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Combining TMD factorization and collinear factorization

J. Collins jcc8@psu.edu Department of Physics, Penn State University, University Park PA 16802, USA    L. Gamberg lpg10@psu.edu Science Division, Penn State University Berks, Reading, Pennsylvania 19610, USA    A. Prokudin prokudin@jlab.org Science Division, Penn State University Berks, Reading, Pennsylvania 19610, USA Theory Center, Jefferson Lab, 12000 Jefferson Avenue, Newport News, VA 23606, USA    T. C. Rogers trogers@odu.edu Department of Physics, Old Dominion University, Norfolk, VA 23529, USA Theory Center, Jefferson Lab, 12000 Jefferson Avenue, Newport News, VA 23606, USA    N. Sato nsato@jlab.org Theory Center, Jefferson Lab, 12000 Jefferson Avenue, Newport News, VA 23606, USA    B. Wang bowenw@mail.smu.edu Department of Physics, Old Dominion University, Norfolk, VA 23529, USA Theory Center, Jefferson Lab, 12000 Jefferson Avenue, Newport News, VA 23606, USA
(December 31, 2016)
Abstract

We examine some of the complications involved when combining (matching) TMD factorization with collinear factorization to allow accurate predictions over the whole range of measured transverse momentum in a process like Drell-Yan. Then we propose some improved methods for combining the two types of factorization. (This talk is based on work reported in arXiv:1605.00671.)

I Introduction

This talk was based on Collins et al. (2016), and provides a summary of the results there. More detailed references to earlier literature can be found in that paper.

The issue addressed is the matching of transverse-momentum-dependent (TMD) and collinear factorization for processes like the Drell-Yan process, with both a hard scale QQ and a separate measured transverse momentum qTq_{\text{T}}. TMD factorization applies when qTQq_{\text{T}}\ll Q, and its accuracy degrades as qTq_{\text{T}} increases towards QQ. It involves TMD parton densities (pdfs) fparton/hadron(x,kT)f_{\text{parton}/\text{hadron}}(x,k_{\text{T}}), and in more general process also TMD fragmentation functions.

In contrast, collinear factorization applies at large qTq_{\text{T}} (i.e., of order QQ), and it also applies to the cross section integrated over all qTq_{\text{T}} (and hence for the integral over qTq_{\text{T}} up to a maximum of order QQ). Collinear factorization involves “collinear pdfs” fparton/hadron(x)f_{\text{parton}/\text{hadron}}(x). Its accuracy degrades as qTq_{\text{T}} decreases, and collinear factorization by itself provides unphysically singular cross sections as qT0q_{\text{T}}\to 0. But the nature of the degradation is constrained by the fact the collinear factorization also applies to the cross section integrated over qTq_{\text{T}}.

To get full accuracy over all qTq_{\text{T}} one may combine both methods suitably. Collins, Soper, and Sterman (CSS) Collins and Soper (1982); Collins et al. (1985) implemented this as a kind of simple matched asymptotic expansion. But it has become increasingly clear—e.g., Boglione et al. (2015a, b)—that improved matching methods are needed to get adequate performance in practice, especially at the relatively low QQ used in many experiments on semi-inclusive deep-inelastic scattering (SIDIS). These are of particular relevance to this conference, since these experiments measure important transverse spin asymmetries analyzed with the aid of TMD factorization, as can be seen from other contributions at the conference.

We will summarize the issues and then our proposed improvements in the matching methods.

II Key approximations to get TMD and collinear factorization

The essential measure of the quality of the applicability of a matching method is an evaluation of its accuracy. This is determined by the accuracy of the approximations used in deriving factorization from the exact cross section. The approximations can be understood from an examination of the derivations, as in Collins (2011). A simple example is given by the Feynman-graphical structure of the basic parton-model form, Fig. 1, where the Drell-Yan pair is created by quark-antiquark annihilation, with the quark and antiquark arising from structures that are collinearly moving with respect to the incoming hadrons.

Refer to caption
Figure 1: Parton-model structure for Drell-Yan process.

