1 Introduction

The parity-violating forward–backward asymmetry (\(A_{FB}\)) of neutral current \(f_i{\bar{f}}_i \rightarrow Z/\gamma ^* \rightarrow f_j{\bar{f}}_j\) fermion scattering processes is defined as \(A_{FB} = (N_F - N_B)/(N_F + N_B)\), where \(N_F\) and \(N_B\) are the numbers of forward and backward events, which are designated according to the sign of cosine scattering angle of the outgoing fermion \(f_j\) with respect to the direction of the incoming fermion \(f_i\). In the standard model (SM), the \(A_{FB}\) arises from the interference between vector and axial vector coupling terms of the Z boson to fermions, and its value at the Z boson mass pole is governed by the leptonic effective weak mixing angle parameter \(\sin ^{2}\theta _{\mathrm{eff}}^{\ell }\). Therefore, the \(A_{FB}\) observable has been used to measure \(\sin ^{2}\theta _{\mathrm{eff}}^{\ell }\) in past decades, from the LEP and SLD experiment at electron-positron colliders to those at Tevatron and LHC hadron colliders, to provide precise test on the spontaneous symmetry breaking mechanism of the electroweak sector (EW) in the SM. At hadron colliders such as the LHC, the \(A_{FB}\) spectrum is measured as a function of the invariant mass M of the dilepton final states in Drell–Yan (DY) \(pp\rightarrow q_i{\bar{q}}_i \rightarrow Z/\gamma ^* \rightarrow l^+l^-\) processes, while the scattering angle defined in the Collins-Soper frame [1]. In the current framework of the SM, the quarks and antiquarks in the initial states of Drell–Yan process act as partons in the proton, and are modeled by the parton distribution functions (PDFs). Since quarks and antiquarks have the same probability of coming from either side of the proton beams, the observed asymmetry at the LHC is diluted by the uncertainty in the quark direction. This dilution effect reflects the relative difference between quarks and anti-quarks in proton, and thus the \(A_{FB}\) at the LHC can provide unique information to constrain the PDF [2,3,4,5], especially on the relative energy distributions of the first generation up and down quarks.

The precisions of determination on \(\sin ^{2}\theta _{\mathrm{eff}}^{\ell }\) and the PDFs using the \(A_{FB}\) spectrum are limited due to the strong correlation between them. On the one hand, the PDF-induced uncertainties on \(\sin ^{2}\theta _{\mathrm{eff}}^{\ell }\) are at \(\mathcal {O}(0.1 \%)\) with respect to its measured central values, according to the measurements from the ATLAS, CMS and LHCb collaborations [6,7,8]. This PDF-induced uncertainty will be the most dominating factor limiting the precision of \(\sin ^{2}\theta _{\mathrm{eff}}^{\ell }\) measurement in the future. On the other hand, the accuracy of updating PDF using the \(A_{FB}\) at the LHC is affected by the precision of \(\sin ^{2}\theta _{\mathrm{eff}}^{\ell }\) value measured by those PDF-independent or less dependent experiments, such as the LEP/SLD [9] and the Tevatron [10], where the uncertainties on \(\sin ^{2}\theta _{\mathrm{eff}}^{\ell }\) are also at \(\mathcal {O}(0.1\%)\) level. It has been shown [5] that the uncertainty extrapolated from the variation of the pre-determined \(\sin ^{2}\theta _{\mathrm{eff}}^{\ell }\) value into the PDF updating by using the \(A_{FB}\) measurement could be as large as the PDF-induced uncertainty on the \(A_{FB}\) itself at the LHC.

