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Cyrille Marquet Centre de Physique Théorique Ecole Polytechnique

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Presentation on theme: "Cyrille Marquet Centre de Physique Théorique Ecole Polytechnique"— Presentation transcript:

1 Description of the ATLAS jet veto measurement using the Banfi-Marchesini-Smye equation
Cyrille Marquet Centre de Physique Théorique Ecole Polytechnique in collaboration with Y. Hatta, C.Royon, G. Soyez, T. Ueda and D. Werder Phys. Rev. D87 (2013) , arXiv:

2 The jet-veto measurement
ATLAS Collaboration, 2011 GAP FRACTION : dijets events surviving veto / total dijets events two high-pT jets with cone size R large rapidity separation Δy veto on additional jet activity with kT > Q0 in solid angle COUT Q0 >> ΛQCD

3 Comparison to QCD calculations
regime of interest for this talk: pT >> Q0 the standard NLO + parton shower approach fails to describe the data at large Δy resumming BFKL type logarithm (HEJ approach) does not help Andersen and Smillie (2011) resummation of emissions of soft gluons at large angle needed

4 The fixed-order approach
expansion of the cross section ratio Soyez (2011) Sudakov type behavior of the form

5 Gluon emission at large angles
insensitive to the collinear singularity not taken into account in parton showers resummation of soft emissions when pT >> EOUT, one can resum the soft logarithms while requiring that the energy flow into the inter-jet region is less than EOUT there are 2 types of soft logarithms: Sudakov logs and non-global logs caveat: we identify EOUT with Q0 but in principle they are different

6 Sudakov logarithms emissions from primary partons
e.g. Oderda and Sterman (1998) emissions from primary partons - real emissions allowed for kT < EOUT - virtual emissions allowed for kT < pT miscancellation between the real and virtual contributions large logs the resummation exponentiates

7 Non-global logarithms
Dasgupta and Salam (2001) emissions from secondary partons one should also forbid secondary emissions into the interjet region parametrically of the same order as the Sudakov logs, but not easy to resum (no exponentiation) the multi-gluon configuration in the inter-jet region is complicated simplifications in the large Nc limit used to derive the BMS equation

8 Banfi-Marchesini-Smye equation
Banfi, Marchesini and Smye (2002) probability Pτ that the total energy emitted outside of the cones is less than Eout differential probability for the soft gluon emission Sudakov logs non-global logs resummation variable “out” “in” analytical insight and numerical solutions are available Hatta and Ueda (2009)

9 Jet veto cross section in p+p
the BMS equation can be generalized to hadron-hadron collisions schematically, at LO the gap fraction is given by: GAP FRACTION = example channels: the different color structures impose different powers of the BMS probability this is a bit more complicated, not all powers of Pτ have the same arguments, and also the different possible color connections give different contributions draw the diagrams in the large Nc limit, the number of lines is the power of Pτ

10 Comparison to ATLAS data I
possible selections of the di-jet system: “leading pT” and “forward/backward” caveat: our LO calculation does not allow to distinguish the two cases pT dependence good description of the forward/backward data leading-pT data at the edge of uncertainty band

11 Comparison to ATLAS data II
Δy dependence good description of the forward/backward data leading-pT data at the edge of uncertainty band Q0 dependence we do not describe the Q0 dependence, this is expected since for pT ~ Q0 the soft gluon resummation is not important and we are missing NLO terms

12 Conclusions a new QCD description of the ATLAS jet-veto measurement
- for pT >> Q0 , standard NLO + parton shower doesn’t work - instead: LO+resummation of soft gluon emissions at large angles - this is done using the BMS equation with running coupling can one extend our calculation to NLO ? - i.e. fold the BMS probability on top of 2-to-3 partonic processes ? - not clear that this is feasible - if yes, we could attempt to describe both data sets - we should in principle also get a better data description at large Q0 intermediate solution ? - matching of LO+resummation approach to NLO


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