We use light-front coordinates, where the parton momenta are

kA=(xAPA+,kA,𝒌AT),kB=(kB+,xBPB,𝒌BT).k_{A}=(x_{A}P_{A}^{+},k_{A}^{-},\boldsymbol{k}_{A\,\text{T}}),\quad k_{B}=(k_{B}^{+},x_{B}P_{B}^{-},\boldsymbol{k}_{B\,\text{T}}). (1)

The incoming hadrons pAp_{A} and pBp_{B} have large 3-momenta in the +z+z and z-z directions, with no transverse momentum.

II.1 TMD factorization

To get the corresponding contribution to a TMD-factorized form, approximations are made: (a) In the hard-scattering subgraph, HH, the exact parton momenta kAk_{A} and kBk_{B} are replaced by on-shell values. (b) But in the kinematics, parton transverse momentum is retained, so that the virtual photon momentum qq is (xAPA+,xBPB,𝒌AT+𝒌BT)(x_{A}P_{A}^{+},x_{B}P_{B}^{-},\boldsymbol{k}_{A\,\text{T}}+\boldsymbol{k}_{B\,\text{T}}). Thus, after the approximations, the dependence on the small components kAk_{A}^{-} and kB+k_{B}^{+} is confined to the subgraphs AA and BB, respectively, while the transverse momentum of the Drell-Yan pair arises from the quark transverse momenta.

We can then integrate over kAk_{A}^{-} within AA and kB+k_{B}^{+} within BB, to obtain the natural contributions to the usually defined TMD pdfs. The approximations are valid because kA=O(qT2/q+)k_{A}^{-}=O(q_{\text{T}}^{2}/q^{+}), etc. The approximations become bad when qTq_{\text{T}} increases to roughly order QQ.

Other graphical structures giving leading power contributions, Fig. 2 are treated similarly, with the application of Ward identities and unitarity-style cancellations to get the TMD-factorized form.

Refer to caption
Figure 2: Structures for Drell-Yan to leading power at low qTq_{\text{T}}.

II.2 Collinear factorization for large qTq_{\text{T}}, and for integral over qTq_{\text{T}}

Large qTq_{\text{T}} is dominantly generated from hard scatterings where extra partons are emitted, exemplified in Fig. 3. The appropriate leading-power approximation for the hard scattering now neglects the transverse momenta of the incoming partons kAk_{A} and kBk_{B}, as well as their virtuality. Each collinear pdf f(x)f(x) is therefore defined with an integral over transverse momentum, and therefore depends kinematically only on the longitudinal momentum fraction xx of the parton.

Refer to caption
Figure 3: Example of structure giving Drell-Yan at large qTq_{\text{T}}.

The collinear approximation involves neglecting small transverse momenta of the incoming partons in comparison with qTq_{\text{T}}, as well as neglecting their virtualities. Therefore the approximation completely breaks down once qTq_{\text{T}} is of order a typical transverse momentum for the partons entering the hard scattering. A symptom of the breakdown is the well-known strong singularity at qT=0q_{\text{T}}=0 of fixed-order calculations of the Drell-Yan cross section.

Next we turn to the cross section integrated over qTq_{\text{T}}. Here one must include all the contributions at low qTq_{\text{T}}. But now the collinear approximation remains valid, unlike the TMD case. In graphs like Fig. 1, the collinear approximation ignores the partonic kTk_{\text{T}} in the hard scattering, which shifts the virtual photon’s transverse momentum to zero from its true value. But since this is just a shift, it leaves the integral over qTq_{\text{T}} unchanged, to leading power in the large scale QQ. Thus although collinear factorization is incorrect at low qTq_{\text{T}} for the distribution in qTq_{\text{T}}, it is nevertheless valid for the integral over qTq_{\text{T}}.

II.3 Error sizes

The qualitative behavior of the fractional errors in TMD and collinear factorization is shown in Fig. 4. TMD factorization is accurate at low qTq_{\text{T}} up to relative errors suppressed by a power of 1/Q1/Q, but it is totally inaccurate at qTq_{\text{T}} of order QQ. Collinear factorization for the qTq_{\text{T}} distribution has the opposite behavior.

