corrected layer order
This commit is contained in:
lars
+64
-22
@@ -36,7 +36,10 @@ class G4System(_G4System):
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df = ttree["Hits;1"].arrays(library="pd")
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return df
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def displayEvent(self, particleSpec, minEnergy_GeV, maxEnergy_GeV=-1, sensor_width=np.array([50])):
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def displayEvent(self, particleSpec, minEnergy_GeV, maxEnergy_GeV=-1, sensor_width=50):
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if not isinstance(sensor_width, np.ndarray):
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sensor_width = np.array([sensor_width])
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# for loop over all layers
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event = self.run_batch(1, particleSpec, minEnergy_GeV, maxEnergy_GeV)
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to_plot = []
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@@ -44,8 +47,9 @@ class G4System(_G4System):
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z0=0
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# loop over materials
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for layer_i, layer in enumerate(reversed(self.cw.getLayers())):
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layer_i = len(self.cw.getLayers()) - layer_i -1
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for layer_i, layer in enumerate(self.cw.getLayers()):
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#layer_i = len(self.cw.getLayers()) - layer_i -1
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print(layer_i)
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#
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# plot layers
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@@ -54,7 +58,8 @@ class G4System(_G4System):
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layer_hy = sensor_width / 2.
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layer_z = layer.thickness
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layer_material = layer.material
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print(layer_material)
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# add material to materials if it is not already in there
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if layer_material not in material_dict.keys():
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material_dict[layer_material] = {'name': layer_material,
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@@ -70,13 +75,14 @@ class G4System(_G4System):
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to_plot.append(go.Mesh3d(
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# 8 vertices of a cube
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x = np.array([-1, -1, 1, 1, -1, -1, 1, 1]) * layer_hx,
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y = np.array([-1, 1, 1, -1, -1, 1, 1, -1]) * layer_hy,
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z = np.array([0, 0, 0, 0, -layer_z, -layer_z, -layer_z, -layer_z]) + z0,
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z = np.array([-1, 1, 1, -1, -1, 1, 1, -1]) * layer_hy,
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y = np.array([0, 0, 0, 0, layer_z, layer_z, layer_z, layer_z]) + z0,
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**ijk_cube,
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**material_dict[layer_material]
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))
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z0 += layer_z
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#
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# sensors
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#
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@@ -84,6 +90,7 @@ class G4System(_G4System):
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# if there are sensors in the current layer, add them
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if layer_i in event['sensor_layer'].to_numpy():
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is_in_layer = event['sensor_layer'].to_numpy() == layer_i
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print(event['sensor_energy'].to_numpy()[is_in_layer].sum())
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z = event['sensor_dz'].to_numpy()[is_in_layer]
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n_sensors = len(z)
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z=z[0]
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@@ -95,8 +102,8 @@ class G4System(_G4System):
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to_plot.append(go.Mesh3d(
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# 8 vertices of a cube
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x = np.array([-1, -1, 1, 1, -1, -1, 1, 1]) * hwidth + x_center,
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y = np.array([-1, 1, 1, -1, -1, 1, 1, -1]) * hwidth + y_center,
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z = np.array([0, 0, 0, 0, z, z, z, z]) + z0,
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z = np.array([-1, 1, 1, -1, -1, 1, 1, -1]) * hwidth + y_center,
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y = np.array([0, 0, 0, 0, z, z, z, z]) + z0,
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**ijk_cube,
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flatshading=True,
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color='black',
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@@ -106,6 +113,10 @@ class G4System(_G4System):
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))
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z0 += z
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# add legend entry for sensors
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to_plot.append(go.Mesh3d(x=[None], y=[None], z=[None], i=[0], j=[0], k=[0],
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color='black', showlegend=True, name='Sensors'))
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@@ -113,6 +124,8 @@ class G4System(_G4System):
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# add black-white colorbar for sensor hits
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to_plot.append(go.Surface(
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z=[[0, 0], [0, 0]],
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x=[[0, 0], [0, 0]],
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y=[[0, 0], [0, 0]],
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colorscale=[[0, 'white'], [1, 'black']],
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showscale=True,
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cmin=0,
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@@ -126,21 +139,50 @@ class G4System(_G4System):
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),
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))
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#
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# add red arrow for incoming particle
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#
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to_plot.append(
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go.Scatter3d(
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x=[0, 0],
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y=[0, 0],
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z=[-10, -2],
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mode='lines+text',
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line=dict(color='red', width=3), # You can change the color and width of the arrow
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text=['Incoming ' + particleSpec],
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textposition='bottom center',
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hoverinfo='text',
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showlegend=False,
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))
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# Define the start and end points of the line
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start_point = [0, 0, - z0*0.1]
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end_point = [0, 0, - z0*0.25]
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# Create the line trace
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line_trace = go.Scatter3d(
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x=[start_point[0], end_point[0]],
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z=[start_point[1], end_point[1]],
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y=[start_point[2], end_point[2]],
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mode='lines',
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line=dict(color='red', width=5),
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name='Incoming ' + particleSpec + ' @{} GeV'.format(minEnergy_GeV),
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showlegend=True,
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)
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# Calculate the direction vector for the arrow
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direction_vector = [(end_point[0] - start_point[0]), (end_point[1] - start_point[1]), (end_point[2] - start_point[2])]
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# Create the arrowhead at the start point with the opposite direction
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arrowhead_trace = go.Cone(
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x=[start_point[0]],
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z=[start_point[1]],
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y=[start_point[2]],
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u=[-direction_vector[0]],
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w=[-direction_vector[1]],
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v=[-direction_vector[2]],
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sizemode='scaled',
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sizeref=0.8,
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showscale=False,
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colorscale='Reds',
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opacity=1.0,
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anchor='tail',
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)
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# Create the 3D scatter plot with both traces
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to_plot.append(line_trace)
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to_plot.append(arrowhead_trace)
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#
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# finally show plot
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@@ -168,8 +210,8 @@ def calculate_sensor_centers(X, square_size):
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for j in range(int(np.sqrt(X))):
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for i in range(int(np.sqrt(X))):
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x_center = -25 + (i + 0.5) * sensor_size
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y_center = -25 + (j + 0.5) * sensor_size
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x_center = -square_size/2 + (i + 0.5) * sensor_size
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y_center = -square_size/2 + (j + 0.5) * sensor_size
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centers.append((x_center[0], y_center[0]))
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return centers, hsensor_size[0]
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