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5.03M
0704.0001
Pavel Nadolsky
C. Bal\'azs, E. L. Berger, P. M. Nadolsky, C.-P. Yuan
Calculation of prompt diphoton production cross sections at Tevatron and LHC energies
37 pages, 15 figures; published version
Phys.Rev.D76:013009,2007
10.1103/PhysRevD.76.013009
ANL-HEP-PR-07-12
hep-ph
null
A fully differential calculation in perturbative quantum chromodynamics is presented for the production of massive photon pairs at hadron colliders. All next-to-leading order perturbative contributions from quark-antiquark, gluon-(anti)quark, and gluon-gluon subprocesses are included, as well as all-orders resummation of initial-state gluon radiation valid at next-to-next-to-leading logarithmic accuracy. The region of phase space is specified in which the calculation is most reliable. Good agreement is demonstrated with data from the Fermilab Tevatron, and predictions are made for more detailed tests with CDF and DO data. Predictions are shown for distributions of diphoton pairs produced at the energy of the Large Hadron Collider (LHC). Distributions of the diphoton pairs from the decay of a Higgs boson are contrasted with those produced from QCD processes at the LHC, showing that enhanced sensitivity to the signal can be obtained with judicious selection of events.
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2008-11-26
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arXiv:0704.0001v2 [hep-ph] 24 Jul 2007 ANL-HEP-PR-07-12, arXiv:0704.0001 Cal ulation of prompt diphoton pro du tion ross se tions at T ev atron and LHC energies C. Balázs1 ,∗ E. L. Berger1 ,† P . Nadolsky1 ,‡ and C.-P . Y uan2§ 1 High Ener gy Physi s Division, A r gonne National L ab or atory, A r gonne, IL 60439 2 Dep artment of Physi s and Astr onomy, Mi higan State University, East L ansing, MI 48824 (Dated: Ma y 3, 2007) Abstra t A fully dieren tial al ulation in p erturbativ e quan tum hromo dynami s is presen ted for the pro du tion of massiv e photon pairs at hadron olliders. All next-to-leading order p erturbativ e on tributions from quark-an tiquark, gluon-(an ti)quark, and gluon-gluon subpro esses are in luded, as w ell as all-orders resummation of initial-state gluon radiation v alid at next-to-next-to-leading logarithmi a ura y . The region of phase spa e is sp e ied in whi h the al ulation is most reliable. Go o d agreemen t is demonstrated with data from the F ermilab T ev atron, and predi tions are made for more detailed tests with CDF and DØ data. Predi tions are sho wn for distributions of diphoton pairs pro du ed at the energy of the Large Hadron Collider (LHC). Distributions of the diphoton pairs from the de a y of a Higgs b oson are on trasted with those pro du ed from QCD pro esses at the LHC, sho wing that enhan ed sensitivit y to the signal an b e obtained with judi ious sele tion of ev en ts. P A CS n um b ers: 12.15.Ji, 12.38 Cy , 13.85.Qk Keyw ords: prompt photons; all-orders resummation; hadron ollider phenomenology; Higgs b oson; LHC ∗ balazs hep.anl.go v; Curren t address: S ho ol of Ph ysi s, Monash Univ ersit y , Melb ourne VIC 3800, Australia † b erger anl.go v ‡ nadolsky hep.anl.go v § yuan pa.msu.edu 1 I. INTR ODUCTION The long-sough t Higgs b oson(s) h of ele tro w eak symmetry breaking in parti le ph ysi s ma y so on b e observ ed at the CERN Large Hadron Collider (LHC) through the diphoton de a y mo de (h →γγ ). Purely hadroni standard mo del pro esses are a opious sour e of diphotons, and a narro w Higgs b oson signal at relativ ely lo w masses will app ear as a small p eak ab o v e this onsiderable ba kground. A pre ise theoreti al understanding of the kinemati distributions for diphoton pro du tion in the standard mo del ould pro vide v aluable guidan e in the sear h for the Higgs b oson signal and assist in the imp ortan t measuremen t of Higgs b oson oupling strengths. In this pap er w e address the theoreti al al ulation of the in v arian t mass, transv erse mo- men tum, rapidit y , and angular distributions of on tin uum diphoton pro du tion in proton- an tiproton and proton-proton in tera tions at hadron ollider energies. W e ompute all on- tributions to diphoton pro du tion from parton-parton subpro esses through next-to-leading order (NLO) in p erturbativ e quan tum hromo dynami s (QCD). These higher-order on tri- butions are large at the LHC, and their in lusion is mandatory for quan titativ ely trust- w orth y predi tions. W e resum initial-state soft and ollinear logarithmi terms asso iated with gluon radiation to all orders in the strong oupling strength αs . This resummation is essen tial for ph ysi ally meaningful predi tions of the transv erse momen tum (QT ) distri- bution of the diphotons at small and in termediate v alues of QT , where the ross se tion is large. In addition, w e analyze the nal-state ollinearly-enhan ed on tributions, also kno wn as `fragmen tation' on tributions, in whi h one or b oth photons are radiated from nal-state partoni onstituen ts. W e ompare the results of our al ulations with data on isolated diphoton pro du tion from the F ermilab T ev atron [1℄. The go o d agreemen t w e obtain with the T ev atron data adds onden e to our predi tions at the energy of the LHC. The presen t w ork expands on our re en t abbreviated rep ort [2℄, and it ma y b e read in onjun tion with our detailed treatmen t of the on tributions from the gluon-gluon subpro ess [3℄. Our atten tion is fo used on the pro du tion of isolated photons, i.e., high-energy photons observ ed at some distan e from appre iable hadroni remnan ts in the parti le dete tor. The rare isolated photons tend to originate dire tly in hard QCD s attering, in on trast to opiously pro du ed non-isolated photons that arise from nonp erturbativ e pro esses su h as π and η de a ys, or from via quasi- ollinear radiation o nal-state quarks and gluons. W e ev aluate on tributions to on tin uum diphoton pro du tion from the basi short- distan e hannels for γγ pro du tion initiated b y quark-an tiquark and (an ti)quark-gluon s attering, as w ell as b y gluon-gluon and gluon-(an ti)quark s attering pro eeding through a fermion-lo op diagram. A t lo w est order in QCD, a photon pair is pro du ed from q ̄ q anni- hilation [Fig. 1 (a)℄. Represen tativ e next-to-leading order (NLO) on tributions to q ̄ q + qg s attering are sho wn in Fig. 1 (b)-(e). They are of O(αs) in the strong oupling strength [4, 5℄. Pro du tion of γγ pairs via a b o x diagram in gg s attering [Fig. 1 (h)℄ is suppressed b y t w o p o w ers of αs ompared to the lo w est-order q ̄ q on tribution, but it is enhan ed b y a pro du t of t w o large gluon parton distribution fun tions (PDF s) if t ypi al momen tum fra tions x are small [6℄. The O(α3 s) or NLO orre tions to gg s attering in lude one-lo op gg →γγg diagrams (i) and (j) deriv ed in Ref. [7, 8℄, as w ell as 4-leg t w o-lo op diagrams (l) omputed in Ref. [9, 10 ℄. In this study w e also in lude subleading on tributions from the pro ess (k), gqS →γγqS via the quark lo op, where qS = P i=u,d,s,...(qi + ̄ qi) denotes the a v or-singlet om bination of quark s attering hannels. 2 Direct γγ production Single−photon fragmentation +... (a) (b) (c) (d) (e) (f) (g) (h) (i) (j) (k) (l) Figure 1: Represen tativ e partoni subpro esses that on tribute to on tin uum diphoton pro du tion. All leading-order and next-to-leading order dire t pro du tion subpro esses, i.e., on tributions (a)- (e) and (h)-(l), are in luded in this study . Diagrams (f ) and (g) are examples of single-photon one- and t w o-fragmen tation. F a torization is a en tral prin iple of hadroni al ulations in p erturbativ e QCD, in whi h a high-energy s attering ross se tion is expressed as a on v olution of a p erturbativ e partoni ross se tion with nonp erturbativ e parton distribution fun tions (PDF s), th us separating short-distan e from long-distan e ph ysi s. The ommon fa torization is a longitudinal no- tion, in the sense that the on v olution is an in tegral o v er longitudinal momen tum fra tions, ev en if some partons in the hard-s attering pro ess ha v e transv erse momen ta that b order the nonp erturbativ e regime. Unph ysi al features ma y then arise in the transv erse momen tum (QT ) distribution of a olor-neutral ob je t with high in v arian t mass (Q ), su h as a pair of photons pro du ed in hadron-hadron ollisions. When al ulated in the ommon fa torization approa h at an y nite order in p erturbation theory , this distribution div erges as QT →0 , signaling that infrared singularities asso iated with QT →0 ha v e not b een prop erly iso- lated and regulated. These singularities are asso iated with soft and ollinear radiation from initial-state partons sho wn b y the diagrams in Figs. 1 (b), (d), and (i). A generalized fa torization approa h that orre tly des rib es the small-QT region w as dev elop ed b y Collins, Sop er, and Sterman (CSS) [11℄ and applied to photon pair pro du - tion [7, 12 , 13 ℄. In this approa h the hadroni ross se tion is expressed as an in tegral o v er the transv erse o ordinate (impa t parameter). The in tegrable singular fun tions presen t in the nite-order dieren tial distribution as QT →0 are resummed, to all orders in the strong oupling αs , in to a Sudak o v exp onen t, and a w ell-b eha v ed ross se tion is obtained for all QT v alues. As explained in Se . I I, our resummed al ulation is a urate to next-to- next-to-leading-logarithmi (NNLL) order. It is appli able for v alues of diphoton transv erse momen tum that are less than the diphoton mass, i.e., for QT < Q . When QT ∼Q , terms of the form lnn(QT/Q) b e ome small. A p erturbativ e expansion with a single hard s ale is then appli able, and the ross se tion an b e obtained from nite-order p erturbation theory . 3 In addition to the initial-state logarithmi singularities, there is a set of imp ortan t nal- state singularities whi h arise in the matrix elemen ts when at least one photon's momen tum is ollinear to the momen tum of a nal-state parton. They are sometimes referred to as `fragmen tation' singularities. A t lo w est order in αs , the nal-state singularit y app ears only in the qg →γγq diagrams, as in Fig. 1 (e). There are v arious metho ds used in the literature to deal with the nal-state singularit y , in luding the in tro du tion of expli it fragmen tation fun tions Dγ(z) for hard photon pro du tion, where z is the ligh t- one fra tion of the in terme- diate parton's momen tum arried b y the photon. These single-photon one-fragmen tation and t w o-fragmen tation on tributions, orresp onding to one or b oth photons pro du ed in indep enden t fragmen tation pro esses, are illustrated b y the diagrams in Figs. 1 (f ) and (g). In addition, a fragmen tation on tribution of en tirely dieren t nature arises when the γγ pair is relativ ely ligh t and pro du ed from fragmen tation of one parton, as dis ussed in Se s. I I C 2 and I I I A 3. A full and onsisten t treatmen t of the nal-state logarithms b ey ond lo w est order w ould require a join t resummation of the initial- and nal-state logarithmi singularities. In the w ork rep orted here, w e are guided b y our in terest in des ribing the ross se tion for isolate d photons, in whi h the fragmen tation on tributions are largely suppressed. A t ypi al isolation ondition requires the hadroni a tivit y to b e minimal (e.g., omparable to the underlying ev en t) in the immediate neigh b orho o d of ea h andidate photon. Candidate photons an b e reje ted b y energy dep osit nearb y in the hadroni alorimeter or the presen e of hadroni tra ks near the photons. A theory al ulation ma y appro ximate the exp erimen tal isolation b y requiring the full energy of the hadroni remnan ts to b e less than a threshold isolation energy Eiso T in a one of size ∆R around ea h photon. The t w o photons m ust b e also separated in the plane of the rapidit y η and azim uthal angle φ b y an amoun t ex eeding the resolution ∆Rγγ of the dete tor. The v alues of Eiso T , ∆R , and ∆Rγγ serv e as rude hara teristi s of the a tual measuremen t. The magnitude of the nal-state fragmen tation on tribution dep ends on the assumed v alues of Eiso T , ∆R , and ∆Rγγ . An additional ompli ation arises when the fragmen tation radiation is assumed to b e exa tly ollinear to the photon's momen tum, as implied b y the photon fragmen tation fun - tions Dγ(z). The ollinear appro ximation onstrains from b elo w the v alues of z a essible to Dγ(z): z > zmin . The size of the fragmen tation on tribution ma y dep end strongly on the v alues of Eiso T and zmin as a onsequen e of rapid v ariation of Dγ(z) with z . In our w ork w e treat the nal-state singularit y using a pres ription that repro du es desir- able features of the isolated ross se tions while b ypassing some of the te hni al di ulties alluded to ab o v e. F or QT > Eiso T , w e a v oid the nal-state ollinear singularit y in the qg s attering hannel b y applying quasi-exp erimen tal isolation. When QT < Eiso T , w e apply an auxiliary regulator whi h appro ximates on a v erage the full NLO rate from dire t qg and fragmen tation ross se tions in this QT range. T w o pres riptions for the auxiliary regulator (subtra tion and smo oth- one isolation inside the photon's isolation one) are onsidered and lead to similar predi tions at the T ev atron and the LHC. W e b egin with our notation in Se . I I A , follo w ed b y an o v erview of the pro edure for resummation of initial-state m ultiple parton radiation in Se . I I B . The issue of the nal- state fragmen tation singularit y is dis ussed in Se . I I C . Our approa h is ompared with that of the DIPHO X al ulation [14℄, in whi h expli it fragmen tation fun tion on tributions are in luded at NLO, but all-orders resummation is not p erformed. Our theoreti al framew ork is summarized in Se . I I D. In Se . I I I w e ompare the predi tions of our resummation al ulation with T ev atron 4 data. Resummation is sho wn to b e imp ortan t for the su essful des ription of ph ysi al QT distributions, as w ell as for stable estimates of the ee ts of exp erimen tal a eptan e on distributions in the diphoton in v arian t mass. W e ompare our results with the DIPHO X al ulation [14℄ and demonstrate that the requiremen t QT < Q further suppresses the ee ts of the nal-state fragmen tation on tribution, b ey ond the redu tion asso iated with isolation. Next, w e presen t our predi tions for distributions of diphoton pairs pro du ed at the energy of the LHC. V arious distributions of the diphoton pairs pro du ed from the de a y of a Higgs b oson are on trasted with those pro du ed from QCD on tin uum pro esses at the LHC, sho wing that enhan ed sensitivit y to the signal an b e obtained with judi ious ev en t sele tion. Our on lusions are presen ted in Se . IV . I I. THEOR Y O VER VIEW A. Notation W e onsider the s attering pro ess h1(P1) + h2(P2) →γ(P3) + γ(P4) + X , where h1 and h2 are the initial-state hadrons. In terms of the en ter-of-mass ollision energy √ S , the in v arian t mass Q, transv erse momen tum QT , and rapidit y y of the γγ pair, the lab oratory frame momen ta P μ 1 and P μ 2 of the initial hadrons and qμ ≡P μ 3 + P μ 4 of the γγ pair are P μ 1 = √ S 2 {1, 0, 0, 1}; (1) P μ 2 = √ S 2 {1, 0, 0, −1} ; (2) qμ = q Q2 + Q2 T cosh y, QT, 0, q Q2 + Q2 T sinh y  . (3) The ligh t- one momen tum fra tions for the b o osted 2 →2 s attering system are x1,2 ≡2(P2,1 * q) S = p Q2 + Q2 Te±y √ S . (4) De a y of the γγ pairs is des rib ed in the hadroni Collins-Sop er frame [15℄. The Collins- Sop er frame is a rest frame of the γγ pair (with qμ = {Q, 0, 0, 0} in this frame), hosen so that (a) the momen ta ⃗ P1 and ⃗ P2 of the initial hadrons lie in the Oxz plane (with zero azim uthal angle), and (b) the z axis bise ts the angle b et w een ⃗ P1 and −⃗ P2 . The photon momen ta are an tiparallel in the Collins-Sop er frame: P μ 3 = Q 2 {0, sin θ∗cos φ∗, sin θ∗sin φ∗, cos θ∗} , (5) P μ 4 = Q 2 {0, −sin θ∗cos φ∗, −sin θ∗sin φ∗, −cos θ∗} , (6) where θ∗ and φ∗ are the photon's p olar and azim uthal angles. In this se tion, w e deriv e resummed predi tions for the fully dieren tial γγ ross se tion dσ/(dQ2dydQ2 TdΩ∗), where dΩ∗= d cos θ∗dφ∗ is a solid angle elemen t around the dire tion of ⃗ P3 in the Collins-Sop er frame dened in Eq. (5). The angles in the Collins-Sop er frame are denoted b y a ∗ subs ript, in on trast to angles in the lab frame, whi h do not ha v e su h a subs ript. The parton momen ta and heli ities are denoted b y lo w er ase pi and λi , resp e tiv ely . 5 B. Resummation of the initial-state QCD radiation F or ompleteness, w e presen t an o v erview of the nite-order and resummed on tributions asso iated with the dire t pro du tion of diphotons. A t the lo w est order in the strong oupling strength αs , photon pairs are pro du ed with zero transv erse momen tum QT . The Born q ̄ q →γγ ross se tion orresp onding to Fig. 1 (a) is dσq ̄ q dQ2dy dQ2 TdΩ∗ Born = δ( ⃗ QT) X i=u, ̄ u,d, ̄ d,... Σi(θ∗) S fqi/h1(x1, μF)f ̄ qi/h2(x2, μF), (7) where fqi/h(x, μF) denotes the parton distribution fun tion (PDF) for a quark of a a v or i , ev aluated at a fa torization s ale μF of order Q . The prefa tor Σi(θ∗) ≡σ(0) i 1 + cos2 θ∗ 1 −cos2 θ∗ , (8) with σ(0) i ≡α2(Q)e4 i π 2NcQ2 , (9) is omp osed of the running ele tromagneti oupling strength α ≡e2/4π ev aluated at the s ale Q , fra tional quark harge ei = 2/3 or −1/3 , and n um b er of QCD olors Nc = 3. The lo w est-order gg →γγ s attering pro eeds through an amplitude with a virtual quark lo op (a b o x diagram) sho wn in Fig. 1 (h). Its ross se tion tak es the form dσgg dQ2dy dQ2 TdΩ∗ Born = δ( ⃗ QT)Σg(θ∗) S fg/h1(x1, μF)fg/h2(x2, μF), (10) where the prefa tor Σg(θ∗) ≡σ(0) g Lg(θ∗) (11) dep ends on the p olar angle θ∗ through a fun tion Lg(θ∗) presen ted expli itly in Ref. [3℄. The o v erall normalization o e ien t σ(0) g = α2(Q)α2 s(Q) 32πQ2(N2 c −1) X i e2 i !2 (12) in v olv es the sum of the squared harges e2 i of the quarks ir ulating in the lo op. The NLO dire t on tributions, represen ted b y Figs. 1 (b)-(e), (i)-(l) and denoted as P(Q, QT, y, Ω∗), are omputed in Refs. [3, 4 , 5, 7 , 8, 9, 10 ℄. The NLO 2 →3 dieren- tial ross se tion gro ws logarithmi ally if the nal-state parton is soft or ollinear to the initial-state quark or gluon, i.e., when QT of the γγ pair is m u h smaller than Q . These initial-state logarithmi on tributions are summed to all orders later in this subse tion. The NLO qg ross se tion also on tains a large logarithm when one of the photons is pro- du ed from a ollinear q (−) →q (−)γ splitting in the nal state. This nal-state ollinear limit is dis ussed in Se tion I I C . 