diff --git a/LDDsimulation/LDDsimulation.py b/LDDsimulation/LDDsimulation.py
index 455b2e72fbfb4756b598359be234f66c0efa5860..5fc63f215e689e09abdca69b462f30713504d78a 100644
--- a/LDDsimulation/LDDsimulation.py
+++ b/LDDsimulation/LDDsimulation.py
@@ -265,6 +265,7 @@ class LDDsimulation(object):
                 raise RuntimeError("include_gravity = True but no densities were given.")
         self._parameters_set = True
 
+
     def initialise(self) -> None:
         """ initialise LDD simulation
 
diff --git a/RR-2-patch-test-case/RR-2-patch-test.py b/RR-2-patch-test-case/RR-2-patch-test.py
index 343a5b0c4edfea1df528d1d9de1208da5797e364..de1cf3e37264903c74bc357fe672b0af6beed706 100755
--- a/RR-2-patch-test-case/RR-2-patch-test.py
+++ b/RR-2-patch-test-case/RR-2-patch-test.py
@@ -16,7 +16,7 @@ solver_tol = 1E-6
 ############ GRID #######################ü
 mesh_resolution = 40
 timestep_size = 0.01
-number_of_timesteps = 15
+number_of_timesteps = 150
 # decide how many timesteps you want analysed. Analysed means, that we write out
 # subsequent errors of the L-iteration within the timestep.
 number_of_timesteps_to_analyse = 10
@@ -25,9 +25,9 @@ starttime = 0
 Lw = 0.25 #/timestep_size
 Lnw=Lw
 
-l_param_w = 4
+lambda_w = 4
 
-include_gravity = False
+include_gravity = True
 debugflag = False
 analyse_condition = False
 
@@ -138,8 +138,8 @@ L = {#
 
 lambda_param = {#
 # subdom_num : lambda parameter for the L-scheme
-    1 : {'wetting': l_param_w},#
-    2 : {'wetting': l_param_w}
+    1 : {'wetting': lambda_w},#
+    2 : {'wetting': lambda_w}
 }
 
 ## relative permeabilty functions on subdomain 1
@@ -226,7 +226,7 @@ write_to_file = {
 }
 
 # initialise LDD simulation class
-simulation = ldd.LDDsimulation(tol = 1E-14, debug = False, LDDsolver_tol=1E-9)
+simulation = ldd.LDDsimulation(tol = 1E-14, debug = debugflag, LDDsolver_tol=solver_tol)
 simulation.set_parameters(use_case=use_case,
     output_dir = output_string,#
     subdomain_def_points = subdomain_def_points,#
@@ -255,7 +255,7 @@ simulation.set_parameters(use_case=use_case,
     )
 
 simulation.initialise()
-print(simulation.__dict__)
+#print(simulation.__dict__)
 simulation.run(analyse_condition=analyse_condition)
 # simulation.LDDsolver(time = 0, debug = True, analyse_timestep = True)
 # df.info(parameters, True)
diff --git a/TP-R-multi-patch-same-wetting-phase-as-RR-zero-nonwetting/TP-R-multi-patch-same-wetting-phase-as-RR-zero-nonwetting.py b/TP-R-multi-patch-same-wetting-phase-as-RR-zero-nonwetting/TP-R-multi-patch-same-wetting-phase-as-RR-zero-nonwetting.py
index a808b2831b31460b2eb2b80b83af2046a9cf6b3c..80bde1a1ae5c45779b0dc4dc01a896d779307016 100755
--- a/TP-R-multi-patch-same-wetting-phase-as-RR-zero-nonwetting/TP-R-multi-patch-same-wetting-phase-as-RR-zero-nonwetting.py
+++ b/TP-R-multi-patch-same-wetting-phase-as-RR-zero-nonwetting/TP-R-multi-patch-same-wetting-phase-as-RR-zero-nonwetting.py
@@ -17,7 +17,7 @@ use_case = "TP-R-multi-patch-zero-nonwetting-phase"
 solver_tol = 1E-6
 
 ############ GRID #######################ü
-mesh_resolution = 50
+mesh_resolution = 40
 timestep_size = 0.001
 number_of_timesteps = 1500
 # decide how many timesteps you want analysed. Analysed means, that we write out
@@ -25,7 +25,7 @@ number_of_timesteps = 1500
 number_of_timesteps_to_analyse = 10
 starttime = 0
 
-Lw = 0.25 #/timestep_size
+Lw = 0.5 #/timestep_size
 Lnw=Lw
 
 l_param_w = 40
diff --git a/TP-one-patch/TP-one-patch-purely-postive-pc.py b/TP-one-patch/TP-one-patch-purely-postive-pc.py
index 5638ef08f9064e249530647010ee086c653a363b..783c93b1d71c53749078fa44158b41baaad924dc 100755
--- a/TP-one-patch/TP-one-patch-purely-postive-pc.py
+++ b/TP-one-patch/TP-one-patch-purely-postive-pc.py
@@ -17,10 +17,10 @@ sym.init_printing()
 solver_tol = 1E-6
 
 ############ GRID #######################
-
-mesh_resolution = 40
-timestep_size = 0.001
-number_of_timesteps = 10
+use_case="TP-one-patch-purely-positive-pc"
+mesh_resolution = 30
+timestep_size = 0.0005
+number_of_timesteps = 2500
 # decide how many timesteps you want analysed. Analysed means, that we write out
 # subsequent errors of the L-iteration within the timestep.
 number_of_timesteps_to_analyse = 1