Comparison of analytical solution of spin-dependent DGLAP equations for g_{1}^{NS}(x,t) at small x by two methods

Comparison of analytical solution of spin-dependent DGLAP equations for g_1^{NS}(x, t) at small x by two methods

Abstract

Analytical solutions for the non-singlet polarized parton distribution are obtained by solving the DGLAP equation by two analytical methods: Lagrange’s Method and Method of Characteristics. The realtive merits of the two methods are discussed while comparing with HERMES data in the small region. We also calculate the partial spin fractions carried by small , non-singlet partons.
keywords: Deep inelastic scattering,Structure function, DGLAP equations.
PACS no.:12.38.-t;12.38.Bx;13.60.Hb;02.30.Jr

1 Introduction

1.1 Spin structure function

The scale dependence of spin-dependent structure functions are in general interpreted by DGLAP [1, 2, 3, 4] equations. A lot of work has gone in understanding the nature of these structure functions over the past decades. Computation of exact [5, 6, 7, 8] as well as approximate analytical solutions [9, 10, 11, 12, 13, 14, 15] of these equations are equally important as one find simpler insight into the structure of the nucleon at least in some definite range where the later is valid.
The aim of the present paper is exactly that, we will report a set of approximate analytical solutions of the LO DGLAP equation for the non-singlet polarized quark distribution . Based on the solution obtained by the Method of characteristics [16, 17] and the Lagrange’s method [18] we make a relative study of the two methods. While each method have been applied individually [12, 13, 14, 19, 20, 21, 22, 23, 24] earlier, the relative merit and demerit of the two has been reported only recently [25] for unpolarized structure function . The present work reports a similar analysis for the polarized case, as was reported in ref [15] briefly.
Our choice of studying is due to the reason of its simplicity: it evolves independently of singlet and gluon distribution and hence does not require solution of coupled DGLAP equation. The analytical solution of such coupled DGLAP equation invariably needs additional adhoc assumptions relating the two distributions not proved in QCD as noted in literature [13, 14, 22, 24]. In our work we will show that even at LO level, analytical solutions have several interesting features, which needs attention.
The paper is organised as follows, in Section 2, we give the formalism, in Section 3, we present the results and discussions and in section 4 the conclusions are given.

2 Formalism

2.1 Polarized Non-singlet DGLAP evolution equation

The non-singlet polarized DGLAP equation in LO is,

(1)

Here and is polarized splitting function. Introducing a variable and following the similar formalism as in ref [25] with two different levels of approximation for small , we can express Eq.(1) in two partial differential equations as,

(2)

and

(3)

Eq.(2) and Eq.(3) are obtained from the same evolution equation Eq.(1) with two different levels of approximations given below by Eq.(4) and Eq.(5) respectively. While Eq.(2) is based on the expansion given by,

(4)

Eq.(3) considers only the first term of the expansion series on the RHS of Eq.(5),

(5)

We solve these two equations using two powerful methods for solving PDE: Method of Characteristics [16, 17] and Lagrange’s Method [18] .
To that end we express the Eq.(2) and Eq.(3) as,

(6)

with the forms of , and being different for both the Eq.(2) and Eq.(3). Where as,

(7)
(8)

and

(9)

with

(10)

for the Eq.(2).
Similarly,

(11)
(12)

and

(13)

with

(14)

for the Eq.(3). The only difference occurs in the structure of ,Eq.(8) and Eq.(12).

2.2 Solution by the Method of Characteristics

The method of characteristics [16, 17] as a strong tool for solving a partial differential equation in two variables been well discussed in our recent work [15, 25]. In this formalism, the characteristic equations for the Eq(2) and Eq.(3) has the form:

(15)
(16)

So, along the characteristic curve the PDE (Eq.(2)) and Eq.(3) becomes an ODE:

(17)

Here,

(18)

and it has the identical form in both the cases. The solutions of the characteristic equations Eq.(15) and Eq.(16) for Eq(2) comes out as,

(19)
(20)

while for Eq.(3), these are,

(21)
(22)

The solutions Eq.(19-22) are in space. Using these solutions of the characteristic equations, we can express the solutions of the Eq.(2) and Eq.(3) in space in a more precise form as,
Eq.(2), MOC1:

(23)

where

(24)

Eq.(3)MOC2:

(25)

where

(26)

with

(27)

Eq.(23) and Eq.(25) are our solutions for obtained from the Eq.(2) and Eq.(3). The exponent and are different because and as defined in Eq.(20) and Eq.(22) are not the same. We have assumed that , as well as in deriving Eq.(23) and Eq.(25). Analytical solutions are possible only under these extreme conditions. Thus we see that both the solutions obtained from the same evolution equation with two different levels of approximation leads us to two results, with the difference in the solution of the characteristic equations only.

