Progress on NNLO subtraction Vittorio Del Duca INFN Torino Les Houches 7 May 2005 NLO features Jet structure: final-state collinear radiation PDF evolution: initial-state collinear radiation Opening of new channels Reduced sensitivity to fictitious input scales: µR , µF predictive normalisation of observables first step toward precision measurements accurate estimate of signal and background for Higgs and new physics Matching with parton-shower MC’s: MC@NLO Jet structure the jet non-trivial structure shows up first to NLO leading order NLO NNLO NNLO corrections may be relevant if the main source of uncertainty in extracting info from data is due to NLO theory: αS measurements NLO corrections are large: Higgs production from gluon fusion in hadron collisions NLO uncertainty bands are too large to test theory vs. data: b production in hadron collisions NLO is effectively leading order: energy distributions in jet cones in short, NNLO is relevant where NLO fails to do its job Summary of αS (MZ ) S. Bethke hep-ex/0407021 world average of αS (MZ ) using MS and NNLO results only αS (MZ ) = 0.1182 ± 0.0027 (cf. 2002 αS (MZ ) = 0.1183 ± 0.0027 outcome almost identical because new entries wrt 2002 - LEP jet shape observables and 4-jet rate, and HERA jet rates and shape variables - are NLO ) filled symbols are NNLO results Is NLO enough to describe data ? b cross section in pp̄ collisions at 1.96 TeV dσ(pp̄ → Hb X, Hb → J/ψ X)/dpT (J/ψ) NLO + NLL good agreement with data (with use of updated FF’s by Cacciari & Nason) The CDF value in the inset was preliminary. The published value is (CDF hep-ex/0412071) 19.4 ± 0.3(stat)+2.1 −1.9 (syst) nb Cacciari, Frixione, Mangano, Nason, Ridolfi 2003 Is NLO enough to describe data ? Inclusive jet pT cross section at Tevatron good agreement between NLO and data over several orders of magnitude constrains the gluon distribution at high x Is NLO enough to describe data ? di-lepton rapidity distribution for (Z, γ ∗ ) production vs. Tevatron Run I data LO and NLO curves are for the MRST PDF set no spin correlations C. Anastasiou L. Dixon K. Melnikov F. Petriello 2003 Is NLO enough to describe data ? Drell-Yan W cross section at LHC with leptonic decay of the W |MC@NLO − NLO| = O(2%) S. Frixione M.L. Mangano 2004 NNLO useless without spin correlations Precisely evaluated Drell-Yan W, Z cross sections could be used as ``standard candles’’ to measure the parton luminosity at LHC Is NLO enough to describe data ? Total cross section for inclusive Higgs production at LHC contour bands are lower µR = 2MH µF = MH /2 upper µR = MH /2 µF = 2MH scale uncertainty is about 10% NNLO prediction stabilises the perturbative series NNLO Drell-Yan Z production at LHC Rapidity distribution for an on-shell Z boson 30%(15%) NLO increase wrt to LO at central Y’s (at large Y’s) NNLO decreases NLO by 1 − 2% scale variation: ≈ 30% at LO; ≈ 6% at NLO; less than 1% at NNLO C. Anastasiou L. Dixon K. Melnikov F. Petriello 2003 Scale variations in Drell-Yan Z production solid: vary µR and µF together dashed: vary µF only dotted: vary µR only C. Anastasiou L. Dixon K. Melnikov F. Petriello 2003 Drell-Yan W production at LHC Rapidity distribution for an on-shell W − boson (left) W + boson (right) distributions are symmetric in Y NNLO scale variations are 1%(3%) at central (large) Y C. Anastasiou L. Dixon K. Melnikov F. Petriello 2003 Higgs production at LHC