To take into account the above-mentioned correlation, one may argue to perform a global QCD analysis of PDFs, with \(\sin ^{2}\theta _{\mathrm{eff}}^{\ell }\) as an additional fitting parameter to the shape parameters of the non-perturbative PDFs of the proton. For example, in the CT14HERA2 PDF analysis [11, 12], there are 28 shape parameters of the non-perturbative PDFs at the initial scale \(Q_0=1.3\) GeV, from which the PDFs are evolved according to the DGLAP evolution equations. However, there are currently various technical difficulties to perform such an analysis in a consistent manner. First, many of the old experimental data sets included in the PDF global analysis were extracted at the leading order in electroweak interaction, and those data are still important for constraining different parton flavor (i) PDFs, denoted \(f_i(x,Q)\), in various x ranges of the proton [13]. To achieve a high precision on the determination of \(\sin ^{2}\theta _{\mathrm{eff}}^{\ell }\), all the Wilson coefficients of the scattering processes included in the PDF global analysis have to be updated to higher-order in electroweak interaction. This feature is not yet available in the current PDF global analysis programs. Second, the potential tensions between the existed data sets and the up-coming new experimental \(A_{FB}\) results could possibly generate bias on the determination of \(\sin ^{2}\theta _{\mathrm{eff}}^{\ell }\) included in the fit. This is analogous to determining the strength of the coupling \(\alpha _s\) in strong interaction via PDF global analysis. Typically, it yields a much larger uncertainty as compared to that measured from some dedicated experiments. For example, in the recent CT18 PDF global analysis, cf. Fig. 13 of Ref. [14], it was found that the strong coupling constant, at the Z-boson mass (\(M_Z\)) scale, \(\alpha _s(M_Z)=0.1164 \pm 0.0026\) at the \(68\%\) confidence level, when including \(\alpha _s\) as one of the fitting parameters of the global analysis. This result should be compared to the world-average value \(\alpha _s(M_Z)=0.1179 \pm 0.0010\) [15]. For that reason, the value of \(\alpha _s\) is fixed in a typical PDF global analysis. The combined PDF+\(\alpha _s\) uncertainty can be computed using the special \(\alpha _s\) series of the PDFs for each family by adding the PDF and \(\alpha _s\) uncertainties in quadrature, as explained in Ref. [16]. Third, as noted above, many non-LHC data, including deep-inelastic scattering (DIS), fixed-target Drell–Yan and Tevatron data, are still important to determine the flavor decomposition of the PDFs in the proton, and cannot be removed all together from the PDF global analysis. Hence, it would be challenging to obtain a precise determination of \(\sin ^{2}\theta _{\mathrm{eff}}^{\ell }\) from a global QCD analysis of PDFs, with \(\sin ^{2}\theta _{\mathrm{eff}}^{\ell }\) as an additional fitting parameter. It is desirable to develop a method to independently determine the value of \(\sin ^{2}\theta _{\mathrm{eff}}^{\ell }\) using the precision electroweak data at the LHC. In this article, we show how to reduce the correlation between the PDF updating and \(\sin ^{2}\theta _{\mathrm{eff}}^{\ell }\) determination, by using the \(A_{FB}\) spectrum from individual experiments at the future high luminosity LHC.

At the LHC, the \(A_{FB}\)-to-\(\sin ^{2}\theta _{\mathrm{eff}}^{\ell }\) sensitivity is dominated by the Drell–Yan events in the Z boson mass pole region, with the \(A_{FB}\)-to-PDF sensitivity is higher in the off-shell sideband region [4]. Accordingly, we proposed in our previous paper [5] that the correlation in the PDF updating using the \(A_{FB}\) spectrum can be reduced by excluding the events around the Z pole. However, the potential bias raised by the reduced correlation derived from offshell events is still sizable. In addition, observations of the \(A_{FB}\) in the sideband regions usually suffer large experimental difficulties and systematics. In this paper, we propose a new observable derived from the \(A_{FB}\) spectrum at the LHC, which can be used to decouple the electroweak sectors of the Drell–Yan processes from its requirement of proton structure knowledge, and therefore build a safe experimental input for PDF updating and precise electroweak measurements.

2 Definition of PDF-only-sensitive observables

In this section, we discuss the idea of reducing the correlations to electroweak physics in the PDF updating, using the \(A_{FB}(M)\) distributions at the LHC. All the theoretical predictions presented in this work are derived from simulations of Drell–Yan process \(pp\rightarrow Z/\gamma ^* \rightarrow \ell ^+\ell ^-\), generated at 13 TeV proton-proton collision by using the ResBos [17] package at approximately next-to-next-to-leading order (NNLO) plus next-to-next-to-leading logarithm (NNLL) in QCD interaction, together with the CT14HERA2 PDFs [11, 12]. Both the factorization and renormalization scales have been set to be the invariant mass of the Drell–Yan pair. Samples with different \(\sin ^{2}\theta _{\mathrm{eff}}^{\ell }\) inputs are generated to demonstrate the correlation of PDFs to the EW parameter. The dilepton invariant mass region of simulation samples is set as \(60<M< 120\) GeV, with \(80<M<100\) GeV assigned as the Z pole region, and \(60<M<80\) and \(80<M<120\) denoted as the off-shell sideband region. The statistics of each sample corresponds to the size of the data collected by the ATLAS or CMS detectors during the LHC Run II period (2015–2018, 130 fb\(^{-1}\)).

