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Table 1: 
 Results of fit parameters for the second-degree 2D polynom from equation 2 and the corresponding χ² misfit values^a
Model K₀ K₁ K₂ K₃ K₄ K₅ χ²
1 0.2991 −1.2654 0.000341 0.2784 0.001217 −6.489e-07 0.8654
2 0.4665 −1.2684 0^b 0.2784 0.001220 −4.824e-07 0.8662
3 0.9250 −1.2705 −0.000961 0.2784 0.001223 0^b 0.8776
4 −0.0447 −1.0257 0^b 0.2762 0.000985 0^b 1.2019
5 −4.7284 0.0198 0.006848 0.2589 0^b −2.095e-06 7.1094
6 −2.7584 0.0213 0.002694 0.2585 0^b 0^b 7.238
7 0^b −1.2563 0.000933 0.2783 0.0012093 −9.321e-07 0.8680
8 0^b 0^b −0.002664 0.2215 0.0002801 2.1989e-06 6.1559
9 −3.8025 0^b 0.0052012 0.2253 0.0002560 −1.6892e-06 5.7006
10 0^b −1.0473 0^b 0.2786 0.0009856 0^b 1.2141

Note:—max indicates maximum, min, minimum.


↵a Model 10 is the simplest model (only 3 parameters) with close-to-best accuracy (χ² ≈ χ_min²): maximum positive error = 0.356 V, maximum negative error = −0.326 V.


↵b Values were purposely set to zero to simplify the 2D model and to test their relevance.

Model	K₀	K₁	K₂	K₃	K₄	K₅	χ²
1	0.2991	−1.2654	0.000341	0.2784	0.001217	−6.489e-07	0.8654
2	0.4665	−1.2684	0^b	0.2784	0.001220	−4.824e-07	0.8662
3	0.9250	−1.2705	−0.000961	0.2784	0.001223	0^b	0.8776
4	−0.0447	−1.0257	0^b	0.2762	0.000985	0^b	1.2019
5	−4.7284	0.0198	0.006848	0.2589	0^b	−2.095e-06	7.1094
6	−2.7584	0.0213	0.002694	0.2585	0^b	0^b	7.238
7	0^b	−1.2563	0.000933	0.2783	0.0012093	−9.321e-07	0.8680
8	0^b	0^b	−0.002664	0.2215	0.0002801	2.1989e-06	6.1559
9	−3.8025	0^b	0.0052012	0.2253	0.0002560	−1.6892e-06	5.7006
10	0^b	−1.0473	0^b	0.2786	0.0009856	0^b	1.2141