From c8d6fc062b7aa431fa5bc08599e691fd09ed9e3b Mon Sep 17 00:00:00 2001 From: Sandro Dias Pinto Vitenti Date: Wed, 20 Sep 2023 22:23:49 -0300 Subject: [PATCH] Adding missing empty line in docs. --- .../gauss_family/statistic/source/number_counts.py | 9 +++++---- .../gauss_family/statistic/source/weak_lensing.py | 5 ++++- firecrown/models/cluster_mass_rich_proxy.py | 3 ++- 3 files changed, 11 insertions(+), 6 deletions(-) diff --git a/firecrown/likelihood/gauss_family/statistic/source/number_counts.py b/firecrown/likelihood/gauss_family/statistic/source/number_counts.py index 41ada58be..6bd010301 100644 --- a/firecrown/likelihood/gauss_family/statistic/source/number_counts.py +++ b/firecrown/likelihood/gauss_family/statistic/source/number_counts.py @@ -62,10 +62,10 @@ class LinearBiasSystematic(NumberCountsSystematic): The following parameters are special Updatable parameters, which means that they can be updated by the sampler, sacc_tracer is going to be used as a prefix for the parameters: + :ivar alphaz: the redshift exponent of the bias. :ivar alphag: the growth function exponent of the bias. :ivar z_piv: the pivot redshift of the bias. - """ def __init__(self, sacc_tracer: str): @@ -121,6 +121,7 @@ class PTNonLinearBiasSystematic(NumberCountsSystematic): The following parameters are special Updatable parameters, which means that they can be updated by the sampler, sacc_tracer is going to be used as a prefix for the parameters: + :ivar b_2: the quadratic bias. :ivar b_s: the stochastic bias. """ @@ -161,12 +162,12 @@ class MagnificationBiasSystematic(NumberCountsSystematic): The following parameters are special Updatable parameters, which means that they can be updated by the sampler, sacc_tracer is going to be used as a prefix for the parameters: + :ivar r_lim: the limiting magnitude. :ivar sig_c: the intrinsic dispersion of the source redshift distribution. :ivar eta: the slope of the luminosity function. :ivar z_c: the characteristic redshift of the source distribution. :ivar z_m: the slope of the source redshift distribution. - """ def __init__(self, sacc_tracer: str): @@ -224,8 +225,8 @@ class ConstantMagnificationBiasSystematic(NumberCountsSystematic): The following parameters are special Updatable parameters, which means that they can be updated by the sampler, sacc_tracer is going to be used as a prefix for the parameters: - :ivar mag_bias: the magnification bias. + :ivar mag_bias: the magnification bias. """ def __init__(self, sacc_tracer: str): @@ -255,8 +256,8 @@ class PhotoZShift(NumberCountsSystematic): The following parameters are special Updatable parameters, which means that they can be updated by the sampler, sacc_tracer is going to be used as a prefix for the parameters: - :ivar delta_z: the photo-z shift. + :ivar delta_z: the photo-z shift. """ def __init__(self, sacc_tracer: str): diff --git a/firecrown/likelihood/gauss_family/statistic/source/weak_lensing.py b/firecrown/likelihood/gauss_family/statistic/source/weak_lensing.py index 8e70e8922..305bbc7ad 100644 --- a/firecrown/likelihood/gauss_family/statistic/source/weak_lensing.py +++ b/firecrown/likelihood/gauss_family/statistic/source/weak_lensing.py @@ -60,6 +60,7 @@ class MultiplicativeShearBias(WeakLensingSystematic): The following parameters are special Updatable parameters, which means that they can be updated by the sampler, sacc_tracer is going to be used as a prefix for the parameters: + :ivar mult_bias: the multiplicative shear bias parameter. """ @@ -100,6 +101,7 @@ class LinearAlignmentSystematic(WeakLensingSystematic): The following parameters are special Updatable parameters, which means that they can be updated by the sampler, sacc_tracer is going to be used as a prefix for the parameters: + :ivar ia_bias: the intrinsic alignment bias parameter. :ivar alphaz: the redshift dependence of the intrinsic alignment bias. :ivar alphag: the growth function dependence of the intrinsic alignment bias. @@ -150,10 +152,10 @@ class TattAlignmentSystematic(WeakLensingSystematic): The following parameters are special Updatable parameters, which means that they can be updated by the sampler, sacc_tracer is going to be used as a prefix for the parameters: + :ivar ia_a_1: the amplitude of the linear alignment model. :ivar ia_a_2: the amplitude of the quadratic alignment model. :ivar ia_a_d: the amplitude of the density-dependent alignment model. - """ def __init__(self, sacc_tracer: Optional[str] = None): @@ -202,6 +204,7 @@ class PhotoZShift(WeakLensingSystematic): The following parameters are special Updatable parameters, which means that they can be updated by the sampler, sacc_tracer is going to be used as a prefix for the parameters: + :ivar delta_z: the photo-z shift. """ diff --git a/firecrown/models/cluster_mass_rich_proxy.py b/firecrown/models/cluster_mass_rich_proxy.py index 2138472e9..2b499b2cf 100644 --- a/firecrown/models/cluster_mass_rich_proxy.py +++ b/firecrown/models/cluster_mass_rich_proxy.py @@ -19,7 +19,8 @@ class ClusterMassRich(ClusterMass): """Cluster Mass Richness proxy. The following parameters are special Updatable parameters, which means that - they can be updated by the sampler. + they can be updated by the sampler: + :ivar mu_p0: mu parameter 0 :ivar mu_p1: mu parameter 1 :ivar mu_p2: mu parameter 2