6 With on tributions from the initial-state soft or ollinear radiation in luded, the NLO ross se tion is appro ximated in the small-QT asymptoti limit b y Aq ̄ q(Q, QT, y, Ω∗) = X i=u, ̄ u,d, ̄ d,... Σi(θ∗) S n δ( ⃗ QT)Fi,δ(Q, y, θ∗) + Fi,+(Q, y, QT) o (13) in the q ̄ q + qg s attering hannel, and b y Agg(Q, QT, y, Ω∗) = 1 S  Σg(θ∗) h δ( ⃗ QT)Fg,δ(Q, y, θ∗) + Fg,+(Q, y, QT) i +Σ′ g(θ∗, φ∗)F ′ g(Q, y, QT)  (14) in the gg+gqS s attering hannel. The fun tions Fa,δ(Q, y, θ∗) and F (′) a,+(Q, y, QT) for relev an t parton a v ors a are listed in App endix B . They in lude `plus fun tion' on tributions of the t yp e  Q−2 T lnp (Q2/Q2 T)  + with p ≥0 , univ ersal fun tions des ribing soft and ollinear s attering, and pro ess-dep enden t orre tions from NLO virtual diagrams. The q ̄ q + qg asymptoti ross se tion Aq ̄ q(Q, QT, y, Ω∗) is prop ortional to the angular fun tion Σi(θ∗), the same as in the Born q ̄ q →γγ ross se tion, f. Eq. (7 ). Similarly , the gg +gqS asymptoti ross se tion Agg(Q, QT, y, Ω∗) in ludes a term prop ortional to the Born angular fun tion Σg(θ∗). In addition, Agg(Q, QT, y, Ω∗) on tains another term prop ortional to Σ′ g(θ∗, φ∗) ≡L′ g(θ∗) cos 2φ∗ , where L′ g(θ∗) is deriv ed in Ref. [3℄. This term arises due to the in terferen e of Born amplitudes with in oming gluons of opp osite p olarizations and ae ts the azim uthal angle (φ∗ ) distribution of the photons in the Collins-Sop er frame [3℄. The small-QT represen tations in Eqs. (13) and (14) an b e used to ompute xed-order parti le distributions in the phase-spa e sli ing metho d. In this metho d, w e ho ose a small QT v alue Qsep T in the range of v alidit y of Eqs. (13) and (14). If the a tual QT in the omputation ex eeds Qsep T , w e al ulate the dieren tial ross se tion using the full 2 →3 matrix elemen t. When QT is smaller than Qsep T , w e al ulate the ev en t rate using the small- QT asymptoti appro ximation A(Q, QT, y, Ω∗) and 2 →2 phase spa e. Hen e, the lo w est bin of the QT distribution is appro ximated in the NLO predi tion b y its aver age v alue in the in terv al 0 ≤QT ≤Qsep T , omputed b y in tegration of the asymptoti appro ximations. The phase-spa e sli ing pro edure is su ien t for predi tions of observ ables in lusiv e in QT , but not of the shap e of dσ/dQT distributions. The latter goal is met b y all-orders summa- tion of singular asymptoti on tributions with the help of the Collins-Sop er-Sterman (CSS) metho d [11, 16 , 17℄. The small-QT resummed ross se tion is denoted as W(Q, QT, y, Ω∗) and giv en b y a t w o-dimensional F ourier transform of a fun tion f W(Q, b, y, Ω∗) that dep ends on the impa t parameter ⃗ b : W(Q, QT, y, Ω∗) = Z d⃗ b (2π)2ei ⃗ QT *⃗ bf W(Q, b, y, Ω∗) ≡ Z d⃗ b (2π)2ei ⃗ QT *⃗ bf Wpert(Q, b∗, y, Ω∗)e−FNP (Q,b). (15) In this equation, f W(Q, b, y, Ω∗) is written as a pro du t of the p erturbativ e part f Wpert(Q, b∗, y, Ω∗) and the nonp erturbativ e exp onen t exp (−FNP(Q, b)) , whi h des rib e the 7 dynami s at small (b ≲1 Ge V−1 ) and large (b ≳1 Ge V−1 ) impa t parameters, resp e tiv ely . The purp ose of the v ariable b∗ is review ed b elo w. If Q is large, the p erturbativ e form fa tor f Wpert dominates the in tegral in Eq. (15 ). It is omputed at small b as f Wpert(Q, b, y, θ∗) = X a Σa(θ∗) S h2 a(Q, θ∗)e−Sa(Q,b) ×  Ca/a1 ⊗fa1/h1  (x1, b; μ)  C ̄ a/a2 ⊗fa2/h2  (x2, b; μ). (16) The hard-v ertex fun tion Σa(θ∗)h2 a(Q, θ∗) is the normalized ross se tion for the Born s at- tering a ̄ a →γγ , with a = u, ̄ u, d, ̄ d, ... in q ̄ q →γγ , and a = ̄ a = g in gg →γγ . The Sudak o v exp onen t Sa(Q, b) = Z C2 2Q2 C2 1/b2 d ̄ μ2 ̄ μ2  Aa (C1, ̄ μ) ln C2 2Q2 ̄ μ2  + Ba (C1, C2, ̄ μ)  (17) is an in tegral of t w o fun tions Aa (C1, ̄ μ) and Ba (C1, C2, ̄ μ) b et w een momen tum s ales C1/b and C2Q , and C1 and C2 are onstan ts of order c0 ≡2e−γE = 1.123... and 1 , resp e tiv ely . The sym b ol  Ca/a1 ⊗fa1/h  (x, b; μ) stands for a on v olution of the kT− in tegrated PDF fa1/h(x, μ) and Wilson o e ien t fun tion Ca/a1(x, b; C1/C2, μ), ev aluated at a fa torization s ale μ and summed o v er in termediate parton a v ors a1 :  Ca/a1 ⊗fa1/h  (x, b; μ) ≡ X a1 Z 1 x dξ ξ Ca/a1 x ξ , b; C1 C2 , μ  fa1/h(ξ, μ)  . (18) W e ompute the fun tions ha, Aa , Ba and Ca/a1 up to orders αs, α3 s, α2 s, and αs, resp e tiv ely , orresp onding to the NNLL a ura y of resummation. The p erturbativ e o e ien ts at these orders in αs are listed in App endix A. The subleading on tribution from the nonp erturbativ e region b ≳1 Ge V−1 is in luded in our al ulation using a revised b∗  mo del [18℄, whi h pro vides ex ellen t agreemen t with pT - dep enden t data on Drell-Y an pair and Z b oson pro du tion. In this mo del, the p erturbativ e form fa tor f Wpert(Q, b∗, y, Ω∗) in Eq. (15) is ev aluated as a fun tion of b∗≡b/(1+b2/b2 max)1/2, with bmax = 1.5 Ge V−1 . The fa torization s ale μ in [C ⊗f] is set equal to c0 p b−2 + Q2 ini , where Qini is the initial s ale of order 1 Ge V in the parameterization emplo y ed for fa/h(x, μ), for instan e, 1.3 Ge V for the CTEQ6 PDF s [19℄. W e ha v e f Wpert(b∗) = f Wpert(b) at b2 ≪b2 max, and f Wpert(b∗) = f Wpert(bmax) at b2 ≫b2 max . Hen e, this ansatz preserv es the exa t form of the p erturbativ e form fa tor f Wpert(Q, b, y, Ω∗) in the p erturbativ e region of small b , while also in orp orating the leading nonp erturbativ e on tributions (des rib ed b y a phenomenologi al fun tion FNP(Q, b)) at large b . The form of FNP(Q, b) found in the global pT t in Ref. [18 ℄ suggests appro ximate inde- p enden e of FNP(Q, b) from the t yp e of q ̄ q s attering pro ess. It is used here to des rib e the nonp erturbativ e terms in the leading q ̄ q →γγ hannel. W e negle t p ossible orre tions to the nonp erturbativ e on tributions arising from the nal-state soft radiation in the qg han- nel and additional √ S dep enden e ae ting Drell-Y an-lik e pro esses at x ≲10−2 [20℄, as these ex eed the a ura y of the presen t measuremen ts at the T ev atron. The exp erimen tally unkno wn FNP(Q, b) in the gg hannel is appro ximated b y FNP(Q, b) for the q ̄ q hannel, 8 m ultiplied b y the ratio CA/CF = 9/4 . This hoi e is motiv ated b y the fa t that the lead- ing Sudak o v olor fa tors A(k) a in the gg and q ̄ q hannels are prop ortional to CA = 3 and CF = 4/3 , resp e tiv ely . The un ertain ties in the γγ ross se tions asso iated with FNP(Q, b) are in v estigated n umeri ally in Ref. [3℄. In the region QT ∼Q , ollinear QCD fa torization at a nite xed order in αs is ap- pli able. In order to in lude non-singular on tributions imp ortan t in this region, w e add to W(Q, QT, y, Ω∗) the regular pie e Y (Q, QT, y, Ω∗), dened as the dieren e b et w een the NLO ross se tion P(Q, QT, y, Ω∗) and its small-QT asymptoti appro ximation A(Q, QT, y, Ω∗): dσ(h1h2 →γγ) dQ dQ2 T dy dΩ∗ = W(Q, QT, y, Ω∗) + P(Q, QT, y, Ω∗) −A(Q, QT, y, Ω∗) ≡W(Q, QT, y, Ω∗) + Y (Q, QT, y, Ω∗). (19) A t small QT, subtra tion of A(Q, QT, y, Ω∗) in Eq. (19 ) an els large initial-state radia- tiv e orre tions in P(Q, QT, y, Ω∗), whi h are in orp orated in their resummed form within W(Q, QT, y, Ω∗). A t QT omparable to Q , A(Q, QT, y, Ω∗) an els the leading terms in W(Q, QT, y, Ω∗), but higher-order on tributions remain from the innite to w er of logarith- mi terms that are resummed in W . In this situation the W + Y ross se tion drops b elo w the nite-order result P(Q, QT, y, Ω∗) at some v alue of QT (referred to as the r ossing p oint) in b oth the q ̄ q +qg and gg +gqS hannels, for ea h Q and y . W e use the W +Y ross se tion as our nal predi tion at QT v alues b elo w the rossing p oin t, and the NLO ross se tion P at QT v alues ab o v e the rossing p oin t. A few ommen ts are in order ab out our resummation al ulation. The hard-v ertex on tri- bution Σa(θ∗)h2 a(Q, θ∗) and the fun tions Ba (C1, C2, ̄ μ) and Ca/a1(x, b; C/C2, μ) an b e v aried in a m utually omp ensating w a y while preserving the same v alue of the form fa tor W up to higher-order orre tions in αs . This am biguit y , or dep enden e on the hosen resummation s heme [21℄ within the CSS formalism, an b e emplo y ed to explore the sensitivit y of the- oreti al predi tions to further next-to-next-to-next-to-leading logarithmi (NNNLL) ee ts that are not a oun ted for expli itly . The p erturbativ e o e ien ts in App endix A are presen ted in the CSS resummation s heme [11℄, our default hoi e in n umeri al al ulations, and in an alternativ e s heme b y Catani, de Florian and Grazzini (CF G) [21℄. In the original CSS resummation s heme, the B and C fun tions on tain the nite virtual NLO orre tions to the 2 →2 s attering pro ess, whereas in the CF G s heme the univ ersal B and C dep end only on the t yp e of in iden t partons, and the pro ess-dep enden t virtual orre tion is in luded in the fun tion ha . The dieren e b et w een the CSS and CF G s hemes is n umeri ally small in γγ pro du tion at b oth the T ev atron and the LHC [3℄. In the gg + gqS s attering hannel, the unp olarized resummed ross se tion in ludes an additional on tribution from elemen ts of kT -dep enden t PDF spin matri es with opp osite heli ities of outgoing gluons [3 ℄. The NLO expansion of this spin-ip resummed ross se tion generates the term prop ortional to Σ′ g(θ∗, φ∗) ∝cos 2φ∗ in the small-QT asymptoti ross se tion, f. Eq. (14). Although the logarithmi spin-ip on tribution m ust b e resummed in prin iple to all orders to predi t the φ∗ dep enden e in the gg + gqS hannel, it is negle ted in the presen t w ork in view of its small ee t on the full γγ ross se tion. When in tegrated o v er QT from 0 to s ales of order Q , the resummed ross se tion b e- omes appro ximately equal to the nite-order (NLO) ross se tion, augmen ted t ypi ally b y a few-p er en t orre tion from in tegrated higher-order terms logarithmi in QT . In lusiv e 9 observ ables that allo w su h in tegration (e.g., the large-Q region of the γγ in v arian t mass distribution) are appro ximated w ell b oth b y the resummed and NLO al ulations. Ho w- ev er, the exp erimen tal a eptan e onstrains the range of the in tegration o v er QT in parts of phase spa e and ma y break deli ate an ellations b et w een in tegrable singularities presen t in the nite-order dieren tial distribution. In this situation (e.g., in the vi init y of the kine- mati uto in dσ/dQ dis ussed in Se . I I I ) the NLO ross se tion b e omes unstable, while the resummed ross se tion (free of dis on tin uities) on tin ues to dep end smo othly on kine- mati onstrain ts. W e see that the resummation is essen tial not only for the predi tion of ph ysi al QT distributions in γγ pro du tion, but also for redible estimates of the ee ts of exp erimen tal a eptan e on distributions in the diphoton in v arian t mass and other v ariables. C. Final-state photon fragmen tation 1. Single-photon fr agmentation In addition to the QCD singularities asso iated with initial-state radiation [des rib ed b y the asymptoti terms in Eqs. (13) and (14 )℄, other singularities arise in the O(αs) pro ess q(p1) + g(p2) →γ(p3) + γ(p4) + q(p5) [Fig. 1 (e)℄ when a photon is ollinear to the nal-state quark. In this limit, the qg →qγγ squared matrix elemen t gro ws as 1/sγ5 , when sγ5 →0 , where sγ5 is the squared in v arian t mass of the ollinear γq pair. In this limit, the squared matrix elemen t fa tors as |M(qg →qγγ)|2 ≈2e2e2 i sγ5 Pγ←q(z)|M(qg →qγ)|2 (20) in to the pro du t of the squared matrix elemen t |M(qg →qγ)|2 for the pro du tion of a photon and an in termediate quark, and a splitting fun tion Pγ←q(z) = (1 + (1 −z)2)/z for fragmen tation of the in termediate quark in to a ollinear γq pair. In Eq. (20 ) z is the ligh t- one fra tion of the in termediate quark's momen tum arried b y the fragmen tation photon, and eei is the harge of the in termediate quark. When the photon-quark separation ∆r = p (η5 −ηγ)2 + (φ5 −φγ)2 in the plane of pseudorapidit y η = −log(tan(θ/2)) and azim uthal angle φ in the lab frame is small, as in the ollinear limit, sγ5 ≈ETγET5∆r2, where ETγ and ET5 are the transv erse energies of the photon and quark, with ET ≡E sin θ . Note that ET5 = QT at the order in αs at whi h w e are w orking. Therefore, on tributions from the nal-state ollinear, or fragmen tation, region are most pronoun ed at small ∆r and relativ ely small QT. 1 A fully onsisten t treatmen t of the initial- and nal-state singularities w ould require a join t initial- and nal-state resummation. In the approa hes tak en to date, the fragmen tation singularit y ma y b e subtra ted from the dire t ross se tion and repla ed b y a single-photon one-fragmen tation on tribution q + g →(q frag − →γ) + γ , where ( frag q − →γ) denotes ollinear pro du tion of one hard photon from a quark, des rib ed b y a fun tion Dγ(z, μ) at a ligh t- one momen tum fra tion z and fa torization s ale μ . Single-photon t w o-fragmen tation 1 In the soft, or E5 →0, limit, the nal-state ollinear on tribution is suppressed, ree ting the absen e of the soft singularit y in the qg →qγγ ross se tion. 10 on tributions arise in pro esses lik e g + g →(q frag − →γ) + ( ̄ q frag − →γ) and in v olv e on v olutions with t w o fun tions Dγ(z, μ) (one p er photon). The lo w est-order F eynman diagrams for the one- and t w o-fragmen tation on tributions are sho wn in Figs. 1 (f ) and 1 (g), resp e tiv ely . P arameterizations m ust b e adopted for the nonp erturbativ e fun tions Dγ(z, μ) at an initial s ale μ = μ0 . This is the approa h follo w ed in the DIPHO X al ulation [14℄, in whi h the sum of real and virtual NLO orre tions to dire t and single-γ fragmen tation ross se tions is in luded. When expli it fragmen tation fun tion on tributions are in luded, the in lusiv e rate is in reased b y higher-order on tributions from photon pro du tion within hadroni jets. Ho w ev er, m u h of the enhan emen t is suppressed b y isolation onstrain ts imp osed on the in lusiv e photon ross se tions b efore the omparison with data. Nev ertheless, fragmen tation on tributions surviving isolation ma y b e mo derately imp ortan t in parts of phase spa e. An infrared-safe pro edure an b e form ulated to apply isolation uts at ea h order of αs [22 , 23, 24℄. This pro edure en oun ters di ulties in repro du ing the ee ts of isolation on fragmen tation on tributions, b e ause theoreti al mo dels ree t only basi features of the exp erimen tal isolation and ma y in tro du e new logarithmi singularities near the edges of the isolation ones. As men tioned in the In tro du tion, the magnitude of the fragmen tation on tribution de- p ends on the v alues of isolation parameters Eiso T , ∆R , and ∆Rγγ , mo deled only appro ximately in a theoreti al al ulation. The ollinear appro ximation onstrains from b elo w the v alues of z a essible to Dγ(z, μ): z > zmin ≡(1 + Eiso T5/ETγ)−1 . If Dγ(z, μ) v aries rapidly with z , the fragmen tation ross se tion is parti ularly sensitiv e to the assumed v alues of Eiso T and zmin . F or instan e, if Dγ(z, μ) ∼1/z , the fragmen tation ross se tion is roughly prop ortional to Eiso T under a t ypi al ondition Eiso T /ETγ ≪1 . Su h nearly linear dep enden e on Eiso T of the fragmen tation ross se tion dσ/dQT is indeed observ ed in the DIPHO X al ulation, as review ed in Se . I I I. In realit y , some spread of the parton radiation in the dire tion trans- v erse to the photon's motion is exp e ted. The treatmen t of kinemati s in parton sho w ering programs lik e PYTHIA results in somewhat dieren t dep enden e on z [12℄ ompared to the ollinear appro ximation, hen e in a dieren t magnitude of the fragmen tation ross se tion. In this w ork w e adopt a pro edure that repro du es desirable features of the isolated ross se tions, while b ypassing some of the di ulties summarized ab o v e. T o sim ulate exp erimen- tal isolation, w e reje t an ev en t if (a) the separation ∆r b et w een the nal-state parton and one of the photons is less than ∆R , and (b) ET5 of the parton is larger than Eiso T . This ondition is applied to the NLO ross se tion P(Q, QT, y, Ω∗), but not to W(Q, QT, y, Ω∗) and A(Q, QT, y, θ∗), as these orresp ond to initial-state QCD radiation and are free of the nal-state ollinear singularit y . This quasi-exp erimen tal isolation ex ludes the singular nal-state dire t on tributions at ET5 > Eiso T and ∆r < ∆R (or sγ5 < ETγET5∆R2 ). It is ee tiv e for QT > Eiso T , but the ollinear dire t on tributions surviv e when QT < Eiso T . The in tegrated (but not the dieren tial) fragmen tation rate in the region QT < Eiso T ma y b e estimated from a al ulation with expli it fragmen tation fun tions. In our approa h, w e do not in tro du e fragmen tation fun tions, but w e apply an auxiliary regulator to the dire t qg ross se tion at QT < Eiso T and ∆r < ∆R . In our n umeri al study w e nd that this pres ription preserv es a on tin uous dieren tial distribution ex ept for a small nite dis on tin uit y at QT = Eiso T . It appro ximately repro du es the in tegrated qg rate obtained in the DIPHO X al ulation at small QT , for the nominal Eiso T . 11 Figure 2: Lo w est-order F eynman diagrams des ribing fragmen tation of the nal-state partons in to photon pairs with relativ ely small mass Q. T w o forms of the auxiliary regulator are onsidered b elo w, based on subtra tion of the leading ollinear on tribution and smo oth- one isolation [25 ℄. In the rst ase, w e subtra t the leading part Eq. (20 ) of the dire t qg matrix elemen t when ET5 < Eiso T and ∆r < ∆R. W e tak e z = 1 −ps * p5/(ps * pf + ps * p5 + pf * p5), where pμ f, pμ 5, and pμ s are the four-momen ta of the fragmen tation photon, fragmen tation quark, and sp e tator photon, resp e tiv ely [26℄. This pres ription is used in most of the n umeri al results in this pap er. In the se ond ase, w e suppress fragmen tation on tributions at ∆r < ∆R and ET5 < Eiso T b y reje ting ev en ts in the ∆R one that satisfy ET5 < χ(∆r), where χ(∆r) is a smo oth fun tion satisfying χ(0) = 0, χ(∆R) = Eiso T . This smo oth- one isolation [25℄ transforms the fragmen tation singularit y asso iated with Dγ(z, μ) in to an in tegrable singularit y , whi h dep ends on the assumed fun tional form of χ(∆r). The ross se tion for dire t on tributions is rendered nite b y this pres ription without expli it in tro du tion of fragmen tation fun tions Dγ(z, μ). F or our smo oth fun tion, w e ho ose χ(∆r) = Eiso T (1−cos ∆r)2/(1−cos ∆R)2 , whi h diers from the sp e i form onsidered in Ref. [25℄, but still satises the ondition χ(0) = 0. Our earlier results in Ref. [2℄ are omputed with this pres ription. Here w e emplo y it only in a few instan es for omparison with the subtra tion metho d and obtain similar results. Dieren es b et w een the t w o pres riptions an b e used to quan tify sensitivit y of the pre- di tions to the treatmen t of the QT < Eiso T and ∆r < ∆R region. The t w o pres riptions yield iden ti al predi tions outside of this restri ted region, notably at QT > Eiso T , where our NLO p erturbativ e expression P(Q, QT, y, Ω∗) in the q ̄ q + qg hannel is on trolled only b y quasi-exp erimen tal isolation and oin ides with the orresp onding dire t ross se tion in DIPHO X. The default subtra tion pres ription predi ts a v anishing dσ/dQT in the extreme QT →0 limit, while the smo oth- one pres ription has an in tegrable singularit y in this limit, a v oided b y an expli it small-QT uto in the al ulation of our Y -pie e. Both pres riptions are free of the logarithmi singularit y at QT = Eiso T arising in the xed-order (DIPHO X) al ulation. 