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Register a new userUsing Forward-Backward Drell-Yan Asymmetry in PDF Determinations
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We study the impact of the inclusion of Neutral Current (NC) DY data from LHC mapped in the Forward-Backward Asymmetry ($A_{rm FB}$) observable on PDF uncertainties, using the open source platform texttt{xFitter}. We find that $A_{rm FB}$ enables new PDF sensitivity at current and future luminosity stages of LHC.
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We investigate the impact of high-statistics Drell-Yan (DY) measurements at the LHC on the study of non-perturbative QCD effects from parton distribution functions (PDF). We present the results of a PDF profiling analysis based on the neutral-current DY forward-backward asymmetry, using the open source fit platform xFitter.
Non-perturbative QCD effects from Parton Distribution Functions (PDFs) may be constrained by using high-statistics Large Hadron Collider (LHC) data. Drell-Yan (DY) measurements in the Charged Current (CC) case provide one of the primary means to do this, in the form of the lepton charge asymmetry. We investigate here the impact of measurements in Neutral Current (NC) DY data mapped onto the Forward-Backward Asymmetry ($A_{rm FB}$) on PDF determinations, by using the open source fit platform {tt{xFitter}}. We demonstrate the potential impact of $A_{rm FB}$ data on PDF determinations and perform a thorough analysis of related uncertainties.
Measurements of the forward-backward asymmetry in neutral-current Drell-Yan di-lepton production have primarily been used for determinations of the weak mixing angle $theta_W$. We observe that, unlike the case of Run-I of the Large Hadron Collider (LHC Run-I), for the first time at the LHC Run-II the reconstructed forward-backward asymmetry has the capability of placing useful constraints on the determination of the parton distribution functions (PDFs). By examining the statistical and the PDF uncertainties on the reconstructed forward-backward asymmetry, we investigate its potential for disentangling the flavour content of quark and antiquark PDFs. Access to the valence/sea $u$-quark and to the sea up-type antiquark PDFs, in particular, may be gained by the appropriate use of selection cuts in the rapidity of the emerging lepton pair in regions both near the $Z$-boson peak and away from it, in a manner complementary, though more indirect, to the case of the charged-current asymmetry. We study the extension of these results for the planned high-luminosity (HL) LHC.
This article proposes a novel method for unbiased PDF updating by using the forward-backward asymmetry $(A_{FB})$ in the Drell-Yan $pp rightarrow Z/gamma^{*} rightarrow ell^+ell^-$ process. The $A_{FB}$ spectrum, as a function of the dilepton mass, is not only governed by the electroweak (EW) fundamental parameter, i.e. the weak mixing angle $sin^2 theta_{W}$, but also sensitive to the parton distribution functions (PDFs). When performing simultaneous or iterative fittings for the PDF updating and EW parameter extraction with the same $A_{FB}$, the strong correlations between them may induce large bias into these two sectors. From our studies, it was found that the sensitivity of $A_{FB}$ on $sin^2 theta_{W}$ is dominated by its average value around the $Z$ pole region, while the shape (or gradient) of the $A_{FB}$ spectrum is insensitive to $sin^2 theta_{W}$ but highly sensitive to the PDF modeling. Accordingly, a new observable related to the gradient of the spectrum is defined, and demonstrated to have the capability of significantly reducing the correlation and potential bias between the PDF updating and electroweak measurement. Moreover, the well-defined observable will provide unique information on the sea-valence PDF ratios of the first generation quarks.
We address the impact of future measurements of charged and neutral current Drell-Yan (DY) asymmetries and their combination on Parton Distribution Functions (PDFs) uncertainties. We quantify the reduction of PDF uncertainties using the QCD tool xFitter. We examine the effects of such reduced PDF errors on both Standard Model (SM) and Beyond SM (BSM) observables.
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