diff --git a/src/eigenvalue.cpp b/src/eigenvalue.cpp
index a2120a006d5..8412cbd3b47 100644
--- a/src/eigenvalue.cpp
+++ b/src/eigenvalue.cpp
@@ -403,6 +403,16 @@ void calculate_average_keff()
         t_value *
         std::sqrt(
           (simulation::k_sum[1] / n - std::pow(simulation::keff, 2)) / (n - 1));
+
+      // In some cases (such as an infinite medium problem), random ray
+      // may estimate k exactly and in an unvarying manner between iterations.
+      // In this case, the floating point roundoff between the division and the
+      // power operations may cause an extremely small negative value to occur
+      // inside the sqrt operation, leading to NaN. If this occurs, we check for
+      // it and set the std dev to zero.
+      if (!std::isfinite(simulation::keff_std)) {
+        simulation::keff_std = 0.0;
+      }
     }
   }
 }
diff --git a/src/random_ray/flat_source_domain.cpp b/src/random_ray/flat_source_domain.cpp
index 1bf27e1eda1..324dcbe5e7e 100644
--- a/src/random_ray/flat_source_domain.cpp
+++ b/src/random_ray/flat_source_domain.cpp
@@ -124,7 +124,9 @@ void FlatSourceDomain::update_single_neutron_source(SourceRegionHandle& srh)
         double chi = chi_[material * negroups_ + g_out];
 
         scatter_source += sigma_s * scalar_flux;
-        fission_source += nu_sigma_f * scalar_flux * chi;
+        if (settings::create_fission_neutrons) {
+          fission_source += nu_sigma_f * scalar_flux * chi;
+        }
       }
       srh.source(g_out) =
         (scatter_source + fission_source * inverse_k_eff) / sigma_t;
@@ -351,6 +353,27 @@ void FlatSourceDomain::compute_k_eff()
 
   double k_eff_new = k_eff_ * (fission_rate_new / fission_rate_old);
 
+  // Normalize fluxes by total number of fission neutrons produced. This ensures
+  // consistent scaling of the eigenvector such that its magnitude is
+  // comparable to the eigenvector produced by the Monte Carlo solver.
+  // Multiplying by the eigenvalue is unintuitive, but it is necessary.
+  // If the eigenvalue is 1.2, per starting source neutron, you will
+  // generate 1.2 neutrons. Thus if we normalize to generating only ONE neutron
+  // in total for the whole domain, then we don't actually have enough flux to
+  // generate the required 1.2 neutrons. We only know the flux required to
+  // generate 1 neutron (which would have required less than one starting
+  // neutron). Thus, you have to scale the flux up by the eigenvalue such
+  // that 1.2 neutrons are generated, so as to be consistent with the
+  // bookkeeping in MC which is all done per starting source neutron (not per
+  // neutron produced).
+  double total_fission_neutrons = fission_rate_new * simulation_volume_;
+  double norm_factor = k_eff_new / total_fission_neutrons;
+
+#pragma omp parallel for
+  for (int64_t se = 0; se < n_source_elements(); se++) {
+    source_regions_.scalar_flux_new(se) *= norm_factor;
+  }
+
   double H = 0.0;
   // defining an inverse sum for better performance
   double inverse_sum = 1 / fission_rate_new;
diff --git a/src/random_ray/linear_source_domain.cpp b/src/random_ray/linear_source_domain.cpp
index e1ad68e3d87..47ffbb727b7 100644
--- a/src/random_ray/linear_source_domain.cpp
+++ b/src/random_ray/linear_source_domain.cpp
@@ -68,9 +68,11 @@ void LinearSourceDomain::update_single_neutron_source(SourceRegionHandle& srh)
 
         // Compute source terms for flat and linear components of the flux
         scatter_flat += sigma_s * flux_flat;
-        fission_flat += nu_sigma_f * flux_flat * chi;
         scatter_linear += sigma_s * flux_linear;
-        fission_linear += nu_sigma_f * flux_linear * chi;
+        if (settings::create_fission_neutrons) {
+          fission_flat += nu_sigma_f * flux_flat * chi;
+          fission_linear += nu_sigma_f * flux_linear * chi;
+        }
       }
 