Refer to caption
Figure 4: Qualitative behavior of fractional errors in TMD and collinear factorization as a function of qTq_{\text{T}}, at fairly low QQ.

III CSS’s W+YW+Y method to combine TMD and collinear factorization

CSS implemented the combination of TMD and collinear factorization by

dσd4q=W+Y+error,\frac{\mathop{\mathrm{d}\mskip-0.59999mu\sigma}\nolimits}{\mathop{\mathrm{d}^{4}\mskip-0.59999muq}\nolimits}=W+Y+\mbox{error}, (2)

where WW is the TMD factorized form

W=σ0H(Q/μ)d2𝒃Tei𝒒T𝒃Tf~(xA,𝒃T;μ,Q)f~(xB,𝒃T;μ,Q),W=\sigma_{0}H(Q/\mu)\int\mathop{\mathrm{d}^{2}\mskip-0.59999mu\boldsymbol{b}_{\text{T}}}\nolimits e^{i\boldsymbol{q}_{\text{T}}\cdot\boldsymbol{b}_{\text{T}}}\\ \tilde{f}(x_{A},\boldsymbol{b}_{\text{T}};\mu,Q)\tilde{f}(x_{B},\boldsymbol{b}_{\text{T}};\mu,Q), (3)

and YY is a collinear correction term

Y=collinear approx. to(dσd4qW).Y=\mbox{collinear approx.\ to}\left(\frac{\mathop{\mathrm{d}\mskip-0.59999mu\sigma}\nolimits}{\mathop{\mathrm{d}^{4}\mskip-0.59999muq}\nolimits}-W\right). (4)

In WW, the convolution over the two TMD pdfs is rewritten as a Fourier transform over a transverse position variable 𝒃T\boldsymbol{b}_{\text{T}}.

The errors in WW and YY caused by the approximations in the derivations can be estimated as:

W=dσd4q{1+O[(ΛQ)a]+O[(qTQ)a]}W=\frac{\mathop{\mathrm{d}\mskip-0.59999mu\sigma}\nolimits}{\mathop{\mathrm{d}^{4}\mskip-0.59999muq}\nolimits}\left\{1+O\mathopen{}\left[\left(\frac{\Lambda}{Q}\right)^{a}\right]+O\mathopen{}\left[\left(\frac{q_{\text{T}}}{Q}\right)^{a}\right]\right\} (5)

for WW when qTQq_{\text{T}}\lesssim Q,

Y=(dσd4qW){1+O[(ΛqT)a]+O[(ΛQ)a]}Y=\left(\frac{\mathop{\mathrm{d}\mskip-0.59999mu\sigma}\nolimits}{\mathop{\mathrm{d}^{4}\mskip-0.59999muq}\nolimits}-W\right)\left\{1+O\mathopen{}\left[\left(\frac{\Lambda}{q_{\text{T}}}\right)^{a}\right]+O\mathopen{}\left[\left(\frac{\Lambda}{Q}\right)^{a}\right]\right\} (6)

for YY when ΛqTQ\Lambda\lesssim q_{\text{T}}\lesssim Q. Here aa is some fixed positive number determined by QCD and the power-law errors in the approximations used in deriving factorization. To these errors are to be added truncation errors of perturbative calculations. Hence the error in Eq. (2) is estimated to be a uniform power of 1/Q1/Q by

error=dσd4qWY=dσd4q×O[(ΛQ)a]\mbox{error}=\frac{\mathop{\mathrm{d}\mskip-0.59999mu\sigma}\nolimits}{\mathop{\mathrm{d}^{4}\mskip-0.59999muq}\nolimits}-W-Y=\frac{\mathop{\mathrm{d}\mskip-0.59999mu\sigma}\nolimits}{\mathop{\mathrm{d}^{4}\mskip-0.59999muq}\nolimits}\times O\mathopen{}\left[\left(\frac{\Lambda}{Q}\right)^{a}\right] (7)

over the range ΛqTQ\Lambda\lesssim q_{\text{T}}\lesssim Q. As one increases qTq_{\text{T}} from order Λ\Lambda, the deviation of WW from the cross section increases. But a collinear approximation can be applied to this deviation. As qTq_{\text{T}} increases the deviation becomes larger, while its collinear approximation becomes better, in proportion.

