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References - Bogoliubov Laboratory of Theoretical Physics - JINR

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√<br />

δΔq8 x for Δq8 and γΔGx for ΔG. to provide the possibility <strong>of</strong> sign-changing scenarios<br />

for Δs and ΔG, respectively.<br />

We analyze the inclusive A1 and semi-inclusive Ah 1 asymmetries. We work in MS<br />

factorization scheme. We use here the latest NLO parameterization on fragmentation<br />

functions from Ref. [6]. Calculating F2 and F h 2 we use parameterization for R from [7]<br />

and the recent NLO parameterization on unpolarized PDFs from Ref. [8].<br />

For our analysis we collected all accessible in literature polarized DIS and SIDIS data.<br />

We include the inclusive proton, deuteron and neutron data by SMC, E143, E155, E154,<br />

COMPASS, HERMES, CLAS, The semi-inclusive data are collected by SMC, HERMES<br />

and COMPASS. We include also the latest COMPASS data from Ref [3]. In total we have<br />

232 points for the inclusive polarized DIS and 202 points for semi-inclusive polarized DIS.<br />

For 16 fit parameters χ2 0|inclusive = 188.4 andχ2 0|semi−inclusive = 194.8 for DIS and SIDIS<br />

data, while χ2 0 |total = 383.9 for the full set <strong>of</strong> data (434 points). Thus, one can conclude<br />

that the fit quality is quite good: χ2 0/D.O.F. � 0.84.<br />

The optimal values <strong>of</strong> our fit parameters are presented in Table 1. Certainly, the<br />

Table 1: Optimal values <strong>of</strong> the global fit parameters at the initial scale Q 2 0 =1GeV 2 .<br />

ΔΣ Δq3 Δq8<br />

α 1.0227 -0.6342 -0.7916<br />

β 3.3891 3.1418 = βΔq 3<br />

γ 0.0 (fixed) 23.9180 36.8400<br />

δ 0.0 (fixed) 0.0 (fixed) -13.7480<br />

η 0.3846 1.2660 0.6170<br />

ΔG Δū Δ ¯ d<br />

α 0.9040 -0.3506 0.2802<br />

β = βΔū 15.0 (fixed) = βΔū<br />

γ -5.6703 0.0 (fixed) 0.0 (fixed)<br />

δ 0.0000 (fixed) 0.0 (fixed) 0.0 (fixed)<br />

η -0.1828 0.0672 -0.0792<br />

construction <strong>of</strong> the best fit should be accompanied by the reliable method <strong>of</strong> uncertainties<br />

estimation. We choose the modified Hessian method [9], [10] which well works (as well<br />

as the Lagrange multipliers method – see [4] and references therein) even in the case <strong>of</strong><br />

deviation <strong>of</strong> χ 2 pr<strong>of</strong>ile from the quadratic parabola, and was successfully applied in a lot <strong>of</strong><br />

physical tasks. Besides, very important question arises about choice <strong>of</strong> Δχ 2 determining<br />

the uncertainty size. The standard choice is Δχ 2 = 1, just as we did before in Ref.<br />

[5]. However, the such choice <strong>of</strong> Δχ 2 can lead to underestimation <strong>of</strong> uncertainties. The<br />

alternative choice <strong>of</strong> Δχ 2 is based on the equation for the cumulative χ 2 distribution. In<br />

our case (16 parameters) the Δχ 2 value is equal to 18.065. We calculate the uncertainties<br />

for both Δχ 2 =1andΔχ 2 =18.065 options. The first moments <strong>of</strong> PDFs together with<br />

their uncertainties are presented in Table 2.<br />

Let us now discuss the obtained parameterization. First, one can see that the results<br />

on the first moments Δ1Σ ≡ ηΔΣ and Δ1G ≡ ηΔG are very close to the respective<br />

results (scenario with ΔG

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