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/Coll_BaB [ Modules ]

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NAME

module Coll_BaB

PURPOSE

Implement Baryon-AntiBaryon Annihilation (for HiEnergy).


Coll_BaB/iset [ Global module-variables ]

[ Top ] [ Coll_BaB ] [ Global module-variables ]

SOURCE

  integer, save :: iset = 1

PURPOSE

Switch to choose an initialization of jets:

  • 1: phase space distribution, also the charge is conserved (new prescription)
  • 2: first jet along inPart(1) momentum, 3-d jet opposite, others orthogonal, charge is not conserved (old prescription)


Coll_BaB/readInput [ Subroutines ]

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NAME

subroutine readInput

PURPOSE

Reads input in jobcard out of namelist "coll_BaB"


Coll_BaB/coll_BaB [ Namelists ]

[ Top ] [ Coll_BaB ] [ Namelists ]

NAME

NAMELIST /coll_BaB/

PURPOSE

Includes the switches:


Coll_BaB/DoColl_BaB [ Subroutines ]

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NAME

subroutine DoColl_BaB (inPart, outPart, flagOK, sqrtS, pcm, beta)

PURPOSE

Perform a collision of particles given in "inPart" with energy "sqrtS" and return outgoing particles in "outPart".

"pcm" and "beta" are vectors used for Boost and Rotation of the event.

if "flagOK" is false, no event happened, the output in "outPart" should be neglected!

INPUTS

  • type(particle),dimension(:) :: inPart -- incoming particles
  • real :: sqrtS -- energy of ollision
  • real, dimension(0:3) :: pcm -- boost-vector
  • real, dimension(1:3) :: beta -- boost vector

OUTPUT

  • type(particle),dimension(:) :: outPart ! outgoing particles
  • logical :: flagOK ! event okay ?

NOTES

cf. DoColl_Pythia

in order to understand the meaning of "pcm" and "beta": The (Pythia-)event is done in the restframe of the two given particles. Then a call to PYROBO according

       phi = atan2(pcm(2),pcm(1))
       theta = atan2(sqrt(pcm(1)**2+pcm(2)**2),pcm(3))
       call PYROBO(1,N, theta,phi, beta(1),beta(2),beta(3))

is performed in order to transform the system into the desired (Lab-) system.


Coll_BaB/GetBalacedKT [ Subroutines ]

[ Top ] [ Coll_BaB ] [ Subroutines ]

NAME

subroutine GetBalancedKT(kTsquared, v)

PURPOSE

Select 3 transverse momenta vec{kT}_i = (kT_x, kT_y)_i randomly so that for all three |vec{kT}_i| follows a Gauss distribution and additionally all three vectors sum up to zero.

INPUTS

  • real :: kTsquared -- width of the distribution

OUTPUT

  • real, dimension(3,2) :: v -- the three 2D vectors