2.3 Solution by the Lagrange’s Auxiliary Method

To solve the equation Eq.(2) by the Lagrange’s Auxiliary Method[18], we use the auxiliary system of equation given by Eq.(6).
The general solution of the Eq.(2) and Eq.(3) are obtained by solving the following auxiliary system of ordinary differential equations,

(28)

If and are the two independent solutions of Eq.(28),then in general, the solution of Eq.(6) is

(29)

Where is an arbitrary function of and . In our recent work we have applied Lagrange’s method successsfully for the corresponding unpolarized structure function [25]. Using the same approach with physically plausible boundary conditions, Eq.(2) and Eq.(3) give the specific solution for as,

(30)

The explicit analytical form of in the leading approximation for Eq.(2) is,

(31)

while for Eq.(3), it is,

(32)

At this level, the solutions Eq.(31) and Eq.(32) are distictively different as was the case with the method of characterisrics (Eq.(23) and Eq.(25)). However as Eq.(32) is not real at , it will not give a physically plausible solution of and can be reuled out on physical ground. But in the limit , as has been used in the derivation of Eq.(23) and Eq.(25) for the method of characteristics,both Eq.(31) and Eq.(32) are identical. i.e. In both the cases,

(33)

Hence we get,

(34)

as the analytical solution using Lagrange’s method, for Eq.(2) and Eq.(3) at small . Unlike the solutions obtained using the method of characteristics Eq.(23) and Eq.(25), the solutions obtained by using the Lagrange’s auxiliary method are same.
In the next section we consider the phenomenological utility of our solutions with respect to each other vis-a-vis the available experimental data. We perform a test to test their compatibility with the data.

3 Results and discussion

We now compare our analytical solutions Eq.(23)(MOC1), Eq.(25)(MOC2) and Eq.(34)(LM) with the HERMES [26] and COMPASS [33] data for the polarized non-singlet structure function related to the non-singlet polarized parton densites , by using the relation [26],

(35)

For any flavour, , it turns out to be,

(36)

The data of ref [26, 33] are available within the range , for HERMES and , for COMPASS respectively. The approximate analytical solutions, although derived in the ultra small limit; (, as well as ), we study if they are compatible with the available data at the range () and () reasonably [28].

We consider data for comparison from 36 and 14 individual kinematic bins from (HERMES) and (COMPASS) respectively as well as statistical uncertainities for each bin. To evolve our solutions we take the input distribution from LSS05[8] and consider and in LO [29].

To derive the final , the follwing relation is used,[26]

(37)

where accounts for the D-state admixture in the deuteron wave function.[30]

From Figure 1,2 and 3, we observe that our analytical models represented by Eq.(25)(MOC2) and Eq.(34)(LM) are in good agreement with the experimental data upto the value . But our solution given by method of characteristics, Eq.(23)(MOC1) overshoots the data beyond . Thus we can conclude that the valid range of for the three analytical models is , above which the small approximation is no more valid.

Further we test the compatibility of the three analytical solutions with the evolution within the valid small range of the experimental data (both HERMES and COMPASS). For HERMES, small data is within the range , whereas for COMPASS it is within the range, . We therefore confine our comparison within this range .

Figure 4,5 and 6 shows the compatibility of our analytical models with COMPASS data and Figure 7, 8 and 9 shows the same for HERMES data separately. From the figures we observe that our analytical models are reasonably cosistent within the experimentally accessible small range of data and range .

