributes

aliases_map

Return all the aliases and map to the PINT parameter name.

category

component_types

free_params_component

Return the free parameters in the component.

introduces_correlated_errors

is_time_correlated

param_prefixs

register

setup()[source]

Finalize construction loaded values.

validate()[source]

Validate loaded values.

get_noise_basis(toas)[source]

Return the quantization matrix for ECORR.

A quantization matrix maps TOAs to observing epochs.

get_noise_weights(toas, nweights=None)[source]

Return the ECORR weights The weights used are the square of the ECORR values.

ecorr_basis_weight_pair(toas)[source]

Return a quantization matrix and ECORR weights.

A quantization matrix maps TOAs to observing epochs. The weights used are the square of the ECORR values.

ecorr_cov_matrix(toas)[source]

Full ECORR covariance matrix.

add_param(param, deriv_func=None, setup=False)

Add a parameter to the Component.

The parameter is stored in an attribute on the Component object. Its name is also recorded in a list, self.params.

Parameters:
  • param (pint.models.Parameter) – The parameter to be added.

  • deriv_func (function) – Derivative function for parameter.

property aliases_map

Return all the aliases and map to the PINT parameter name.

This property returns a dictionary from the current in timing model parameters’ aliase to the pint defined parameter names. For the aliases of a prefixed parameter, the aliase with an existing prefix index maps to the PINT defined parameter name with the same index. Behind the scenes, the indexed parameter adds the indexed aliase to its aliase list.

property free_params_component

Return the free parameters in the component.

This function collects the non-frozen parameters.

Return type:

A list of free parameters.

get_params_of_type(param_type)

Get all the parameters in timing model for one specific type.

get_prefix_mapping_component(prefix)

Get the index mapping for the prefix parameters.

Parameters:

prefix (str) – Name of prefix.

Returns:

A dictionary with prefix parameter real index as key and parameter name as value.

Return type:

dict

is_in_parfile(para_dict)

Check if this subclass included in parfile.

Parameters:

para_dict (dictionary) – A dictionary contain all the parameters with values in string from one parfile

Returns:

Whether the subclass is included in the parfile.

Return type:

bool

match_param_aliases(alias)

Return the parameter corresponding to this alias.

Parameters:

alias (str) – Alias name.

Note

This function only searches the parameter aliases within the current component. If one wants to search the aliases in the scope of TimingModel, please use TimingModel.match_param_aliase().

param_help()

Print help lines for all available parameters in model.

print_par(format='pint')
Parameters:

format (str, optional) – Parfile output format. PINT outputs the ‘tempo’, ‘tempo2’ and ‘pint’ format. The defaul format is pint. Actual formatting done elsewhere.

Returns:

str

Return type:

formatted line for par file

register_deriv_funcs(func, param)

Register the derivative function in to the deriv_func dictionaries.

Parameters:
  • func (callable) – Calculates the derivative

  • param (str) – Name of parameter the derivative is with respect to

remove_param(param)

Remove a parameter from the Component.

Parameters:

param (str or pint.models.Parameter) – The parameter to remove.

validate_toas(toas)

Check that this model component has TOAs where needed.