a fully differential cross section: bin-integrated rapidity distribution, with a jet veto C. Anastasiou K. Melnikov F. Petriello 2004 jet veto: require R = 0.4 |pjT | < pveto = 40 GeV T for 2 partons 2 R12 = (η1 − η2 )2 + (φ1 − φ2 )2 if R12 > R |p1T |, |p2T | < pveto T if R12 < R |p1T + p2T | < pveto T MH = 150 GeV (jet veto relevant in the H → W + W − decay channel) K factor is much smaller for the vetoed x-sect than for the inclusive one: j average |pT | increases from NLO to NNLO: less x-sect passes the veto NLO assembly kit e+ e− → 3 jets leading order 2 |Mtree | n IR NLO real ⊗ 2 |Mtree n+1 | 2 |Mtree n | → + = ! dP S|Psplit |2 ! " A B − 2+ ! ! NLO virtual d = 4 − 2! ! ∗ tree dd l 2(Mloop n ) Mn = " A B + !2 ! # 2 |Mtree n | + f in. NLO production rates Process-independent procedure devised in the 90’s slicing subtraction dipole antenna Giele Glover & Kosower Frixione Kunszt & Signer; Nagy & Trocsanyi Catani & Seymour Kosower; Campbell Cullen & Glover ! B σ = σ LO + σ NLO = dσm Jm + σ NLO m ! ! R V σ NLO = dσm+1 Jm+1 + dσm Jm m+1 m the 2 terms on the rhs are divergent in d=4 σ NLO use universal IR structure to subtract divergences % ! ! " # ! $ R,A R,A R V = dσm+1 Jm+1 − dσm+1 Jm + dσm + dσm+1 Jm m+1 m the 2 terms on the rhs are finite in d=4 1 Observable (jet) functions Jm vanishes when one parton becomes soft or collinear to another one Jm (p1 , ..., pm ) → 0 , if pi · pj → 0 B dσm is integrable over 1-parton IR phase space Jm+1 vanishes when two partons become simultaneously soft and/or collinear Jm+1 (p1 , ..., pm+1 ) → 0 , if pi · pj and pk · pl → 0 (i "= k) R and V are integrable over 2-parton IR phase space observables are IR safe Jn+1 (p1 , .., pj = λq, .., pn+1 ) → Jn (p1 , ..., pn+1 ) Jn+1 (p1 , .., pi , .., pj , .., pn+1 ) → Jn (p1 , .., p, .., pn+1 ) for all n ≥ m if if λ→0 pi → zp , pj → (1 − z)p NLO IR limits collinear operator (0) Cir |Mm+2 (pi , pr , . . .)|2 ∝ 1 (0) "Mm+1 (0)(pir , . . .)|P̂fi fr |Mm+1 (0)(pir , . . .)# sir soft operator (0) Sr |Mm+2 (pr , . . .)|2 ∝ counterterm sik "Mm+1 (0)(. . .)|Ti · Tk |Mm+1 (0)(. . .)# sir srk ! !1 (0) Cir + Sr |Mm+2 (pi , pr , . . .)|2 2 r i!=r performs double subtraction in overlapping regions NLO overlapping divergences Cir Sr can be used to cancel double subtraction (0) Cir (Sr − Cir Sr ) |Mm+2 |2 = 0 (0) Sr (Cir − Cir Sr ) |Mm+2 |2 = 0 the NLO counterterm ! !1 ! (0) 2 (0) A1 |Mm+2 | = Cir + Sr − Cir Sr |Mm+2 (pi , pr , . . .)|2 2 r i!=r i!=r has the same singular behaviour as SME, and is free of double subtractions (0) Cir (1 − A1 ) |Mm+1 |2 = 0 (0) Sr (1 − A1 ) |Mm+1 |2 = 0 contains spurious singularities when parton s != r becomes unresolved, but they are screened by Jm σ NNLO = ! NNLO subtraction RR dσm+2 Jm+2 + m+2 ! RV dσm+1 Jm+1 + m+1 ! VV dσm Jm m the 3 terms on the rhs are divergent in d=4 use universal IR structure to subtract divergences ! " # RR,A2 RR σ NNLO = dσm+2 Jm+2 − dσm+2 Jm m+2 takes care of doubly-unresolved regions, but still divergent in singly-unresolved ones ! " # RV,A1 RV + dσm+1 Jm+1 − dσm+1 Jm m+1 still contains 1/! poles in regions away from 1-parton IR regions # ! " ! ! RR,A2 RV,A1 VV + dσm + dσm+2 + dσm+1 Jm m 2 1 ! Use IR factorization formulae valid in the doublyunresolved regions Catani-Grazzini, Campbell-Glover NNLO counterterm ! To account for double subtraction in overlapping construct the 2-unresolved-parton counterterm using the IR currents regions: subtract"the collinear limit of the soft one # !! ! 