diff --git a/Framework/WorkflowAlgorithms/inc/MantidWorkflowAlgorithms/ConvolutionFitSequential.h b/Framework/WorkflowAlgorithms/inc/MantidWorkflowAlgorithms/ConvolutionFitSequential.h
index 22858f33571a57157b3905fe49ce6caed43d0916..efdbbf5ee7913659ea0bad1f86f63933ffbc67cc 100644
--- a/Framework/WorkflowAlgorithms/inc/MantidWorkflowAlgorithms/ConvolutionFitSequential.h
+++ b/Framework/WorkflowAlgorithms/inc/MantidWorkflowAlgorithms/ConvolutionFitSequential.h
@@ -53,8 +53,7 @@ private:
                                               const std::vector<std::string> &);
   std::vector<double> squareVector(std::vector<double>);
   std::vector<double> cloneVector(const std::vector<double> &);
-  void convertInputToElasticQ(API::MatrixWorkspace_sptr &,
-                                                   const std::string &);
+  void convertInputToElasticQ(API::MatrixWorkspace_sptr &, const std::string &);
   void calculateEISF(API::ITableWorkspace_sptr &);
   std::string convertBackToShort(const std::string &);
   std::string convertFuncToShort(const std::string &);
diff --git a/Framework/WorkflowAlgorithms/src/ConvolutionFitSequential.cpp b/Framework/WorkflowAlgorithms/src/ConvolutionFitSequential.cpp
index dc94ab1ede4acb59e4bc58ec85694f0f5e2fa5cc..e97de95b56dddee558a27632a83eddff8f40a886 100644
--- a/Framework/WorkflowAlgorithms/src/ConvolutionFitSequential.cpp
+++ b/Framework/WorkflowAlgorithms/src/ConvolutionFitSequential.cpp
@@ -456,7 +456,7 @@ void ConvolutionFitSequential::convertInputToElasticQ(
   auto axis = inputWs->getAxis(1);
   if (axis->isSpectra()) {
     auto convSpec = createChildAlgorithm("ConvertSpectrumAxis");
-    // remains in ADS for use in embedded algorithm call
+	// Store in ADS to allow use by PlotPeakByLogValue
     convSpec->setAlwaysStoreInADS(true);
     convSpec->setProperty("InputWorkSpace", inputWs);
     convSpec->setProperty("OutputWorkSpace", wsName);
@@ -469,7 +469,8 @@ void ConvolutionFitSequential::convertInputToElasticQ(
       throw std::runtime_error("Input must have axis values of Q");
     }
     auto cloneWs = createChildAlgorithm("CloneWorkspace");
-	cloneWs->setAlwaysStoreInADS(true);
+	// Store in ADS to allow use by PlotPeakByLogValue
+    cloneWs->setAlwaysStoreInADS(true);
     cloneWs->setProperty("InputWorkspace", inputWs);
     cloneWs->setProperty("OutputWorkspace", wsName);
     cloneWs->executeAsChildAlg();
diff --git a/Framework/WorkflowAlgorithms/test/ConvolutionFitSequentialTest.h b/Framework/WorkflowAlgorithms/test/ConvolutionFitSequentialTest.h
index 1982e99cc7773698352a132929b66045b8d62c1c..2629f0bc86de8c6acc0a90b89c4d22ca0aba74a6 100644
--- a/Framework/WorkflowAlgorithms/test/ConvolutionFitSequentialTest.h
+++ b/Framework/WorkflowAlgorithms/test/ConvolutionFitSequentialTest.h
@@ -146,7 +146,7 @@ public:
     alg.setProperty("Minimizer", "Levenberg-Marquardt");
     alg.setProperty("MaxIterations", 500);
     TS_ASSERT_THROWS_NOTHING(alg.execute());
-	TS_ASSERT(alg.isExecuted());
+    TS_ASSERT(alg.isExecuted());
 
     // Retrieve and analyse parameter table - Param table does not require
     // further testing as this is tested in the ProcessIndirectFitParameters
@@ -197,13 +197,13 @@ public:
     TS_ASSERT_EQUALS(memberLogs.at(6)->value(), "ReductionWs_");
     TS_ASSERT_EQUALS(memberLogs.at(7)->value(), "1");
 
-	AnalysisDataService::Instance().clear();
+    AnalysisDataService::Instance().clear();
   }
 
   void test_exec_with_sqw_file() {
     auto sqwWs = createGenericWorkspace("SqwWs_", true);
-	auto resWs = createGenericWorkspace("ResolutionWs_", false);
-	auto convFitRes = createGenericWorkspace("__ConvFit_Resolution", false);
+    auto resWs = createGenericWorkspace("ResolutionWs_", false);
+    auto convFitRes = createGenericWorkspace("__ConvFit_Resolution", false);
     Mantid::Algorithms::ConvolutionFitSequential alg;
     TS_ASSERT_THROWS_NOTHING(alg.initialize());
     alg.setProperty("InputWorkspace", sqwWs);
@@ -223,9 +223,9 @@ public:
     alg.setProperty("Minimizer", "Levenberg-Marquardt");
     alg.setProperty("MaxIterations", 500);
     TS_ASSERT_THROWS_NOTHING(alg.execute());
-	TS_ASSERT(alg.isExecuted());
+    TS_ASSERT(alg.isExecuted());
 
-	// Assert that output is in ADS
+    // Assert that output is in ADS
     TS_ASSERT_THROWS_NOTHING(
         AnalysisDataService::Instance().retrieveWS<ITableWorkspace>(
             "SqwWs_conv_1LFixF_s0_to_0_Parameters"));
@@ -238,7 +238,7 @@ public:
         AnalysisDataService::Instance().retrieveWS<WorkspaceGroup>(
             "SqwWs_conv_1LFixF_s0_to_0_Workspaces"));
 
-	AnalysisDataService::Instance().clear();
+    AnalysisDataService::Instance().clear();
   }
 
   //------------------------ Private Functions---------------------------
@@ -250,7 +250,8 @@ public:
     const auto yData = boost::assign::list_of(0)(1)(3)(1)(0)
                            .convert_to_container<Mantid::MantidVec>();
 
-    auto createWorkspace = AlgorithmManager::Instance().create("CreateWorkspace");
+    auto createWorkspace =
+        AlgorithmManager::Instance().create("CreateWorkspace");
     createWorkspace->initialize();
     if (numericAxis) {
       createWorkspace->setProperty("UnitX", "DeltaE");