use it in convolution

Device/Resolution/ConvolutionDetectorResolution.cpp

@@ -92,7 +92,7 @@ void ConvolutionDetectorResolution::apply1dConvolution(Datafield* df) const
     // Truncate negative values that can arise because of finite precision of Fourier Transform
     for (double& e : result)
         e = std::max(0.0, e);
-    // Populate intensity map with results
+
     df->setVector(result);
 }
 
@@ -124,17 +124,12 @@ void ConvolutionDetectorResolution::apply2dConvolution(Datafield* df) const
         }
         kernel[ix] = row_vector;
     }
+
     // Calculate convolution
     std::vector<std::vector<double>> result;
     Convolve().fftconvolve(df->values2D(), kernel, result);
 
-    // Populate intensity map with results
-    ASSERT(nx * ny == df->size());
-    for (size_t i = 0; i < df->size(); ++i) {
-        size_t i0 = df->frame().projectedIndex(i, 0);
-        size_t i1 = df->frame().projectedIndex(i, 1);
-        (*df)[i] = std::max(0.0, result[i0][i1]);
-    }
+    df->setVector2D(result);
 }
 
 double ConvolutionDetectorResolution::getIntegratedPDF1d(double x, double step) const