1 ! 1 1 (0) 2 A2 |Mm+2 | = Cirs + Cir;js + Srs 6 8 2 r s!=r i!=r,s j!=i,r,s $ %& ! 1 + CSir;s − Cirs CSir;s − Cir;js CSir;s 2 j!=i,r,s $ % !# 1 − CSir;s Srs + Cirs Srs − CSir;s Srs 2 i!=r,s $ % &' ! 1 (0) + Cir;js Srs − CSir;s Srs |Mm+2 |2 2 j!=i,r,s Zoltán Trócsányi: Matching of Singly- and Doubly-Unresolved Limits of Tree-level QCD Squared Matrix Elements G.ETH Somogyi Z. Trocsanyi VDD 2005 Zürich, March 8, 2005 – p.16/22 performing double and triple subtractions in overlapping regions (0) Cirs (1 − A2 ) |Mm+2 |2 = 0 (0) Cir;js (1 − A2 ) |Mm+2 |2 = 0 (0) Srs (1 − A2 ) |Mm+2 |2 = 0 (0) CSir;s (1 − A2 ) |Mm+2 |2 = 0 needs a NLO-type subtraction The subtraction scheme at NNLO between the m+2- and the m+1-parton contributions The subtraction scheme at NNLO σ NNLO = σ NNLO + σ NNLO + σ NNLO {m+2} {m+1} {m} ! ="σ NNLO + σ NNLO + σ NNLO σ NNLO {m+2} {m+1} {m} RR,A2 NNLO RR σ{m+2} = dσm+2 Jm+2 − dσm+2 Jm ! m+2" RR,A2 # NNLO RR σ = dσ J − dσ J m+2 m m+2 RR,A m+2RR,A must be finite{m+2} in 1 12 m+2 −dσ J + dσ Jm m+1 m+2 m+2 the doubly-unresolved regions # d=4 G. Somogyi Z. Trocsanyi VDD " RR,A RR,A2005 ! 1 12 −dσ J + dσ Jm m+1 m+2 m+2 RV,A NNLO RV A1 takes care of the and A12 of 1the over-subtracting σ{m+1} = singly-unresolved dσm+1 Jregions d=4 m+1 − dσm+1 Jm ! m+1" # RV,A1 ! $J NNLO RV % σ{m+1} = dσm+1 − dσ J m+1 m RR,A RR,A1 m+1 + dσm+2 Jm+1 − dσm+2 12 Jm m+1 ! 1$ % # d=4 ! " + !dσ RR,A1 J !− dσ RR,A12# J m m+2 m+2 1 RR,A2m+1 RV,A NNLO VV σ{m} = dσm 1+ dσm+2 + dσm+1 Jm d=4 " # !m !2 !1 d=4 RR,A RV,A NNLO VV σ{m} = dσm + dσm+2 2 + dσm+1 1 Jm Zoltán Trócsányi: Matching of Singly- and Doubly-Unresolved m Limits of Tree-level QCD 2 Squared Matrix Elements 1 ETH Zürich, Marchd=4 8, 2005 – p.13/22 RR,A12 Constructing dσ A need to construct 12 such that all m+2 overlapping regions in 1-parton and 2-parton IR phase space regions RR,A12 are counted only once Need to construct A such that 12 Constructing dσ m+2 (0) 2 A12 )|Mm+2 | (0) 2 Cir |Mm+2 | ! Cir (A1 + A2 − = Need to construct A12 such that (0) 2 (0) 2 ! Sr (A1 + A2 − A12 )|M (0)m+2 (0) 2 | = Sr |M 2| m+2 ! Cir (A + A − A )|M | = C |M | 1 2 12 ir m+2 m+2 (0) (0) 2 ! Cirs (A1 + A2 − A12(0) )|M2m+2 |2 = C(0) |M irs 2 m+2 | ! Sr (A1 + A2 − A12 )|Mm+2 | = Sr |Mm+2 | (0) 2 (0) 2 ! Cir;js (A1 + A2 − A12 )|M | = C |M (0) m+2 (0) ir;js 2 m+2 | ! Cirs (A1 + A2 − A12 )|Mm+2 |2 = Cirs |M | m+2 (0) 2 (0) 2 ! CSir;s (A1 + A2 − A12 )|M | = CS |M (0) m+2 (0) ir;s 2 | m+2 ! Cir;js (A1 + A2 − A12 )|Mm+2 |2 = Cir;js |M | m+2 (0) 2 (0) 2 ! Srs (A1 + A2 − A12 )|M(0) | = S |M (0)| 2 rs m+2|2 = CS m+2 ! CSir;s (A1 + A2 − A12 )|Mm+2 |M ir;s m+2 | (0) (0) 2 2 !the Srsdefinition (A1 + Aof )|M | = S |M | AA 2− 12 rs m+2simple m+2 12 is rather (0) (0) A12 |Mm+2 |2 ≡ A1 A2 |Mm+2 |2 does the job (0) −→ (0) 2 2 need to compute S A |M | , C A |M | and but showing that it has the right properties is non trivial, and requires t 2 kt 2 Zoltán Trócsányi: Matching of Singly- and Doubly-Unresolved Limits of Tree-level QCD Squared Matrix Elements ETH Zürich, 2005 m+2 m+2March 8,considering – p.17/22 iterated singly-unresolved (0) 2 limits and strongly-ordered doubly-unresolved limits Ckt St A2 |Mm+2 | Conclusions in the last few years, a lot of progress on the computation of NNLO cross sections sector decomposition is already up and running subtraction is making progress (stay tuned)