class MontePythonLike::Likelihood_isw

[No description available]

Inherits from MontePythonLike.Likelihood, MontePythonLike.Likelihood, object

Public Functions

Name
definit(self self, path path, data data, command_line command_line)
defbin_cl(self self, l l, cl cl, bins bins, cov cov =None)
defintegrand_cross(self self, z z, cosmo cosmo, l l)
defintegrand_auto(self self, z z, cosmo cosmo, l l)
defcompute_loglkl(self self, cosmo cosmo, data data, b b)
definit(self self, path path, data data, command_line command_line)
defbin_cl(self self, l l, cl cl, bins bins, cov cov =None)
defintegrand_cross(self self, z z, cosmo cosmo, l l)
defintegrand_auto(self self, z z, cosmo cosmo, l l)
defcompute_loglkl(self self, cosmo cosmo, data data, b b)

Public Attributes

Name
l_cross
l_auto
bins_cross
bins_auto
cov_binned_cross
cov_binned_auto
dndz
norm

Additional inherited members

Public Functions inherited from MontePythonLike.Likelihood

Name
defloglkl(self self, cosmo cosmo, data data)
defraise_fiducial_model_err(self self)
defread_from_file(self self, path path, data data, command_line command_line)
defget_cl(self self, cosmo cosmo, l_max l_max =-1)
defget_unlensed_cl(self self, cosmo cosmo, l_max l_max =-1)
defneed_cosmo_arguments(self self, data data, dictionary dictionary)
defread_contamination_spectra(self self, data data)
defadd_contamination_spectra(self self, cl cl, data data)
defadd_nuisance_prior(self self, lkl lkl, data data)
defcomputeLikelihood(self self, ctx ctx)
defloglkl(self self, cosmo cosmo, data data)
defraise_fiducial_model_err(self self)
defread_from_file(self self, path path, data data, command_line command_line)
defget_cl(self self, cosmo cosmo, l_max l_max =-1)
defget_unlensed_cl(self self, cosmo cosmo, l_max l_max =-1)
defneed_cosmo_arguments(self self, data data, dictionary dictionary)
defread_contamination_spectra(self self, data data)
defadd_contamination_spectra(self self, cl cl, data data)
defadd_nuisance_prior(self self, lkl lkl, data data)
defcomputeLikelihood(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
defloglkl(self self, cosmo cosmo, data data)
defraise_fiducial_model_err(self self)
defread_from_file(self self, path path, data data, command_line command_line)
defget_cl(self self, cosmo cosmo, l_max l_max =-1)
defget_unlensed_cl(self self, cosmo cosmo, l_max l_max =-1)
defneed_cosmo_arguments(self self, data data, dictionary dictionary)
defread_contamination_spectra(self self, data data)
defadd_contamination_spectra(self self, cl cl, data data)
defadd_nuisance_prior(self self, lkl lkl, data data)
defcomputeLikelihood(self self, ctx ctx)
defloglkl(self self, cosmo cosmo, data data)
defraise_fiducial_model_err(self self)
defread_from_file(self self, path path, data data, command_line command_line)
defget_cl(self self, cosmo cosmo, l_max l_max =-1)
defget_unlensed_cl(self self, cosmo cosmo, l_max l_max =-1)
defneed_cosmo_arguments(self self, data data, dictionary dictionary)
defread_contamination_spectra(self self, data data)
defadd_contamination_spectra(self self, cl cl, data data)
defadd_nuisance_prior(self self, lkl lkl, data data)
defcomputeLikelihood(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 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 bin_cl

def bin_cl( self self, l l, cl cl, bins bins, cov cov =None )



### function integrand_cross

def integrand_cross( self self, z z, cosmo cosmo, l l )



### function integrand_auto

def integrand_auto( self self, z z, cosmo cosmo, l l )



### function compute_loglkl

def compute_loglkl( self self, cosmo cosmo, data data, b b )



### 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 bin_cl 

def bin_cl(
    self self,
    l l,
    cl cl,
    bins bins,
    cov cov =None
)

function integrand_cross 

def integrand_cross(
    self self,
    z z,
    cosmo cosmo,
    l l
)

function integrand_auto 

def integrand_auto(
    self self,
    z z,
    cosmo cosmo,
    l l
)

function compute_loglkl 

def compute_loglkl(
    self self,
    cosmo cosmo,
    data data,
    b b
)

Public Attributes Documentation

variable l_cross 

l_cross;

variable l_auto 

l_auto;

variable bins_cross 

bins_cross;

variable bins_auto 

bins_auto;

variable cov_binned_cross 

cov_binned_cross;

variable cov_binned_auto 

cov_binned_auto;

variable dndz 

dndz;

variable norm 

norm;

Updated on 2022-08-03 at 12:58:01 +0000

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