Event Information
The Info class collects various one-of-a-kind information,
some relevant for all events and others for the current event.
An object info is a public member of the Pythia
class, so if you e.g. have declared Pythia pythia, the
Info methods can be accessed by
pythia.info.method(). Most of this is information that
could also be obtained e.g. from the event record, but is here more
directly available. It is intended for processes generated internally
in Pythia, not for ones read in e.g. via the Les Houches Accord.
Here are the currently available methods related to each event:
method list()
a listing of most of the information set for the current event.
method idA(), idB()
the identities of the two beam particles.
method pzA(), pzB()
the longitudinal momenta of the two beam particles.
method eA(), eB()
the energies of the two beam particles.
method mA(), mB()
the masses of the two beam particles.
method eCM(), s()
the cm energy and its square for the two beams.
method name(), code()
the name and code of the process that occured.
method nFinal()
the number of final-state partons in the hard process.
method isResolved()
are beam particles resolved, i.e. were PDF's used for the process?
method isDiffractiveA(), isDiffractiveB()
is either beam diffractively excited?
method isMinBias()
is the process a minimum-bias one?
method hasSub()
does the process have a subprocess classification?
Currently only true for minbias, where it allows the hardest
collision to be identified.
method nameSub(), codeSub(), nFinalSub()
the name, code and number of final-state partons in the subprocess
that occured when hasSub() is true. For instance, for
a minimum-bias event the code would always be 101,
while codeSub() would vary depending on the actual
hardest interaction, e.g. 111 for g g -> g g. The methods
below would also provide information for this particular subcollision.
method id1(), id2()
the identities of the two partons coming in to the hard process.
method x1(), x2()
x fractions of the two partons coming in to the hard process.
method y(), tau()
rapidity and scaled mass-squared of the hard-process subsystem, as
defined by the above x values.
method pdf1(), pdf2()
parton densities x*f(x,Q^2 )evaluated for the two incoming
partons; could be used e.g. for reweighting purposes.
method QFac(), Q2Fac()
the Q^2 or Q^2 factorization scale at which the
densities were evaluated.
method alphaS(), alphaEM()
the alpha_strong and alpha_electromagnetic values used
for the hard process.
method QRen(), Q2Ren()
the Q or Q^2 renormalization scale at which
alpha_strong and alpha_electromagnetic were evaluated.
method mHat(), sHat()
the invariant mass and its square for the hard process.
method tHat(), uHat()
the remaining two Mandelstam variables; only defined for 2 -> 2
processes.
method pTHat(), pT2Hat()
transverse momentum and its square in the rest frame of a 2 -> 2
processes.
method m3Hat(), m4Hat()
the masses of the two outgoing particles in a 2 -> 2 processes.
method thetaHat(), phiHat()
the polar and azimuthal scattering angles in the rest frame of
a 2 -> 2 process.
method bMI()
the impact parameter b assumed for the current collision when
multiple interactions are simulated. Is not expressed in any physical
size (like fm), but only rescaled so that the average should be unity
for minimum-bias events (meaning less than that for events with hard
processes).
method enhanceMI()
The choice of impact parameter implies an enhancement or depletion of
the rate of subsequent interactiosn, as given by this number. Again
the average is normalized be unity for minimum-bias events (meaning
more than that for events with hard processes).
method nMI()
the number of hard interactions in the current event. Is 0 for elastic
and diffractive events, and else at least 1, with more possible from
multiple interactions.
method codeMI(i), pTMI(i)
the process code and transverse momentum of the i'th
subprocess, with i in the range from 0 to
nMI() - 1. The values for subprocess 0 is redundant with
information already provided above.
method nISR(), nFSRinProc(), nFSRinRes()
the number of emissions in the initial-state showering, in the final-state
showering excluding resonance decys, and in the final-state showering
inside resonance decays, respectively. Not yet fully implemented.
Here are the currently available methods related to the event sample
as a whole. While continuously updated during the run, it is recommended
only to study these properties at the end of the event generation,
when the full statistics is available.
method nTried(), nSelected(), nAccepted()
the total number of tried phase-space points, selected hard processes
and finally accepted events, summed over all allowed subprocesses.
The first number is only intended for a study of the phase-space selection
efficiency. The last two numbers only disagree if the user introduces some
veto during the event-generation process; then the former is the number of
acceptable events found by Pythia and the latter the number that also
were approved by the user.
method sigmaGen(), sigmaErr()
the estimated cross section and its estimated error,
summed over all allowed subprocesses, in units of mb. The numbers refer to
the accepted event sample above, i.e. after any user veto.