class MontePythonLike::Likelihood_clocks
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Inherits from MontePythonLike.Likelihood, MontePythonLike.Likelihood, object
Public Functions
| Name | |
|---|---|
| def | init(self self, path path, data data, command_line command_line) |
| def | loglkl(self self, cosmo cosmo, data data) |
| def | init(self self, path path, data data, command_line command_line) |
| def | loglkl(self self, cosmo cosmo, data data) |
Public Attributes
| Name | |
|---|---|
| z | |
| Hz | |
| err |
Additional inherited members
Public Functions inherited from MontePythonLike.Likelihood
| Name | |
|---|---|
| def | raise_fiducial_model_err(self self) |
| def | read_from_file(self self, path path, data data, command_line command_line) |
| def | get_cl(self self, cosmo cosmo, l_max l_max =-1) |
| def | get_unlensed_cl(self self, cosmo cosmo, l_max l_max =-1) |
| def | need_cosmo_arguments(self self, data data, dictionary dictionary) |
| def | read_contamination_spectra(self self, data data) |
| def | add_contamination_spectra(self self, cl cl, data data) |
| def | add_nuisance_prior(self self, lkl lkl, data data) |
| def | computeLikelihood(self self, ctx ctx) |
| def | raise_fiducial_model_err(self self) |
| def | read_from_file(self self, path path, data data, command_line command_line) |
| def | get_cl(self self, cosmo cosmo, l_max l_max =-1) |
| def | get_unlensed_cl(self self, cosmo cosmo, l_max l_max =-1) |
| def | need_cosmo_arguments(self self, data data, dictionary dictionary) |
| def | read_contamination_spectra(self self, data data) |
| def | add_contamination_spectra(self self, cl cl, data data) |
| def | add_nuisance_prior(self self, lkl lkl, data data) |
| def | computeLikelihood(self self, ctx ctx) |
Public Attributes inherited from MontePythonLike.Likelihood
| Name | |
|---|---|
| name | |
| folder | |
| data_directory | |
| default_values | |
| need_update | |
| use_nuisance | |
| nuisance | |
| path | |
| dictionary |
Public Functions inherited from MontePythonLike.Likelihood
| Name | |
|---|---|
| def | raise_fiducial_model_err(self self) |
| def | read_from_file(self self, path path, data data, command_line command_line) |
| def | get_cl(self self, cosmo cosmo, l_max l_max =-1) |
| def | get_unlensed_cl(self self, cosmo cosmo, l_max l_max =-1) |
| def | need_cosmo_arguments(self self, data data, dictionary dictionary) |
| def | read_contamination_spectra(self self, data data) |
| def | add_contamination_spectra(self self, cl cl, data data) |
| def | add_nuisance_prior(self self, lkl lkl, data data) |
| def | computeLikelihood(self self, ctx ctx) |
| def | raise_fiducial_model_err(self self) |
| def | read_from_file(self self, path path, data data, command_line command_line) |
| def | get_cl(self self, cosmo cosmo, l_max l_max =-1) |
| def | get_unlensed_cl(self self, cosmo cosmo, l_max l_max =-1) |
| def | need_cosmo_arguments(self self, data data, dictionary dictionary) |
| def | read_contamination_spectra(self self, data data) |
| def | add_contamination_spectra(self self, cl cl, data data) |
| def | add_nuisance_prior(self self, lkl lkl, data data) |
| def | computeLikelihood(self self, ctx ctx) |
Public Attributes inherited from MontePythonLike.Likelihood
| Name | |
|---|---|
| name | |
| folder | |
| data_directory | |
| default_values | |
| need_update | |
| use_nuisance | |
| nuisance | |
| path | |
| dictionary |
Detailed Description
class MontePythonLike::Likelihood_clocks;
Base implementation of H(z) measurements```
## Public Functions Documentation
### function __init__
def init( self self, path path, data data, command_line command_line )
**Reimplements**: [MontePythonLike::Likelihood::__init__](/documentation/code/darkbit/classes/classmontepythonlike_1_1likelihood/#function---init--)
It copies the content of self.path from the initialization routine of
the :class:Data <data.Data> class, and defines a handful of useful
methods, that every likelihood might need.
If the nuisance parameters required to compute this likelihood are not defined (either fixed or varying), the code will stop.
Parameters
data : class
Initialized instance of :class:Data <data.Data>
command_line : NameSpace
NameSpace containing the command line arguments```
function loglkl
def loglkl(
self self,
cosmo cosmo,
data data
)
Reimplements: MontePythonLike::Likelihood::loglkl
Placeholder to remind that this function needs to be defined for a
new likelihood.
Raises
------
NotImplementedError```
### function __init__
def init( self self, path path, data data, command_line command_line )
**Reimplements**: [MontePythonLike::Likelihood::__init__](/documentation/code/darkbit/classes/classmontepythonlike_1_1likelihood/#function---init--)
It copies the content of self.path from the initialization routine of
the :class:Data <data.Data> class, and defines a handful of useful
methods, that every likelihood might need.
If the nuisance parameters required to compute this likelihood are not defined (either fixed or varying), the code will stop.
Parameters
data : class
Initialized instance of :class:Data <data.Data>
command_line : NameSpace
NameSpace containing the command line arguments```
function loglkl
def loglkl(
self self,
cosmo cosmo,
data data
)
Reimplements: MontePythonLike::Likelihood::loglkl
Placeholder to remind that this function needs to be defined for a
new likelihood.
Raises
------
NotImplementedError```
## Public Attributes Documentation
### variable z
z;
### variable Hz
Hz;
### variable err
err;
-------------------------------
Updated on 2022-08-03 at 12:58:01 +0000