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TABLE III

Steady-state Parameters


Best fits
 L0 zL Kc Ko zJ Vhc Vho chisq 
α 1.7 e6 0.30 13 1.3 10 0.56 187 25 35 5.9 3018 
α+β4_a 3.7 e−8 0.30 44 1.9 23 0.55 110 −50 32 3.7 2157 
Alternative Fits            
α+β4_b 1.0 e−6 0.30 34 3.8 0.51 115 −18 14 8.5 15700 
α+β4_c 1.8 e7 0.30 52 3.3 16 0.57 113 −22 7.7 12.3 2298 
α+β4_d 1.2 e8 0.30 40 1.4 29 0.54 109 −68 43 2.5 2179 
α+β4_e 3.0 e−7 0.30 54 3.9 14 0.57 129 0 18 13 2625 
α+β4_f
 
1.6 e−9
 
0.30
 
37
 
0.8
 
46
 
0.52
 
109
 
100
 
72
 
1.3
 
2256
 

Best fits
 L0 zL Kc Ko zJ Vhc Vho chisq 
α 1.7 e6 0.30 13 1.3 10 0.56 187 25 35 5.9 3018 
α+β4_a 3.7 e−8 0.30 44 1.9 23 0.55 110 −50 32 3.7 2157 
Alternative Fits            
α+β4_b 1.0 e−6 0.30 34 3.8 0.51 115 −18 14 8.5 15700 
α+β4_c 1.8 e7 0.30 52 3.3 16 0.57 113 −22 7.7 12.3 2298 
α+β4_d 1.2 e8 0.30 40 1.4 29 0.54 109 −68 43 2.5 2179 
α+β4_e 3.0 e−7 0.30 54 3.9 14 0.57 129 0 18 13 2625 
α+β4_f
 
1.6 e−9
 
0.30
 
37
 
0.8
 
46
 
0.52
 
109
 
100
 
72
 
1.3
 
2256
 

Bold numbers indicate parameter values that were fixed during the fitting. chisq indicates Chi-square value, and was calculated based on the

\({{\sum}_{\mathrm{i}}}(y{-}y_{\mathrm{i}}/{\sigma}_{\mathrm{i}})^{2},\)
where y was a fitted value for a given point, yi is the measured data value for the point, and σi is an estimate of the standard deviation for yi.

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