class MontePythonLike::Likelihood_clik
[No description available]
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 | |
|---|---|
| lensing | |
| clik | |
| l_max | |
| nuisance | |
| name | |
| use_nuisance |
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 | |
|---|---|
| folder | |
| data_directory | |
| default_values | |
| need_update | |
| 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 | |
|---|---|
| folder | |
| data_directory | |
| default_values | |
| need_update | |
| path | |
| dictionary |
Public Functions Documentation
function init
def __init__(
self self,
path path,
data data,
command_line command_line
)
Reimplements: MontePythonLike::Likelihood::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](/documentation/code/main/classes/classmontepythonlike_1_1likelihood/#function-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
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](/documentation/code/main/classes/classmontepythonlike_1_1likelihood/#function-loglkl)
Placeholder to remind that this function needs to be defined for a new likelihood.
Raises
NotImplementedError```
Public Attributes Documentation
variable lensing
lensing;
variable clik
clik;
variable l_max
l_max;
variable nuisance
nuisance;
variable name
name;
variable use_nuisance
use_nuisance;
Updated on 2022-08-03 at 12:57:54 +0000