2010.07.23 PyTune comparison with photon candidates: Perugia0 vs. Pro-PT0
Related posts
- Perugia0 and CDF-Tune-A comparison vs. Run6 data
- Michael's Perugia 0, Pro-pT0, and CDF Tune A comparison
- Thread at the phana list
Data samples and colour coding
- black Pythia QCD Monte-Carlo with Pro-Pt0 tune (pytune=329), partonic pt 9-15
- red Pythia QCD Monte-Carlo with Perugia0 tune (pytune=320), partonic pt 9-15
Event selection
Ran full Pythia+GSTAR simulation and require at least one
reconstucred EEMC photon candidate in the gamma Maker.
Figure 1:
Left: Reconstructed photon candidate transverse momentum (no normalization factor applied)
Right: ratio of Pro-Pt0/Perugia0 simulations (solid Line: "a+b*x" fit to ratio)
Event selections: require at least one reconstucred EEMC photon candidate
Figure 2:
Same as in Fig. 1 with different event selection criteria:
L2E-gamma, |v_z| < 120cm, at least one EEMC gamma candidate
Pytune parameters comparison table
pytune(320) Perugia 0
P. Skands, Perugia MPI workshop October 2008
and T. Sjostrand & P. Skands, hep-ph/0408302
CR by M. Sandhoff & P. Skands, in hep-ph/0604120
LEP parameters tuned by Professor
pytune(329) Pro-pT0
See T. Sjostrand & P. Skands, hep-ph/0408302
and M. Sandhoff & P. Skands, in hep-ph/0604120
LEP/Tevatron parameters tuned by Professor
Red text indicates the parameter which are different between tunes
| Parameter | Perugia 0 | Pro-pT0 | Parameter description |
| MSTP(51) | 7 | 7 | PDF set |
| MSTP(52) | 1 | 1 | PDF set internal (=1) or pdflib (=2) |
| MSTP(64) | 3 | 2 | ISR alphaS type |
| PARP(64) | 1.0000 | 1.3000 | ISR renormalization scale prefactor |
| MSTP(67) | 2 | 2 | ISR coherence option for 1st emission |
| PARP(67) | 1.0000 | 4.0000 | ISR Q2max factor |
| MSTP(68) | 3 | 3 | ISR phase space choice & ME corrections (Note: MSTP(68) is not explicitly (re-)set by PYTUNE) |
| MSTP(70) | 2 | 2 | ISR IR regularization scheme |
| MSTP(72) | 1 | 0 | ISR scheme for FSR off ISR |
| PARP(71) | 2.0000 | 2.0000 | FSR Q2max factor for non-s-channel procs |
| PARJ(81) | 0.2570 | 0.2570 | FSR Lambda_QCD scale |
| PARJ(82) | 0.8000 | 0.8000 | FSR IR cutoff |
| MSTP(81) | 21 | 21 | UE model |
| PARP(82) | 2.0000 | 1.8500 | UE IR cutoff at reference ecm (Note: PARP(82) replaces PARP(62).) |
| PARP(89) | 1800.0000 | 1800.0000 | UE IR cutoff reference ecm |
| PARP(90) | 0.2600 | 0.2200 | UE IR cutoff ecm scaling power |
| MSTP(82) | 5 | 5 | UE hadron transverse mass distribution |
| PARP(83) | 1.7000 | 1.8000 | UE mass distribution parameter |
| MSTP(88) | 0 | 0 | BR composite scheme |
| MSTP(89) | 1 | 1 | BR colour scheme |
| PARP(79) | 2.0000 | 1.1800 | BR composite x enhancement |
| PARP(80) | 0.0500 | 0.0100 | BR breakup suppression |
| MSTP(91) | 1 | 1 | BR primordial kT distribution |
| PARP(91) | 2.0000 | 2.0000 | BR primordial kT width <|kT|> |
| PARP(93) | 10.0000 | 7.0000 | BR primordial kT UV cutoff |
| MSTP(95) | 6 | 6 | FSI colour (re-)connection model |
| PARP(78) | 0.3300 | 0.1700 | FSI colour reconnection strength |
| PARP(77) | 0.9000 | 0.0000 | FSI colour reco high-pT dampening streng |
| MSTJ(11) | 5 | 5 | HAD choice of fragmentation function(s) |
| PARJ(21) | 0.3130 | 0.3130 | HAD fragmentation pT |
| PARJ(41) | 0.4900 | 0.4900 | HAD string parameter a |
| PARJ(42) | 1.2000 | 1.2000 | HAD string parameter b |
| PARJ(46) | 1.0000 | 1.0000 | HAD Lund(=0)-Bowler(=1) rQ (rc) |
| PARJ(47) | 1.0000 | 1.0000 | HAD Lund(=0)-Bowler(=1) rb |
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