Report of the fit

Fit summary

Description: Fit with the MAP22 parametrisation.
Minimiser: ceres
Random seed: 1234
Maximum values allowed for q_T / Q: 0.2
Parameterisation: MAP22g52
Initial parameters fluctuations: True
Explicit formula:

f_{\rm NP}(x,\zeta, b_T)= \exp(S_{\rm NP}(\zeta, b_T))\frac{g_1(x) \exp( - g_1(x) \frac{b_T^2}{4}) + \lambda^2 g_{1B}^2(x) ( 1 - g_{1B}(x) \frac{b_T^2}{4}) \exp( - g_{1B}(x) \frac{b_T^2}{4}) + \lambda_2^2 g_{1C}(x) exp( - g_{1C}(x) \frac{b_T^2}{4}) }{ g_1(x) + \lambda g_{1B}^2(x) + \lambda_2^2 g_{1C}(x) }S_{\rm NP} = \exp\left[ - g_2^2 \frac{b_T^2}{4} \log \big (\frac{\zeta}{Q_0^2}\big ) \right]g_{1,1B,1C}(x) = N_{1,1B,1C} \frac{x^{\sigma_{1,2,3}}(1-x)^{\alpha^2_{1,2,3}}}{\hat{x}^{\sigma_{1,2,3}}(1-\hat{x})^{\alpha^2_{1,2,3}}}Q_0^2 = 1\;{\rm GeV}^2\hat{x} = 0.1

t_0 prescription: False

Global statistical estimators

N_{\rm rep} = 250
\chi_{0}^2 = 1.2838
\langle\chi^2\rangle \pm \sigma_{\chi^2} = 1.3043 \pm 0.0122

Parameters

Fit properties

Table of \chi^2’s

TMDs in k_T space

Data-theory comparison