Figure 1: Polarized non-singlet structure function as function of at different according to Eq.(34). Data from refs [26] and [33]
Figure 2: Polarized non-singlet structure function as function of at different according to Eq.(23). Data from refs [26] and [33]
Figure 3: Polarized non-singlet structure function as function of at different according to Eq.(25). Data from refs [26] and [33]
Figure 4: Polarized non-singlet structure function as function of at different according to Eq.(34). Data from refs [33]
Figure 5: Polarized non-singlet structure function as function of at different according to Eq.(23). Data from refs [33]
Figure 6: Polarized non-singlet structure function as function of at different according to Eq.(25). Data from refs [33]
Figure 7: Polarized non-singlet structure function as function of at different according to Eq.(34). Data from refs [26]
Figure 8: Polarized non-singlet structure function as function of at different according to Eq.(23). Data from refs [26]
Figure 9: Polarized non-singlet structure function as function of at different according to Eq.(25). Data from refs [26]

We perform a test using the formula , to check the quantitative estimate of the goodness of fit among the solutions obtained by two analytical methods with the experimental data. In Table 1 we give the for each analytical solutions given by Eq.(23), Eq.(25), Eq.(34). The d.o.f. for HERMES and COMPASS are 36 and 14 respectively.

Method Solutions HERMES Collaboration COMPASS Collaboration
Method of characteristics MOC1,Eq.(23) 0.0218 0.57
Method of characteristics MOC2,Eq.(25) 0.055 0.58
Lagrange’s Method Eq.(34) 0.054 0.616
Table 1: values for Eq.(23), Eq.(25) and Eq.(34)

From the analysis as given in Table 1, we infer that the analytical solution given by Eq.(23)(MOC1) fares better that the other two Eq.(25) and Eq.(34).

Let us now comment on the Bjorken sum rule [31] in the context of present work. As is well known, important informations about the spin structure of nucleon can be extracted from the first moment of spin structure function , known as Bjorken sum rule. The Bjorken integral defined as,

(38)

Where is expressed in Eq.(35) in terms of .
To evaluate theoretically , one needs information about in the entire physical region of , . A model whose validity is tested only in a limited range , one can obtain only partial information about . i.e.

(39)

which gives information about the contribution to the from the partons having fractional momentum , which should invariably be less than its exact experimental measured value, i.e. . A similar analysis for partial momentum sum rule [32] has been reported recently. It is to be noted that in ref [15], was calculated itself as , even though our model was valid for range only. The E155 collaboration at SLAC found at , which is confirmative with SMC results, at . For the HERMES collaboration [26], the cumulative range of within the range at is found to be, . In recent analysis for COMPASS [33], the is evaluated in the range , to be at . COMPASS has further measured separately as shown in Table 2 below, where . Let us now estimate the partial value and compare its contribution to the measured value of , for the analytical models.

range
0 - 0.004 0.0098
0.004 - 0.7
0.7 - 1.0 0.0048
0 - 1
Table 2: First moment at from the COMPASS[33] data points.

In Table 3, we show a prediction to partial , for and , taking contribution from the region , where the analytical models work reasonably. The results are far less than the corresponding experimental values of . The remaining part of is contributed by the small and large partons having and respectively.

Solutions
MOC1,Eq.(23) 0.08939 0.08532
MOC2,Eq.(25) 0.03579 0.03426
Lagrange’s method Eq.(34) 0.054 0.0667
Table 3: Predictions for the partial integrals of () obtained for the solutions Eq.(23), Eq.(25) and Eq.(34) with and for and .

As the present formalism is expected to be valid for small , we also estimate the prediction for , for the present models, assuming its validity in the small range separately. The results are shown in Table 4 for and , which below the experimental value [33], suggests the large ,() contribution is necessary in case of our analytical models to account for the experimental value.

Solutions
MOC1,Eq.(23) 0.0008853 0.0009036
MOC2,Eq.(25) 0.0004845 0.0004753
Lagrange’s method,Eq.(34) 0.0001248 0.0001529
Table 4: Integrals of for analytical solutions Eq.(23), Eq.(25), Eq.(34) in the limited small range at and .

Though our analytical models works reasonably well within a small range as discussed above, we still check their contribution to in the high range , for completeness of the comparative study. The respective values of at and are shown in Table 5 below. The values are lower than the experimental value for COMPASS, within the region at . But at increased our analytical solution derived by Lagrange’s method give higher values. Hewever as our analytical solution Eq.(23) given by method of characteristics is not valid beyond , hence we do not get a value of for that model for high range.

Solutions
MOC2,Eq.(25) 0.131 0.124
Lagrange’s method,Eq.(34) 0.161 0.197
Table 5: Integrals of for analytical solutions Eq.(25), Eq.(34) in the high range at and .