       // Compute the flat source term
diff --git a/tests/regression_tests/random_ray_adjoint_k_eff/results_true.dat b/tests/regression_tests/random_ray_adjoint_k_eff/results_true.dat
index 657c841b561..dfef53cd2f9 100644
--- a/tests/regression_tests/random_ray_adjoint_k_eff/results_true.dat
+++ b/tests/regression_tests/random_ray_adjoint_k_eff/results_true.dat
@@ -1,171 +1,171 @@
 k-combined:
 1.006640E+00 1.812969E-03
 tally 1:
-6.684129E+00
-8.939821E+00
-2.685967E+00
-1.443592E+00
+1.208044E+00
+2.920182E-01
+4.854426E-01
+4.715453E-02
 0.000000E+00
 0.000000E+00
-6.358774E+00
-8.091444E+00
-9.687217E-01
-1.878029E-01
+1.149242E+00
+2.643067E-01
+1.750801E-01
+6.134563E-03
 0.000000E+00
 0.000000E+00
-5.963160E+00
-7.117108E+00
-1.932332E-01
-7.473914E-03
+1.077743E+00
+2.324814E-01
+3.492371E-02
+2.441363E-04
 0.000000E+00
 0.000000E+00
-5.137593E+00
-5.283310E+00
-1.714616E-01
-5.884834E-03
-1.086218E-06
-2.361752E-13
-4.857253E+00
-4.719856E+00
-5.689580E-02
-6.476286E-04
-2.989356E-03
-1.787808E-06
-4.830516E+00
-4.666801E+00
-7.203015E-03
-1.037676E-05
-3.620020E+00
-2.620927E+00
-5.161382E+00
-5.328124E+00
-6.786255E-02
-9.210763E-04
-5.531943E+00
-6.120553E+00
-5.414034E+00
-5.864661E+00
+9.285362E-01
+1.725808E-01
+3.098889E-02
+1.922297E-04
+1.963161E-07
+7.714727E-15
+8.778641E-01
+1.541719E-01
+1.028293E-02
+2.115448E-05
+5.402741E-04
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+1.226491E-02
+3.008584E-05
+9.997969E-01
+1.999204E-01
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+1.915688E-01
 0.000000E+00
 0.000000E+00
 0.000000E+00
 0.000000E+00
-5.632338E+00
-6.347626E+00
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+2.073461E-01
 0.000000E+00
 0.000000E+00
 0.000000E+00
 0.000000E+00
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 0.000000E+00
 0.000000E+00
 0.000000E+00
 0.000000E+00
-5.310716E+00
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 0.000000E+00
 0.000000E+00
 0.000000E+00
 0.000000E+00
-4.945409E+00
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 0.000000E+00
 0.000000E+00
 0.000000E+00
 0.000000E+00
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 0.000000E+00
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 0.000000E+00
 0.000000E+00
 0.000000E+00
 0.000000E+00
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-1.608212E+00
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 0.000000E+00
 0.000000E+00
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-1.015138E+00
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 0.000000E+00
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-7.948424E-03
+1.093555E+00
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 0.000000E+00
 0.000000E+00
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-1.732323E-01
-6.006619E-03
-1.097435E-06
-2.410627E-13
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-8.964322E+00
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 0.000000E+00
 0.000000E+00
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 0.000000E+00
 0.000000E+00
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 0.000000E+00
 0.000000E+00
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-5.268844E+00
-1.749233E-01
-6.123348E-03
-1.108148E-06
-2.457474E-13
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-4.720019E+00
-5.816659E-02
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-3.056125E-03
-1.868351E-06
-4.830629E+00
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-1.085264E-05
-3.702077E+00
-2.741125E+00
-5.164864E+00
-5.335279E+00
-6.947917E-02
-9.655086E-04
-5.663725E+00
-6.415806E+00
+9.272977E-01
+1.721077E-01
+3.161443E-02
+2.000179E-04
+2.002789E-07
+8.027290E-15
+8.778794E-01
+1.541769E-01
+1.051257E-02
+2.210729E-05
+5.523400E-04
+6.102818E-08
+8.730477E-01
+1.524429E-01
+1.331320E-03
+3.544869E-07
+6.690816E-01
+8.953516E-02
+9.334544E-01
+1.742707E-01
+1.255707E-02
+3.153710E-05
+1.023613E+00
+2.095641E-01
diff --git a/tests/regression_tests/random_ray_auto_convert/material_wise/results_true.dat b/tests/regression_tests/random_ray_auto_convert/material_wise/results_true.dat
