rename kappa_ext_alt to use_kappa_ext_alt

sibirrer · Apr 24, 2024 · 7ac763c · 7ac763c
1 parent 1fd4b05
commit 7ac763c
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Showing 3 changed files with 11 additions and 11 deletions.
diff --git a/hierarc/Likelihood/cosmo_likelihood.py b/hierarc/Likelihood/cosmo_likelihood.py
@@ -29,7 +29,7 @@ def __init__(
         log_m2l_distribution="NONE",
         kappa_ext_sampling=False,
         kappa_ext_distribution="NONE",
-        kappa_ext_alt=False,
+        use_kappa_ext_alt=False,
         alpha_lambda_sampling=False,
         beta_lambda_sampling=False,
         alpha_gamma_in_sampling=False,
@@ -76,7 +76,7 @@ def __init__(
          according to the lens posterior kwargs 'lambda_scaling_property_beta'
         :param kappa_ext_sampling: bool, if True samples a global external convergence parameter
         :param kappa_ext_distribution: string, distribution function of the kappa_ext parameter
-        :param kappa_ext_alt: bool, if True samples kappa_ext with the kappa_ext_alt and/or kappa_ext_alt_sigma
+        :param use_kappa_ext_alt: bool, if True samples kappa_ext with the kappa_ext_alt and/or kappa_ext_alt_sigma
         distribution
         :param anisotropy_sampling: bool, if True adds a global stellar anisotropy parameter that alters the single lens
         kinematic prediction
@@ -132,7 +132,7 @@ def __init__(
             sigma_v_systematics=sigma_v_systematics,
             kappa_ext_sampling=kappa_ext_sampling,
             kappa_ext_distribution=kappa_ext_distribution,
-            kappa_ext_alt=kappa_ext_alt,
+            use_kappa_ext_alt=use_kappa_ext_alt,
             anisotropy_sampling=anisotropy_sampling,
             anisotropy_model=anisotropy_model,
             anisotropy_distribution=anisotropy_distribution,

diff --git a/hierarc/Sampling/ParamManager/lens_param.py b/hierarc/Sampling/ParamManager/lens_param.py
@@ -16,7 +16,7 @@ def __init__(
         log_m2l_distribution="NONE",
         kappa_ext_sampling=False,
         kappa_ext_distribution="NONE",
-        kappa_ext_alt=False,
+        use_kappa_ext_alt=False,
         alpha_lambda_sampling=False,
         beta_lambda_sampling=False,
         alpha_gamma_in_sampling=False,
@@ -42,7 +42,7 @@ def __init__(
             parameter
         :param kappa_ext_distribution: string, distribution function of the kappa_ext
             parameter
-        :param kappa_ext_alt: bool, if True samples kappa_ext with the kappa_ext_alt and/or kappa_ext_alt_sigma
+        :param use_kappa_ext_alt: bool, if True samples kappa_ext with the kappa_ext_alt and/or kappa_ext_alt_sigma
             distribution
         :param alpha_lambda_sampling: bool, if True samples a parameter alpha_lambda, which scales lambda_mst linearly
             according to a predefined quantity of the lens
@@ -63,7 +63,7 @@ def __init__(
         self._log_m2l_distribution = log_m2l_distribution
         self._kappa_ext_sampling = kappa_ext_sampling
         self._kappa_ext_distribution = kappa_ext_distribution
-        self._kappa_ext_alt = kappa_ext_alt
+        self._use_kappa_ext_alt = use_kappa_ext_alt
         self._alpha_lambda_sampling = alpha_lambda_sampling
         self._beta_lambda_sampling = beta_lambda_sampling
         self._alpha_gamma_in_sampling = alpha_gamma_in_sampling
@@ -153,7 +153,7 @@ def param_list(self, latex_style=False):
                         list.append(r"$\sigma(\kappa_{\rm ext})$")
                     else:
                         list.append("kappa_ext_sigma")
-            if self._kappa_ext_alt is True:
+            if self._use_kappa_ext_alt is True:
                 if "kappa_ext_alt" not in self._kwargs_fixed:
                     if latex_style is True:
                         list.append(r"$\overline{\kappa}_{\rm ext, alt}$")
@@ -270,7 +270,7 @@ def args2kwargs(self, args, i=0):
                 else:
                     kwargs["kappa_ext_sigma"] = args[i]
                     i += 1
-            if self._kappa_ext_alt is True:
+            if self._use_kappa_ext_alt is True:
                 if "kappa_ext_alt" in self._kwargs_fixed:
                     kwargs["kappa_ext_alt"] = self._kwargs_fixed["kappa_ext_alt"]
                 else:
@@ -360,7 +360,7 @@ def kwargs2args(self, kwargs):
             if self._kappa_ext_distribution == "GAUSSIAN":
                 if "kappa_ext_sigma" not in self._kwargs_fixed:
                     args.append(kwargs["kappa_ext_sigma"])
-            if self._kappa_ext_alt is True:
+            if self._use_kappa_ext_alt is True:
                 if "kappa_ext_alt" not in self._kwargs_fixed:
                     args.append(kwargs["kappa_ext_alt"])
                 if self._kappa_ext_distribution == "GAUSSIAN":

diff --git a/hierarc/Sampling/ParamManager/param_manager.py b/hierarc/Sampling/ParamManager/param_manager.py
@@ -22,7 +22,7 @@ def __init__(
         log_m2l_distribution="NONE",
         kappa_ext_sampling=False,
         kappa_ext_distribution="NONE",
-        kappa_ext_alt=False,
+        use_kappa_ext_alt=False,
         lambda_ifu_sampling=False,
         lambda_ifu_distribution="NONE",
         alpha_lambda_sampling=False,
@@ -104,7 +104,7 @@ def __init__(
             log_m2l_distribution=log_m2l_distribution,
             kappa_ext_sampling=kappa_ext_sampling,
             kappa_ext_distribution=kappa_ext_distribution,
-            kappa_ext_alt=kappa_ext_alt,
+            use_kappa_ext_alt=use_kappa_ext_alt,
             alpha_lambda_sampling=alpha_lambda_sampling,
             beta_lambda_sampling=beta_lambda_sampling,
             alpha_gamma_in_sampling=alpha_gamma_in_sampling,