2. L ow-Q diphoton fr agmentation Another lass of large radiativ e orre tions arises when the γγ in v arian t mass Q is smaller than the γγ transv erse momen tum QT . In this ase, one nal-state quark or gluon fragmen ts in to a lo w-mass γγ pair, e.g. as q + g →(q frag − →γγ) + g . The lo w est-order on tributions of this kind are sho wn in Fig. 2 . The pro ess is des rib ed b y a γγ -fragmen tation fun - tion Dγγ(z1, z2, μ), dieren t from the single-photon fragmen tation fun tion Dγ(z, μ). This 12 new t w o-photons from one-fragmen tation on tribution is not in luded y et in existing al- ulations, ev en though similar fragmen tation me hanisms ha v e b een studied in large-QT Drell-Y an pair pro du tion [27, 28 ℄. The imp ortan e of lo w-Q γγ -fragmen tation ma y b e el- ev ated in some kinemati regions for t ypi al exp erimen tal uts. They an b e remo v ed b y adjustmen ts in the exp erimen tal uts, as dis ussed in Se . I I I. D. Summary of the al ulation W e on lude this se tion b y summarizing the main features of our al ulation. F ull dire t NLO ross se tions, represen ted b y the graphs (a)-(e), (h)-(l) in Fig. 1, are omputed, and their initial-state soft/ ollinear logarithmi singularities are resummed at small QT in b oth the q ̄ q +qg and gg +gqS hannels. The p erturbativ e Sudak o v fun tions A and B and Wilson o e ien t fun tions C in the resummed ross se tion W are omputed up to orders α3 s, α2 s , and αs , resp e tiv ely , orresp onding to resummation at NNLL a ura y . Our resummation al ulation requires an in tegration o v er all v alues of impa t parameter b , in luding the nonp erturbativ e region of large b . In our default al ulation of the resummed ross se tion, w e adopt the nonp erturbativ e fun tions in tro du ed in Ref. [18℄. W e onsider t w o resummation s hemes, the traditional s heme in tro du ed in the CSS pap er as w ell as an alternativ e s heme [21℄. The omparison allo ws us to estimate the magnitude of y et higher- order orre tions that are not in luded. The size of these ee ts is dieren t in the q ̄ q + qg and gg + gqS hannels but not parti ularly signi an t in either [3℄. The nal-state ollinear singularit y in the qg s attering hannel is a v oided b y applying quasi-exp erimen tal isolation when QT > Eiso T and an auxiliary regulator when QT < Eiso T to appro ximate on a v erage the full NLO rate from dire t qg and fragmen tation ross se tions in this QT range. T w o pres riptions for the auxiliary regulator (subtra tion and smo oth isolation inside the photon's isolation one) are onsidered and lead to similar predi tions at the T ev atron and LHC. The singular logarithmi on tributions asso iated with initial-state radiation are sub- tra ted from the NLO ross se tion P to form a regular pie e Y, whi h is added to the small-QT resummed ross se tion W to predi t the pro du tion rate for small and in termedi- ate v alues of QT . In the gg + gqS hannel, w e also subtra t from P a new singular spin-ip on tribution that ae ts azim uthal angle (φ∗) dep enden e in the Collins-Sop er referen e frame. W e swit h our predi tion to the xed-order p erturbativ e result P at the p oin t in QT where the ross se tion W + Y drops b elo w P . This rossing p oin t is lo ated at QT of order Q in b oth q ̄ q + qg and gg + gqS hannels. I I I. COMP ARISONS WITH D A T A AND PREDICTIONS Our al ulation of the dieren tial ross se tion dσ/(dQdQTdydΩ∗) is esp e ially p ertinen t for the transv erse momen tum QT distribution in the region QT ≲Q , for xed v alues of diphoton mass Q ( f. Se tion I I I A 1). It w ould b e b est to ompare our multiple dieren tial distribution with exp erimen t, but published ollider data tend to b e presen ted in the form of singly dieren tial distributions in Q , QT , and ∆φ ≡φ3 −φ4 in the lab frame, after in tegration o v er the other indep enden t kinemati v ariables. W e follo w suit in order to mak e omparisons with T ev atron ollider data, but w e re ommend that more dieren tial studies 13 b e made, and w e ommen t on the features that an b e explored. W e sho w results at the energy of the T ev atron ollider and then mak e predi tions for the Large Hadron Collider. The analyti al results of Se . I I are implemen ted in our omputer o de. As a rst step, resummed and NLO γγ ross se tions are omputed on a grid of dis rete v alues of Q , QT , and y b y using the resummation program Lega y des rib ed in Refs. [29 , 30℄. A t the se ond stage, mat hing of the resummed and NLO ross se tions is p erformed, and fully dieren tial ross se tions are ev aluated b y Mon te-Carlo in tegration of the mat hed grids in the latest v ersion of the program ResBos [31, 32 ℄. The al ulation is done for Nf = 5 a tiv e quark a v ors and the follo wing v alues of the ele tro w eak and strong in tera tion parameters [33℄: GF = 1.16639 × 10−5 Ge V−2, mZ = 91.1882 Ge V, (21) α(mZ) = 1/128.937, αs(mZ) = 0.1187. (22) The follo wing hoi es of the fa torization onstan ts are used: C1 = C3 = 2e−γE ≈1.123..., and C2 = C4 = 1. The hoi e C4 = 1 implies that w e equate the renormalization and fa torization s ales to the in v arian t mass of the photon pair, μR = μF = Q , in the xed- order and asymptoti on tributions P(Q, QT, y, Ω∗) and A(Q, QT, y, Ω∗). W e use t w o-lo op expressions for the running ele tromagneti and strong ouplings α(μ) and αS(μ), as w ell as the NLO parton distribution fun tion set CTEQ6M [19 ℄ with Qini = 1.3 Ge V. F or al ulations with expli it nal-state fragmen tation fun tions in luded, w e use set 1 of the NLO photon fragmen tation fun tions from Ref. [34 ℄. A. Results for Run 2 at the T ev atron 1. Kinemati onstr aints In this se tion, w e presen t our results for the T ev atron p ̄ p ollider op erating at √ S = 1.96 T e V. In order to ompare with the data from the Collider Dete tor at F ermilab (CDF) ollab oration [1℄, w e mak e the same restri tions on the nal-state photons as those used in the exp erimen tal measuremen t (unless stated otherwise): transv erse momen tum pγ T > pγ T min = 14 (13) Ge V for the harder (softer) photon, (23) and rapidit y |yγ| < 0.9 for ea h photon. (24) W e imp ose isolation onditions des rib ed in Se tion I I C, assuming the nominal isolation energy Eiso T = 1 Ge V sp e ied in the CDF publi ation, along with ∆R = 0.4, and ∆Rγγ = 0.3 . W e also sho w predi tions for the onstrain ts that appro ximate ev en t sele tion onditions used b y the F ermilab DØ Collab oration [35 ℄: pγ T > pγ T min = 21 (20) Ge V for the harder (softer) photon, |yγ| < 1.1 , and Eiso T /Eγ T = 0.07 for ea h photon, for the same ∆R and ∆Rγγ v alues as in the CDF ase. A s atter plot of ev en t distributions from our theoreti al sim ulation for CDF kinemati uts and arbitrary luminosit y is sho wn in Fig. 3 . The ev en ts are plotted v ersus the in v arian t mass Q , transv erse momen tum QT , rapidit y separation |∆y| ≡|yhard −ysoft| , and azim uthal separation ∆φ ≡|φhard −φsoft| (with 0 ≤∆φ ≤π) b et w een the harder and softer photon in the lab frame, as w ell as the osine of the p olar angle θ∗ in the Collins-Sop er frame. It an b e seen from the gure that ∆φ is orrelated with the dieren e QT −Q . Ev en ts with 14 20 0 0 0 1 0 1.5 2 3 ' (rad) Q T > Q Q T < Q Kinemati al distributions in the T evatron Run-2 (CDF) 1 -1 2 40 100 80 60 40 20 0 100 80 60 0.5 1 2.5 Q T (Ge V) jy j os  ? Q (Ge V) p T uts R ut Figure 3: The diphoton ev en t distribution from the theoreti al sim ulation for √ S = 1.96 Ge V, with the sele tion riteria imp osed in the CDF measuremen t, as a fun tion of the v arious kinemati v ariables des rib ed in the text, sho wn for QT < Q and QT > Q separately . QT < Q (QT > Q ) tend to p opulate regions with ∆φ > π/2 (∆φ < π/2 ). The extreme ase QT = 0 relev an t to the Born appro ximation orresp onds to ∆φ = π . The pγ T uts suppress the mass region Q ≲2 p pγ3 Tminpγ4 Tmin ≈27 Ge V at ∆φ ≈π and QT ≲ 25 Ge V at ∆φ ≈0 , leading to the app earan e of a kinemati uto in the in v arian t mass distribution and a shoulder in the transv erse momen tum distribution, as sho wn in later se tions. Our theoreti al framew ork is appli able in the region QT ≲Q (large ∆φ), where the dominan t fra tion of ev en ts o urs. The app earan e of singularities in the NLO al ulation at QT →0 and the fa t that there are t w o dieren t hard s ales, QT and Q , relev an t for the ev en t distributions in the lo w-QT region require that w e address and resum large logarithmi terms of the form log(Q/QT). Dieren t and in teresting ph ysi s b e omes imp ortan t in the omplemen tary region QT > Q (small ∆φ), a topi w e address in Se . I I I A 3 . 2. T evatr on r oss se tions W e ompare our resummed and nite-order predi tions for the in v arian t mass (Q ) dis- tribution of photon pairs, sho wn in Fig. 4 as solid and dashed lines, resp e tiv ely . The nite-order ross se tion is ev aluated at O(αs) a ura y in the q ̄ q + qg hannel and at O(α3 s) a ura y in the gg + gqS hannel. These nite-order al ulations are p erformed with the 15 pp _ → γγX, √S = 1.96 TeV Q (GeV) dσ/dQ (pb/GeV) Resummed (NNLL) Fixed-order (NLO) CDF, 207 pb-1 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 10 20 30 40 50 60 70 80 90 100 Figure 4: In v arian t mass distributions of photon pairs in p ̄ p →γγX at √ S = 1.96 T e V with QCD on tributions al ulated in the softgluon resummation formalism (red solid) and at NLO (blue dashed). The al ulations in lude the uts used b y the CDF ollab oration whose data are sho wn [1 ℄. phase-spa e sli ing metho d des rib ed in Se . I I B . When in tegrated o v er all QT , as in the dσ/dQ distribution at large Q , the resummed logarithmi terms from higher orders in αs pro du e a relativ ely small NNLO orre tion, su h that the resummed and nite-order mass distributions in Fig. 4 are lose to one another in normalization and shap e. Both distributions also agree with the CDF data in this Q range within exp erimen tal un ertain ties. The shap e of dσ/dQ at small Q is ae ted b y the uts in Eq. (23) on the transv erse momen ta pγ T of the t w o photons. In addition to b eing resp onsible for the hara teristi uto at Q ≈27 Ge V explained in the previous subse tion, the uts on the individual transv erse momen ta pγ T also in tro du e a dep enden e of the in v arian t mass distribution on the shap e of the QT sp e trum of the γγ pairs. Be ause of this orrelation b et w een the Q and QT distributions, the dis on tin uities in dσ/dQT as QT →0 , when omputed at nite order, mak e nite-order predi tions for dσ/dQ somewhat unstable. The nite-order exp e tation for the transv erse momen tum distribution dσ/dQT (i.e., the in tegral of P(Q, QT, y, Ω∗) o v er Q , y , and Ω∗ , or P for brevit y) is sho wn as a dashed urv e in Fig. 5(a). It exhibits an in tegrable singularit y in the small-QT limit. T erms with in v erse p o w er and logarithmi dep enden e on QT , asso iated with initial-state radiation as QT →0 , are extra ted from P and form the asymptoti on tribution, denoted as A (dotted urv e). In the gure, b oth P and A are trun ated at a small v alue of QT , that is, not dra wn all the w a y to QT = 0. The urv es for P and A are lose at small v alues of QT , signaling that the initial-state logarithmi singularities dominate the NLO distribution. The dieren e Y 16 10 -1 1 10 0 5 10 15 20 25 30 35 40 pp _ → γγX, √S = 1.96 TeV QT (GeV) dσ/dQT (pb/GeV) Fixed order (NLO) Asymptotic CDF, 207 pb-1 pp _ → γγX, √S = 1.96 TeV QT (GeV) dσ/dQT (pb/GeV) Resummed (NNLL) Finite-order (NLO) CDF, 207 pb-1 10 -1 1 0 5 10 15 20 25 30 35 40 (a) (b) Figure 5: T ransv erse momen tum distributions in p ̄ p →γγX at √ S = 1.96 T e V along with the CDF data: (a) the xed-order predi tion P (dashes) and its asymptoti appro ximation A (dots); (b) the full resummed ross se tion (solid), obtained b y mat hing the resummed W + Y to the xed-order predi tion P (dashed, same as in (a)) at large QT . b et w een the P and A distributions in ludes the nite regular terms not in luded in A and logarithmi terms from the nal-state fragmen tation singularities, with the latter subtra ted when QT < Eiso T , as des rib ed in Se . I I C . The data learly disfa v or the xed-order predi tion in the region of lo w QT . Figure 5(b) features the resummed W + Y on tribution (solid urv e). Resummation of the initial-state logarithmi terms renders W nite in the region of small QT . The sum of W and Y in ludes the resummed initial-state singular on tributions plus the remaining relev an t terms in P . Sin e P pro vides a reliable xed-order estimate at large QT , w e presen t our nal resummed predi tion b y swit hing from W + Y to P at the p oin t at whi h the t w o dieren tial ross se tions (as fun tions of Q , QT and y ) ross ea h other. In on trast to the xed-order (dashed) urv e P in Fig. 5 (b), the agreemen t with data is impro v ed at the lo w est v alues of QT , where resummation brings the rate do wn, and for QT = 12 −32 Ge V, where the resummed logarithmi terms in rease the rate. The resummed predi tions for the T ev atron exp erimen ts are pra ti ally insensitiv e to the hoi e of the resummation s heme and the nonp erturbativ e mo del [3℄. Ab out 75% (25%) of the total rate at the T ev atron with CDF uts imp osed omes from the q ̄ q+qg + ̄ qg (gg +gqS ) initial state. The fra tions for the uts used b y DØ are 84% and 16%. The gg + gqS on tribution falls steeply after QT > 22 Ge V, b e ause the gluon PDF de reases rapidly with parton fra tional momen tum x [3℄. The distribution in the dieren e ∆φ of the azim uthal angles of the photons is sho wn in Fig. 6 . As is true for the transv erse momen tum distribution in the limit QT →0 , the distribution omputed at xed order is ill-dened at ∆φ = π . The resummed distribution sho ws a larger ross se tion near ∆φ = 2.5 rad, in b etter agreemen t with the data. In the region of small ∆φ ≲π/2 , the xed-order and the resummed predi tions are the same, a 17 pp _ → γγX, √S = 1.96 TeV ∆φ (rad) dσ/d∆φ (pb/rad) Resummed (NNLL) Fixed-order (NLO) CDF, 207 pb-1 10 -1 1 10 0 0.5 1 1.5 2 2.5 3 Figure 6: The dieren e ∆φ in the azim uthal angles of the t w o photons in the lab oratory frame predi ted b y the resummed (solid) and xed-order (dashed) al ulations, ompared to the CDF data. result of our mat hing of the resummed and xed-order distributions at mid to high v alues of QT . Although the ross se tion is not large in the region ∆φ < π/2 , there is an indi ation of a dieren e b et w een our predi tions and data in this region, a topi w e address b elo w. 3. The r e gion QT > Q It is eviden t from Fig. 3 that the ∆φ < π/2 region is p opulated mostly b y ev en ts with QT > Q . New t yp es of radiativ e on tributions ma y b e presen t in this region, in luding v arious fragmen tation on tributions des rib ed in Se . I I C and enhan emen ts at large | cos θ∗| in the dire t pro du tion rate. While exp erimen tal isolation generally suppresses long-distan e fragmen tation, a greater fra tion of fragmen tation photons are exp e ted to surviv e isolation when ∆φ < π/2 . Besides single-photon `one-fragmen tation' and `t w o-fragmen tation' on tributions (with one photon p er fragmen ting parton), one en oun ters additional logarithmi singularities of the form log(Q/QT). W e noted in Se . I I C that these logarithms are asso iated with the fragmen tation of a parton arrying large transv erse momen tum QT in to a system of small in v arian t mass Q [27, 28℄, a ligh t γγ pair in our ase. Small-Q γγ fragmen tation of this kind is not implemen ted y et in theoreti al mo dels. Therefore, w e are prepared for the p ossibilit y that b oth the xed-order al ulation and our resummed al ulation ma y b e de ien t in the region QT ≫ Q . A detailed exp erimen tal study of the region QT > Q ma y oer the opp ortunit y to measure the parton to t w o-photon fragmen tation fun tion Dγγ(z1, z2), pro vided that the 18 single-photon `one-fragmen tation' fun tion Dγ(z) is determined b y single-photon data, and the lo w-Q logarithmi terms are prop erly resummed theoreti ally . In addition to the lo w-Q fragmen tation, the small-∆φ region ma y b e sensitiv e to large higher-order on tributions asso iated with b t - or b u - hannel ex hanges in the q ̄ q →γγ and gg →γγ subpro esses. In the Born pro esses in Figs. 1 (a) and (h), the b t - and b u - hannel singularities arise at cos θ∗≈±1 and ∆φ ≈π . These singularities are ex luded b y the pγ T uts in Eq. (23 ), but related residual enhan emen ts in the NLO on tributions ma y still p ersist at | cos θ∗| ≈1 and ∆φ →0 , not ex luded b y the uts ( f. Fig. 3). Be ause |cos θ∗| is large in su h ev en ts, they tend to ha v e substan tial |∆y| , so they are retained b y the ∆Rγγ > 0.3 ut. In on trast, the lo w-Q fragmen tation on tributions tend to b e abundan t at small |∆y| . It ma y b e therefore p ossible to distinguish b et w een the large-| cosθ∗| and fragmen tation ev en ts at small ∆φ based on the distribution in |∆y| . W e exp e t m u h b etter agreemen t of our predi tions with data if the sele tion QT < Q is made. This sele tion preserv es the bulk of the ross se tion and assures that a fair omparison is made in the region of phase spa e where the predi tions are most v alid. 4. F r agmentation and omp arison with the DIPHO X o de One w a y to obtain an estimate of theoreti al un ertain t y is to ompare theoreti al ap- proa hes in v arious parts of phase spa e, in luding small ∆φ. W e handle the ollinear nal-state photon singularities in the manner des rib ed in Se . I I, without in luding photon fragmen tation fun tions expli itly . An alternativ e al ulation implemen ted in the DIPHO X o de [14℄ in ludes NLO ross se tions for single-photon fragmen tation pro esses. Neither o de in ludes a term in whi h b oth photons are fragmen tation pro du ts of the same nal- state parton, i.e., the diphoton fragmen tation fun tion Dγγ(z1, z2). In Ref. [2℄ w e sho w omparisons of our predi tions with those of DIPHO X along with the CDF data. Here in Fig. 7 , w e sho w analogous plots of the in v arian t mass and transv erse mo- men tum distributions for DØ uts. W e note that our xed-order q ̄ q + qg on tribution agrees w ell with the dire t on tribution in DIPHO X. This agreemen t is parti ularly impressiv e in the region of large QT , where b oth o des use the same xed-order formalism to handle dire t on tributions. A on tribution from the gg hannel is also presen t in b oth o des, omputed at LO in DIPHO X but at NLO+NNLL in our ase. Sin e the gg + gqS on tribution is not dominan t (esp e ially in the high QT region), this dieren e do es not ha v e a signi an t impa t on the omparison. The expli it single-photon fragmen tation on tributions in DIPHO X (mostly `one- fragmen tation' on tribution) are quite small for the nominal hadroni energy Eiso T ∼1 Ge V in the one around ea h photon. Ex eptions o ur in the region QT ≤Eiso T , where the fragmen tation on tributions to dσ/dQT ha v e logarithmi singularities, and in the ∆φ →0 region, where fragmen tation is omparable to the dire t on tributions. Our isolation pre- s ription repro du es the in tegrated DIPHO X rate w ell for 0 ≤QT ≤Eiso T , leading to lose agreemen t b et w een the resummed and DIPHO X in lusiv e rates for most Q v alues. Returning to the CDF measuremen t, w e remark that the resummed and DIPHO X ross se tions for the same Eiso T = 1 Ge V