diff --git a/PWGHF/Core/HfMlResponseDstarToD0Pi.h b/PWGHF/Core/HfMlResponseDstarToD0Pi.h
index af0351b2a73..c7e43065495 100644
--- a/PWGHF/Core/HfMlResponseDstarToD0Pi.h
+++ b/PWGHF/Core/HfMlResponseDstarToD0Pi.h
@@ -221,28 +221,6 @@ class HfMlResponseDstarToD0Pi : public HfMlResponse<TypeOutputScore>
     return inputFeatures;
   }
 
-  /// Method to get the input features used for D0 in HF triggers
-  /// \param candidate is the D* candidate
-  /// \return inputFeatures vector
-  template <typename T1>
-  std::vector<float> getInputFeaturesTrigger(T1 const& candidate)
-  {
-    std::vector<float> inputFeatures;
-
-    for (const auto& idx : MlResponse<TypeOutputScore>::mCachedIndices) {
-      switch (idx) {
-        CHECK_AND_FILL_VEC_DSTAR(ptProng0);
-        CHECK_AND_FILL_VEC_DSTAR_GETTER(impactParameterXY0, impactParameter0);
-        CHECK_AND_FILL_VEC_DSTAR(impactParameterZ0);
-        CHECK_AND_FILL_VEC_DSTAR(ptProng1);
-        CHECK_AND_FILL_VEC_DSTAR_GETTER(impactParameterXY1, impactParameter1);
-        CHECK_AND_FILL_VEC_DSTAR(impactParameterZ1);
-      }
-    }
-
-    return inputFeatures;
-  }
-
  protected:
   /// Method to fill the map of available input features
   void setAvailableInputFeatures()
diff --git a/PWGHF/DataModel/CandidateReconstructionTables.h b/PWGHF/DataModel/CandidateReconstructionTables.h
index c24c9badbc3..37c96d5627a 100644
--- a/PWGHF/DataModel/CandidateReconstructionTables.h
+++ b/PWGHF/DataModel/CandidateReconstructionTables.h
@@ -982,8 +982,6 @@ enum DecayType { DplusToPiKPi = 0,
                  XicToPKPi,
                  N3ProngDecays }; // always keep N3ProngDecays at the end
 
-static constexpr int DstarToPiKPiBkg = DecayType::N3ProngDecays;
-
 // Ds± → K± K∓ π± or D± → K± K∓ π±
 
 enum DecayChannelDToKKPi {
diff --git a/PWGHF/TableProducer/candidateSelectorDstarToD0Pi.cxx b/PWGHF/TableProducer/candidateSelectorDstarToD0Pi.cxx
index bd3cb47b28f..c0c02b6eed6 100644
--- a/PWGHF/TableProducer/candidateSelectorDstarToD0Pi.cxx
+++ b/PWGHF/TableProducer/candidateSelectorDstarToD0Pi.cxx
@@ -97,38 +97,23 @@ struct HfCandidateSelectorDstarToD0Pi {
   Configurable<LabeledArray<double>> cutsMl{"cutsMl", {hf_cuts_ml::Cuts[0], hf_cuts_ml::NBinsPt, hf_cuts_ml::NCutScores, hf_cuts_ml::labelsPt, hf_cuts_ml::labelsCutScore}, "ML selections per pT bin"};
   Configurable<int> nClassesMl{"nClassesMl", static_cast<int>(hf_cuts_ml::NCutScores), "Number of classes in ML model"};
   Configurable<std::vector<std::string>> namesInputFeatures{"namesInputFeatures", std::vector<std::string>{"feature1", "feature2"}, "Names of ML model input features"};
-  // ML inference D0
-  Configurable<bool> applyMlD0Daug{"applyMlD0Daug", false, "Flag to apply ML selections on D0 daughter"};
-  Configurable<std::vector<double>> binsPtMlD0Daug{"binsPtMlD0Daug", std::vector<double>{hf_cuts_ml::vecBinsPt}, "pT bin limits for ML application on D0 daughter"};
-  Configurable<std::vector<int>> cutDirMlD0Daug{"cutDirMlD0Daug", std::vector<int>{hf_cuts_ml::vecCutDir}, "Whether to reject score values greater or smaller than the threshold on D0 daughter"};
-  Configurable<LabeledArray<double>> cutsMlD0Daug{"cutsMlD0Daug", {hf_cuts_ml::Cuts[0], hf_cuts_ml::NBinsPt, hf_cuts_ml::NCutScores, hf_cuts_ml::labelsPt, hf_cuts_ml::labelsCutScore}, "ML selections per pT bin on D0 daughter"};
-  Configurable<int> nClassesMlD0Daug{"nClassesMlD0Daug", static_cast<int>(hf_cuts_ml::NCutScores), "Number of classes in ML model on D0 daughter"};
-  Configurable<std::vector<std::string>> namesInputFeaturesD0Daug{"namesInputFeaturesD0Daug", std::vector<std::string>{"feature1", "feature2"}, "Names of ML model input features on D0 daughter"};
 
