LIGHT-CONE VARIABLES
Let us start by introducing light-cone variables. They are defined in the following way:USING LIGHT-CONE VARIABLES: LEADING LOG APPROXIMATION
The light-cone variables introduced above are now used to rewrite the matrix element for ee→qqg in terms of z=z2+ and t:SUMMING LEADING LOGS
Rather than trying to sum the emerging logs now by employing theoretical arguments, let us analyse and interpret the structure of the expression above. Simple considerations tell us that the 1/t' term looks like the propagator of a massless particle - in fact, it is the propagator of the "decaying" particle. Similarly, the splitting function is a local approximation of the full amplitude, projected on the piece where a specified quark line decays into quark and gluon. In other words, it is something like a "decay amplitude" squared.ANGULAR ORDERING
Let us turn for a second to the case of QED radiation and consider a virtual photon splitting into an electron-positron, which in turn emits another photon, see below.RESUMMATION AND THE SUDAKOV FORM FACTOR
Let us now return to the expression above for multiple gluon emission. When replacing the virtual masses with the corresponding transverse momenta, the limits of the z-integration can easily be fixed. This allows to define the integrated splitting function, aka the branching functionNLL JETRATES IN ee→ hadrons
Coming back to the interpretation of the Sudakov form factor it is now easy to construct expression for resummed jet rates at MLLA accuracy. For instance, the two-jet rate in ee-annihilations at the level of quarks and gluons is just given by the probability that neither the quark nor the antiquark emit a resolvable gluon. Choosing now a jet definition based on transverse momenta, like, e.g. the Durham scheme, it is clear how this connects with the Sudakov form factors:SIMULATIONS
The probabilistic interpretation of the Sudakov form factor lends itself a way to a simulation of the multiple emission pattern of QCD radiation. Such simulations have a Markovian structure - they can be set up in a recursive fashion with (up to kinematics) independent emissions. In such simulations, aka parton showers, starting from a scale Q, the next emission at scale q is recovered by equating a ratio of Sudakov form factors (exactly like the one above) with a random number. Since this ratio gives the probability for no resolvable emission between the two scales, one minus this ratio yields the probability for having an emission at q. Thus equating this ratio with a random number and solving for q yields the correct distribution of QCD radiation in terms of transverse momenta.![]() |
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In the plots above, y is the square of the resolution cut divided by the c.m. energy. The c.m. energy is 91.2 GeV (LEP1), thus y=0.01 corresponds to transverse momenta of 9.12 GeV, y=0.0001 corresponds to transverse momenta of 0.9 GeV. In all plots above, data (the boxes) are from LEP1, and can be found in a publication by Pfeifenschneider et al.. The black line is a simulation by Sherpa. |