underestimate the data within t w o standard deviations for Q ≲27 Ge V, QT > 25 Ge V, and ∆φ < 1 rad ( f. the relev an t gures in Ref. [2℄). The DIPHO X ross se tion an b e raised to agree with data in this shoulder region, if a m u h larger isolation energy (Eiso T = 4 Ge V) is hosen, and smaller fa torization and 19 pp _ → γγX, √S =1.96 GeV Q (GeV) dσ/dQ (pb/GeV) ET iso /pTγ = 0.07, ∆Rcone = 0.4, ∆Rγγ > 0.3 (pTγhard, pTγsoft) > (21, 20) GeV Resummed (NNLL) Resummed (qq _+qg+q -_g) DIPHOX (qq _+qg+q _g) 10 -3 10 -2 10 -1 50 100 150 200 250 300 pp _ → γγX, √S =1.96 GeV QT (GeV) dσ/dQT (pb/GeV) ET iso /ET γ = 0.07, ∆Rcone = 0.4, ∆Rγγ > 0.3 (pTγhard, pTγsoft) > (21, 20) GeV Resummed (NNLL) Resummed (qq _+qg+q -_g) DIPHOX (qq _+qg+q _g) 10 -4 10 -3 10 -2 10 -1 0 20 40 60 80 100 120 140 0 0.4 0.8 0 5 10 (a) (b) Figure 7: Comparison of our resummed and DIPHO X predi tions for (a) the in v arian t mass and (b) transv erse momen tum distributions of γγ pairs for DØ kinemati uts. The solid urv es sho w our resummed distributions with all hannels in luded. The dashed and dotted urv es illustrate the resummed and DIPHO X distributions in the q ̄ q + qg hannel. renormalization s ales are used (μF = μR = Q/2 ). These are the hoi es made in the CDF study [1℄. Sin e Eiso T is an appro ximate hara teristi of the exp erimen tal isolation, one migh t argue that b oth Eiso T = 1 and 4 Ge V an b e appropriate in a al ulation to mat h the onditions of the CDF measuremen t. The dire t on tribution is w eakly sensitiv e to Eiso T , while the one-fragmen tation part of dσ/dQT is roughly prop ortional to Eiso T ( f. Se tion I I C ). The one-fragmen tation on tribution is enhan ed on a v erage b y 400% if Eiso T is in reased in the al ulation from 1 to 4 Ge V. The rate in the shoulder region is enhan ed further if the fa torization s ale μF is redu ed. Sin e the theoreti al sp e i ations for isolation and for the fragmen tation on tribution are admittedly appro ximate, w e question whether great imp ortan e should b e pla ed on the agreemen t of theory and exp erimen t in the region of small ∆φ or in the shoulder region in the QT distribution. A straigh tforw ard w a y to redu e sensitivit y to fragmen tation is to require Q > 27 Ge V or QT < Q , as dis ussed ab o v e. The t w o uts ha v e similar ee ts on the ev en t distributions. Figure 8 sho ws the ee ts of the QT < Q ut on the QT and ∆φ distributions. The ut QT < Q is parti ularly e ien t at suppressing the fragmen tation QT shoulder (and the region of small ∆φ altogether), while only a small p ortion of the ev en t sample is lost. This ut is esp e ially fa v orable, sin e it onstrains the omparison with data to a region where the theory is w ell understo o d and has a small un ertain t y . F urthermore, with the requiremen t of QT < Q , the dep enden e of dieren tial ross se tions on the hoi es of isolation energy Eiso T and fa torization s ale μF is greatly redu ed to the t ypi al size of higher-order orre tions. W e predi t that if a QT < Q ut, or a Q > 27 Ge V ut, is applied to the T ev atron data, the enhan emen t at lo w ∆φ and in termediate QT asso iated with the fragmen tation on tribution will disapp ear. This is an imp ortan t on lusion of our study , and w e urge the CDF and DØ ollab orations to apply these uts in their future analyses of the 20 pp _ → γγX, √ S = 1.96 TeV QT (GeV) dσ/dQT (pb/GeV) Resummed (NNLL) DIPHOX, ET iso = 1 GeV DIPHOX, ET iso = 4 GeV, μF=Q/2 QT < Q 10 -2 10 -1 1 0 5 10 15 20 25 30 35 40 pp _ → γγX, √S = 1.96 TeV ∆φ (rad) dσ/d∆φ (pb/rad) Resummed (NNLL),ET iso = 1 GeV μF = Q (lower), Q/2 (upper) DIPHOX, ET iso = 1 GeV DIPHOX, ET iso = 4 GeV, μF = Q/2 QT < Q 10 -1 1 10 0 0.5 1 1.5 2 2.5 3 (a) (b) Figure 8: Predi ted ross se tions for diphoton pro du tion in p ̄ p →γγX at √ S = 1.96 T e V as a fun tion of (a) the γγ pair transv erse momen tum QT and (b) the dieren e ∆φ in the azim uthal angles of the t w o photons. Our resummed predi tions (solid) are sho wn together with DIPHO X predi tions for the default isolation energy Eiso T = 1 Ge V and fa torization s ale μF = Q (dashed), and for Eiso T = 4 Ge V, μF = Q/2 (dotted). W e imp ose the ondition QT < Q to redu e theoreti al un ertain ties asso iated with fragmen tation. diphoton data. 5. A ver age tr ansverse momentum An imp ortan t predi tion of the resummation formalism is the hange of the transv erse momen tum distribution with the diphoton in v arian t mass. This dep enden e omes, in part, from the ln Q2 dep enden e in the Sudak o v exp onen t, Eq. (17 ), and it is desirable to iden tify this feature amid other inuen es. In Fig. 9(a), w e sho w normalized resummed transv erse momen tum distributions for v arious sele tions of the in v arian t mass of the photon pairs. Without kinemati al onstrain ts on the de a y photons, the QT distribution is exp e ted to broaden with in reasing Q , and the p osition of the p eak in dσ/dQT to shift to larger QT v alues. The shift of the p eak ma y or ma y not b e observ ed in the data dep ending on the hosen lo w er uts on pT of the photons, whi h suppress the ev en t rate at lo w Q and QT . The in terpla y of the Sudak o v broadening of the QT distribution and kinemati al suppression b y the photon pT uts is ree ted in the shap e of dσ/dQT in dieren t Q bins. A ording to dimensional analysis, the a v erage ⟨QT⟩ in the in terv al QT ≤Q ma y b e exp e ted to b eha v e as ⟨QT⟩QT ≤Q = Qf(Q/ √ S), (25) 21 10 -3 10 -2 10 -1 0 5 10 15 20 25 30 35 40 pp _ → γγX, √S = 1.96 TeV QT (GeV) σ-1 dσ/dQT (1/GeV) 30 GeV < Q < 35 GeV 35 GeV < Q < 45 GeV 45 GeV < Q < 60 GeV 60 GeV < Q < 100 GeV pp _ → γγX, √ S = 1.96 TeV Q (GeV) 〈QT〉 (GeV) Resummed (NNLL); QT < Q 0 5 10 15 20 25 30 25 50 75 100 125 150 175 200 (a) (b) Figure 9: (a) Resummed transv erse momen tum distributions of photon pairs in v arious in v arian t mass bins used in the CDF measuremen t, normalized to the total ross se tion in ea h Q bin. (b) The a v erage QT as a fun tion of the γγ in v arian t mass, omputed for QT < Q. where the s aling fun tion f(Q/ √ S ) ree ts phase spa e onstrain ts, dep enden e on the Sudak o v logarithm, and the x dep enden e of the PDF s. Figure 9(b) sho ws our al ulated diphoton mass dep enden e of ⟨QT⟩. The linear in rease sho wn in Eq. (25 ) is observ ed o v er the range 30 < Q < 80 Ge V. F or v alues of Q b elo w the kinemati uto at ab out 30 Ge V, the uts sho wn in Fig. 3 suppress diphoton pro du tion at small QT , and ⟨QT/Q⟩ gro ws to w ard 1 as Q de reases ( orresp onding to pro du tion only at QT lose to Q ). F or Q ∼80 Ge V and ab o v e, w e see a saturation of the gro wth of ⟨QT⟩, a ree tion of the inuen es of the x dep enden e of the PDF s and other fa tors. Similar saturation b eha vior is observ ed in al ulations of ⟨QT⟩ in other pro esses [36℄. It w ould b e in teresting to see a omparison of our predi tion with data from the CDF and DØ ollab orations. B. Results for the LHC 1. Event sele tion T o obtain predi tions for pp ollisions at the LHC at √ S = 14 T e V, w e emplo y the uts on the individual photons used b y the A TLAS ollab oration in their sim ulations of Higgs b oson de a y , h →γγ [37℄. W e require transv erse momen tum pγ T > 40 (25) Ge V for the harder (softer) photon, (26) and rapidit y |yγ| < 2.5 for ea h photon. (27) In a ord with A TLAS sp e i ations, w e imp ose a lo oser isolation restri tion than for our T ev atron study , requiring less than Eiso T = 15 Ge V of hadroni and extra ele tromagneti 22 pp → γγX, √S = 14 TeV QT (GeV) dσ/dQT (pb/GeV) 70 < Q < 115 GeV 115 < Q < 140 GeV 140 < Q < 250 GeV 70 < Q < 115 GeV, QT < Q 1 0.01 0.003 0.1 0 20 40 60 80 100 120 Figure 10: Resummed transv erse momen tum distributions of photon pairs in v arious in v arian t mass bins at the LHC. The uts listed in Eqs. (26 ) and (27) are imp osed.The QT distribution for 70 < Q < 115 Ge V with an additional onstrain t QT < Q is sho wn as a dotted line. transv erse energy inside a ∆R = 0.4 one around ea h photon. W e also require the separation ∆Rγγ b et w een the t w o isolated photons to b e ab o v e 0.4. The uts listed ab o v e, optimized for the Higgs b oson sear h, ma y require adjustmen ts in order to test p erturbativ e QCD predi tions in the full γγ in v arian t mass range a essible at the LHC. The v alues of the pγ T uts on the photons in Eq. (26 ) preserv e a large fra tion of Higgs b oson ev en ts with Q > 115 Ge V. These uts ma y b e to o restri tiv e in studies of γγ pro du tion at smaller Q , onsidering that the t w o nal-state photons most lik ely originate from a γγ pair with small QT and ha v e similar v alues of pγ T of ab out Q/2 . The pT uts in terfere with the exp e ted Sudak o v broadening of QT distributions with in reasing diphoton in v arian t mass, as dis ussed in Se tion I I I A 5 . W e further note that the asymmetry b et w een the pγ T uts on the harder and softer photons is ne essary in a xed-order p erturbativ e QCD al ulation, but it is not required in the resummed al ulation. A t a xed order of αs , asymmetry in the pγ T uts prev en ts instabilities in dσ/dQ aused b y logarithmi div ergen es in dσ/dQT at small QT . Su h instabilities are eliminated altogether on e the small-QT logarithmi terms are resummed to all orders of αs . Here w e do not onsider alternativ e pγ T uts, although exp erimen tal ollab orations are en ouraged to emplo y relaxed and/or symmetri uts to in rease the γγ ev en t sample in their data analysis. 2. R esumme d QT distributions and aver age tr ansverse momentum Figure 10 sho ws transv erse momen tum distributions of the photon pairs for v arious in- v arian t masses. The a v erage γγ transv erse momen tum gro ws with Q , as demonstrated b y Fig. 11. Ho w ev er, the rate of the gro wth de reases monotoni ally with Q, for similar reasons as at the T ev atron. The γγ distributions in Q and ∆φ for dieren t om binations of s attering sub hannels and hoi es of theoreti al parameters are dis ussed in Refs. [2, 3℄. In all ranges of Q , the γγ pro du tion rate is dominated b y a large qg on tribution, a oun ting for ab out 50% of the 23 pp → γγX, √S = 14 TeV Q (GeV) 〈QT〉 (GeV) Resummed (NNLL); QT < Q 0 10 20 30 40 50 50 100 150 200 250 Figure 11: The a v erage QT at the LHC as a fun tion of the γγ in v arian t mass Q. xed-order (NLO) rate. Although this n um b er dep ends on the hoi e of the fa torization s heme and s ale, and, on the other hand, separate treatmen t of the q ̄ q and qg ross se tions is not meaningful in the resummation al ulation [3℄, it nonetheless ree ts, in a rude w a y , the in reased relativ e imp ortan e of the qg ross se tion. The gg + gqS hannel on tributes ab out 25% at Q ∼80 Ge V (the lo ation of the uto in dσ/dQ due to the uts on pγ T ) and less at larger Q. As at the T ev atron, the dep enden e of the ross se tions on the resummation s heme is small [3℄. The dep enden e on the nonp erturbativ e mo del an also b e negle ted, as long as the nonp erturbativ e fun tion do es not v ary strongly with x [3℄. 3. Final-state fr agmentation and omp arison with DIPHO X The impa t of the nal-state fragmen tation at the LHC an b e ev aluated if w e ompare our results with DIPHO X predi tions. The transv erse momen tum and in v arian t mass dis- tributions in the q ̄ q + qg hannel from the t w o approa hes are sho wn in Fig. 12 . In b oth al ulations, quasi-exp erimen tal isolation remo v es dire t NLO ev en ts with ollinear nal- state photons and partons when QT > Eiso T = 15 Ge V, but not when QT is b elo w Eiso T . Con en trating rst on γγ ev en ts with QT > Eiso T , w e observ e that, at QT > 80 Ge V, the resummed q ̄ q+qg ross se tion redu es to the dire t xed-order ross se tion, ev aluated in the same w a y as in the DIPHO X o de. Our resummed and the dire t DIPHO X ross se tions, sho wn as solid and dashed urv es, resp e tiv ely , in Fig. 12(a) onsequen tly agree w ell at large QT . A t smaller QT, the resummed ross se tion is enhan ed b y to w ers of higher-order logarithmi on tributions. On the other hand, the full q ̄ q + qg DIPHO X rate (sho wn as a dotted line) also in ludes single-photon fragmen tation on tributions, whi h add to the dire t pro du tion ross se tion. F or the nominal isolation parameters, the expli it fragmen tation on tribution onstitutes ab out 25% of the full DIPHO X rate for 60 < QT < 120 Ge V. Its magnitude in reases appro ximately linearly with the assumed Eiso T v alue. F or QT < Eiso T , the nal-state ollinear region of the dire t on tribution is regulated b y the ollinear subtra tion pres ription adopted in the resummation al ulation, whereas 24 ET iso pp → γγX, √S = 14 TeV QT (GeV) dσ/dQT (pb/GeV) qq _ + qg only Resummed DIPHOX (direct) DIPHOX (direct+frag.) 10 -2 10 -1 1 0 20 40 60 80 100 120 pp → γγX, √S = 14 TeV Q (GeV) dσ/dQ (pb/GeV) qq _ + qg only Resummed DIPHOX (direct+fragm.) 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 50 75 100 125 150 175 200 225 250 (a) (b) Figure 12: T ransv erse momen tum and in v arian t mass distributions dσ/dQ in the q ̄ q + qg hannel obtained in the resummation (solid) and DIPHO X (dotted) al ulations. the fragmen tation singularit y is subtra ted from the dire t on tribution and repla ed b y photon fragmen tation fun tions in the DIPHO X al ulation. Subtra tion of singularities in DIPHO X in tro du es in tegrable singularities in dσ/dQT at dieren t v alues of QT b elo w Eiso T . The origin of the nal-state logarithmi singularities at v alues of QT b elo w Eiso T is dis ussed in Refs. [22, 23 , 24℄. F or QT < Eiso T , the DIPHO X urv es represen t the a v erage o v er singular on tributions in this QT in terv al. After the fragmen tation singularit y is subtra ted, the DIPHO X dire t on tribution (dashed line) is on a v erage b elo w our resummed q ̄ q + qg rate (solid line) o v er most of the range of QT sho wn in Fig. 12(a). After in tegration o v er all QT , our resummed and DIPHO X q ̄ q + qg ross se tions agree within 10-20% at most v alues of Q ( f. Fig. 12 (b)), with our resummed rate b eing b elo w the DIPHO X rate at all Q . The largest dieren e o urs at the lo w est v alues of Q (b elo w the uto ), where the rates an dier b y a fa tor of 2. In this region, orresp onding to diphoton ev en ts with small ∆φ and QT larger than Q , the photon fragmen tation on tributions in luded in the DIPHO X al ulation are large in omparison to the dire t rate. Finally , w e note that the in tegrated rate in DIPHO X is more stable with resp e t to v ariations in Eiso T than the dieren tial distributions in DIPHO X, b e ause Eiso T dep enden e for QT > Eiso T is an eled to a go o d degree b y Eiso T dep enden e for QT < Eiso T . T o obtain the nal γγ pro du tion ross se tions, after in lusion of all hannels, w e om bine the resp e tiv e q ̄ q +qg results with the resummed NLO gg +gqS ross se tion in our ase and with the LO gg ross se tion in the DIPHO X ase. The distributions in the γγ in v arian t mass Q, the transv erse momen tum QT , and the azim uthal angle separation ∆φ in the lab frame are sho wn in Fig. 13 . F or the uts hosen, the LO gg and the resummed gg +gqS total rates onstitute ab out 9% and 20% of the total rate. The resummed and DIPHO X in v arian t mass distributions (Fig. 13(a)) are brough t loser to one another as a result of the in lusion 25 pp → γγX, √S = 14 TeV Q (GeV) dσ/dQ (pb/GeV) Resummed (NNLL) Fixed-order (NLO) DIPHOX (direct+frag.) 10 -2 10 -1 1 50 75 100 125 150 175 200 225 250 pp → γγX, √S = 14 TeV QT (GeV) dσ/dQT (pb/GeV) ∆Rcone = 0.4, ET iso = 15 GeV, ∆Rγγ > 0.4 pTγ hard > 40 GeV, pTγ soft > 25 GeV Resummed (NNLL) Fixed-order (NLO) DIPHOX (direct+frag.) 10 -2 10 -1 1 0 20 40 60 80 100 120 (a) (b) pp → γγX, √S = 14 TeV ∆φ (rad) dσ/d∆φ (pb/rad) Resummed (NNLL) Fixed-order (NLO) DIPHOX 1 10 10 2 0 0.5 1 1.5 2 2.5 3 ( ) Figure 13: In v arian t mass, transv erse momen tum, and ∆φ distributions from our resummed al- ulation and from DIPHO X at the LHC. W e sho w our xed-order (dashed) and resummed (solid) distributions. All initial states are in luded in b oth al ulations, and the single-γ fragmen tation on tributions are in luded in DIPHO X. 26 10 -2 10 -1 1 50 75 100 125 150 175 200 225 250 pp → γγX, √S = 14 TeV Q (GeV) dσ/dQ (pb/GeV) Resummed (NNLL) Fixed order (NLO) DIPHOX (direct+frag.) 10 -2 10 -1 1 0 20 40 60 80 100 120 pp → γγX, √S = 14 TeV QT (GeV) dσ/dQT (pb/GeV) Resummed (NNLL) Fixed order (NLO) DIPHOX (direct+frag.) (a) (b) Figure 14: In v arian t mass and transv erse momen tum distributions from our resummed, NLO, and DIPHO X al ulations at the LHC, with the QT < Q onstrain t imp osed. of the gg + gqS on tribution in the resummed al ulation. F or QT ̸= 0, the full DIPHO X QT distribution in Fig. 13(b) is determined en tirely b y dire t plus fragmen tation on tributions (the same as in Fig. 12 (a)), b e ause the LO gg ross se tion on tributes at QT = 0 only . In on trast, our resummed gg + gqS on tribution mo dies the ev en t rate at all QT . The resummed and DIPHO X rates are in a reasonable agreemen t for 1.5 ≲∆φ ≲2.5 , as sho wn in Fig. 13( ). In the ∆φ →π limit, the xed-order rates in DIPHO X div erge b e ause of the singularities at small QT , while our resummed rate yields a nite v alue. F or ∆φ < 1.5 , the DIPHO X ross se tion is enhan ed b y photon fragmen tation on tributions. As at the energy of the T ev atron, theoreti al un ertain ties are greater at small ∆φ. Predi tions are most reliable when QT < Q (and the angles θ∗ and φ∗ are a w a y from 0 or π ). With the QT < Q ut imp osed, the un ertain large-QT photon fragmen tation on tributions are suppressed, and the resummed and DIPHO X ross se tions agree w ell at large QT ( f. Fig. 14 (b)). The QT distribution in the in terv al 70 < Q < 115 Ge V with the QT < Q onstrain t is sho wn in Fig. 10 b y a dotted urv e. Distributions in the other t w o mass bins in Fig. 10 are essen tially not ae ted b y this ut in the QT range presen ted. Our al ulation aptures the dominan t on tributions to γγ pro du tion at the LHC. Ho w- ev er, as w e noted, dire t qg s attering, ev aluated at order O(αs) in our al ulation, is the leading s attering hannel in the region relev an t for the Higgs b oson sear h at the LHC. It is imp ortan t to emphasize that the nal-state ollinear radiation is not the main reason b ehind the enhan emen t of the qg rate, whi h is in reased predominan tly b y on tributions from non-singular phase spa e regions. Consequen tly , the q ̄ q + qg dire t rate is only w eakly sensitiv e to adjustmen ts in the isolation parameters Eiso T and ∆R [10 ℄. The unkno wn O(α2 s) on tributions to qg s attering ma y b e non-negligible, and it w ould b e v aluable to ompute them in the future when LHC data are a v ailable. 