At hadron colliders, the scattering angle of outgoing negative charged leptons to incident quarks is calculated in the Collins-Soper frame, which is introduced to deal with sizable transverse momentum (\(Q_T\)) of the Z boson and provide a kind of center of mass system of the dilepton final state observed in the laboratory frame. The z axis in the CS frame is defined as the bisector of the angle formed by the direction of the momentum of one incoming hadron beam (\(H_A\)), and the negative direction of the momentum of the other hadron beam (\(H_B\)). Since the initial state of the LHC pp collision is completely symmetrical, the \(A_{FB}\) has to be measured in a modified CS frame, where \(H_A\) is statistically defined as the hadron beam pointing to the same hemisphere as the reconstructed Z boson pointing to. It means that the modified CS frame for the LHC is defined on event-by-event basis. Figure 1 shows the \(A_{FB}(M)\) spectrum with different input values of \(\sin ^{2}\theta _{\mathrm{eff}}^{\ell }\).

Fig. 1
figure 1

Predictions of \(A_{FB}(M)\) as a function of the dilepton invariant mass M in \(pp\rightarrow Z/\gamma ^* \rightarrow \ell ^+\ell ^-\) events at 13 TeV pp collisions, with different input values of \(\sin ^{2}\theta _{\mathrm{eff}}^{\ell }\). The bottom panel is the bin-by-bin difference with respect to the \(A_{FB}(M)\) with \(\sin ^{2}\theta _{\mathrm{eff}}^{\ell }=0.2315\). The error bar corresponds to the statistical fluctuation of the samples generated by using ResBos and CT14HERA2

It can be seen that in the Z pole region, the variation in the \(A_{FB}(M)\) distribution with respect to different \(\sin ^{2}\theta _{\mathrm{eff}}^{\ell }\) inputs is approximately a global shift. This feature indicates that \(\sin ^{2}\theta _{\mathrm{eff}}^{\ell }\) governs more on the average \(A_{FB}\) value around the Z pole than the off-shell spectrum in the sideband region. To quantitatively describe this feature, we propose to express the \(A_{FB}(M)\) spectrum in a factorization form of interpolation at the Z mass pole:

$$\begin{aligned} A_{FB}(M) = D(M)\times (M - M_Z) + A_{FB}(M_Z) \end{aligned}$$
(1)

where the parameter D(M) represents the gradient of the \(A_{FB}(M)\) shape and should be less dependent on \(\sin ^{2}\theta _{\mathrm{eff}}^{\ell }\), while the most \(\sin ^{2}\theta _{\mathrm{eff}}^{\ell }\)-sensitive contribution in the Z-pole region is absorbed by the \(A_{FB}(M_Z)\) term. Specifically, within the Z pole region, the \(A_{FB}(M)\) spectrum at the LHC is approximately a linear distribution and the D(M) term is a constant slope. The linearity of the constant slope is depicted in Fig. 2, with the input \(\sin ^{2}\theta _{\mathrm{eff}}^{\ell }\) set as 0.2345. Figure 3 shows the \(\sin ^{2}\theta _{\mathrm{eff}}^{\ell }\) dependence of the constant slope D(M), obtained by fitting to the \(A_{FB}(M)\) distribution in the Z pole region, generated at various \(\sin ^{2}\theta _{\mathrm{eff}}^{\ell }\) values, with its PDF uncertainties predicted by the CT14HERA2 PDFs. One can clearly see that within a large variation on the values of \(\sin ^{2}\theta _{\mathrm{eff}}^{\ell }\), the relative change on the slope is at a level of \({\mathcal {O}}(0.001)\), while the relative PDF-induced uncertainty on the slope is around \(6\%\). Therefore, it is clear that the gradient of the \(A_{FB}(M)\) spectrum is much more sensitive to PDF than to \(\sin ^{2}\theta _{\mathrm{eff}}^{\ell }\).

