Update double-photon dataset: add noise to all pixels

src/datasets.py

@@ -141,8 +141,6 @@ class doublePhotonDataset(Dataset):
         if self.noiseKeV != 0:
             print(f'Adding Gaussian noise with sigma = {self.noiseKeV} keV to samples in {self.datasetName} dataset')
             noise = np.random.normal(loc=0.0, scale=self.noiseKeV, size=self.samples.shape)
-            #### add noise only to pixels that not zero
-            noise[self.samples == 0] = 0
             self.samples = self.samples + noise
             if noiseThreshold != 0:
                 print(f'[{self.datasetName} dataset] \t Setting values below noise threshold ({noiseThreshold} keV) to zero')
@@ -167,7 +165,8 @@ class doublePhotonDataset(Dataset):
         self.y_grid = torch.tensor(np.expand_dims(y_grid, axis=0)).float().contiguous()  # (1, nSize, nSize)
 
     def __getitem__(self, index):
-        sample = np.zeros((self.nSize+2, self.nSize+2), dtype=np.float32)
+        # sample = np.zeros((self.nSize+2, self.nSize+2), dtype=np.float32)
+        sample = np.random.normal(loc=0.0, scale=self.noiseKeV, size=(self.nSize+2, self.nSize+2))  ### add noise to the whole sample
         idx1 = np.random.randint(0, self.samples.shape[0])
         idx2 = np.random.randint(0, self.samples.shape[0])
         photon1 = self.samples[idx1]