27 0 0.005 0.01 0.015 0.02 0.025 0.03 0.035 0 10 20 30 40 50 60 70 pp → hX → γγX, √S = 14 TeV QT (GeV) σ-1 dσ/dQT (1/GeV) Signal Background 0 0.05 0.1 0.15 0.2 0.25 0.3 0.35 0.4 0.45 0 0.5 1 1.5 2 2.5 3 pp → hX → γγX, √S = 14 TeV φ* (rad) σ-1 dσ/dφ* (1/rad) Signal Background 0 0.05 0.1 0.15 0.2 0.25 0.3 0.35 0.4 -3 -2 -1 0 1 2 3 pp → hX → γγX, √S = 14 TeV ∆y σ-1 dσ/d∆y Signal Background 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 -1 -0.8 -0.6 -0.4 -0.2 0 0.2 0.4 0.6 0.8 1 pp → hX → γγX, √S = 14 TeV cos θ * σ-1 dσ/d(cos θ *) Signal Background Figure 15: Comparison of the normalized Higgs b oson signal and diphoton ba kground distributions at the LHC, b oth omputed at NNLL a ura y . The Higgs b oson mass is tak en to b e mH = 130 Ge V, and the ba kground is al ulated for 128 < Q < 132 Ge V. C. Comparison with Higgs b oson signal distributions W e highligh t some similarities and dieren es b et w een the pro du tion sp e tra for the Higgs b oson signal and the QCD ba kground dis ussed in this pap er. W e fo us on the diphoton de a y mo de of a SM Higgs b oson pro du ed from the dominan t gluon-fusion me h- anism, gg →h0 →γγ , where the Higgs b oson pro du tion ross se tion is al ulated at the same order of pre ision as the QCD on tin uum ba kground. W e in lude initial-state QCD on tributions at O(α3 s) (NLO) and resummed on tributions at NNLL a ura y . These on- 28 tributions are also o ded in ResBos [38℄, and w e an apply the same uts on the momen ta of the photons to the signal and ba kground. Our ndings should remain broadly appli able after the NNLO orre tions to Higgs b oson pro du tion [39, 40℄ are in luded. W e ompute the ba kground in the range 128 < Q < 132 Ge V, and the signal at a xed Higgs b oson mass mH = 130 Ge V. W e imp ose the kinemati sele tion QT < Q , but its inuen e is not imp ortan t at the large v alues of diphoton mass of in terest here. The ross se tion times bran hing ratio for the Higgs b oson signal is substan tially smaller than the QCD on tin uum. T o b etter illustrate their dieren es, Fig. 15 presen ts distributions normalized to the resp e tiv e total rates. The top-left panel sho ws normalized transv erse momen tum distributions of photon pairs. The signal and ba kground p eak at ab out 12 and 5 Ge V, resp e tiv ely . The a v erage v alues of QT are 26 and 23 Ge V, omputed o v er the range 0 to 75 Ge V. Dieren es in the shap es of these QT sp e tra an b e attributed to the dieren t stru ture of the leading terms in the initial-state Sudak o v exp onen ts and to the ee ts of nal-state photon fragmen tation. The Higgs b oson signal is on trolled b y the hara teristi s of the gg+gqS initial state, whereas the on tin uum is on trolled primarily b y the q ̄ q+qg initial state. Be ause the dominan t Sudak o v o e ien t A(k) q ∝CF in the q ̄ q ase is smaller than A(k) g = (CA/CF)A(k) q in the gg ase, the resummed q ̄ q + qg initial-state radiation pro du es narro w er QT distributions than gg + gqS initial-state radiation. Ab out 80% of the diphoton rate is pro vided b y the q ̄ q + qg hannel, implying a narro w er QT distribution of the ba kground, if based on the v alue of A(k) alone. The on tin uum ba kground on tribution is also enhan ed b y nal-state radiation in qg s attering. The QT prole of the nal-state ollinear terms dep ends more on the isolation mo del (in luding Eiso T and ∆R ) than on the initial-state Sudak o v exp onen t. F or the nominal A TLAS uts, the nal-state ollinear on tribution in our al ulation hardens the ba kground QT distribution, diminishing its dieren e from the Higgs b oson signal distribution. More ee tiv e isolation ma y redu e the impa t of the nal-state radiation on QT distributions. Another dieren e b et w een the signal and on tin uum is observ ed in the distribution in the azim uthal angle of the photons, su h as the angle φ∗ in the Collins-Sop er frame sho wn in the top-righ t panel of Fig. 15. This distribution is qualitativ ely the same if in tegrated o v er all QT , as in Fig. 15 , or in tegrated ab o v e some minimal QT v alue, as in an exp erimen tal measuremen t. Without isolation imp osed, the spin-0 Higgs b oson signal m ust b e at in φ∗, but the QCD ba kground p eaks to w ard φ∗= 0 and π (i.e., sin φ∗= 0) as a result of the nal-state qg singularit y . 2, 3 Isolation uts suppress b oth the signal and the ba kground for sin φ∗< sin ∆R . The result is a signal distribution with a broad p eak near φ∗= π/2 , while the ba kground fa v ors v alues of φ∗ near 0 and π . A sele tion of ev en ts with φ∗ in the vi init y of π/2 , and QT large enough, helps to redu e the impa t of the qg ba kground.In the lab frame, a related distribution is in the v ariable |φ3T −φ4T| ,where φiT is the azim uthal angle b et w een ⃗ pγi T and ⃗ QT . The signal (ba kground) pro esses tend to ha v e more ev en ts with large 2 By denition, the re oil parton 5 alw a ys lies in the Oxz plane (has zero azim uthal angle) in the Collins- Sop er frame. F or the nal-state singularit y to o ur at NLO, the photons should b e in the same plane with 5, i.e., ha v e sin φ∗= 0 . 3 One of the resummed stru ture fun tions for the gg ba kground is mo dulated b y cos 2φ∗ (see Se . I I B), but w e negle t this mo dulation in our presen t al ulation. 29 (small) magnitude of |φ3T −φ4T| . A third p oten tial dis riminator b et w een the signal and ba kground is the dieren e in the rapidities ∆y = yhard −ysoft of the photons with harder and softer v alues of pγ T in the lab frame, al ulated on an ev en t b y ev en t basis. This distribution is displa y ed in the lo w er- left frame of Fig. 15. The ba kground distribution p eaks at the origin, while the signal is almost at o v er a wide range of ∆y . Dieren t spin orrelations in the de a y of a spin-0 Higgs b oson from those hara teristi of QCD ba kground pro esses are the sour e of this distin tion. Dis rimination based on this dieren e an impro v e the statisti al signi an e of the signal [10 ℄. W e note that our resummed al ulation do es not exhibit the kinemati singularit y at ∆y ≈2 presen t in the nite-order ross se tion and ob vious in Fig. 10 of Ref. [10℄, where the distribution with resp e t to y∗≡∆y/2 is sho wn. The dis on tin uit y in dσ/dQT aused b y the nite-order appro ximation is resummed in our al ulation, yielding a smo oth result. The rapidit y dieren e is related to the s attering angle in the Collins-Sop er frame: tanh(∆y/2) = cos θ∗ when QT is zero. The cos θ∗ distribution is sho wn in the lo w er-righ t frame of Fig. 15. The dieren e b et w een the signal and ba kground rates is ev en more pronoun ed in this v ariable, learly expressing the dieren e in the spin orrelations of the systems pro du ing the photons. A omparison of QT distributions in the top-left panel of Fig. 15 suggests that the signal v ersus ba kground ratio w ould b e enhan ed if a ut is made to restri t QT > 10 Ge V. After applying this ut, w e ma y again examine the distributions in the rapidit y dieren e of the t w o photons, the s attering angle in the Collins-Sop er frame, and the azim uthal angle distribution of the photons in the Collins-Sop er frame. The results are qualitativ ely similar to those in Fig. 15 and are not sho wn here. A more e ien t pro edure to in rease the Higgs b oson dis o v ery signi an e is to apply a sim ultaneous lik eliho o d analysis to sev eral kinemati distributions. Based on the presen t dis ussion, w e w ould argue that the resummed QT , φ∗ , and cos θ∗ distributions are go o d dis riminators b et w een the Higgs b oson signal and ba kground in su h an analysis. IV. CONCLUSIONS The theoreti al study of on tin uum diphoton pro du tion in hadron ollisions is in teresting and v aluable for sev eral reasons: there are data from the CDF and DØ ollab orations at F ermilab with the promise of larger ev en t samples; there are new theoreti al hallenges asso iated with all-orders soft-gluon resummation of t w o-lo op amplitudes; and on tin uum diphotons are a large standard-mo del ba kground ab o v e whi h one ma y observ e the pro du ts of Higgs b oson de a y in to a pair of photons at the LHC. In this pap er and Refs. [2, 3℄, w e presen t our al ulation of the fully dieren tial ross se tion dσ/(dQdQTdydΩ∗) as a fun tion of the mass Q , transv erse momen tum QT , and rapidit y y of the diphoton system, and of the p olar and azim uthal angles of the individual photons in the diphoton rest frame. Our basi QCD hard-s attering subpro esses are all omputed at next-to-leading order (NLO) in the strong oupling strength αs , and w e in lude the state-of-art resummation of initial-state gluon radiation to all orders in αs , v alid to next- to-next-to-leading logarithmi a ura y (NNLL). Resummation is essen tial for a realisti and reliable al ulation of the QT dep enden e in the region of small and in termediate v alues of QT , where the ross se tion is greatest. It is also needed for stable estimates of the ee ts of 30 exp erimen tal a eptan e on distributions in the diphoton in v arian t mass and other v ariables. Our analyti al results are in luded in a fully up dated ResBos o de [31, 32℄. This n u- meri al program allo ws us to imp ose sele tions on the transv erse momen ta and angles of the nal photons, in order to mat h those emplo y ed b y the CDF and DØ ollab orations, as w ell as those an ti ipated in exp erimen ts at the LHC. Our predi tions are esp e ially p ertinen t in the region QT ≲Q . W e sho w that our results at the T ev atron and at the LHC are insensitiv e to the hoi e of the resummation s heme and of the nonp erturbativ e fun tions required b y the in tegration in to the region of large impa t parameter. The published ollider data are presen ted in the form of singly dieren tial distributions. W e follo w suit in order to mak e omparisons, and w e nd ex ellen t agreemen t with data, as sho wn in Se . I I I. W e re ommend that more dieren tial studies b e made, and, to motiv ate these, w e presen t predi tions for the hanges exp e ted in the QT distribution as a fun tion of mass Q , and for the dep enden e of the mean transv erse momen tum on Q . W e mak e predi tions for on tin uum diphoton mass, transv erse momen tum, and angular distributions at the energy of the LHC. Moreo v er, w e on trast in Fig. 15 the shap es of some of these distributions with those exp e ted from the de a y of a Higgs b oson. The distin t features of the signal and ba kground suggest that that the Higgs b oson dis o v ery signi an e an b e in reased via a sim ultaneous lik eliho o d analysis of sev eral kinemati distributions, parti ularly the resummed QT , φ∗ , and cos θ∗ distributions. Another approa h to the omputation of on tin uum diphoton pro du tion is presen ted b y the DIPHO X ollab oration [14℄. This al ulation in ludes b oth the dire t pro du tion of photons from hard-s attering pro esses and the photons pro du ed from fragmen tation of (an ti-)quarks or gluons. It is v alid at NLO, ex ept for the gg subpro ess, whi h is in luded at leading order only . The DIPHO X o de is useful for rates in tegrated o v er transv erse mo- men tum, but it is not designed to predi t the transv erse momen tum distribution or other distributions sensitiv e to the region in whi h the transv erse momen tum of the diphoton pair is small. Compared to a xed-order al ulation, su h as dire t photon pair al ulation in DIPHO X, our al ulation impro v es the theoreti al predi tion for ev en t distributions whi h are sensitiv e to the region of lo w QT . F urthermore, our al ulation in ludes the NLO on- tribution from the om bined gg + gqS hannel, leading to more a urate predi tions at the LHC, where the gg + gqS on tribution is generally not small. Only isolate d, not in lusiv e, photons are iden tied exp erimen tally . While it is straigh tfor- w ard to dene an isolated photon in a giv en exp erimen t, it is hallenging to devise a theoret- i al pres ription that an mat h the exp erimen tal denition, short of rst understanding the long-distan e dynami s of QCD. The isolated diphoton pro du tion rate is mo deled in the DIPHO X o de b y in luding expli it photon fragmen tation fun tion on tributions at NLO a ura y . A short oming of this approa h (as w ell as of our metho d for treating isolation) is that one annot a urately represen t photon fragmen tation without in luding nal-state parton sho w ering in the presen e of isolation onstrain ts. There is inevitable am biguit y and un ertain t y in the hoi e of the isolation energy used to dene an isolated photon the- oreti ally for omparison with the isolated photon measured exp erimen tally . As sho wn in Se . I I I, the DIPHO X ross se tion an v ary b y a large fa tor in some regions of phase spa e at the T ev atron when Eiso T is hanged from 1 Ge V to 4 Ge V. Our approa h is to on en trate on ph ysi al observ ables whi h are less sensitiv e to the frag- men tation on tributions. W e apply the  ollinear subtra tion pres ription or the smo oth- one isolation pres ription to dene an isolated photon in our al ulation. W e nd go o d 31 agreemen t with the data, ex ept in the region with small Q and ∆φ < π/2 , onsisten t with our theoreti al exp e tation that higher-order dire t photon pro du tion and photon fragmen- tation on tributions an strongly mo dify the rate of diphoton pairs in this region. W e suggest that m u h b etter agreemen t with urren t and future data will b e obtained if an addition requiremen t of QT < Q is applied. With this ut, the fragmen tation on tributions are largely suppressed. With the ut QT < Q ut applied to the T ev atron data, the enhan emen t at lo w ∆φ and in termediate QT (the shoulder region) should disapp ear. W e urge the CDF and DØ ollab orations to apply these uts in future analyses of the diphoton data. In our al ulation, w e iden tify an in teresting spin-ip on tribution (with cos 2φ∗ dep en- den e) in the gg hannel, f. Ref. [3℄, and w e suggest that measuremen ts b e made of the distribution of φ∗ as a fun tion of QT . All-orders resummation of the gluon spin-ip on tri- bution ma y b e needed when a larger statisti al sample of diphoton data is a v ailable. The on tributions from qg + ̄ qg pro esses b e ome more imp ortan t at the LHC than at the T ev atron, and al ulations at a higher order of pre ision ma y b e w arran ted ev en tually . T o impro v e the theoreti al predi tion in the region of phase spa e with QT < Eiso T and φ∗∼0 or π , a join t resummation al ulation is needed in whi h the ee ts of b oth the initial- and nal-state m ultiple parton emissions are treated sim ultaneously . Although w e emphasize that b etter agreemen t of our predi tions with data should b e apparen t if the sele tion QT < Q is made, w e also p oin t out that the region QT > Q should manifest v ery in teresting ph ysi s of a dieren t sort. A dditional logarithmi singularities of the form log(Q/QT) are en oun tered in the region QT ≫Q . These logarithms are asso iated with the fragmen tation of a parton arrying large transv erse momen tum QT in to a system of small in v arian t mass Q [27, 28 ℄, a ligh t γγ pair in our ase. Small-Q γγ fragmen tation of this kind is not implemen ted y et in theoreti al mo dels. Exp erimen tal study of the region QT ≫Q ma y oer the opp ortunit y to measure the parton to t w o-photon fragmen tation fun tion Dγγ(z1, z2). A kno wledgmen ts Resear h in the High Energy Ph ysi s Division at Argonne is supp orted in part b y US Departmen t of Energy , Division of High Energy Ph ysi s, Con tra t DE-A C02-06CH11357. The w ork of C.-P . Y. is supp orted b y the U. S. National S ien e F oundation under gran t PHY-0555545. C. B. thanks the F ermilab Theoreti al Ph ysi s Departmen t, where a part of this w ork w as done, for its hospitalit y and nan ial supp ort. The diagrams in Figs. 1 and 2 w ere dra wn with aid of the program Jax oDra w [41℄. App endix A: SUMMAR Y OF PER TURBA TIVE COEFFICIENTS In this app endix w e presen t an o v erview of the p erturbativ e QCD expressions for the resummed and asymptoti ross se tions used in our omputation. The fun tions Aa(C1, ̄ μ), Ba(C1, C2, ̄ μ), Ca/a1(x, b; C1/C2, μ), and ha(Q, θ∗) are in tro du ed in Se . I I. These fun tions are deriv ed as p erturbativ e expansions in the small parameter 32 αs/π : Aa(C1, ̄ μ) = ∞ X n=1 A(n) a (C1) αs( ̄ μ) π n ; Ba(C1, C2, ̄ μ) = ∞ X n=1 B(n) a (C1, C2) αs( ̄ μ) π n ; Ca/a1  x, b; C1 C2 , μ  = ∞ X n=0 C(n) a/a1(x, bμ, C1 C2 ) αs(μ) π n ; ha(Q, θ∗) = ∞ X n=0 h(n) a (θ∗) αs(Q) π n . The v alue of a p erturbativ e o e ien t F (n) for a set of s ales C1/b and C2Q an b e expressed in terms of its v alue F (n,c) obtained for the  anoni al om bination C1 = c0 and C2 = 1. Here c0 ≡2e−γE ≈1.123, where γE = 0.5772 . . . is the Euler onstan t. The relationships b et w een F (n) and F (n,c) tak e the form A(1) a (C1) = A(1,c) a ; (A1) A(2) a (C1) = A(2,c) a −A(1,c) a β0 ln c0 C1 ; (A2) A(3) a (C1) = A(3,c) a −2A(2,c) a β0 ln c0 C1 −A(1,c) a 2 β1 ln c0 C1 + A(1,c) a β2 0  ln c0 C1 2 ; (A3) B(1) a (C1, C2) = B(1,c) a −A(1,c) a ln c2 0C2 2 C2 1 ; (A4) B(2) a (C1, C2) = B(2,c) a −A(2,c) a ln c2 0C2 2 C2 1 + β0  A(1,c) a ln2 c0 C1 + B(1,c) a ln C2 −A(1,c) a ln2 C2  ; (A5) C(1) a/a1(x, bμ, C1 C2 ) = C(1,c) a/a1(x) + δaa1δ(1 −x) B(1,c) a 2 ln c2 0C2 2 C2 1 −A(1,c) a 4  ln c2 0C2 2 C2 1 2! −Pa/a1(x) ln μb c0 . (A6) They dep end on the QCD b eta-fun tion o e ien ts β0 = (11Nc −2Nf)/6 , β1 = (17N2 c − 5NcNf −3CFNf)/6 for Nc olors and Nf a tiv e quark a v ors, with CF = (N2 c −1)/(2Nc) = 4/3 for Nc = 3. The relev an t O(αs) splitting fun tions Pa/a1(x) are Pq/q = CF 1 + z2 1 −x  + ; Pq/g = 1 2(1 + 2x + 2x2); Pg/qS = CF (1 −x)2 + 1 x ; (A7) Pg/g = 2CA  x (1 −x)+ + 1 −x x + x(1 −x)  + β0δ(1 −x). (A8) The o e ien ts h(1)(θ∗), B(2) , and C(1) dep end on the resummation s heme. The hard- s attering fun tion is ha(Q, θ∗) = 1 + δs αs(Q) π Va(θ∗) 4 + ..., (A9) where δs = 0 in the CSS s heme and δs = 1 in the CF G s heme. The fun tions Vq(θ∗) for q ̄ q →γγ s attering and Vg(θ∗) for gg →γγ s attering are deriv ed in Refs. [12℄ and [13℄, resp e tiv ely . 33 F or the q ̄ q + qg initial state, w e obtain the follo wing expressions for the o e ien ts A , B , and C : A(1,c) q = CF; A(2,c) q = CF 67 36 −π2 12  CA −5 9TRNf  ; (A10) A(3,c) q = C2 FNf 2  ζ(3) −55 48  −CFN2 f 108 + C2 ACF 11ζ(3) 24 + 11π4 720 −67π2 216 + 245 96  + CACFNf  −7ζ(3) 12 + 5π2 108 −209 432  ; B(1,c) q = −3 2CF; B(2,c) q = −1 2  CF 2 3 8 −π2 2 + 6ζ(3)  + CFCA 17 24 + 11π2 18 −3ζ(3)  −CFNfTR 1 6 + 2π2 9  + β0 CFπ2 12 + (1 −δs)Vq(θ∗) 4  ; C(0) j/k(x) = δjkδ(1 −x); C(0) j/g(x) = 0; C(1,c) j/k (x) = δjk CF 2 (1 −x) + δ(1 −x)(1 −δs)Vq(θ∗) 4  ; C(1,c) j/g (x) = 1 2x(1 −x). (A11) Here CA = Nc, TR = 1/2 , and the Riemann onstan t ζ(3) = 1.202 . . . . The C fun tions are giv en for j, k = u, ̄ u, d, ̄ d, . . . . These o e ien ts are tak en from [12 , 42 , 43 ℄. Similarly , the A , B , and C o e ien ts in the gg + gqS hannel are A(k,c) g = (CA/CF)A(k,c) q , for k = 1, 2, 3; B(1,c) g = −β0; B(2,c) g = −1 2  C2 A 8 3 + 3ζ(3)  −CFTRNf −4 3CATRNf  + β0 CAπ2 12 + (1 −δs)Vg(θ∗) 4  ; C(0) g/a (x) = δgaδ(1 −x); C(1,c) g/g (x) = δ(1 −x)(1 −δs)Vg(θ∗) 4 ; C(1,c) g/qS (x) = CF 2 x. (A12) These o e ien ts are tak en from Refs. [12, 13, 44 , 45 ℄. App endix B: COMPONENTS OF THE ASYMPTOTIC CR OSS SECTIONS In Se . I I B w e in tro du e asymptoti small-QT appro ximations for the q ̄ q+qg and gg+gqS NLO ross se tions, Aq ̄ q(Q, QT, y, Ω∗) = X i=u, ̄ u,d, ̄ d,... Σi(θ∗) S n δ( ⃗ QT)Fi,δ(Q, y, θ∗) + Fi,+(Q, y, QT) o , (B1) 34 and Agg(Q, QT, y, Ω∗) = 1 S  Σg(θ∗) h δ( ⃗ QT)Fg,δ(Q, y, θ∗) + Fg,+(Q, y, QT) i +Σ′ g(θ∗, φ∗)F ′ g(Q, y, QT)  . (B2) The fun tions F in these equations are dened as Fi,δ(Q, y, θ∗) ≡fqi/h1(x1, μF)f ̄ qi/h2(x2, μF)  1 + 2αs π h(1) q (θ∗)  + αs π h C(1,c) qi/a ⊗fa/h1 i (x1, μF) −  Pqi/a ⊗fa/h1  (x1, μF) ln μF Q  f ̄ qi/h2(x2, μF) +fqi/h1(x1, μF) h C(1,c) ̄ qi/a ⊗fa/h2 i (x2, μF) −  P ̄ qi/a ⊗fa/h2  (x2, μF) ln μF Q  ; (B3) Fq,+ = 1 2π αs π  fqi/h1(x1, μF)f ̄ qi/h2(x2, μF)  A(1,c) q  1 Q2 T ln Q2 Q2 T  + + B(1,c) q  1 Q2 T  +  +  1 Q2 T  +  Pqi/a ⊗fa/h1  (x1, μF) f ̄ qi/h2(x2, μF) +fqi/h1(x1, μF)  P ̄ qi/a ⊗fa/h2  (x2, μF)  ; (B4) Fg,δ ≡fg/h1(x1, μF)fg/h2(x2, μF)  1 + 2αs π h(1) g (θ∗)  + αs π h C(1,c) g/a ⊗fa/h1 i (x1, μF) −  Pg/a ⊗fa/h1  (x1, μF) ln μF Q  fg/h2(x2, μF) +fg/h1(x1, μF) h C(1,c) g/a ⊗fa/h2 i (x2, μF) −  Pg/a ⊗fa/h2  (x2, μF) ln μF Q  ; (B5) Fg,+ = 1 2π αs π  fg/h1(x1, μF)fg/h2(x2, μF)  A(1,c) g  1 Q2 T ln Q2 Q2 T  + + B(1,c) g  1 Q2 T  +  +  1 Q2 T  +  Pg/a ⊗fa/h1  (x1, μF) fg/h2(x2, μF) +fg/h1(x1, μF)  Pg/a ⊗fa/h2  (x2, μF)  ; (B6) and F ′ g,+ = 1 2π αs π  1 Q2 T  +  P ′ g/g ⊗fg/h1  (x1, μF) fg/h2(x2, μF) +fg/h1(x1, μF)  P ′ g/g ⊗fg/h2  (x2, μF)  . (B7) 35 Expressions for the o e ien ts A(1,c) a , B(1,c) a , h(1) a (θ∗), C(1,c) a/a′ (x), and splitting fun tions Pa/c(x), are listed in App endix A. Summation o v er all relev an t parton a v ors a′ = g, u, ̄ u,d, ̄ d, ... for a = q and a′ = g, qS for a = g is assumed. In addition, the φ∗ -dep enden t part Σ′ g(θ∗, φ∗)F ′ g(Q, y, QT) of the gg + gqS asymptoti ross se tion Agg on tains a splitting fun tion P ′ gg(x) = 2CA(1 −x)/x, (B8) on tributed b y the in terferen e of splitting amplitudes with opp osite gluon p olarizations in the heli it y amplitude formalism [46, 47 , 48 , 49℄. The origin and b eha vior of this spin-ip fun tion are dis ussed in Ref. [3℄. [1℄ D. A osta et al. (CDF Collab oration), Ph ys. Rev. Lett. 95, 022003 (2005). [2℄ C. Balazs, E. L. Berger, P . Nadolsky , and C. P . Y uan, Ph ys. Lett. B637, 235 (2006). [3℄ P . Nadolsky , C. Balazs, E. Berger, and C. P . Y uan (2007), hep-ph/0702003. [4℄ P . Auren he, A. Douiri, R. Baier, M. F on tannaz, and D. S hi, Z. 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0704.0002