It is very important that the stated error estimate for TMD factorization applies only when qTQq_{\text{T}}\lesssim Q, and can completely fail for higher qTq_{\text{T}}. Similarly the stated error for collinear factorization applies only when qTΛq_{\text{T}}\gtrsim\Lambda, and can completely fail at lower qTq_{\text{T}}.

IV What is problematic with the original W+YW+Y formulation?

Boglione et al. (2015a, b) have found particular difficulties with implementing CSS’s W+YW+Y method in SIDIS at moderately low energies. These are illustrated in Fig. 5, for SIDIS at Q=10GeVQ=10\,\mathrm{GeV} at HERA. The solid line is the NLO calculation from collinear factorization. It shows the decrease of the cross section with hadron transverse PTP_{\text{T}} that QCD predicts at the larger values of PTP_{\text{T}}. But the NLO curve diverges as PT0P_{\text{T}}\to 0, where fixed-order calculations in collinear factorization are totally inaccurate.

Refer to caption
Figure 5: From Fig. 3 of Ref. Boglione et al. (2015b), for SIDIS at HERA at Q=10GeVQ=10\,\mathrm{GeV}, with PTP_{\text{T}} being the transverse momentum of the detected hadron in the γN\gamma^{*}N frame. Some values (NLO and WW) become negative at when PTP_{\text{T}} is increased enough; for these, the absolute values are plotted.

The dotted curve shows the WW term, i.e., the result of TMD factorization, with fits to data determining the non-perturbative part of the TMD functions and their evolution. At small enough PTP_{\text{T}}, it should be a good approximation by itself for the cross section.

The asymptotic low qTq_{\text{T}} part of the NLO collinear-factorization term is given by the dashed curve labeled “ASY”. This reproduces the NLO calculation at low PTP_{\text{T}}, but deviates from it substantially as PTP_{\text{T}} increases. The deviation becomes substantial at quite a large factor below QQ, which shows that there is a substantial numerical degradation of the simplest error estimates that were given in Sec. III. The ASY term goes through zero at around 1.7GeV1.7\,\mathrm{GeV} and then becomes negative.

Since the basic low PTP_{\text{T}} asymptote has a logarithm: αsln(Q/PT)/PT2\alpha_{s}\ln(Q/P_{\text{T}})/P_{\text{T}}^{2}, the negative values are expected, and are in a region where the asymptotic calculation is inapplicable. The bothersome issue is that the inapplicability happens at what appears to be a surprisingly low PTP_{\text{T}} compared with QQ. Similarly WW goes through zero; this is also expected. The principle of the CSS method is that there should be a region of intermediate PTP_{\text{T}} or qTq_{\text{T}} where neither TMD nor collinear factorization is completely degraded in accuracy, at least for high QQ. In this case, the large PTP_{\text{T}} part of the TMD factorization and the low PTP_{\text{T}} part of collinear factorization should approximately match. But this does not happen in Fig. 5. Furthermore the zeros in WW and ASY happen at quite different PTP_{\text{T}}.

The YY term is the difference between the fixed-order collinear calculation, in this case NLO, and its small-PTP_{\text{T}} asymptotic ASY. CSS intended this to correct TMD factorization to collinear factorization at large qTq_{\text{T}} or PTP_{\text{T}}. It is calculated to be small when PTP_{\text{T}} is small, as it should be. But it quickly becomes much larger than the presumably approximately correct NLO estimate for the cross section, which rather invalidates its use as a correction.

These plots suggest some ideas for improving the W+YW+Y method.

