diff --git a/demo/lbb-stability/Makefile b/demo/lbb-stability/Makefile
index 9a78350..f5f1d71 100644
--- a/demo/lbb-stability/Makefile
+++ b/demo/lbb-stability/Makefile
@@ -10,15 +10,14 @@ results-2d.json: lbb-stability.py
 results-3d.json: lbb-stability.py
 	@for element in mini taylor-hood crouzeix-raviart; do		\
 		for num_layers in 1 2 3; do 				\
-			for vdegree in 1 2 3 4; do 			\
+			for vdegree in 2 3 4; do 			\
 				python lbb-stability.py 		\
 					--dimension 3 			\
 					--element $$element 		\
-					--num-cells-min 4 		\
-					--num-cells-max 32 		\
-					--num-cells-step 2 		\
+					--log-num-cells-min 2 		\
+					--log-num-cells-max 8 		\
 					--num-layers $$num_layers	\
-					--vdegree $$vdegree 		\
+					--uvdegree $$vdegree 		\
 					--output $@ ; 			\
 			done						\
 		done							\
diff --git a/demo/lbb-stability/lbb-stability.py b/demo/lbb-stability/lbb-stability.py
index 2942dbe..a146a2a 100644
--- a/demo/lbb-stability/lbb-stability.py
+++ b/demo/lbb-stability/lbb-stability.py
@@ -43,7 +43,7 @@ def compute_inf_sup_constant(spaces, b, inner_products):
 
 
 def run(
-    *, dimension, num_cells, element, num_layers=None, vdegree=None, vdegree_delta=None
+    *, dimension, num_cells, element, num_layers=None, uvdegree=None, pvdegree=None
 ):
     mesh = firedrake.UnitSquareMesh(num_cells, num_cells, diagonal="crossed")
     h = mesh.cell_sizes.dat.data_ro[:].min()
@@ -62,8 +62,8 @@ def run(
         pressure_element = FiniteElement("DG", "triangle", 1)
 
     if dimension == 3:
-        cg_z = FiniteElement("CG", "interval", vdegree)
-        dg_z = FiniteElement("DG", "interval", vdegree - vdegree_delta)
+        cg_z = FiniteElement("CG", "interval", uvdegree)
+        dg_z = FiniteElement("DG", "interval", pvdegree)
         velocity_element = TensorProductElement(velocity_element, cg_z)
         pressure_element = TensorProductElement(pressure_element, dg_z)
         mesh = firedrake.ExtrudedMesh(mesh, num_layers)
@@ -92,28 +92,25 @@ def run(
 parser.add_argument("--dimension", type=int, choices=[2, 3])
 elements = ["taylor-hood", "crouzeix-raviart", "mini"]
 parser.add_argument("--element", choices=elements, default="taylor-hood")
-parser.add_argument("--num-cells-min", type=int, default=4)
-parser.add_argument("--num-cells-max", type=int, default=32)
-parser.add_argument("--num-cells-step", type=int, default=1)
+parser.add_argument("--log-num-cells-min", type=int, default=2)
+parser.add_argument("--log-num-cells-max", type=int, default=6)
 parser.add_argument("--num-layers", type=int, default=1)
-parser.add_argument("--vdegree", type=int, default=1)
-parser.add_argument("--vdegree-delta", type=int, default=1)
+parser.add_argument("--uvdegree", type=int, default=2)
 parser.add_argument("--output")
 args = parser.parse_args()
 
 stability_constants = []
-nmin, nmax, nstep = args.num_cells_min, args.num_cells_max, args.num_cells_step
-print(f"Element: {args.element}")
-print(f"#layers: {args.num_layers}")
-print(f"vdegree: {args.vdegree}")
-for num_cells in range(nmin, nmax + 1, nstep):
+PETSc.Sys.Print(f"Element: {args.element}")
+PETSc.Sys.Print(f"#layers: {args.num_layers}")
+PETSc.Sys.Print(f"uvdegree: {args.uvdegree}")
+for num_cells in 2 ** np.arange(args.log_num_cells_min, args.log_num_cells_max, 1):
     h, λ = run(
         dimension=args.dimension,
         num_cells=num_cells,
         element=args.element,
         num_layers=args.num_layers,
-        vdegree=args.vdegree,
-        vdegree_delta=args.vdegree_delta,
+        uvdegree=args.uvdegree,
+        pvdegree=args.uvdegree - 2,
     )
     stability_constants.append((h, λ))
     print(".", flush=True, end="")
@@ -129,7 +126,13 @@ def run(
     "results": stability_constants,
 }
 if args.dimension == 3:
-    result.update({"num_layers": args.num_layers, "vdegree": args.vdegree})
+    result.update(
+        {
+            "num_layers": args.num_layers,
+            "uvdegree": args.uvdegree,
+            "pvdegree": args.uvdegree - 2,
+        }
+    )
 data.append(result)
 with open(args.output, "w") as output_file:
     json.dump(data, output_file)