Louis Theran
Ileana Streinu and Louis Theran
Sparsity-certifying Graph Decompositions
To appear in Graphs and Combinatorics
null
null
null
math.CO cs.CG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We describe a new algorithm, the $(k,\ell)$-pebble game with colors, and use it obtain a characterization of the family of $(k,\ell)$-sparse graphs and algorithmic solutions to a family of problems concerning tree decompositions of graphs. Special instances of sparse graphs appear in rigidity theory and have received increased attention in recent years. In particular, our colored pebbles generalize and strengthen the previous results of Lee and Streinu and give a new proof of the Tutte-Nash-Williams characterization of arboricity. We also present a new decomposition that certifies sparsity based on the $(k,\ell)$-pebble game with colors. Our work also exposes connections between pebble game algorithms and previous sparse graph algorithms by Gabow, Gabow and Westermann and Hendrickson.
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2008-12-13
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Sparsity-certifying Graph Decompositions Ileana Streinu1∗, Louis Theran2 1 Department of Computer Science, Smith College, Northampton, MA. e-mail: streinu@cs.smith.edu 2 Department of Computer Science, University of Massachusetts Amherst. e-mail: theran@cs.umass.edu Abstract. We describe a new algorithm, the (k,l)-pebble game with colors, and use it to obtain a charac- terization of the family of (k,l)-sparse graphs and algorithmic solutions to a family of problems concern- ing tree decompositions of graphs. Special instances of sparse graphs appear in rigidity theory and have received increased attention in recent years. In particular, our colored pebbles generalize and strengthen the previous results of Lee and Streinu [12] and give a new proof of the Tutte-Nash-Williams characteri- zation of arboricity. We also present a new decomposition that certifies sparsity based on the (k,l)-pebble game with colors. Our work also exposes connections between pebble game algorithms and previous sparse graph algorithms by Gabow [5], Gabow and Westermann [6] and Hendrickson [9]. 1. Introduction and preliminaries The focus of this paper is decompositions of (k,l)-sparse graphs into edge-disjoint subgraphs that certify sparsity. We use graph to mean a multigraph, possibly with loops. We say that a graph is (k,l)-sparse if no subset of n′ vertices spans more than kn′ −ledges in the graph; a (k,l)-sparse graph with kn′ −ledges is (k,l)-tight. We call the range k ≤l≤2k −1 the upper range of sparse graphs and 0 ≤l≤k the lower range. In this paper, we present efficient algorithms for finding decompositions that certify sparsity in the upper range of l. Our algorithms also apply in the lower range, which was already ad- dressed by [3, 4, 5, 6, 19]. A decomposition certifies the sparsity of a graph if the sparse graphs and graphs admitting the decomposition coincide. Our algorithms are based on a new characterization of sparse graphs, which we call the pebble game with colors. The pebble game with colors is a simple graph construction rule that produces a sparse graph along with a sparsity-certifying decomposition. We define and study a canonical class of pebble game constructions, which correspond to previously studied decompositions of sparse graphs into edge disjoint trees. Our results provide a unifying framework for all the previously known special cases, including Nash-Williams- Tutte and [7, 24]. Indeed, in the lower range, canonical pebble game constructions capture the properties of the augmenting paths used in matroid union and intersection algorithms[5, 6]. Since the sparse graphs in the upper range are not known to be unions or intersections of the matroids for which there are efficient augmenting path algorithms, these do not easily apply in ∗Research of both authors funded by the NSF under grants NSF CCF-0430990 and NSF-DARPA CARGO CCR-0310661 to the first author. arXiv:0704.0002v2 [math.CO] 13 Dec 2008 2 Ileana Streinu, Louis Theran Term Meaning Sparse graph G Every non-empty subgraph on n′ vertices has ≤kn′ −ledges Tight graph G G = (V,E) is sparse and |V| = n, |E| = kn−l Block H in G G is sparse, and H is a tight subgraph Component H of G G is sparse and H is a maximal block Map-graph Graph that admits an out-degree-exactly-one orientation (k,l)-maps-and-trees Edge-disjoint union of ltrees and (k −l) map-grpahs lTk Union of ltrees, each vertex is in exactly k of them Set of tree-pieces of an lTk induced on V ′ ⊂V Pieces of trees in the lTk spanned by E(V ′) Proper lTk Every V ′ ⊂V contains ≥lpieces of trees from the lTk Table 1. Sparse graph and decomposition terminology used in this paper. the upper range. Pebble game with colors constructions may thus be considered a strengthening of augmenting paths to the upper range of matroidal sparse graphs. 1.1. Sparse graphs A graph is (k,l)-sparse if for any non-empty subgraph with m′ edges and n′ vertices, m′ ≤ kn′ −l. We observe that this condition implies that 0 ≤l≤2k −1, and from now on in this paper we will make this assumption. A sparse graph that has n vertices and exactly kn−ledges is called tight. For a graph G = (V,E), and V ′ ⊂V, we use the notation span(V ′) for the number of edges in the subgraph induced by V ′. In a directed graph, out(V ′) is the number of edges with the tail in V ′ and the head in V −V ′; for a subgraph induced by V ′, we call such an edge an out-edge. There are two important types of subgraphs of sparse graphs. A block is a tight subgraph of a sparse graph. A component is a maximal block. Table 1 summarizes the sparse graph terminology used in this paper. 1.2. Sparsity-certifying decompositions A k-arborescence is a graph that admits a decomposition into k edge-disjoint spanning trees. Figure 1(a) shows an example of a 3-arborescence. The k-arborescent graphs are described by the well-known theorems of Tutte [23] and Nash-Williams [17] as exactly the (k,k)-tight graphs. A map-graph is a graph that admits an orientation such that the out-degree of each vertex is exactly one. A k-map-graph is a graph that admits a decomposition into k edge-disjoint map- graphs. Figure 1(b) shows an example of a 2-map-graphs; the edges are oriented in one possible configuration certifying that each color forms a map-graph. Map-graphs may be equivalently defined (see, e.g., [18]) as having exactly one cycle per connected component.1 A (k,l)-maps-and-trees is a graph that admits a decomposition into k −ledge-disjoint map-graphs and lspanning trees. Another characterization of map-graphs, which we will use extensively in this paper, is as the (1,0)-tight graphs [8, 24]. The k-map-graphs are evidently (k,0)-tight, and [8, 24] show that the converse holds as well. 1 Our terminology follows Lov ́ asz in [16]. In the matroid literature map-graphs are sometimes known as bases of the bicycle matroid or spanning pseudoforests. Sparsity-certifying Graph Decompositions 3 a c b e d (a) 1 2 3 4 (b) (c) Fig. 1. Examples of sparsity-certifying decompositions: (a) a 3-arborescence; (b) a 2-map-graph; (c) a (2,1)-maps-and-trees. Edges with the same line style belong to the same subgraph. The 2-map-graph is shown with a certifying orientation. A lTk is a decomposition into ledge-disjoint (not necessarily spanning) trees such that each vertex is in exactly k of them. Figure 2(a) shows an example of a 3T2. Given a subgraph G′ of a lTk graph G, the set of tree-pieces in G′ is the collection of the components of the trees in G induced by G′ (since G′ is a subgraph each tree may contribute multiple pieces to the set of tree-pieces in G′). We observe that these tree-pieces may come from the same tree or be single-vertex "empty trees." It is also helpful to note that the definition of a tree-piece is relative to a specific subgraph. An lTk decomposition is proper if the set of tree-pieces in any subgraph G′ has size at least l. Figure 2(a) shows a graph with a 3T2 decomposition; we note that one of the trees is an isolated vertex in the bottom-right corner. The subgraph in Figure 2(b) has three black tree- pieces and one gray tree-piece: an isolated vertex at the top-right corner, and two single edges. These count as three tree-pieces, even though they come from the same back tree when the whole graph in considered. Figure 2(c) shows another subgraph; in this case there are three gray tree-pieces and one black one. Table 1 contains the decomposition terminology used in this paper. The decomposition problem. We define the decomposition problem for sparse graphs as tak- ing a graph as its input and producing as output, a decomposition that can be used to certify spar- sity. In this paper, we will study three kinds of outputs: maps-and-trees; proper lTk decompositions; and the pebble-game-with-colors decomposition, which is defined in the next section. 2. Historical background The well-known theorems of Tutte [23] and Nash-Williams [17] relate the (k,k)-tight graphs to the existence of decompositions into edge-disjoint spanning trees. Taking a matroidal viewpoint, 4 Ileana Streinu, Louis Theran 0 1 2 3 4 5 (a) 0 1 2 3 4 5 (b) 0 1 2 3 4 5 (c) Fig. 2. (a) A graph with a 3T2 decomposition; one of the three trees is a single vertex in the bottom right corner. (b) The highlighted subgraph inside the dashed countour has three black tree-pieces and one gray tree-piece. (c) The highlighted subgraph inside the dashed countour has three gray tree-pieces (one is a single vertex) and one black tree-piece. Edmonds [3, 4] gave another proof of this result using matroid unions. The equivalence of maps- and-trees graphs and tight graphs in the lower range is shown using matroid unions in [24], and matroid augmenting paths are the basis of the algorithms for the lower range of [5, 6, 19]. In rigidity theory a foundational theorem of Laman [11] shows that (2,3)-tight (Laman) graphs correspond to generically minimally rigid bar-and-joint frameworks in the plane. Tay [21] proved an analogous result for body-bar frameworks in any dimension using (k,k)-tight graphs. Rigidity by counts motivated interest in the upper range, and Crapo [2] proved the equivalence of Laman graphs and proper 3T2 graphs. Tay [22] used this condition to give a direct proof of Laman's theorem and generalized the 3T2 condition to all lTk for k ≤l≤2k−1. Haas [7] studied lTk decompositions in detail and proved the equivalence of tight graphs and proper lTk graphs for the general upper range. We observe that aside from our new pebble- game-with-colors decomposition, all the combinatorial characterizations of the upper range of sparse graphs, including the counts, have a geometric interpretation [11, 21, 22, 24]. A pebble game algorithm was first proposed in [10] as an elegant alternative to Hendrick- son's Laman graph algorithms [9]. Berg and Jordan [1], provided the formal analysis of the pebble game of [10] and introduced the idea of playing the game on a directed graph. Lee and Streinu [12] generalized the pebble game to the entire range of parameters 0 ≤l≤2k −1, and left as an open problem using the pebble game to find sparsity certifying decompositions. 3. The pebble game with colors Our pebble game with colors is a set of rules for constructing graphs indexed by nonnegative integers k and l. We will use the pebble game with colors as the basis of an efficient algorithm for the decomposition problem later in this paper. Since the phrase "with colors" is necessary only for comparison to [12], we will omit it in the rest of the paper when the context is clear. Sparsity-certifying Graph Decompositions 5 We now present the pebble game with colors. The game is played by a single player on a fixed finite set of vertices. The player makes a finite sequence of moves; a move consists in the addition and/or orientation of an edge. At any moment of time, the state of the game is captured by a directed graph H, with colored pebbles on vertices and edges. The edges of H are colored by the pebbles on them. While playing the pebble game all edges are directed, and we use the notation vw to indicate a directed edge from v to w. We describe the pebble game with colors in terms of its initial configuration and the allowed moves. ⇒ ⇒ (a) ⇒ ⇒ (b) Fig. 3. Examples of pebble game with colors moves: (a) add-edge. (b) pebble-slide. Pebbles on vertices are shown as black or gray dots. Edges are colored with the color of the pebble on them. Initialization: In the beginning of the pebble game, H has n vertices and no edges. We start by placing k pebbles on each vertex of H, one of each color ci, for i = 1,2,...,k. Add-edge-with-colors: Let v and w be vertices with at least l+1 pebbles on them. Assume (w.l.o.g.) that v has at least one pebble on it. Pick up a pebble from v, add the oriented edge vw to E(H) and put the pebble picked up from v on the new edge. Figure 3(a) shows examples of the add-edge move. Pebble-slide: Let w be a vertex with a pebble p on it, and let vw be an edge in H. Replace vw with wv in E(H); put the pebble that was on vw on v; and put p on wv. Note that the color of an edge can change with a pebble-slide move. Figure 3(b) shows examples. The convention in these figures, and throughout this paper, is that pebbles on vertices are represented as colored dots, and that edges are shown in the color of the pebble on them. From the definition of the pebble-slide move, it is easy to see that a particular pebble is always either on the vertex where it started or on an edge that has this vertex as the tail. However, when making a sequence of pebble-slide moves that reverse the orientation of a path in H, it is sometimes convenient to think of this path reversal sequence as bringing a pebble from the end of the path to the beginning. The output of playing the pebble game is its complete configuration. Output: At the end of the game, we obtain the directed graph H, along with the location and colors of the pebbles. Observe that since each edge has exactly one pebble on it, the pebble game configuration colors the edges. We say that the underlying undirected graph G of H is constructed by the (k,l)-pebble game or that H is a pebble-game graph. Since each edge of H has exactly one pebble on it, the pebble game's configuration partitions the edges of H, and thus G, into k different colors. We call this decomposition of H a pebble- game-with-colors decomposition. Figure 4(a) shows an example of a (2,2)-tight graph with a pebble-game decomposition. Let G = (V,E) be pebble-game graph with the coloring induced by the pebbles on the edges, and let G′ be a subgraph of G. Then the coloring of G induces a set of monochromatic con- 6 Ileana Streinu, Louis Theran (a) (b) (c) Fig. 4. A (2,2)-tight graph with one possible pebble-game decomposition. The edges are oriented to show (1,0)-sparsity for each color. (a) The graph K4 with a pebble-game decomposition. There is an empty black tree at the center vertex and a gray spanning tree. (b) The highlighted subgraph has two black trees and a gray tree; the black edges are part of a larger cycle but contribute a tree to the subgraph. (c) The highlighted subgraph (with a light gray background) has three empty gray trees; the black edges contain a cycle and do not contribute a piece of tree to the subgraph. Notation Meaning span(V ′) Number of edges spanned in H by V ′ ⊂V; i.e. |EH(V ′)| peb(V ′) Number of pebbles on V ′ ⊂V out(V ′) Number of edges vw in H with v ∈V ′ and w ∈V −V ′ pebi(v) Number of pebbles of color ci on v ∈V outi(v) Number of edges vw colored ci for v ∈V Table 2. Pebble game notation used in this paper. nected subgraphs of G′ (there may be more than one of the same color). Such a monochromatic subgraph is called a map-graph-piece of G′ if it contains a cycle (in G′) and a tree-piece of G′ otherwise. The set of tree-pieces of G′ is the collection of tree-pieces induced by G′. As with the corresponding definition for lTks, the set of tree-pieces is defined relative to a specific sub- graph; in particular a tree-piece may be part of a larger cycle that includes edges not spanned by G′. The properties of pebble-game decompositions are studied in Section 6, and Theorem 2 shows that each color must be (1,0)-sparse. The orientation of the edges in Figure 4(a) shows this. For example Figure 4(a) shows a (2,2)-tight graph with one possible pebble-game decom- position. The whole graph contains a gray tree-piece and a black tree-piece that is an isolated vertex. The subgraph in Figure 4(b) has a black tree and a gray tree, with the edges of the black tree coming from a cycle in the larger graph. In Figure 4(c), however, the black cycle does not contribute a tree-piece. All three tree-pieces in this subgraph are single-vertex gray trees. In the following discussion, we use the notation peb(v) for the number of pebbles on v and pebi(v) to indicate the number of pebbles of colors i on v. Table 2 lists the pebble game notation used in this paper. 