Fig. 2
figure 2

Predictions of the \(A_{FB}(M)\) spectrum in the Z-pole region at the LHC, with a linear-fitting. Error bars are included for demonstrating the statistical fluctuation

Fig. 3
figure 3

The fitted D(M) of \(A_{FB}(M)\) in the Z-pole region of \(80<M<100\) GeV, as a function of \(\sin ^{2}\theta _{\mathrm{eff}}^{\ell }\). The error band corresponds to the PDF uncertainty of CT14HERA2, which is given at the \(68\%\) C.L. Error bars are included for demonstrating the statistical fluctuation

It should be noticed that Eq. 1 is only a simple example of defining the gradient of the \(A_{FB}(M)\) spectrum to show the insensitivity of the shape information to \(\sin ^{2}\theta _{\mathrm{eff}}^{\ell }\). In fact, one could construct the experimental observable with different mass range and bin size if it is needed to help control the experimental systematics in practice. In the following discussions, we introduce an observable with a specific mass region and bin size, just as an example:

$$\begin{aligned} G(\varDelta ) = A_{FB}(90-\varDelta ) - A_{FB}(90+\varDelta ). \end{aligned}$$
(2)

This definition of shape observable reflects the relativ difference of the \(A_{FB}(M)\) values evaluated at the two mass points which are symmetrically located around 90 GeV, close to the Z mass pole. Figure 4 shows the predicted values of the observable \(G(\varDelta )\) in two samples with different \(\sin ^{2}\theta _{\mathrm{eff}}^{\ell }\) inputs, respectively, as a function of the deviation \(\varDelta \) which is calculated with averaged \(A_{FB}(90\pm \varDelta )\) values in a typical 2 GeV mass bin in order to contain experimental conditions. As expected, the difference of the two samples in the whole symmetric mass deviation region, depicted as solid lines in the bottom panel, is negligibly small, manifesting that the new observable \(G(\varDelta )\) is insensitive to the \(\sin ^{2}\theta _{\mathrm{eff}}^{\ell }\) value. On the other hand, there are large PDF-induced uncertainties on \(G(\varDelta )\) when deviating from the Z pole, indicating that this variable is sensitive to PDFs.

Fig. 4
figure 4

The values of the observable \(G(\varDelta )\) with different \(\sin ^{2}\theta _{\mathrm{eff}}^{\ell }\) inputs of 0.2345 and 0.2315, respectively, shown as a function of \(\varDelta \) and calculated with averaged \(A_{FB}\) in a 2 GeV mass bin. In the bottom panel, the solid lines depict the difference \(\delta G(\varDelta )\) of the two samples, while the error band corresponds to the PDF-induced uncertainty in \(G(\varDelta )\) calculated from CT14HERA2 PDFs

3 Tests on uncorrelated PDF updating

To numerically test how much the correlation between PDF and \(\sin ^{2}\theta _{\mathrm{eff}}^{\ell }\) could be reduced by the new variable, we perform a fast PDF updating by using the Error PDF Updating Method Package (ePump) [13, 18] with pseudo-data samples. The ePump tool provides a fast global fitting procedure consistent with that in the real PDF global fitting of CTEQ PDFs. To make this test comparable to previous studies [5], we apply an ATLAS-like detector acceptance cut [19]. The central region leptons are defined with their pseudo-rapidity \(|\eta |<2.5\), while the forward region leptons are defined with their pseudo-rapidity \(2.5<|\eta |<4.9\). Leptons are further required to have their transverse momentum \(p_T>25\) GeV. Only the central-central events (CC), where both leptons are in the central region, and the Central-Forward (CF) events, where one lepton in the central and the other in the forward region are used. The forward-forward (FF) events are removed due to the fact that these events are practically difficult to be precisely measured. For demonstration, the observed \(G(\varDelta )\) in the CC and CF categories are used as new pseudo-data input to ePump for a fast PDF updating.

A set of nominal \(G(\varDelta )\) predictions given by CT14HERA2 error PDFs, used as theoretical inputs in the ePump updating, are calculated from simulations generated with \(\sin ^{2}\theta _{\mathrm{eff}}^{\ell }=0.2315\). A pseudo-data sample is generated with \(\sin ^{2}\theta _{\mathrm{eff}}^{\ell }=0.2345\), of which the difference to that used in the nominal error set predictions is as large as 10 times the uncertainty on \(\sin ^{2}\theta _{\mathrm{eff}}^{\ell }\) from its best measurements [9, 10]. Since the error set predictions and the pseudo-data observations are derived from the same CT14HERA2 PDFs, an unbiased (or EW-uncorrelated) update should have no significant changes on any observable predictions, but have the PDF-induced uncertainty reduced. In this test, the correlation between PDF and \(\sin ^{2}\theta _{\mathrm{eff}}^{\ell }\) or the potential bias that might be induced into PDF updating is quantified by the deviation \(\delta A_{FB}\), defined as the difference of the averaged \(A_{FB}\) in the Z pole region before and after the PDF updating.

