diff --git a/benchmarks/benchmarks.cpp b/benchmarks/benchmarks.cpp
index 2db8e31..0022b74 100644
--- a/benchmarks/benchmarks.cpp
+++ b/benchmarks/benchmarks.cpp
@@ -4,6 +4,23 @@
 #include <nuTens/propagator/propagator.hpp>
 #include <nuTens/tensors/tensor.hpp>
 
+// The random seed to use for the RNG
+// want this to be fixed for reproducibility
+int randSeed = 123;
+
+// set the PMNS parameters to use
+// Will very likely change the benchmark so that energies are fixed
+// and these get randomised but for now just set them here
+float m1 = 0.1;
+float m2 = 0.2;
+float m3 = 0.3;
+
+float th12 = 0.12;
+float th23 = 0.23;
+float th13 = 0.13;
+
+float dcp = 0.5;
+
 Tensor buildPMNS(const Tensor &theta12, const Tensor &theta13, const Tensor &theta23, const Tensor &deltaCP)
 {
     // set up the three matrices to build the PMNS matrix
@@ -40,7 +57,7 @@ Tensor buildPMNS(const Tensor &theta12, const Tensor &theta13, const Tensor &the
     return PMNS;
 }
 
-static void batchedOscProbs(const Propagator &prop, int batchSize, int nBatches)
+static void batchedOscProbs(const Propagator &prop, long batchSize, long nBatches)
 {
     for (int _ = 0; _ < nBatches; _++)
     {
@@ -59,12 +76,12 @@ static void BM_vacuumOscillations(benchmark::State &state)
 {
 
     // set up the inputs
-    Tensor masses = Tensor({0.1, 0.2, 0.3}, NTdtypes::kFloat).requiresGrad(false).addBatchDim();
+    Tensor masses = Tensor({m1, m2, m3}, NTdtypes::kFloat).requiresGrad(false).addBatchDim();
 
-    Tensor theta23 = Tensor({0.23}).dType(NTdtypes::kComplexFloat).requiresGrad(false);
-    Tensor theta13 = Tensor({0.13}).dType(NTdtypes::kComplexFloat).requiresGrad(false);
-    Tensor theta12 = Tensor({0.12}).dType(NTdtypes::kComplexFloat).requiresGrad(false);
-    Tensor deltaCP = Tensor({0.5}).dType(NTdtypes::kComplexFloat).requiresGrad(false);
+    Tensor theta23 = Tensor({th23}).dType(NTdtypes::kComplexFloat).requiresGrad(false);
+    Tensor theta13 = Tensor({th13}).dType(NTdtypes::kComplexFloat).requiresGrad(false);
+    Tensor theta12 = Tensor({th12}).dType(NTdtypes::kComplexFloat).requiresGrad(false);
+    Tensor deltaCP = Tensor({dcp}).dType(NTdtypes::kComplexFloat).requiresGrad(false);
 
     Tensor PMNS = buildPMNS(theta12, theta13, theta23, deltaCP);
 
@@ -74,7 +91,7 @@ static void BM_vacuumOscillations(benchmark::State &state)
     vacuumProp.setMasses(masses);
 
     // seed the random number generator for the energies
-    std::srand(123);
+    std::srand(randSeed);
 
     for (auto _ : state)
     {
@@ -104,8 +121,10 @@ static void BM_constMatterOscillations(benchmark::State &state)
     matterProp.setMatterSolver(matterSolver);
 
     // seed the random number generator for the energies
-    std::srand(123);
+    std::srand(randSeed);
 
+    // linter gets angry about this as _ is never used :)))
+    // NOLINT
     for (auto _ : state)
     {
         // This code gets timed