Top Processes

Different ways to produce top quarks, singly or in pairs.

flag  Top:all   (default = off)
Common switch for the group of top production.

flag  Top:gg2ttbar   (default = off)
Scatterings g g → t tbar. Code 601.

flag  Top:qqbar2ttbar   (default = off)
Scatterings q qbar → t tbar by gluon exchange. Code 602.

flag  Top:qq2tq(t:W)   (default = off)
Scatterings q q' → t q'' by t-channel exchange of a W^+- boson. Code 603.

flag  Top:ffbar2ttbar(s:gmZ)   (default = off)
Scatterings f fbar → t tbar by s-channel exchange of a gamma^*/Z^0 boson. Code 604.

flag  Top:ffbar2tqbar(s:W)   (default = off)
Scatterings f fbar' → t q'' by s-channel exchange of a W^+- boson. Code 605.

flag  Top:gmgm2ttbar   (default = off)
Scatterings gamma gamma → t tbar. Code 606.

flag  Top:ggm2ttbar   (default = off)
Scatterings g gamma → t tbar. Code 607 when g gamma → t tbar and 617 when gamma g → t tbar.

By default top always decays to a W and a down-type quark. It is possible to switch on the t → H+ b decay mode. Note that its partial width is calculated using the tan(beta) value stored in HiggsHchg:tanBeta, so that it can be used without having to read in a SUSY parameter file. For the H+ to decay also Higgs:useBSM = on is necessary.

Threshold enhancements

In the article "On the threshold behaviour of heavy top production", [Fad90], cross section enhancements in the threshold region were discussed. Recently both CMS and ATLAS have found signals for such enhancements. The old equations, partly but not fully available in PYTHIA 6, have therefore now been reimplemented in full. The above-threshold enhancements are straightforward to implement, but the below-threshold "toponium" are less transparent, and different scenarios are explored.

Relevant code is implemented as a new class TopThreshold in SigmaQCD.h/.cc, which is accessed by the internal gg → ttbar and qqbar → ttbar classes in the same files. The implemented scenarios and free parameters within them are as follows.

mode  TopThreshold:model   (default = 0; minimum = 0; maximum = 4)
The choice of threshold behaviour for the g g → t tbar and q qbar → t tbar processes.
option 0 : no modifications to threshold, i.e. pure Born (leading order) matrix elements.
option 1 : the simple Coulomb enhancement, which only works above the threshold, E = mHat(t + tbar) - m(t) - m(tbar) > 0.
option 2 : the Green's function correction in the threshold region, for the positive part only, E > 0. At larger E it transitions to the simple Coulomb enhancement, see width below. The reason is that the Green's function is only valid in the threshold region, and diverges above it.
option 3 : the below-threshold part of the Green's function, E < 0 is mirrored into the positive region, E' = -E > 0. This negative part is damped-out for small E, see width below. Note that subset of events generated with options 2 and 3 can be combined to a complete scenario.
option 4 : the Green's function in the whole threshold region, both E > 0 and E < 0, with transition to Coulomb above and damped-out below (see width below). The procedure is to first pick m(t) and m(tbar) by Breit-Wigners, and then pick an mHat distributed all the way down to m(t) + m(tbar) - 2 * width. If then E = mHat - m(t) - m(tbar) > 0 everything works as in option 2. If not, then a new m'(t) < m(t) and a new m'(tbar) < m(tbar) are picked according to Breit-Wigners under the requirement that E' = mHat - m'(t) - m'(tbar) > 0. Finally the event is accepted or rejected according to the naive cross section reweighted to the Green's function value. This handling of the E < 0 part is more realistic than the previous options, and the best bet, is but not perfect.

parm  TopThreshold:width   (default = 10.; minimum = 5.; maximum = 20.)
the Green's function, when used, is assumed valid in the threshold region [-width, +width]. Above threshold, in the region [width, 2 * width], it linearly transitions to the Coulomb expression. Below threshold, in the region [-2 * width, -width], it is linearly damped to zero.

mode  TopThreshold:alphasOrder   (default = 2; minimum = 0; maximum = 2)
the order of the running of the alpha_strong, used for the top threshold factors (and nowhere else).
option 0 : no running.
option 1 : first-order running.
option 2 : second-order running.

parm  TopThreshold:alphasValue   (default = 0.118; minimum = 0.10; maximum = 0.25)
the alpha_strong value at scale M_Z^2, that then runs according to the order defined above.

parm  TopThreshold:ggSingletFrac   (default = 0.28571; minimum = 0.; maximum = 1.)
in the g g → t tbar process, colour factors gives 2/7 singlet and the rest octet, but dynamics might modify this.

parm  TopThreshold:qqSingletFrac   (default = 0.; minimum = 0.; maximum = 1.)
in the q qbar → t tbar process colour arguments gives all octet and no singlet, but again modifications are possible.

Note 1: Model 4, for E < 0 redefines the t and tbar mass values in order to achieve a new E' > 0. In order still to have access to the original quantities, before the new masses were selected, the following quantities are saved and retrievable:
pythia.info.toponiumE the original threshold energy E, which may have either sign;
pythia.info.toponiumm3, pythia.info.toponiumm4 the two original t and tbar masses, which are larger than the m' ones found in the event record.

Note 2: When generating only the below-threshold region, which is nonzero only in a limited energy/mass range, the initialization may miss to sample this range and conclude that the cross section vanishes everywhere. Therefore we want to set a nonvanishing smallest value during initialization, but not during event generation. To this end a new method pythia.info.getInInit() returns true in pythia.init() and false in pythia.next().

Note 3: Four main program explore the usage of this code:
main368.cc plots the shape of the pure singlet and octet enhancements;
main369.cc and main370.cc histogram a few quantities for many different scenarios, to allow direct comparisons, with code for parallelization using either OpenMP or PythiaParallel, respectively;
main371.cc histograms a wider set of quantities, but only for one model at a time, which can be chosen among a smaller selection.