Table 1 Average \(A_{FB}\) in the Z-pole region of the pseudo-data and theory predictions. The PDF updating is performed using the full mass range \(G(\varDelta )\) in pseudo-data (\(\sin ^{2}\theta _{\mathrm{eff}}^{\ell }=0.2345\)). Statistical uncertainty corresponds to the data sample with an integrated luminosity of 130 fb\(^{-1}\)
Table 2 Average \(A_{FB}\) in the Z-pole region of theory predictions of CF events. The PDF updating is performed using the full mass range \(A_{FB}\), the sideband-only \(A_{FB}\), and the \(G(\varDelta )\) with CF events in pseudo-data (\(\sin ^{2}\theta _{\mathrm{eff}}^{\ell }=0.2345\)), respectively

The numerical results of updating PDF using the new \(G(\varDelta )\) observable in the full mass region \(60<M<120\) GeV, with CC, CF and CC+CF events, are listed in Table 1, respectively. It can be seen that the potential bias \(\delta A_{FB}\) induced by the \(G(\varDelta )\) updating is negligibly small. For example, in the most sensitive CF category, the difference in the average value of \(A_{FB}\), termed \(\delta A_{FB}\), before and after updating the PDFs using the \(G(\varDelta )\) observable, is about \(\sim 0.00003\), which is more than 20 folds smaller than the PDF-induced uncertainty (\(\pm 0.00075\)) of \(A_{FB}\) itself after the updating, and also much smaller than its statistical fluctuation (\(\pm 0.00017\)).

In Table 2, the potential bias after PDF updating by using different observables defined with the \(A_{FB}(M)\) spectrum are compared. Again, one can see that the bias of the \(G(\varDelta )\) updating is nearly an order of magnitude less than that derived from an updating using the sideband-only \(A_{FB}\), and two orders of magnitude less than that from an updating directly using the full mass range \(A_{FB}\) spectrum.

To illustrate how much the correlation is reduced, we directly compare the PDFs before and after being updated with the full-mass region \(A_{FB}\), the sideband-only \(A_{FB}\), and the full-mass region \(G(\varDelta )\), as a function of x in Figs. 5 and 6, respectively. The ratio of the PDF predictions before and after updating are shown for the distributions of PDF ratios \({\bar{u}}/u_\text {valence}\) and \({\bar{d}}/d_\text {valence}\), as a function of x at \(Q=100\) GeV. A couple of important conclusions are noted below. First, the relative difference between the valance and sea PDFs of the first generation light quarks is sensitive to the \(A_{FB}\) shape information. Second, the potential bias arising from the PDF-\(\sin ^{2}\theta _{\mathrm{eff}}^{\ell }\) correlation is significant when updating the PDFs by using the full mass range \(A_{FB}\) spectrum, but would be reduced to negligible level by using the new \(G(\varDelta )\) observable.

Fig. 5
figure 5

The PDF ratio \({\bar{u}}/u_\text {valence}\) to the CT14HERA2 central prediction before and after updating PDF with CF events in the pseudo-data (\(\sin ^{2}\theta _{\mathrm{eff}}^{\ell }=0.2345\)). The left, middle and right plots correspond to using the full mass range \(A_{FB}(M)\), the sideband \(A_{FB}(M)\) and the full mass range \(G(\varDelta )\), respectively. The blue lines and error bands show the ratios before updating. The red lines and error bands show the ratios after updating. The x axis is the fraction of the effective parton energy with respect to the proton

Fig. 6
figure 6

Similar to Fig. 5, but for the PDF ratio \({\bar{d}}/d_\text {valence}\)

Since the \(G(\varDelta )\) observable, or other similar observables describing the gradient of the \(A_{FB}\) distribution, takes only part of the information from the \(A_{FB}(M)\) spectrum, it is expected that the reduction on the PDF uncertainty will not be as large as that using the full mass range \(A_{FB}(M)\) spectrum. However, the small difference in the efficiency of reducing the PDF uncertainties by the above two methods would diminish when a much larger data sample is collected at the future LHC experiments. Moreover, using the full mass range \(A_{FB}(M)\) spectrum to update the PDFs will induce a much larger bias on the measurement of \(\sin ^{2}\theta _{\mathrm{eff}}^{\ell }\) than using the \(G(\varDelta )\) observable. Hence, it is advantageous to employ the proposed new observable \(G(\varDelta )\) in the analysis of precision electroweak data.

