AliGenerator *
GeneratorCustom()
{
comment = comment.Append(" pp: Pythia 6 (Perugia2011 tune) high mult");
AliGenPythia* pythia = (AliGenPythia*)GeneratorPythia6(kPythia6Tune_Perugia2011);
// multiplicity threshold set to 60 in |eta| < 1.4
pythia->SetTriggerChargedMultiplicity(60, 1.4);
return pythia;
}
AliGenerator* MbPythiaTuneATLAS_Flat()
{
AliGenPythia* pythia = MbPythiaTuneATLAS();
comment = comment.Append("; flat multiplicity distribution");
// set high multiplicity trigger
// this weight achieves a flat multiplicity distribution
Double_t cont[] =
{0,
0.234836, 0.103484, 0.00984802, 0.0199906, 0.0260018, 0.0208481, 0.0101477, 0.00146998, -0.00681513, -0.0114928,
-0.0113352, -0.0102012, -0.00895238, -0.00534961, -0.00261648, -0.000819048, 0.00130816, 0.00177978, 0.00373838, 0.00566255,
0.00628156, 0.00687458, 0.00668017, 0.00702917, 0.00810848, 0.00876167, 0.00832783, 0.00848518, 0.0107709, 0.0106849,
0.00933702, 0.00912525, 0.0106553, 0.0102785, 0.0101756, 0.010962, 0.00957103, 0.00970448, 0.0117133, 0.012271,
0.0113, 0.0113, 0.0113, 0.0113, 0.0113, 0.0113, 0.0113, 0.0113, 0.0113, 0.0113,
0.0113, 0.0113, 0.0113, 0.0113, 0.0113, 0.0113, 0.0113, 0.0113, 0.0113, 0.0113,
0.0113, 0.0113, 0.0113, 0.0113, 0.0113, 0.0113, 0.0113, 0.0113, 0.0113, 0.0113,
0.0113, 0.0113, 0.0113, 0.0113, 0.0113, 0.0113, 0.0113, 0.0113, 0.0113, 0.0113,
0.0113, 0.0113, 0.0113, 0.0113, 0.0113, 0.0113, 0.0113, 0.0113, 0.0113, 0.0113,
0.0113, 0.0113, 0.0113, 0.0113, 0.0113, 0.0113, 0.0113, 0.0113, 0.0113, 0.0113,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0};
Double_t err[] =
{0,
0.00168216, 0.000743548, 0.00103125, 0.00108605, 0.00117101, 0.00124577, 0.00129119, 0.00128341, 0.00121421, 0.00112431,
0.00100588, 0.000895078, 0.000790314, 0.000711673, 0.000634547, 0.000589133, 0.000542763, 0.000509552, 0.000487375, 0.000468906,
0.000460196, 0.000455806, 0.00044843, 0.000449317, 0.00045007, 0.000458016, 0.000461167, 0.000474742, 0.00050161, 0.00051637,
0.000542336, 0.000558854, 0.000599169, 0.000611982, 0.000663855, 0.000696322, 0.000722825, 0.000771686, 0.000838023, 0.000908317,
0.0003, 0.0003, 0.0003, 0.0003, 0.0003, 0.0003, 0.0003, 0.0003, 0.0003, 0.0003,
0.0003, 0.0003, 0.0003, 0.0003, 0.0003, 0.0003, 0.0003, 0.0003, 0.0003, 0.0003,
0.0003, 0.0003, 0.0003, 0.0003, 0.0003, 0.0003, 0.0003, 0.0003, 0.0003, 0.0003,
0.0003, 0.0003, 0.0003, 0.0003, 0.0003, 0.0003, 0.0003, 0.0003, 0.0003, 0.0003,
0.0003, 0.0003, 0.0003, 0.0003, 0.0003, 0.0003, 0.0003, 0.0003, 0.0003, 0.0003,
0.0003, 0.0003, 0.0003, 0.0003, 0.0003, 0.0003, 0.0003, 0.0003, 0.0003, 0.0003,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0};
TH1F *weight = new TH1F("newweight","newweight",120,-0.5,119.5);
weight->SetContent(cont);
weight->SetError(err);
Int_t limit = weight->GetRandom();
pythia->SetTriggerChargedMultiplicity(limit, 1.4);
comment = comment.Append(Form("; multiplicity threshold set to %d in |eta| < 1.4", limit));
return pythia;
}
AliGenerator* MbPythiaTuneATLAS_Flat()
{
AliGenPythia* pythia = MbPythiaTuneATLAS();