4. Our Results We describe our results in this section. The rest of the paper provides the proofs. Sparsity-certifying Graph Decompositions 7 Our first result is a strengthening of the pebble games of [12] to include colors. It says that sparse graphs are exactly pebble game graphs. Recall that from now on, all pebble games discussed in this paper are our pebble game with colors unless noted explicitly. Theorem 1 (Sparse graphs and pebble-game graphs coincide). A graph G is (k,l)-sparse with 0 ≤l≤2k −1 if and only if G is a pebble-game graph. Next we consider pebble-game decompositions, showing that they are a generalization of proper lTk decompositions that extend to the entire matroidal range of sparse graphs. Theorem 2 (The pebble-game-with-colors decomposition). A graph G is a pebble-game graph if and only if it admits a decomposition into k edge-disjoint subgraphs such that each is (1,0)-sparse and every subgraph of G contains at least ltree-pieces of the (1,0)-sparse graphs in the decomposition. The (1,0)-sparse subgraphs in the statement of Theorem 2 are the colors of the pebbles; thus Theorem 2 gives a characterization of the pebble-game-with-colors decompositions obtained by playing the pebble game defined in the previous section. Notice the similarity between the requirement that the set of tree-pieces have size at least lin Theorem 2 and the definition of a proper lTk. Our next results show that for any pebble-game graph, we can specialize its pebble game construction to generate a decomposition that is a maps-and-trees or proper lTk . We call these specialized pebble game constructions canonical, and using canonical pebble game construc- tions, we obtain new direct proofs of existing arboricity results. We observe Theorem 2 that maps-and-trees are special cases of the pebble-game decompo- sition: both spanning trees and spanning map-graphs are (1,0)-sparse, and each of the spanning trees contributes at least one piece of tree to every subgraph. The case of proper lTk graphs is more subtle; if each color in a pebble-game decomposition is a forest, then we have found a proper lTk , but this class is a subset of all possible proper lTk decompositions of a tight graph. We show that this class of proper lTk decompositions is sufficient to certify sparsity. We now state the main theorem for the upper and lower range. Theorem 3 (Main Theorem (Lower Range): Maps-and-trees coincide with pebble-game graphs). Let 0 ≤l≤k. A graph G is a tight pebble-game graph if and only if G is a (k,l)- maps-and-trees. Theorem 4 (Main Theorem (Upper Range): Proper lTk graphs coincide with pebble-game graphs). Let k ≤l≤2k−1. A graph G is a tight pebble-game graph if and only if it is a proper lTk with kn−ledges. As corollaries, we obtain the existing decomposition results for sparse graphs. Corollary 5 (Nash-Williams [17], Tutte [23], White and Whiteley [24]). Let l≤k. A graph G is tight if and only if has a (k,l)-maps-and-trees decomposition. Corollary 6 (Crapo [2], Haas [7]). Let k ≤l≤2k −1. A graph G is tight if and only if it is a proper lTk . Efficiently finding canonical pebble game constructions. The proofs of Theorem 3 and Theo- rem 4 lead to an obvious algorithm with O(n3) running time for the decomposition problem. Our last result improves on this, showing that a canonical pebble game construction, and thus 8 Ileana Streinu, Louis Theran a maps-and-trees or proper lTk decomposition can be found using a pebble game algorithm in O(n2) time and space. These time and space bounds mean that our algorithm can be combined with those of [12] without any change in complexity. 5. Pebble game graphs In this section we prove Theorem 1, a strengthening of results from [12] to the pebble game with colors. Since many of the relevant properties of the pebble game with colors carry over directly from the pebble games of [12], we refer the reader there for the proofs. We begin by establishing some invariants that hold during the execution of the pebble game. Lemma 7 (Pebble game invariants). During the execution of the pebble game, the following invariants are maintained in H: (I1) There are at least lpebbles on V. [12] (I2) For each vertex v, span(v)+out(v)+peb(v) = k. [12] (I3) For each V ′ ⊂V, span(V ′)+out(V ′)+peb(V ′) = kn′. [12] (I4) For every vertex v ∈V, outi(v)+pebi(v) = 1. (I5) Every maximal path consisting only of edges with color ci ends in either the first vertex with a pebble of color ci or a cycle. Proof. (I1), (I2), and (I3) come directly from [12]. (I4) This invariant clearly holds at the initialization phase of the pebble game with colors. That add-edge and pebble-slide moves preserve (I4) is clear from inspection. (I5) By (I4), a monochromatic path of edges is forced to end only at a vertex with a pebble of the same color on it. If there is no pebble of that color reachable, then the path must eventually visit some vertex twice. From these invariants, we can show that the pebble game constructible graphs are sparse. Lemma 8 (Pebble-game graphs are sparse [12]). Let H be a graph constructed with the pebble game. Then H is sparse. If there are exactly lpebbles on V(H), then H is tight. The main step in proving that every sparse graph is a pebble-game graph is the following. Recall that by bringing a pebble to v we mean reorienting H with pebble-slide moves to reduce the out degree of v by one. Lemma 9 (The l+1 pebble condition [12]). Let vw be an edge such that H +vw is sparse. If peb({v,w}) < l+1, then a pebble not on {v,w} can be brought to either v or w. It follows that any sparse graph has a pebble game construction. Theorem 1 (Sparse graphs and pebble-game graphs coincide). A graph G is (k,l)-sparse with 0 ≤l≤2k −1 if and only if G is a pebble-game graph. 6. The pebble-game-with-colors decomposition In this section we prove Theorem 2, which characterizes all pebble-game decompositions. We start with the following lemmas about the structure of monochromatic connected components in H, the directed graph maintained during the pebble game. Sparsity-certifying Graph Decompositions 9 Lemma 10 (Monochromatic pebble game subgraphs are (1,0)-sparse). Let Hi be the sub- graph of H induced by edges with pebbles of color ci on them. Then Hi is (1,0)-sparse, for i = 1,...,k. Proof. By (I4) Hi is a set of edges with out degree at most one for every vertex. Lemma 11 (Tree-pieces in a pebble-game graph). Every subgraph of the directed graph H in a pebble game construction contains at least lmonochromatic tree-pieces, and each of these is rooted at either a vertex with a pebble on it or a vertex that is the tail of an out-edge. Recall that an out-edge from a subgraph H′ = (V ′,E′) is an edge vw with v ∈V ′ and vw / ∈E′. Proof. Let H′ = (V ′,E′) be a non-empty subgraph of H, and assume without loss of generality that H′ is induced by V ′. By (I3), out(V ′) + peb(V ′) ≥l. We will show that each pebble and out-edge tail is the root of a tree-piece. Consider a vertex v ∈V ′ and a color ci. By (I4) there is a unique monochromatic directed path of color ci starting at v. By (I5), if this path ends at a pebble, it does not have a cycle. Similarly, if this path reaches a vertex that is the tail of an out-edge also in color ci (i.e., if the monochromatic path from v leaves V ′), then the path cannot have a cycle in H′. Since this argument works for any vertex in any color, for each color there is a partitioning of the vertices into those that can reach each pebble, out-edge tail, or cycle. It follows that each pebble and out-edge tail is the root of a monochromatic tree, as desired. Applied to the whole graph Lemma 11 gives us the following. Lemma 12 (Pebbles are the roots of trees). In any pebble game configuration, each pebble of color ci is the root of a (possibly empty) monochromatic tree-piece of color ci. Remark: Haas showed in [7] that in a lTk , a subgraph induced by n′ ≥2 vertices with m′ edges has exactly kn′ −m′ tree-pieces in it. Lemma 11 strengthens Haas' result by extending it to the lower range and giving a construction that finds the tree-pieces, showing the connection between the l+1 pebble condition and the hereditary condition on proper lTk . We conclude our investigation of arbitrary pebble game constructions with a description of the decomposition induced by the pebble game with colors. Theorem 2 (The pebble-game-with-colors decomposition). A graph G is a pebble-game graph if and only if it admits a decomposition into k edge-disjoint subgraphs such that each is (1,0)-sparse and every subgraph of G contains at least ltree-pieces of the (1,0)-sparse graphs in the decomposition. Proof. Let G be a pebble-game graph. The existence of the k edge-disjoint (1,0)-sparse sub- graphs was shown in Lemma 10, and Lemma 11 proves the condition on subgraphs. For the other direction, we observe that a color ci with ti tree-pieces in a given subgraph can span at most n −ti edges; summing over all the colors shows that a graph with a pebble-game decomposition must be sparse. Apply Theorem 1 to complete the proof. Remark: We observe that a pebble-game decomposition for a Laman graph may be read out of the bipartite matching used in Hendrickson's Laman graph extraction algorithm [9]. Indeed, pebble game orientations have a natural correspondence with the bipartite matchings used in [9]. 10 Ileana Streinu, Louis Theran Maps-and-trees are a special case of pebble-game decompositions for tight graphs: if there are no cycles in lof the colors, then the trees rooted at the corresponding lpebbles must be spanning, since they have n −1 edges. Also, if each color forms a forest in an upper range pebble-game decomposition, then the tree-pieces condition ensures that the pebble-game de- composition is a proper lTk. In the next section, we show that the pebble game can be specialized to correspond to maps- and-trees and proper lTk decompositions. 7. Canonical Pebble Game Constructions In this section we prove the main theorems (Theorem 3 and Theorem 4), continuing the inves- tigation of decompositions induced by pebble game constructions by studying the case where a minimum number of monochromatic cycles are created. The main idea, captured in Lemma 15 and illustrated in Figure 6, is to avoid creating cycles while collecting pebbles. We show that this is always possible, implying that monochromatic map-graphs are created only when we add more than k(n′ −1) edges to some set of n′ vertices. For the lower range, this implies that every color is a forest. Every decomposition characterization of tight graphs discussed above follows immediately from the main theorem, giving new proofs of the previous results in a unified framework. In the proof, we will use two specializations of the pebble game moves. The first is a modi- fication of the add-edge move. Canonical add-edge: When performing an add-edge move, cover the new edge with a color that is on both vertices if possible. If not, then take the highest numbered color present. The second is a restriction on which pebble-slide moves we allow. Canonical pebble-slide: A pebble-slide move is allowed only when it does not create a monochromatic cycle. We call a pebble game construction that uses only these moves canonical. In this section we will show that every pebble-game graph has a canonical pebble game construction (Lemma 14 and Lemma 15) and that canonical pebble game constructions correspond to proper lTk and maps-and-trees decompositions (Theorem 3 and Theorem 4). We begin with a technical lemma that motivates the definition of canonical pebble game constructions. It shows that the situations disallowed by the canonical moves are all the ways for cycles to form in the lowest lcolors. Lemma 13 (Monochromatic cycle creation). Let v ∈V have a pebble p of color ci on it and let w be a vertex in the same tree of color ci as v. A monochromatic cycle colored ci is created in exactly one of the following ways: (M1) The edge vw is added with an add-edge move. (M2) The edge wv is reversed by a pebble-slide move and the pebble p is used to cover the reverse edge vw. Proof. Observe that the preconditions in the statement of the lemma are implied by Lemma 7. By Lemma 12 monochromatic cycles form when the last pebble of color ci is removed from a connected monochromatic subgraph. (M1) and (M2) are the only ways to do this in a pebble game construction, since the color of an edge only changes when it is inserted the first time or a new pebble is put on it by a pebble-slide move. Sparsity-certifying Graph Decompositions 11 ⇒ v w v w (a) ⇒ v w v w (b) Fig. 5. Creating monochromatic cycles in a (2,0)-pebble game. (a) A type (M1) move creates a cycle by adding a black edge. (b) A type (M2) move creates a cycle with a pebble-slide move. The vertices are labeled according to their role in the definition of the moves. Figure 5(a) and Figure 5(b) show examples of (M1) and (M2) map-graph creation moves, respectively, in a (2,0)-pebble game construction. We next show that if a graph has a pebble game construction, then it has a canonical peb- ble game construction. This is done in two steps, considering the cases (M1) and (M2) sepa- rately. The proof gives two constructions that implement the canonical add-edge and canonical pebble-slide moves. Lemma 14 (The canonical add-edge move). Let G be a graph with a pebble game construc- tion. Cycle creation steps of type (M1) can be eliminated in colors ci for 1 ≤i ≤l′, where l′ = min{k,l}. Proof. For add-edge moves, cover the edge with a color present on both v and w if possible. If this is not possible, then there are l+1 distinct colors present. Use the highest numbered color to cover the new edge. Remark: We note that in the upper range, there is always a repeated color, so no canonical add-edge moves create cycles in the upper range. The canonical pebble-slide move is defined by a global condition. To prove that we obtain the same class of graphs using only canonical pebble-slide moves, we need to extend Lemma 9 to only canonical moves. The main step is to show that if there is any sequence of moves that reorients a path from v to w, then there is a sequence of canonical moves that does the same thing. Lemma 15 (The canonical pebble-slide move). Any sequence of pebble-slide moves leading to an add-edge move can be replaced with one that has no (M2) steps and allows the same add-edge move. In other words, if it is possible to collect l+ 1 pebbles on the ends of an edge to be added, then it is possible to do this without creating any monochromatic cycles. 12 Ileana Streinu, Louis Theran Figure 7 and Figure 8 illustrate the construction used in the proof of Lemma 15. We call this the shortcut construction by analogy to matroid union and intersection augmenting paths used in previous work on the lower range. Figure 6 shows the structure of the proof. The shortcut construction removes an (M2) step at the beginning of a sequence that reorients a path from v to w with pebble-slides. Since one application of the shortcut construction reorients a simple path from a vertex w′ to w, and a path from v to w′ is preserved, the shortcut construction can be applied inductively to find the sequence of moves we want. w v (a) v w (b) w v w' (c) Fig. 6. Outline of the shortcut construction: (a) An arbitrary simple path from v to w with curved lines indicating simple paths. (b) An (M2) step. The black edge, about to be flipped, would create a cycle, shown in dashed and solid gray, of the (unique) gray tree rooted at w. The solid gray edges were part of the original path from (a). (c) The shortened path to the gray pebble; the new path follows the gray tree all the way from the first time the original path touched the gray tree at w′. The path from v to w′ is simple, and the shortcut construction can be applied inductively to it. Proof. Without loss of generality, we can assume that our sequence of moves reorients a simple path in H, and that the first move (the end of the path) is (M2). The (M2) step moves a pebble of color ci from a vertex w onto the edge vw, which is reversed. Because the move is (M2), v and w are contained in a maximal monochromatic tree of color ci. Call this tree H′ i, and observe that it is rooted at w. Now consider the edges reversed in our sequence of moves. As noted above, before we make any of the moves, these sketch out a simple path in H ending at w. Let z be the first vertex on this path in H′ i. We modify our sequence of moves as follows: delete, from the beginning, every move before the one that reverses some edge yz; prepend onto what is left a sequence of moves that moves the pebble on w to z in H′ i. Sparsity-certifying Graph Decompositions 13 ⇒ (a) ⇒ (b) Fig. 7. Eliminating (M2) moves: (a) an (M2) move; (b) avoiding the (M2) by moving along another path. The path where the pebbles move is indicated by doubled lines. ⇒ (a) ⇒ (b) Fig. 8. Eliminating (M2) moves: (a) the first step to move the black pebble along the doubled path is (M2); (b) avoiding the (M2) and simplifying the path. Since no edges change color in the beginning of the new sequence, we have eliminated the (M2) move. Because our construction does not change any of the edges involved in the remaining tail of the original sequence, the part of the original path that is left in the new sequence will still be a simple path in H, meeting our initial hypothesis. The rest of the lemma follows by induction. Together Lemma 14 and Lemma 15 prove the following. Lemma 16. If G is a pebble-game graph, then G has a canonical pebble game construction. Using canonical pebble game constructions, we can identify the tight pebble-game graphs with maps-and-trees and lTk graphs. 14 Ileana Streinu, Louis Theran Theorem 3 (Main Theorem (Lower Range): Maps-and-trees coincide with pebble-game graphs). Let 0 ≤l≤k. A graph G is a tight pebble-game graph if and only if G is a (k,l)- maps-and-trees. Proof. As observed above, a maps-and-trees decomposition is a special case of the pebble game decomposition. Applying Theorem 2, we see that any maps-and-trees must be a pebble-game graph. For the reverse direction, consider a canonical pebble game construction of a tight graph. From Lemma 8, we see that there are lpebbles left on G at the end of the construction. The definition of the canonical add-edge move implies that there must be at least one pebble of each ci for i = 1,2,...,l. It follows that there is exactly one of each of these colors. By Lemma 12, each of these pebbles is the root of a monochromatic tree-piece with n −1 edges, yielding the required ledge-disjoint spanning trees. Corollary 5 (Nash-Williams [17], Tutte [23], White and Whiteley [24]). Let l≤k. A graph G is tight if and only if has a (k,l)-maps-and-trees decomposition. We next consider the decompositions induced by canonical pebble game constructions when l≥k +1. Theorem 4 (Main Theorem (Upper Range): Proper Trees-and-trees coincide with peb- ble-game graphs). Let k ≤l≤2k−1. A graph G is a tight pebble-game graph if and only if it is a proper lTk with kn−ledges. Proof. As observed above, a proper lTk decomposition must be sparse. What we need to show is that a canonical pebble game construction of a tight graph produces a proper lTk . By Theorem 2 and Lemma 16, we already have the condition on tree-pieces and the decom- position into ledge-disjoint trees. Finally, an application of (I4), shows that every vertex must in in exactly k of the trees, as required. Corollary 6 (Crapo [2], Haas [7]). Let k ≤l≤2k −1. A graph G is tight if and only if it is a proper lTk . 