It is worth mentioning that measuring the shape information of \(A_{FB}(M)\), such as \(G(\varDelta )\), would not require much more work after measuring the experimental observable \(A_{FB}(M)\) at the LHC. The \(G(\varDelta )\) variable used in this study is just one of many possible observables. The principle is to remove the information of the overall average value of \(A_{FB}(M)\), and use only the shape information of the spectrum. In this study, the pseudo-data has an input \(\sin ^{2}\theta _{\mathrm{eff}}^{\ell }\) value significantly different from those used in the theory predictions. It is expected that the experimental measurement of \(\sin ^{2}\theta _{\mathrm{eff}}^{\ell }\) will be further improved in the near future with higher precision, so the residual correlation associated with the shape information of the \(A_{FB}(M)\) spectrum will become smaller than the numerical results presented in this article.

4 Summary and discussion

It has been a long-debated question about how to improve the accuracies of the PDF predictions and fundamental electroweak parameter determinations, with the precise W and Z boson measurements at hadron colliders. The key problem is that most of electroweak sensitive observables at hadron colliders are strongly correlated with PDF models, and therefore iterative fittings for the PDF and electroweak parameters will potentially induce bias into these two important physics sectors.

In this paper, a new method of reducing the correlation with the EW parameter \(\sin ^{2}\theta _{\mathrm{eff}}^{\ell }\) in the PDF updating is proposed, by using the forward–backward asymmetry \(A_{FB}\) distribution of Drell–Yan \(pp \rightarrow Z/\gamma ^* \rightarrow \ell ^+\ell ^- +X\) processes. At the LHC, the \(A_{FB}(M)\) spectrum as a function of the dilepton invariant mass, is found to be highly sensitive to the relative difference between parton distributions of the first generation quarks and antiquarks, thus can be used as an important input in the PDF global fits. Though the \(A_{FB}(M)\) distribution at the LHC is determined by both the PDFs and the EW parameter altogether, it is concluded that the sensitivity of \(A_{FB}\) on the \(\sin ^{2}\theta _{\mathrm{eff}}^{\ell }\) is governed by its overall average around the Z-pole region, while the shape (or gradient) of the \(A_{FB}(M)\) spectrum is much less dependent on the \(\sin ^{2}\theta _{\mathrm{eff}}^{\ell }\) value but still highly sensitive to the PDF modeling. Accordingly, a well-defined experimental observable \(G(\varDelta )\) is introduced to represent the shape information of the \(A_{FB}(M)\) spectrum, and is proposed to be used as an input data to the PDF updating. Numerical tests have been done and clearly demonstrate that the bias of directly using the \(A_{FB}\) distribution in the PDF global fitting caused by it correlation with the electroweak physics can be significantly reduced, while the sensitivity to the PDF parameters is largely retained.

This new method of using the gradient information of the \(A_{FB}(M)\) spectrum in the PDF global fitting, and meanwhile using its average value around the Z-pole dominated by \(A_{FB}(M_Z)\) to determine the \(\sin ^{2}\theta _{\mathrm{eff}}^{\ell }\), could provide a safe, uncorrelated and unbiased way for the high precision PDF update and electroweak measurement at the future high luminosity LHC experiments. The above discussion and proposal is based on the CT14HERA2 PDF predictions, and we have checked that similar conclusions also work for using the proposed \(G(\varDelta )\) to update other PDF sets, such as MMHT2014 [20]. The new method and observables are introduced to reduce the bias caused by the correlation between PDFs and \(\sin ^{2}\theta _{\mathrm{eff}}^{\ell }\). It should be taken as a better way to analyze the \(A_{FB}\) data in the EW and PDF study, regardless of the size of the data sample in the experimental measurements. In addition, although the quantative demonstration presented in the paper is mainly based on an ATLAS-liked experiment as an example, the idea and conclusions also hold for other hadron collider experiments such as CMS [21] and LHCb [22].