Table 1.

Comparison between perturbation model (${\mathrm{P}}_{\text{MODEL}}$) or Eq. (7) and FMC perturbation for case #1. If a straight line from the active source to calculation points intersects the surrounding dummies, those dummies have effect on the P‐ value. This style is applicable for ${\hspace{0.17em}}^{125}\mathrm{I}$ and ${\hspace{0.17em}}^{192}\mathrm{I}\mathrm{r}$. The maximum differences between the P‐values under FMCWS (${\mathrm{P}}_{\text{FMCWS}}$) and (${\mathrm{P}}_{\text{MODEL}}$) for ${\hspace{0.17em}}^{192}\mathrm{I}\mathrm{r}$ and ${\hspace{0.17em}}^{125}\mathrm{I}$ are less than 0.2% and 0.6%, respectively. The MC statistic uncertainties are at most 2%.

CASE #1	Ir‐192		I‐125
Calculation Points	$P_{MODEL}=P_1\times P_2\times P_3\times P_4$	$P_{FMCWS}$	$P_{MODEL}=P_1\times P_2\times P_3\times {\mathrm{P}}_4$	$P_{FMCWS}$
(0, 2, 0)	$0.999\times 1\times 1\times 1=0.999\approx 1$	1	$0.997\times 1\times 0.998\times 0.997=0.992\approx 1$	0.995
(0, 1, 0)	$1\times 0.999\times 0.999\times 1=0.998\approx 1$	1	$0.999\times 1\times 1\times 0.999=0.998\approx 1$	0.997
(0, 1, 1)	$0.867\times 1\times 1\times 1=0.867$	0.867	$0.810\times 1\times 1\times 1=0.810$	0.809
$(0,1,-1)$	$1\times 1\times 0.866\times 1=0.866$	0.868	$1\times 0.999\times 0.999\times 0.809=0.807$	0.809
(0, 0.5, 0)	$1\times 1\times 1\times 1=1$	1	$1\times 0.999\times 0.999\times 0.999=0.997\approx 1$	0.999
$(0,-0.5,0)$	$1\times 1\times 1\times 1=1$	1	$0.998\times 0.999\times 0.998\times 0.999=0.994\approx 1$	0.998
$(0,-1,0)$	$1\times 1\times 1\times 1=1$	1	$0.999\times 0.999\times 0.999\times 0.999=0.996\approx 1$	0.999
$(0,-2,0)$	$1\times 1\times 1\times 1=1$	0.999	$0.999\times 0.999\times 0.998\times 0.999=0.995\approx 1$	0.997
(0, 0, 0.5)	$1\times 1\times 1\times 1=1$	1	$0.999\times 1\times 0.999\times 1=0.998\approx 1$	0.999
$(0,0,-0.5)$	$1\times 1\times 1\times 1=1$	1	$0.999\times 0.999\times 0.999\times 0.999=0.996\approx 1$	0.998
(0, 1, 1)	$1\times 0.867\times 1\times 1=0.867$	0.867	$0.999\times 0.809\times 0.999\times 0.999=0.807$	0.808
$(0,-1,-1)$	$1\times 1\times 0.868\times 1=0.868$	0.868	$0.999\times 0.999\times 0.808\times 0.999=0.806$	0.808