8. Pebble game algorithms for finding decompositions A na ̈ ıve implementation of the constructions in the previous section leads to an algorithm re- quiring Θ(n2) time to collect each pebble in a canonical construction: in the worst case Θ(n) applications of the construction in Lemma 15 requiring Θ(n) time each, giving a total running time of Θ(n3) for the decomposition problem. In this section, we describe algorithms for the decomposition problem that run in time O(n2). We begin with the overall structure of the algorithm. Algorithm 17 (The canonical pebble game with colors). Input: A graph G. Output: A pebble-game graph H. Method: – Set V(H) = V(G) and place one pebble of each color on the vertices of H. – For each edge vw ∈E(G) try to collect at least l+1 pebbles on v and w using pebble-slide moves as described by Lemma 15. Sparsity-certifying Graph Decompositions 15 – If at least l+1 pebbles can be collected, add vw to H using an add-edge move as in Lemma 14, otherwise discard vw. – Finally, return H, and the locations of the pebbles. Correctness. Theorem 1 and the result from [24] that the sparse graphs are the independent sets of a matroid show that H is a maximum sized sparse subgraph of G. Since the construction found is canonical, the main theorem shows that the coloring of the edges in H gives a maps- and-trees or proper lTk decomposition. Complexity. We start by observing that the running time of Algorithm 17 is the time taken to process O(n) edges added to H and O(m) edges not added to H. We first consider the cost of an edge of G that is added to H. Each of the pebble game moves can be implemented in constant time. What remains is to describe an efficient way to find and move the pebbles. We use the following algorithm as a subroutine of Algorithm 17 to do this. Algorithm 18 (Finding a canonical path to a pebble.). Input: Vertices v and w, and a pebble game configuration on a directed graph H. Output: If a pebble was found, 'yes', and 'no' otherwise. The configuration of H is updated. Method: – Start by doing a depth-first search from from v in H. If no pebble not on w is found, stop and return 'no.' – Otherwise a pebble was found. We now have a path v = v1,e1,...,ep−1,vp = u, where the vi are vertices and ei is the edge vivi+1. Let c[ei] be the color of the pebble on ei. We will use the array c[] to keep track of the colors of pebbles on vertices and edges after we move them and the array s[] to sketch out a canonical path from v to u by finding a successor for each edge. – Set s[u] = 'end′ and set c[u] to the color of an arbitrary pebble on u. We walk on the path in reverse order: vp,ep−1,ep−2,...,e1,v1. For each i, check to see if c[vi] is set; if so, go on to the next i. Otherwise, check to see if c[vi+1] = c[ei]. – If it is, set s[vi] = ei and set c[vi] = c[ei], and go on to the next edge. – Otherwise c[vi+1] ̸= c[ei], try to find a monochromatic path in color c[vi+1] from vi to vi+1. If a vertex x is encountered for which c[x] is set, we have a path vi = x1, f1,x2,..., fq−1,xq = x that is monochromatic in the color of the edges; set c[xi] = c[fi] and s[xi] = fi for i = 1,2,...,q−1. If c[x] = c[fq−1], stop. Otherwise, recursively check that there is not a monochro- matic c[x] path from xq−1 to x using this same procedure. – Finally, slide pebbles along the path from the original endpoints v to u specified by the successor array s[v], s[s[v]], ... The correctness of Algorithm 18 comes from the fact that it is implementing the shortcut construction. Efficiency comes from the fact that instead of potentially moving the pebble back and forth, Algorithm 18 pre-computes a canonical path crossing each edge of H at most three times: once in the initial depth-first search, and twice while converting the initial path to a canonical one. It follows that each accepted edges takes O(n) time, for a total of O(n2) time spent processing edges in H. Although we have not discussed this explicity, for the algorithm to be efficient we need to maintain components as in [12]. After each accepted edge, the components of H can be updated in time O(n). Finally, the results of [12, 13] show that the rejected edges take an amortized O(1) time each. 16 Ileana Streinu, Louis Theran Summarizing, we have shown that the canonical pebble game with colors solves the decom- position problem in time O(n2). 9. An important special case: Rigidity in dimension 2 and slider-pinning In this short section we present a new application for the special case of practical importance, k = 2, l= 3. As discussed in the introduction, Laman's theorem [11] characterizes minimally rigid graphs as the (2,3)-tight graphs. In recent work on slider pinning, developed after the current paper was submitted, we introduced the slider-pinning model of rigidity [15, 20]. Com- binatorially, we model the bar-slider frameworks as simple graphs together with some loops placed on their vertices in such a way that there are no more than 2 loops per vertex, one of each color. We characterize the minimally rigid bar-slider graphs [20] as graphs that are: 1. (2,3)-sparse for subgraphs containing no loops. 2. (2,0)-tight when loops are included. We call these graphs (2,0,3)-graded-tight, and they are a special case of the graded-sparse graphs studied in our paper [14]. The connection with the pebble games in this paper is the following. Corollary 19 (Pebble games and slider-pinning). In any (2,3)-pebble game graph, if we replace pebbles by loops, we obtain a (2,0,3)-graded-tight graph. Proof. Follows from invariant (I3) of Lemma 7. In [15], we study a special case of slider pinning where every slider is either vertical or horizontal. We model the sliders as pre-colored loops, with the color indicating x or y direction. For this axis parallel slider case, the minimally rigid graphs are characterized by: 1. (2,3)-sparse for subgraphs containing no loops. 2. Admit a 2-coloring of the edges so that each color is a forest (i.e., has no cycles), and each monochromatic tree spans exactly one loop of its color. This also has an interpretation in terms of colored pebble games. Corollary 20 (The pebble game with colors and slider-pinning). In any canonical (2,3)- pebble-game-with-colors graph, if we replace pebbles by loops of the same color, we obtain the graph of a minimally pinned axis-parallel bar-slider framework. Proof. Follows from Theorem 4, and Lemma 12. 10. Conclusions and open problems We presented a new characterization of (k,l)-sparse graphs, the pebble game with colors, and used it to give an efficient algorithm for finding decompositions of sparse graphs into edge- disjoint trees. Our algorithm finds such sparsity-certifying decompositions in the upper range and runs in time O(n2), which is as fast as the algorithms for recognizing sparse graphs in the upper range from [12]. We also used the pebble game with colors to describe a new sparsity-certifying decomposi- tion that applies to the entire matroidal range of sparse graphs. Sparsity-certifying Graph Decompositions 17 We defined and studied a class of canonical pebble game constructions that correspond to either a maps-and-trees or proper lTk decomposition. This gives a new proof of the Tutte-Nash- Williams arboricity theorem and a unified proof of the previously studied decomposition cer- tificates of sparsity. Canonical pebble game constructions also show the relationship between the l+1 pebble condition, which applies to the upper range of l, to matroid union augmenting paths, which do not apply in the upper range. Algorithmic consequences and open problems. In [6], Gabow and Westermann give an O(n3/2) algorithm for recognizing sparse graphs in the lower range and extracting sparse subgraphs from dense ones. Their technique is based on efficiently finding matroid union augmenting paths, which extend a maps-and-trees decomposition. The O(n3/2) algorithm uses two subroutines to find augmenting paths: cyclic scanning, which finds augmenting paths one at a time, and batch scanning, which finds groups of disjoint augmenting paths. We observe that Algorithm 17 can be used to replace cyclic scanning in Gabow and Wester- mann's algorithm without changing the running time. The data structures used in the implemen- tation of the pebble game, detailed in [12, 13] are simpler and easier to implement than those used to support cyclic scanning. The two major open algorithmic problems related to the pebble game are then: Problem 1. Develop a pebble game algorithm with the properties of batch scanning and obtain an implementable O(n3/2) algorithm for the lower range. Problem 2. Extend batch scanning to the l+1 pebble condition and derive an O(n3/2) pebble game algorithm for the upper range. In particular, it would be of practical importance to find an implementable O(n3/2) algorithm for decompositions into edge-disjoint spanning trees. References 1. Berg, A.R., Jord ́ an, T.: Algorithms for graph rigidity and scene analysis. In: Proc. 11th European Symposium on Algorithms (ESA '03), LNCS, vol. 2832, pp. 78–89. (2003) 2. Crapo, H.: On the generic rigidity of plane frameworks. Tech. Rep. 1278, Institut de recherche d'informatique et d'automatique (1988) 3. Edmonds, J.: Minimum partition of a matroid into independent sets. J. Res. Nat. Bur. Standards Sect. B 69B, 67–72 (1965) 4. Edmonds, J.: Submodular functions, matroids, and certain polyhedra. In: Combinatorial Optimization-Eureka, You Shrink!, no. 2570 in LNCS, pp. 11–26. Springer (2003) 5. Gabow, H.N.: A matroid approach to finding edge connectivity and packing arborescences. Journal of Computer and System Sciences 50, 259–273 (1995) 6. Gabow, H.N., Westermann, H.H.: Forests, frames, and games: Algorithms for matroid sums and applications. Algorithmica 7(1), 465–497 (1992) 7. Haas, R.: Characterizations of arboricity of graphs. Ars Combinatorica 63, 129–137 (2002) 8. Haas, R., Lee, A., Streinu, I., Theran, L.: Characterizing sparse graphs by map decompo- sitions. Journal of Combinatorial Mathematics and Combinatorial Computing 62, 3–11 (2007) 9. Hendrickson, B.: Conditions for unique graph realizations. SIAM Journal on Computing 21(1), 65–84 (1992) 18 Ileana Streinu, Louis Theran 10. Jacobs, D.J., Hendrickson, B.: An algorithm for two-dimensional rigidity percolation: the pebble game. Journal of Computational Physics 137, 346–365 (1997) 11. Laman, G.: On graphs and rigidity of plane skeletal structures. Journal of Engineering Mathematics 4, 331–340 (1970) 12. Lee, A., Streinu, I.: Pebble game algorihms and sparse graphs. Discrete Mathematics 308(8), 1425–1437 (2008) 13. Lee, A., Streinu, I., Theran, L.: Finding and maintaining rigid components. In: Proc. Cana- dian Conference of Computational Geometry. Windsor, Ontario (2005). http://cccg. cs.uwindsor.ca/papers/72.pdf 14. Lee, A., Streinu, I., Theran, L.: Graded sparse graphs and matroids. Journal of Universal Computer Science 13(10) (2007) 15. Lee, A., Streinu, I., Theran, L.: The slider-pinning problem. In: Proceedings of the 19th Canadian Conference on Computational Geometry (CCCG'07) (2007) 16. Lov ́ asz, L.: Combinatorial Problems and Exercises. Akademiai Kiado and North-Holland, Amsterdam (1979) 17. Nash-Williams, C.S.A.: Decomposition of finite graphs into forests. Journal of the London Mathematical Society 39, 12 (1964) 18. Oxley, J.G.: Matroid theory. The Clarendon Press, Oxford University Press, New York (1992) 19. Roskind, J., Tarjan, R.E.: A note on finding minimum cost edge disjoint spanning trees. Mathematics of Operations Research 10(4), 701–708 (1985) 20. Streinu, I., Theran, L.: Combinatorial genericity and minimal rigidity. In: SCG '08: Pro- ceedings of the twenty-fourth annual Symposium on Computational Geometry, pp. 365– 374. ACM, New York, NY, USA (2008). 21. Tay, T.S.: Rigidity of multigraphs I: linking rigid bodies in n-space. Journal of Combinato- rial Theory, Series B 26, 95–112 (1984) 22. Tay, T.S.: A new proof of Laman's theorem. Graphs and Combinatorics 9, 365–370 (1993) 23. Tutte, W.T.: On the problem of decomposing a graph into n connected factors. Journal of the London Mathematical Society 142, 221–230 (1961) 24. Whiteley, W.: The union of matroids and the rigidity of frameworks. SIAM Journal on Discrete Mathematics 1(2), 237–255 (1988)
0704.0003
Hongjun Pan
Hongjun Pan
The evolution of the Earth-Moon system based on the dark matter field fluid model
23 pages, 3 figures
null
null
null
physics.gen-ph
null
" The evolution of Earth-Moon system is described by the dark matter field\nfluid model proposed in(...TRUNCATED)
"W3sidmVyc2lvbiI6InYxIiwiY3JlYXRlZCI6IlN1biwgMSBBcHIgMjAwNyAyMDo0Njo1NCBHTVQifSx7InZlcnNpb24iOiJ2MiI(...TRUNCATED)
2008-01-13
[ 91, 91, 34, 80, 97, 110, 34, 44, 34, 72, 111, 110, 103, 106, 117, 110, 34, 44, 34, 34, 93, 93 ]
"The evolution of the Earth-Moon system based on \nthe dark matter field fluid model \n \nHongjun (...TRUNCATED)
0704.0004
David Callan
David Callan
A determinant of Stirling cycle numbers counts unlabeled acyclic single-source automata
11 pages
null
null
null
math.CO
null
" We show that a determinant of Stirling cycle numbers counts unlabeled acyclic\nsingle-source auto(...TRUNCATED)
[ 91, 123, 34, 118, 101, 114, 115, 105, 111, 110, 34, 58, 34, 118, 49, 34, 44, 34, 99, 114, 101, 97, 116, 101, 100, 34, 58, 34, 83, 97, 116, 44, 32, 51, 49, 32, 77, 97, 114, 32, 50, 48, 48, 55, 32, 48, 51, 58, 49, 54, 58, 49, 52, 32, 71, 77, 84, 34, 125, 93 ]
2007-05-23
[ 91, 91, 34, 67, 97, 108, 108, 97, 110, 34, 44, 34, 68, 97, 118, 105, 100, 34, 44, 34, 34, 93, 93 ]
"arXiv:0704.0004v1 [math.CO] 31 Mar 2007\nA Determinant of Stirling Cycle Numbers Counts Unlabeled(...TRUNCATED)
0704.0005
Alberto Torchinsky
Wael Abu-Shammala and Alberto Torchinsky
From dyadic $\Lambda_{\alpha}$ to $\Lambda_{\alpha}$
null
Illinois J. Math. 52 (2008) no.2, 681-689
null
null
math.CA math.FA
null
" In this paper we show how to compute the $\\Lambda_{\\alpha}$ norm, $\\alpha\\ge\n0$, using the d(...TRUNCATED)
[ 91, 123, 34, 118, 101, 114, 115, 105, 111, 110, 34, 58, 34, 118, 49, 34, 44, 34, 99, 114, 101, 97, 116, 101, 100, 34, 58, 34, 77, 111, 110, 44, 32, 50, 32, 65, 112, 114, 32, 50, 48, 48, 55, 32, 49, 56, 58, 48, 57, 58, 53, 56, 32, 71, 77, 84, 34, 125, 93 ]
2013-10-15
[ 91, 91, 34, 65, 98, 117, 45, 83, 104, 97, 109, 109, 97, 108, 97, 34, 44, 34, 87, 97, 101, 108, 34, 44, 34, 34, 93, 44, 91, 34, 84, 111, 114, 99, 104, 105, 110, 115, 107, 121, 34, 44, 34, 65, 108, 98, 101, 114, 116, 111, 34, 44, 34, 34, 93, 93 ]
"arXiv:0704.0005v1 [math.CA] 2 Apr 2007\nFROM DYADIC Λα TO Λα\nWAEL ABU-SHAMMALA AND ALBERTO T(...TRUNCATED)
0704.0006
Yue Hin Pong
Y. H. Pong and C. K. Law
Bosonic characters of atomic Cooper pairs across resonance
6 pages, 4 figures, accepted by PRA
null
10.1103/PhysRevA.75.043613
null
cond-mat.mes-hall
null
" We study the two-particle wave function of paired atoms in a Fermi gas with\ntunable interaction (...TRUNCATED)
[ 91, 123, 34, 118, 101, 114, 115, 105, 111, 110, 34, 58, 34, 118, 49, 34, 44, 34, 99, 114, 101, 97, 116, 101, 100, 34, 58, 34, 83, 97, 116, 44, 32, 51, 49, 32, 77, 97, 114, 32, 50, 48, 48, 55, 32, 48, 52, 58, 50, 52, 58, 53, 57, 32, 71, 77, 84, 34, 125, 93 ]
2015-05-13
[ 91, 91, 34, 80, 111, 110, 103, 34, 44, 34, 89, 46, 32, 72, 46, 34, 44, 34, 34, 93, 44, 91, 34, 76, 97, 119, 34, 44, 34, 67, 46, 32, 75, 46, 34, 44, 34, 34, 93, 93 ]
"arXiv:0704.0006v1 [cond-mat.mes-hall] 31 Mar 2007\nBosonic characters of atomic Cooper pairs acro(...TRUNCATED)
0704.0007
Alejandro Corichi
Alejandro Corichi, Tatjana Vukasinac and Jose A. Zapata
Polymer Quantum Mechanics and its Continuum Limit
16 pages, no figures. Typos corrected to match published version
Phys.Rev.D76:044016,2007
10.1103/PhysRevD.76.044016
IGPG-07/03-2
gr-qc
null
" A rather non-standard quantum representation of the canonical commutation\nrelations of quantum m(...TRUNCATED)
"W3sidmVyc2lvbiI6InYxIiwiY3JlYXRlZCI6IlNhdCwgMzEgTWFyIDIwMDcgMDQ6Mjc6MjIgR01UIn0seyJ2ZXJzaW9uIjoidjI(...TRUNCATED)
2008-11-26
"W1siQ29yaWNoaSIsIkFsZWphbmRybyIsIiJdLFsiVnVrYXNpbmFjIiwiVGF0amFuYSIsIiJdLFsiWmFwYXRhIiwiSm9zZSBBLiI(...TRUNCATED)
"arXiv:0704.0007v2 [gr-qc] 22 Aug 2007\nPolymer Quantum Mechanics and its Continuum Limit\nAlejand(...TRUNCATED)
0704.0008
Damian Swift
Damian C. Swift
Numerical solution of shock and ramp compression for general material properties
Minor corrections
Journal of Applied Physics, vol 104, 073536 (2008)
10.1063/1.2975338
LA-UR-07-2051, LLNL-JRNL-410358
cond-mat.mtrl-sci
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
" A general formulation was developed to represent material models for\napplications in dynamic loa(...TRUNCATED)
"W3sidmVyc2lvbiI6InYxIiwiY3JlYXRlZCI6IlNhdCwgMzEgTWFyIDIwMDcgMDQ6NDc6MjAgR01UIn0seyJ2ZXJzaW9uIjoidjI(...TRUNCATED)
2009-02-05
[ 91, 91, 34, 83, 119, 105, 102, 116, 34, 44, 34, 68, 97, 109, 105, 97, 110, 32, 67, 46, 34, 44, 34, 34, 93, 93 ]
"arXiv:0704.0008v3 [cond-mat.mtrl-sci] 1 Jul 2008\nNumerical solution of shock and ramp compressio(...TRUNCATED)
0704.0009
Paul Harvey
"Paul Harvey, Bruno Merin, Tracy L. Huard, Luisa M. Rebull, Nicholas\n Chapman, Neal J. Evans II, P(...TRUNCATED)
"The Spitzer c2d Survey of Large, Nearby, Insterstellar Clouds. IX. The\n Serpens YSO Population As(...TRUNCATED)
null
Astrophys.J.663:1149-1173,2007
10.1086/518646
null
astro-ph
null
" We discuss the results from the combined IRAC and MIPS c2d Spitzer Legacy\nobservations of the Se(...TRUNCATED)
[ 91, 123, 34, 118, 101, 114, 115, 105, 111, 110, 34, 58, 34, 118, 49, 34, 44, 34, 99, 114, 101, 97, 116, 101, 100, 34, 58, 34, 77, 111, 110, 44, 32, 50, 32, 65, 112, 114, 32, 50, 48, 48, 55, 32, 49, 57, 58, 52, 49, 58, 51, 52, 32, 71, 77, 84, 34, 125, 93 ]
2010-03-18
"W1siSGFydmV5IiwiUGF1bCIsIiJdLFsiTWVyaW4iLCJCcnVubyIsIiJdLFsiSHVhcmQiLCJUcmFjeSBMLiIsIiJdLFsiUmVidWx(...TRUNCATED)
"arXiv:0704.0009v1 [astro-ph] 2 Apr 2007\nThe Spitzer c2d Survey of Large, Nearby, Insterstellar C(...TRUNCATED)
0704.0010
Sergei Ovchinnikov
Sergei Ovchinnikov
Partial cubes: structures, characterizations, and constructions
36 pages, 17 figures
null
null
null
math.CO
null
" Partial cubes are isometric subgraphs of hypercubes. Structures on a graph\ndefined by means of s(...TRUNCATED)
[ 91, 123, 34, 118, 101, 114, 115, 105, 111, 110, 34, 58, 34, 118, 49, 34, 44, 34, 99, 114, 101, 97, 116, 101, 100, 34, 58, 34, 83, 97, 116, 44, 32, 51, 49, 32, 77, 97, 114, 32, 50, 48, 48, 55, 32, 48, 53, 58, 49, 48, 58, 49, 54, 32, 71, 77, 84, 34, 125, 93 ]
2007-05-23
[ 91, 91, 34, 79, 118, 99, 104, 105, 110, 110, 105, 107, 111, 118, 34, 44, 34, 83, 101, 114, 103, 101, 105, 34, 44, 34, 34, 93, 93 ]
"arXiv:0704.0010v1 [math.CO] 31 Mar 2007\nPartial cubes: structures, characterizations, and\nconst(...TRUNCATED)

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