Merge pull request #252 from CEMeNT-PSAAP/dev

v0.11.1

examples/c5g7/3d/k-eigenvalue/input.py

@@ -296,10 +296,10 @@ def set_mat(mat):
 mcdc.tally.mesh_tally(scores=["flux"], x=x_grid, y=y_grid, z=z_grid, g=g_grid)
 
 # Setting
-mcdc.setting(N_particle=1e4, census_bank_buff=4)
+mcdc.setting(N_particle=1e3, census_bank_buff=4)
 
 mcdc.eigenmode(N_inactive=50, N_active=150, gyration_radius="all")
-mcdc.population_control("splitting-roulette-weight")
+mcdc.population_control()
 
 # Run
 mcdc.run()

examples/fixed_source/kobayashi3-TD/input_template.py

@@ -0,0 +1,85 @@
+import os
+import numpy as np
+import mcdc
+
+
+# =============================================================================
+# Set model
+# =============================================================================
+# Based on Kobayashi dog-leg benchmark problem
+# (PNE 2001, https://doi.org/10.1016/S0149-1970(01)00007-5)
+
+
+x_sect = X_SECT
+
+# Set materials
+m = mcdc.material(
+    capture=np.array([0.01 * x_sect]), scatter=np.array([[0.01 * x_sect]])
+)
+m_void = mcdc.material(
+    capture=np.array([5e-5 * x_sect]), scatter=np.array([[5e-5 * x_sect]])
+)
+
+# Set surfaces
+sx1 = mcdc.surface("plane-x", x=0.0, bc="reflective")
+sx2 = mcdc.surface("plane-x", x=10.0)
+sx3 = mcdc.surface("plane-x", x=30.0)
+sx4 = mcdc.surface("plane-x", x=40.0)
+sx5 = mcdc.surface("plane-x", x=60.0, bc="vacuum")
+sy1 = mcdc.surface("plane-y", y=0.0, bc="reflective")
+sy2 = mcdc.surface("plane-y", y=10.0)
+sy3 = mcdc.surface("plane-y", y=50.0)
+sy4 = mcdc.surface("plane-y", y=60.0)
+sy5 = mcdc.surface("plane-y", y=100.0, bc="vacuum")
+sz1 = mcdc.surface("plane-z", z=0.0, bc="reflective")
+sz2 = mcdc.surface("plane-z", z=10.0)
+sz3 = mcdc.surface("plane-z", z=30.0)
+sz4 = mcdc.surface("plane-z", z=40.0)
+sz5 = mcdc.surface("plane-z", z=60.0, bc="vacuum")
+
+# Set cells
+# Soruce
+mcdc.cell(+sx1 & -sx2 & +sy1 & -sy2 & +sz1 & -sz2, m)
+# Voids
+mcdc.cell(+sx1 & -sx2 & +sy2 & -sy3 & +sz1 & -sz2, m_void)
+mcdc.cell(+sx1 & -sx3 & +sy3 & -sy4 & +sz1 & -sz2, m_void)
+mcdc.cell(+sx3 & -sx4 & +sy3 & -sy4 & +sz1 & -sz3, m_void)
+mcdc.cell(+sx3 & -sx4 & +sy3 & -sy5 & +sz3 & -sz4, m_void)
+# Shield
+mcdc.cell(+sx1 & -sx3 & +sy1 & -sy5 & +sz2 & -sz5, m)
+mcdc.cell(+sx2 & -sx5 & +sy1 & -sy3 & +sz1 & -sz2, m)
+mcdc.cell(+sx3 & -sx5 & +sy1 & -sy3 & +sz2 & -sz5, m)
+mcdc.cell(+sx3 & -sx5 & +sy4 & -sy5 & +sz1 & -sz3, m)
+mcdc.cell(+sx4 & -sx5 & +sy4 & -sy5 & +sz3 & -sz5, m)
+mcdc.cell(+sx4 & -sx5 & +sy3 & -sy4 & +sz1 & -sz5, m)
+mcdc.cell(+sx3 & -sx4 & +sy3 & -sy5 & +sz4 & -sz5, m)
+mcdc.cell(+sx1 & -sx3 & +sy4 & -sy5 & +sz1 & -sz2, m)
+
+# =============================================================================
+# Set source
+# =============================================================================
+# The source pulses in t=[0,5]
+
+mcdc.source(
+    x=[0.0, 10.0], y=[0.0, 10.0], z=[0.0, 10.0], time=[0.0, 50.0], isotropic=True
+)
+
+# =============================================================================
+# Set tally, setting, and run mcdc
+# =============================================================================
+
+# Tally: z-integrated flux (X-Y section view)
+mcdc.tally.mesh_tally(
+    scores=["flux"],
+    x=np.linspace(0.0, 60.0, 61),
+    y=np.linspace(0.0, 100.0, 101),
+    z=np.linspace(0.0, 60.0, 61),
+    t=np.linspace(0.0, 200.0, TIME_SPLITS),
+)
+
+# Setting
+mcdc.setting(N_particle=PARTICLE_COUNT)
+# mcdc.implicit_capture()
+
+# Run
+mcdc.run()