4 Conclusion

In this work we have calculated the non-singlet spin structure function using two analytical methods: Lagrange’s and Method of Characteristics. The analytical solutions are in good agreement with the experimental data from both HERMES and COMPASS within a comparatively small range with range . From our analysis (both graphical and ) we conclude that our analytical solution Eq.(23) obtained by method of characteristics compares best in the range defined above. We have also calculated the partial momentum fractions, carried by small () non-singlet partons for the analytical models. The behaviour of analytical models in NLO is currently under study.

References

  1. V. N. Gribov and L. N. Lipatov, Sov. J. Nucl. Phys., , 438 (1972);
  2. L. N. Lipatov, Sov. J. Nucl. Phys., , 94 (1975);
  3. Yu. L. Dokshitzer, Sov. Phys. JETP, , 641 (1977);
  4. G. Altarelli and G. Parisi, Nucl. Phys. , 298 (1977);
  5. M. Hirai, S. Kumano and N. Saito, (Asymmetry Analysis Collab), Phys.Rev. D, , 054021 (2004);
  6. J. Blumlein and H. Bottcher, Nucl.Phys. B, , (2002) 225;
  7. M. Gluck, E. Reya, M. Stratmann and W. Vogelsang, Phys. Rev. D,,094005,(2001)
  8. E. Leader, A. V. Sidorov, and D. B. Stamenov, Phys. Rev.D, , 034023 (2006);
  9. D. K. Choudhury and J. k. Sarma, Pramana-J.Phys, , 481 (1992);
  10. D. K. Choudhury, J. k. Sarma and G. K. Medhi, Phys. Lett., , 139 (1997);
  11. D. K. Choudhury and Atri Deshamukhya, Indian J. Phys., , A, 175 (2001);
  12. D.  K. Choudhury and P K Sahariah, Pramana-J.Phys., , 599 (2002);
  13. D. K. Choudhury and P K Sahariah, hep-ph , (2006);
  14. D. K. Choudhury and P K Sahariah, hep-ph , (2006);
  15. N. N. K. Borah, D. K. Choudhury and P. K. Sahariah, Non-singlet spin structure function in the DGLAP approach. Pramana-J.Phys,(4)833-837(2012)
  16. W. E. Williams, Partial Differential Equations, Clarendon Press,Oxford (1980);
  17. S. J. Farlow, ”Partial Differential Equations for Scientists and Engineers” John Willey, NewYork(1982);
  18. I. Sneddon, Elements of Partial Differential Equations, M.Graw Hill, NewYork (1957)p131;
  19. D. K. Choudhury and P. K. Dhar, Indian J. Phys., , (2) 259, (2007);
  20. D. K. Choudhury and P. K. Dhar, Indian J. Phys., , (12) 1699-1709, (2009);
  21. R. Baishya, R. Rajkhowa and J. K. Sarma, Phys. Rev. D., , 107702, (2006);
  22. R. Baishya, U. Jamil and J. K. Sarma, Phys. Rev. D., , 034030, (2009);
  23. N. H. Shah and J. K. Sarma, Phys. Rev. D., , 074023, (2008);
  24. M. Devee, R. Baishya and J. K. Sarma, Eur. Phys. Journal C., : 2036 (2012);
  25. N. N. K. Borah, D. K. Choudhury and P. K. Sahariah, Advances in High Energy Physics, vol.2013, Article ID , 2013;
  26. A. Airapetian et al HERMES Collab. Phys. Rev. D, , 012007(2007);
  27. E. S. Ageev et al.,(COMPASS Collaboration), Phys. Lett. B (2005) 154; V. Y. Alexakhin et al. (COMPASS Collaboration), Phys. Lett. B , 8, (2007);
  28. S. Islam and D. K. Choudhury, Euro. Phys. J. C , 2257,(2012);
  29. Particle Data Group, American Physical Society, Phys. Rev. D, 1 (2012);
  30. R. Machleidt, K. Holinde and C. Elster, Phys. Rep. (1987)1;
  31. J. D. Bjorken, Phys. Rev. D, , 1467 (1966); Phys. Rev. D, , 1376 (1970);
  32. A. Jahan and D. K. Choudhury, Mod. Phys. Lett. A, , 1350056 (2013),arXive;1306.1891 (hep-ph);
  33. M. G. Alekseev et al. (COMPASS Collaboration), Phys.Lett. B , 466 (2010), arXive;1001.4654 (hep-ph).
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