diff --git a/L1Trigger/L1TMuonOverlapPhase2/interface/LutNetworkFixedPointRegression2Outputs.h b/L1Trigger/L1TMuonOverlapPhase2/interface/LutNetworkFixedPointRegression2Outputs.h
index 2b8af4c021806..a205fd888066b 100644
--- a/L1Trigger/L1TMuonOverlapPhase2/interface/LutNetworkFixedPointRegression2Outputs.h
+++ b/L1Trigger/L1TMuonOverlapPhase2/interface/LutNetworkFixedPointRegression2Outputs.h
@@ -63,9 +63,9 @@ namespace lutNN {
         LutLayer1;
     LutLayer1 lutLayer1;
 
-    static const unsigned int noHitCntShift = layer1_output_I;  //FIXME should be layer1_output_I ???
+    static constexpr unsigned int noHitCntShift = layer1_output_I;  //FIXME should be layer1_output_I ???
 
-    static const int layer2_input_F = layer1_lut_F;
+    static constexpr int layer2_input_F = layer1_lut_F;
 
     typedef LutNeuronLayerFixedPoint<layer2_input_I,
                                      layer2_input_F,
@@ -77,7 +77,7 @@ namespace lutNN {
         LutLayer2;
     LutLayer2 lutLayer2;
 
-    static const int layer3_input_F = layer2_lut_F;
+    static constexpr int layer3_input_F = layer2_lut_F;
 
     typedef LutNeuronLayerFixedPoint<layer3_input_I,
                                      layer3_input_F,
diff --git a/L1Trigger/L1TMuonOverlapPhase2/interface/LutNeuronLayerFixedPoint.h b/L1Trigger/L1TMuonOverlapPhase2/interface/LutNeuronLayerFixedPoint.h
index 38e2e4a2fd55d..62cfcb70c3ae2 100644
--- a/L1Trigger/L1TMuonOverlapPhase2/interface/LutNeuronLayerFixedPoint.h
+++ b/L1Trigger/L1TMuonOverlapPhase2/interface/LutNeuronLayerFixedPoint.h
@@ -41,18 +41,18 @@ namespace lutNN {
   template <int input_I, int input_F, size_t inputSize, int lut_I, int lut_F, int neurons, int output_I>
   class LutNeuronLayerFixedPoint {
   public:
-    static const int input_W = input_I + input_F;
-    static const int lut_W = lut_I + lut_F;
+    static constexpr int input_W = input_I + input_F;
+    static constexpr int lut_W = lut_I + lut_F;
 
     //the lut out values sum
     //static const int lutOutSum_I = lut_I + ceil(log2(inputSize)); //MB: ceil(log2(inputSize)) is not constexpr which makes issue for code-checks
-    static const int lutOutSum_I = lut_I + ceillog2(inputSize);
-    static const int lutOutSum_W = lutOutSum_I + lut_F;
+    static constexpr int lutOutSum_I = lut_I + ceillog2(inputSize);
+    static constexpr int lutOutSum_W = lutOutSum_I + lut_F;
 
-    static const int output_W = output_I + lut_F;
+    static constexpr int output_W = output_I + lut_F;
 
     //static_assert( (1<<input_I) <= lutSize);
-    static const size_t lutSize = 1 << input_I;
+    static constexpr size_t lutSize = 1 << input_I;
 
     typedef std::array<ap_ufixed<input_W, input_I, AP_TRN, AP_SAT>, inputSize> inputArrayType;
 
diff --git a/L1Trigger/L1TMuonOverlapPhase2/src/PtAssignmentNNRegression.cc b/L1Trigger/L1TMuonOverlapPhase2/src/PtAssignmentNNRegression.cc
index 2cc74c4e51b18..ce3cdb6972343 100644
--- a/L1Trigger/L1TMuonOverlapPhase2/src/PtAssignmentNNRegression.cc
+++ b/L1Trigger/L1TMuonOverlapPhase2/src/PtAssignmentNNRegression.cc
@@ -21,35 +21,35 @@
 #include <fstream>
 
 namespace lutNN {
-  static const int input_I = 10;
-  static const int input_F = 4;
-  static const std::size_t networkInputSize = 18;
+  static constexpr int input_I = 10;
+  static constexpr int input_F = 4;
+  static constexpr std::size_t networkInputSize = 18;
 
-  static const int layer1_neurons = 16;
-  static const int layer1_lut_I = 3;
-  static const int layer1_lut_F = 13;
+  static constexpr int layer1_neurons = 16;
+  static constexpr int layer1_lut_I = 3;
+  static constexpr int layer1_lut_F = 13;
 
-  static const int layer1_output_I = 4;
+  static constexpr int layer1_output_I = 4;
   //4 bits are for the count of the noHit layers which goes to the input of the layer2
-  static const int layer2_input_I = 8;
+  static constexpr int layer2_input_I = 8;
 
-  static const int layer2_neurons = 9;
-  static const int layer2_lut_I = 5;
-  static const int layer2_lut_F = 11;
+  static constexpr int layer2_neurons = 9;
+  static constexpr int layer2_lut_I = 5;
+  static constexpr int layer2_lut_F = 11;
 
-  static const int layer3_input_I = 5;
+  static constexpr int layer3_input_I = 5;
 
-  static const int layer3_0_inputCnt = 8;
-  static const int layer3_0_lut_I = 5;
-  static const int layer3_0_lut_F = 11;
-  static const int output0_I = 8;
-  static const int output0_F = 2;
+  static constexpr int layer3_0_inputCnt = 8;
+  static constexpr int layer3_0_lut_I = 5;
+  static constexpr int layer3_0_lut_F = 11;
+  static constexpr int output0_I = 8;
+  static constexpr int output0_F = 2;
 
-  static const int layer3_1_inputCnt = 1;
-  static const int layer3_1_lut_I = 4;
-  static const int layer3_1_lut_F = 11;
-  static const int output1_I = 8;
-  static const int output1_F = 0;  //Does not matter in principle - it is not used
+  static constexpr int layer3_1_inputCnt = 1;
+  static constexpr int layer3_1_lut_I = 4;
+  static constexpr int layer3_1_lut_F = 11;
+  static constexpr int output1_I = 8;
+  static constexpr int output1_F = 0;  //Does not matter in principle - it is not used
 
   typedef LutNetworkFixedPointRegression2Outputs<input_I,
                                                  input_F,