TABLE III.
Best fits | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
L0 | zL | Kc | Ko | C | zJ | Vhc | Vho | D | E | chisq | |
α | 1.7 e −6 | 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 | 9 | 0.51 | 115 | −18 | 14 | 8.5 | 15700 |
α+β4_c | 1.8 e −7 | 0.30 | 52 | 3.3 | 16 | 0.57 | 113 | −22 | 7.7 | 12.3 | 2298 |
α+β4_d | 1.2 e −8 | 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 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.