Perhaps the most important practical problem is that the TMD term, WW, goes negative at large PTP_{\text{T}}. This indicates that at large PTP_{\text{T}}, W+YW+Y is the difference between substantially larger terms, and therefore shows a strong magnification of the relative effects of truncation errors in the predicted perturbative parts of the cross section.

Associated with this is that the integral over WW is exactly zero. This is because in bTb_{\text{T}}-space, the evolution equations show that the integrand is zero: W~(bT)=0\tilde{W}(b_{\text{T}})=0.

From these properties arises a severe problem in getting the integral over qTq_{\text{T}} of the W+YW+Y formula in Eq. (2) to agree with the collinear factorization results

  • On the left-hand side, the integral d2𝒒Tdσd4q\int\mathop{\mathrm{d}^{2}\mskip-0.59999mu\boldsymbol{q}_{\text{T}}}\nolimits\ifrac{\mathop{\mathrm{d}\mskip-0.59999mu\sigma}\nolimits}{\mathop{\mathrm{d}^{4}\mskip-0.59999muq}\nolimits} is given by collinear factorization starting at LO, i.e., αs0\alpha_{s}^{0}, up to a power-suppressed error. Fixed-order calculations of the hard scattering are appropriate.

  • On the right-hand side, the integral of WW is zero. So the integral of the right-hand side is the integral of YY plus the error term.

  • But YY is obtained from collinear factorization starting at NLO, i.e., αs1\alpha_{s}^{1}.

If we used a fixed order of collinear factorization, there is a mismatch of orders of αs\alpha_{s}, and this results in complete mismatch of sizes even at the highest QQ. Recall that the elementary derivation of the W+YW+Y formula concerned the errors at intermediate qTq_{\text{T}} and did not concern itself explicitly with the integral over qTq_{\text{T}}.

As regards the integral over all qTq_{\text{T}}, we deduce that either we need resummation of YY to handle the problem, or the error term is intrinsically very large, or both. The knowledge that nevertheless fixed-order calculations with collinear factorization are completely appropriate for the integrated cross section motivates part of our method for improving the W+YW+Y method.

V Our new proposal

We modify WW in two ways, as exhibited in our formula for a modified WW term:

WNew=Ξ(qTQ)d2𝒃T(2π)2ei𝒒T𝒃TW~(bc(bT),Q).W_{\rm New}=\Xi\mathopen{}\left(\frac{q_{\text{T}}}{Q}\right)\int\frac{\mathop{\mathrm{d}^{2}\mskip-0.59999mu\boldsymbol{b}_{\text{T}}}\nolimits}{(2\pi)^{2}}e^{i\boldsymbol{q}_{\text{T}}\cdot\boldsymbol{b}_{\text{T}}}\tilde{W}(b_{c}(b_{\text{T}}),Q). (8)

First, to avoid problems in d2𝒒TWNew\int\mathop{\mathrm{d}^{2}\mskip-0.59999mu\boldsymbol{q}_{\text{T}}}\nolimits W_{\rm New}, we provide the W~\tilde{W} function with a smooth cutoff at small bTb_{\text{T}}:

bc(bT)=bT2+const/Q2.b_{c}(b_{\text{T}})=\sqrt{b_{\text{T}}^{2}+\mbox{const}/Q^{2}}. (9)

The integral of (8) over qTq_{\text{T}} is now given by W~(bT)\tilde{W}(b_{\text{T}}) at bTb_{\text{T}} of order 1/Q1/Q. This is correctly predicted by fixed-order collinear factorization, and agrees with collinear factorization for the integrated cross section at leading order. Higher-order terms bring in the integral of our correspondingly modified YY term, with well-behaved collinear expansions. This prescription is close to that of Bozzi et al. (2006). Their prescription was formulated purely in terms of resummation calculations in massless QCD. Our solution applies to full TMD factorization. The function W~(b,Q)\tilde{W}(b,Q) has the same functional form as before, and involves exactly the same TMD pdfs and evolution equations; the modification consists in changing the value used for the transverse position argument in the Fourier transform, from bTb_{\text{T}} to bc(bT)b_{c}(b_{\text{T}}). At low qTq_{\text{T}}, larger values of bTb_{\text{T}} than 1/Q1/Q dominate, and then the cutoff at small bTb_{\text{T}} is unimportant; thus the validity of TMD factorization in its target region of qTQq_{\text{T}}\ll Q is unaffected.

