Lecture 2 Evolution and resummation

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Lecture 2 Evolution and resummation Hsiang-nan Li Oct. 19, 2012

Outlines Resummation technique kT resummation BFKL equation Threshold resummation DGLAP equation Joint resummation

Introduction Factorization introduces factorization scale into hard kernel and PDF Higher-order corrections produce due to splitting of log in F Set to eliminate log in H Need PDF inputs for arbitrary Q?

RG equations Factorization scale does not exist in QCD diagrams, but is introduced when physical quantity factorized into H and PDF Renormalization- group equations is anomalous dimension of PDF

RG evolution Solution of RG equations describes Q evolution of PDF Evolution from summation of just need to extract PDF at PDF at other Q is known via evolution Evolution increases predictive power of factorization theorem

Extreme kinematics QCD processes in extreme kinematic region, such as low pT and large x, generate double logs Limited phase space for real corrections Low pT jet, photon, W,… requires small pT real gluon emissions Top pair production requires large x pT

Double logs Large x demands soft real gluon emission Cancellation between virtual and real corrections is not exact Large double logs are produced, E being beam energy Sum logs to all orders---resummation Resummation improves perturbation x ~ 1 k ~ 0

Evolution and resummation RG evolution (UV dynamics) can be found in standard textbook Cover evolution equations involving splitting kernels (IR dynamics): DGLAP equation for PDF (collinear factorization), BFKL equation for TMD (kT factorization) Cover threshold resummation for large x (collinear factorization) and kT resummation for small kT (kT factorization)

Resummation technique

Jet function in covariant gauge Quark jet function at amplitude level NLO diagrams contain double logarithms Perform resummation in covariant gauge

Key idea Derive differential equation C contains only single logarithm Treat C by RG equation Solve differential equation, and solution resums double logarithms J depends on Lorentz invariants p.n, n^2 Feynman rules for Wilson lines show scale invariance in n, J must depend on

Derivative with respect to n Derivative with respect to p can be replaced by derivative with respect to n Collinear dynamics independent of n Variation does not contain collinear dynamics, the reason why C contains only single logarithm Variation effect can be factorized

Special vertex n appears only in Wilson lines If gluon momentum l parallel to p, v.l vanishes. Contraction of v with J, dominated by collinear dynamics, also vanishes

Soft factorization Two-loop diagrams as example If l flowing through special vertex is soft, but another is not, only 1st diagram dominates Another gluon with finite momentum smears soft divergence in other three diagrams

Soft kernel Factorizing the soft gluon with eikonal approximation If another gluon is also soft, we get two-loop soft kernel K

Hard factorization If l flowing through special vertex is hard, only 2nd diagram dominates, It suppresses others, as another gluon is not hard Factorize hard kernel with Fierz transformation If both gluons are hard, they contribute to two-loop hard kernel

Differential equation Extending the factorization to all orders Kernels K and G are described by At LO, K = G =

Integrals for kernels , additive counterterm

一石二鳥 Chinese saying: One stone, two birds

Goals of this lecture Now one stone, five birds: Dokshitzer-Gribov-Lipatov-Altarelli-Parisi (DGLAP) equation Threshold resummation Balitsky-Fadin-Kuraev-Lipatov (BFKL) equation kT resummation Joint resummation

Master equation for TMD Consider TMD Three scales: Derivative

Kernels (in axial gauge) Soft kernel K (virtual + real) Hard kernel G (virtual – soft subtraction)

kT resummation and BFKL equation

Rapidity ordering log log

Approximation under rapidity ordering TMD is independent of l+ under rapidity ordering. Soft approximation kT and lT are of the same order l+ integrated up to infinity, the scale does not exist Usually work in conjugate space in b via Fourier transformation

kT resummation Two scales Solution of resummation equation sums double logs of b Sudakov exponential Anomalous dimension

Direct photon Soft and collinear radiation at low pT

Direct photon before resum pT ~ few GeV pT > 20 GeV

Direct photon after kT resum Lai, Li, 1998

High pT data of direct photon Becher et al, 2012 threshold resum kT resum for low pT, threshold resum for high pT?

Small x At small x with Two scale system reduces to single-scale Consider gluon TMD,

BFKL equation Only soft scale exists. Drop G Keep soft kernel with a UV cutoff BFKL equation

Leading-log BFKL High-energy cross section predicted by LL BFKL Pomeron intercept Violate Froissart (unitarity) bound center-of-mass energy-squared momentum transfer squared

NLL BFKL Unsatisfactory prediction of LL BFKL called for NLL corrections---but too big Thorne, 1999

Threshold resummation and DGLAP equation

kT ordering log log

Approximation under kT ordering TMD is independent of lT under kT ordering Soft approximation x and l+/p+ are of the same order Integrate over kT, TMD -> PDF lT integrated up to infinity, the scale kT disappears

Threshold resummation At large x, two scales Mellin transformation Rewrite

Solution Solution of resummation equation sums double logs of N Equivalent expression

Top-quark pair production with NNLL threshold resummation Beneke et al., 2011

Determination of top mass

DGLAP equation Intermediate x, Single scale DGLAP equation z -> 1 limit of splitting kernel

Complete DGLAP kernels splitting kernels have been calculated to two loops

Valence quark LO evolution

Deuteron structure function Devee et al, 2012, NMC data

Joint resummation kT resummation Threshold resummation Li, 1999; Laenen et al., 2000 kT resummation Threshold resummation Same anomalous dimension Unification of the two resummations?

General soft approximation Keep both l+ and lT dependence Joint resummation Large b, joint kT resummation Large N, joint threshold resummation

Resummation effect threshold resummation appears Fuks, 2007

Resummation effect Debove et al, 2011

Summary Sophiscated evolution and resummation techniques have been developed in PQCD Predictive power enhanced Perturbation improved Precision increased Resummation of other logs need to be developed: rapidity logs, non-global logs,…