   // CCDB configuration
   Configurable<std::string> ccdbUrl{"ccdbUrl", "http://alice-ccdb.cern.ch", "url of the ccdb repository"};
   Configurable<std::vector<std::string>> modelPathsCCDB{"modelPathsCCDB", std::vector<std::string>{""}, "Paths of models on CCDB"};
-  Configurable<std::vector<std::string>> modelPathsCCDBD0Daug{"modelPathsCCDBD0Daug", std::vector<std::string>{""}, "Paths of models on CCDB for D0 daughter"};
   Configurable<std::vector<std::string>> onnxFileNames{"onnxFileNames", std::vector<std::string>{"Model.onnx"}, "ONNX file names for each pT bin (if not from CCDB full path)"};
-  Configurable<std::vector<std::string>> onnxFileNamesD0Daug{"onnxFileNamesD0Daug", std::vector<std::string>{"Model.onnx"}, "ONNX file names for each pT bin (if not from CCDB full path) for D0 daughter"};
   Configurable<int64_t> timestampCCDB{"timestampCCDB", -1, "timestamp of the ONNX file for ML model used to query in CCDB"};
   Configurable<bool> loadModelsFromCCDB{"loadModelsFromCCDB", false, "Flag to enable or disable the loading of models from CCDB"};
 
-  // PDG mass for kaon, pion and D0
-  double massD0, massPi, massK;
-
   HfHelper hfHelper;
   o2::analysis::HfMlResponseDstarToD0Pi<float> hfMlResponse;
-  o2::analysis::HfMlResponseDstarToD0Pi<float> hfMlResponseD0Daughter;
   std::vector<float> outputMlDstarToD0Pi = {};
-  std::vector<float> outputMlD0ToKPi = {};
   o2::ccdb::CcdbApi ccdbApi;
 
   TrackSelectorPi selectorPion;
   TrackSelectorKa selectorKaon;
 
   using TracksSel = soa::Join<aod::TracksWDcaExtra, aod::TracksPidPi, aod::PidTpcTofFullPi, aod::TracksPidKa, aod::PidTpcTofFullKa>;
-  // using TracksSel = soa::Join<aod::Tracks, aod::TracksPidPi, aod::TracksPidKa>;
   using HfFullDstarCandidate = soa::Join<aod::HfD0FromDstar, aod::HfCandDstarsWPid>;
 
   AxisSpec axisBdtScore{100, 0.f, 1.f};
@@ -139,9 +124,6 @@ struct HfCandidateSelectorDstarToD0Pi {
 
   void init(InitContext&)
   {
-    massPi = MassPiPlus;
-    massK = MassKPlus;
-    massD0 = MassD0;
 
     selectorPion.setRangePtTpc(ptPidTpcMin, ptPidTpcMax);
     selectorPion.setRangeNSigmaTpc(-nSigmaTpcMax, nSigmaTpcMax);
@@ -183,18 +165,6 @@ struct HfCandidateSelectorDstarToD0Pi {
       hfMlResponse.cacheInputFeaturesIndices(namesInputFeatures);
       hfMlResponse.init();
     }
-
-    if (applyMlD0Daug) {
-      hfMlResponseD0Daughter.configure(binsPtMlD0Daug, cutsMlD0Daug, cutDirMlD0Daug, nClassesMlD0Daug);
-      if (loadModelsFromCCDB) {
-        ccdbApi.init(ccdbUrl);
-        hfMlResponseD0Daughter.setModelPathsCCDB(onnxFileNamesD0Daug, ccdbApi, modelPathsCCDBD0Daug, timestampCCDB);
-      } else {
-        hfMlResponseD0Daughter.setModelPathsLocal(onnxFileNamesD0Daug);
-      }
-      hfMlResponseD0Daughter.cacheInputFeaturesIndices(namesInputFeaturesD0Daug);
-      hfMlResponseD0Daughter.init();
-    }
   }
 