The second change is to impose an explicit cutoff at large qTq_{\text{T}} cutoff, by a factor

Ξ(qTQ)=exp[(qTconst.Q)const.].\Xi\mathopen{}\left(\frac{q_{\text{T}}}{Q}\right)=\exp\left[-\left(\frac{q_{T}}{\mbox{const.}Q}\right)^{\rm{const.}}\right]. (10)

This keeps the modified WW term from being significantly nonzero at such large qTq_{\text{T}} that TMD factorization is totally inapplicable.

Correspondingly, to implement a correct matching, we modify YY to

YNew=X(qT)×collinear approx. to(dσd4qWNew)Y_{\rm New}=X(q_{\text{T}})\times\mbox{collinear approx.\ to}\left(\frac{\mathop{\mathrm{d}\mskip-0.59999mu\sigma}\nolimits}{\mathop{\mathrm{d}^{4}\mskip-0.59999muq}\nolimits}-W_{\rm New}\right) (11)

The second factor is the basic implementation of matching of TMD and collinear factorization. But we impose an extra qTq_{\text{T}} cutoff factor, for example

X(qT/λ)=1exp{(qT/const.)const.}.X(q_{\text{T}}/\lambda)=1-\exp\left\{-(q_{\text{T}}/\mbox{const.})^{\mbox{const.}}\right\}. (12)

The reason for the extra cutoffs on WW at large qTq_{\text{T}} and on YY at small qTq_{\text{T}} is found in the derivation of the errors in Sec. III. That error calculation is only valid when ΛqTQ\Lambda\lesssim q_{\text{T}}\lesssim Q. Below that range, we should use only the TMD factorization term WW, i.e., YY should then be close to zero. Above that range, we should only use collinear factorization, so WW should then be close to zero.

VI Conclusions

We modified the W+YW+Y formalism, so that

  • The error in W+YW+Y is suppressed by a power of QQ for all qTq_{\text{T}}.

  • The integral over all qTq_{\text{T}} is now properly behaved with respect to collinear factorization for the integrated cross section.

Further improvements are undoubtedly possible. We have tried to formulate some relevant issues. Generally, to do better, one needs to “look under hood”, to ask questions like:

  • What is the nature of the approximations giving factorization (TMD and collinear)?

  • How much do they fail, with proper account of non-perturbative properties?

These issues are important for subject of this conference, i.e., spin physics. This is because we often want to use TMD factorization at moderate QQ, notably in the measurement of transverse-spin-dependent TMD pdfs and fragmentation functions.

One important question for SIDIS, is to determine the appropriate criteria for what is large and small transverse momentum relative to QQ. Is the appropriate variable qTq_{\text{T}} or PTP_{\text{T}}? I.e., is it transverse momentum of the virtual photon relative to the detected hadrons, or is it the transverse-momentum of the detected final-state hadron relative to the γ\gamma^{*} and target? These two variables differ by a factor of the fragmentation variable zz. One can also ask whether that was even the right question.

It would also be useful to have the YY-term for SIDIS at NNLO, i.e., O(αs2)O(\alpha_{s}^{2}). This could be obtained from the results for collinear factorization for SIDIS at the same order, as reported by Daleo et al. Daleo et al. (2005), but we are not aware that this has been done yet.

Acknowledgements.
This work was supported by DOE contracts No. DE-AC05-06OR23177 (A.P., T.R., N.S., B.W.), under which Jefferson Science Associates, LLC operates Jefferson Lab, No. DE-FG02-07ER41460 (L.G.), and No. DE-SC0013699 (J.C.), and by the National Science Foundation under Contract No. PHY-1623454 (A.P.).

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