index d544a27df64..e0f37c9dcf7 100644
--- a/tests/regression_tests/random_ray_auto_convert/material_wise/results_true.dat
+++ b/tests/regression_tests/random_ray_auto_convert/material_wise/results_true.dat
@@ -1,2 +1,2 @@
 k-combined:
-7.356667E-01 6.637270E-03
+7.356667E-01 6.637266E-03
diff --git a/tests/regression_tests/random_ray_auto_convert/stochastic_slab/results_true.dat b/tests/regression_tests/random_ray_auto_convert/stochastic_slab/results_true.dat
index 75a10a22477..56ce009acbc 100644
--- a/tests/regression_tests/random_ray_auto_convert/stochastic_slab/results_true.dat
+++ b/tests/regression_tests/random_ray_auto_convert/stochastic_slab/results_true.dat
@@ -1,2 +1,2 @@
 k-combined:
-7.551716E-01 8.117378E-03
+7.551716E-01 8.117379E-03
diff --git a/tests/regression_tests/random_ray_diagonal_stabilization/results_true.dat b/tests/regression_tests/random_ray_diagonal_stabilization/results_true.dat
index f27ad46b467..59051cb9d4b 100644
--- a/tests/regression_tests/random_ray_diagonal_stabilization/results_true.dat
+++ b/tests/regression_tests/random_ray_diagonal_stabilization/results_true.dat
@@ -1,2 +1,2 @@
 k-combined:
-7.201808E-01 1.506596E-02
+7.201807E-01 1.506630E-02
diff --git a/tests/regression_tests/random_ray_halton_samples/results_true.dat b/tests/regression_tests/random_ray_halton_samples/results_true.dat
index b62398935b0..256f8a744a3 100644
--- a/tests/regression_tests/random_ray_halton_samples/results_true.dat
+++ b/tests/regression_tests/random_ray_halton_samples/results_true.dat
@@ -1,171 +1,171 @@
 k-combined:
 8.388051E-01 7.383265E-03
 tally 1:
-5.033308E+00
-5.072162E+00
-1.917335E+00
-7.360725E-01
-4.666410E+00
-4.360038E+00
-2.851812E+00
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-4.365590E-01
-3.818884E-02
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-5.829333E-01
-5.639912E-02
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-1.372642E-01
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-1.486269E-03
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-8.803955E-03
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-8.006311E-02
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diff --git a/tests/regression_tests/random_ray_k_eff/results_true.dat b/tests/regression_tests/random_ray_k_eff/results_true.dat
index 37eca77f3cf..ace18df8cce 100644
--- a/tests/regression_tests/random_ray_k_eff/results_true.dat
+++ b/tests/regression_tests/random_ray_k_eff/results_true.dat
@@ -1,171 +1,171 @@
 k-combined:
-8.400321E-01 8.023358E-03
+8.400321E-01 8.023357E-03
 tally 1:
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diff --git a/tests/regression_tests/random_ray_k_eff_mesh/results_true.dat b/tests/regression_tests/random_ray_k_eff_mesh/results_true.dat
index 83209044ba7..7d8280cb9e3 100644
--- a/tests/regression_tests/random_ray_k_eff_mesh/results_true.dat
+++ b/tests/regression_tests/random_ray_k_eff_mesh/results_true.dat
@@ -1,171 +1,171 @@
 k-combined:
-8.379203E-01 8.057199E-03
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 tally 1:
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diff --git a/tests/regression_tests/random_ray_linear/linear/results_true.dat b/tests/regression_tests/random_ray_linear/linear/results_true.dat
index 4c0e14370e3..eafa7833e38 100644
--- a/tests/regression_tests/random_ray_linear/linear/results_true.dat
+++ b/tests/regression_tests/random_ray_linear/linear/results_true.dat
@@ -1,171 +1,171 @@
 k-combined:
-1.095967E+00 1.543581E-02
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 tally 1:
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diff --git a/tests/regression_tests/random_ray_linear/linear_xy/results_true.dat b/tests/regression_tests/random_ray_linear/linear_xy/results_true.dat
index abfd03c0678..b2842d4739e 100644
--- a/tests/regression_tests/random_ray_linear/linear_xy/results_true.dat
+++ b/tests/regression_tests/random_ray_linear/linear_xy/results_true.dat
@@ -1,171 +1,171 @@
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