   /// Conjugate-independent topological cuts on D0
@@ -258,14 +228,6 @@ struct HfCandidateSelectorDstarToD0Pi {
       return false;
     }
 
-    if (applyMlD0Daug) {
-      outputMlD0ToKPi.clear();
-      std::vector<float> inputFeaturesD0 = hfMlResponseD0Daughter.getInputFeaturesTrigger(candidate);
-      bool isSelectedMlD0 = hfMlResponseD0Daughter.isSelectedMl(inputFeaturesD0, candpT, outputMlD0ToKPi);
-      if (!isSelectedMlD0) {
-        return false;
-      }
-    }
     return true;
   }
 
@@ -323,10 +285,10 @@ struct HfCandidateSelectorDstarToD0Pi {
     if (prongSoftPi.sign() > 0.) { // Selection of D*+
       mInvDstar = candidate.invMassDstar();
       mInvD0 = candidate.invMassD0();
-      if (std::abs(mInvD0 - massD0) > cutsD0->get(binPt, "m")) {
+      if (std::abs(mInvD0 - MassD0) > cutsD0->get(binPt, "m")) {
         return false;
       }
-      if (useTriggerMassCut && !isCandidateInMassRange(mInvD0, massD0, candidate.ptD0(), hfTriggerCuts)) {
+      if (useTriggerMassCut && !isCandidateInMassRange(mInvD0, MassD0, candidate.ptD0(), hfTriggerCuts)) {
         return false;
       }
       // cut on daughter pT
@@ -351,10 +313,10 @@ struct HfCandidateSelectorDstarToD0Pi {
     } else if (prongSoftPi.sign() < 0.) { // Selection of D*-
       mInvAntiDstar = candidate.invMassAntiDstar();
       mInvD0Bar = candidate.invMassD0Bar();
-      if (std::abs(mInvD0Bar - massD0) > cutsD0->get(binPt, "m")) {
+      if (std::abs(mInvD0Bar - MassD0) > cutsD0->get(binPt, "m")) {
         return false;
       }
-      if (useTriggerMassCut && !isCandidateInMassRange(mInvD0Bar, massD0, candidate.ptD0(), hfTriggerCuts)) {
+      if (useTriggerMassCut && !isCandidateInMassRange(mInvD0Bar, MassD0, candidate.ptD0(), hfTriggerCuts)) {
         return false;
       }
       // cut on daughter pT
@@ -379,11 +341,11 @@ struct HfCandidateSelectorDstarToD0Pi {
 
     // in case only sideband candidates have to be stored, additional invariant-mass cut
     if (keepOnlySidebandCandidates && prongSoftPi.sign() > 0.) {
-      if (std::abs((mInvDstar - mInvD0) - massPi) < distanceFromDeltaMassForSidebands) {
+      if (std::abs((mInvDstar - mInvD0) - MassPiPlus) < distanceFromDeltaMassForSidebands) {
         return false;
       }
     } else if (keepOnlySidebandCandidates && prongSoftPi.sign() < 0.) {
-      if (std::abs((mInvAntiDstar - mInvD0Bar) - massPi) < distanceFromDeltaMassForSidebands) {
+      if (std::abs((mInvAntiDstar - mInvD0Bar) - MassPiPlus) < distanceFromDeltaMassForSidebands) {
         return false;
       }
     }
@@ -499,7 +461,6 @@ struct HfCandidateSelectorDstarToD0Pi {
       if (applyMl) {
         // ML selections
         bool isSelectedMlDstar = false;
-
         std::vector<float> inputFeatures = hfMlResponse.getInputFeatures(candDstar);
         isSelectedMlDstar = hfMlResponse.isSelectedMl(inputFeatures, ptCand, outputMlDstarToD0Pi);