comment = comment.Append("; flat multiplicity distribution");
// set high multiplicity trigger
// this weight achieves a flat multiplicity distribution
TH1 *weight = new TH1D("weight","weight",201,-0.5,200.5);
weight->SetBinContent(1,5.49443);
weight->SetBinContent(2,8.770816);
weight->SetBinContent(6,0.4568624);
weight->SetBinContent(7,0.2919915);
weight->SetBinContent(8,0.6674189);
weight->SetBinContent(9,0.364737);
weight->SetBinContent(10,0.8818444);
weight->SetBinContent(11,0.531885);
weight->SetBinContent(12,1.035197);
weight->SetBinContent(13,0.9394057);
weight->SetBinContent(14,0.9643193);
weight->SetBinContent(15,0.94543);
weight->SetBinContent(16,0.9426507);
weight->SetBinContent(17,0.9423649);
weight->SetBinContent(18,0.789456);
weight->SetBinContent(19,1.149026);
weight->SetBinContent(20,1.100491);
weight->SetBinContent(21,0.6350525);
weight->SetBinContent(22,1.351941);
weight->SetBinContent(23,0.03233504);
weight->SetBinContent(24,0.9574557);
weight->SetBinContent(25,0.868133);
weight->SetBinContent(26,1.030998);
weight->SetBinContent(27,1.08897);
weight->SetBinContent(28,1.251382);
weight->SetBinContent(29,0.1391099);
weight->SetBinContent(30,1.192876);
weight->SetBinContent(31,0.448944);
weight->SetBinContent(32,1);
weight->SetBinContent(33,1);
weight->SetBinContent(34,1);
weight->SetBinContent(35,1);
weight->SetBinContent(36,0.9999997);
weight->SetBinContent(37,0.9999997);
weight->SetBinContent(38,0.9999996);
weight->SetBinContent(39,0.9999996);
weight->SetBinContent(40,0.9999995);
weight->SetBinContent(41,0.9999993);
weight->SetBinContent(42,1);
weight->SetBinContent(43,1);
weight->SetBinContent(44,1);
weight->SetBinContent(45,1);
weight->SetBinContent(46,1);
weight->SetBinContent(47,0.9999999);
weight->SetBinContent(48,0.9999998);
weight->SetBinContent(49,0.9999998);
weight->SetBinContent(50,0.9999999);
weight->SetBinContent(51,0.9999999);
weight->SetBinContent(52,0.9999999);
weight->SetBinContent(53,0.9999999);
weight->SetBinContent(54,0.9999998);
weight->SetBinContent(55,0.9999998);
weight->SetBinContent(56,0.9999998);
weight->SetBinContent(57,0.9999997);
weight->SetBinContent(58,0.9999996);
weight->SetBinContent(59,0.9999995);
weight->SetBinContent(60,1);
weight->SetBinContent(61,1);
weight->SetBinContent(62,1);
weight->SetBinContent(63,1);
weight->SetBinContent(64,1);
weight->SetBinContent(65,0.9999999);
weight->SetBinContent(66,0.9999998);
weight->SetBinContent(67,0.9999998);
weight->SetBinContent(68,0.9999999);
weight->SetBinContent(69,1);
weight->SetBinContent(70,1);
weight->SetBinContent(71,0.9999997);
weight->SetBinContent(72,0.9999995);
weight->SetBinContent(73,0.9999994);
weight->SetBinContent(74,1);
weight->SetBinContent(75,1);
weight->SetBinContent(76,1);
weight->SetBinContent(77,1);
weight->SetBinContent(78,0.9999999);
weight->SetBinContent(79,1);
weight->SetBinContent(80,1);
weight->SetEntries(526);
Int_t limit = weight->GetRandom();
pythia->SetTriggerChargedMultiplicity(limit, 1.4);
comment = comment.Append(Form("; multiplicity threshold set to %d in |eta| < 1.4", limit));
return pythia;
}