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Table B.1.

Best-fit coefficients (a, b, c, d, e), to adopt for the function X F appr ( s , β , x cut ) $ X_{F}^{\mathrm{appr}}(s,{\beta},x_{\mathrm{cut}}) $, in order to approximate the function XF(s, β, xcut), for various choices of the parameters s and β. The last column gives the maximum deviation, in absolute value, of the approximation.

s β a b c d e Max.Dev.
1.9 1.0 6.02774 0.5619608 1.90225 0.3330766 0.99241 0.0024

1.9 1.5 7.11761 0.7251578 1.99772 0.4280908 0.95624 0.0062

1.9 2.0 4.70687 0.7723972 2.02137 0.4993386 1.19300 0.0079

2.0 1.0 5.01121 0.5586867 1.90537 0.3329990 1.01129 0.0019

2.0 1.5 6.03545 0.7317618 1.99846 0.4280685 0.95430 0.0072

2.0 2.0 4.42475 0.7957342 2.02102 0.4993466 1.13191 0.0083

2.1 1.0 4.23132 0.5548417 1.90750 0.3329464 1.03592 0.0016

2.1 1.5 5.17683 0.7359420 1.99879 0.4280585 0.95770 0.0069

2.1 2.0 4.27174 0.8200959 2.02095 0.4993476 1.06808 0.0060

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