The Perugia Tunes
By Peter Z. Skands. 2009
324 citations recorded by the source corpus.
We present 7 new tunes of the pT-ordered shower and underlying-event model in Pythia 6.4. These "Perugia" tunes update and supersede the older "S0" family. The new tunes include the updated LEP fragmentation and flavour parameters reported on by H. Hoeth at this workshop. The hadron-collider specific parameters were then retuned (manually) using Tevatron min-bias data from 630, 1800, and 1960 GeV, Tevatron Drell-Yan data at 1800 and 1960 GeV, as well as SPS min-bias data at 200, 540, and 900 GeV. In addition to the central parameter set, related tunes exploring systematically soft, hard, parton density, and color structure variations are included. Based on these variations, a best-guess prediction of the charged track multiplicity in inelastic, nondiffractive minimum-bias events at the LHC is made.
Subfields: Biomedical Engineering, Nuclear and High Energy Physics
View Paper: https://www.semanticscholar.org/paper/3a0a10ba3734d595b5f553a39b1fe7fe3f03e531
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Citations in the corpus
- Study of high-pT charged particle suppression in PbPb compared to pp collisions at $\sqrt{s_{\mathrm{NN}}}=2.76~\mathrm{TeV}$ (2012, methodology): “3 (a) are various generator-level predictions from the PYTHIA MC [21] for different tunes [22–25], and the ratios of the data to the various MC predictions.”
- Event generator tunes obtained from underlying event and multiparton scattering measurements (2015, methodology): “The pythia6 Tune Z2∗lep [25] uses the improved fragmentation parameters from fits to the LEP e+e− data [31], and a double-Gaussian matter profile for the colliding protons but corresponds to an outdated CMS UE tune.”
- Boosted objects: a probe of beyond the standard model physics (2010, methodology): “16 The Perugia tune [82] uses a pT -ordered parton shower.”
- String formation beyond leading colour (2015, background): “in the form of the Perugia family of tunes [94, 95].”
- Jet energy resolution in proton-proton collisions at sqrt(s) = 7 TeV recorded in 2010 with the ATLAS detector (2012, methodology): “The PYTHIA PERUGIA2010 tune is an independent tune of PYTHIA to hadron collider data with increased finalstate radiation to better reproduce the jet and hadronic event shapes observed in LEP and Tevatron data [21].”
- Λ c + production in pp collisions at √s=7 TeV and in p-Pb collisions at √sNN=5.02 TeV (2017, methodology): “The event generator used to simulate pp collisions was PYTHIA 6.4.21 [71] with the Perugia-0 tune [72].”
- Search for additional heavy neutral Higgs and gauge bosons in the ditau final state produced in 36 fb−1 of pp collisions at s=13$$ \sqrt{s}=13 $$ TeV with the ATLAS detector (2018, methodology): “428 [66] for parton showering and hadronisation, with the Perugia2012 tune [67] and CTEQ6L1 PDF [68] to describe the underlying event.”
- Reweighting QCD matrix-element and parton-shower calculations (2016, background): “In addition to the listed categories, generically nonperturbative effects such as hadronisation or the underlying event are described through phenomenological models that feature various generator-specific choices and parameters, typically subject to tuning against experimental data, see for instanc”
- Early LHC Underlying Event Data - Findings and Surprises (2010, methodology): “havior of their event modeling. A specified set of these parameters that has been adjusted to better fit some aspects of the data is Proceedings of HCP2010 – Toronto Page 2 of 8 referred to as a tune [3]. PYTHIA Tune A was determined by fitting the CDF Run 1 underlying event data [2]. Later it was n”
- Search for additional heavy neutral Higgs and gauge bosons in the ditau final state produced in 36 fb$^{-1}$ of $pp$ collisions at $\sqrt{s}$ = 13 TeV with the ATLAS detector (2017, methodology): “428 [66] for parton showering and hadronisation, with the Perugia2012 tune [67] and CTEQ6L1 PDF [68] to describe the underlying event.”
- Measurement of D-meson production at mid-rapidity in pp collisions at √s=7 TeV (2017, methodology): “21 event generator [38] (Perugia-0 tune [39]), and particle transport through the apparatus using GEANT3 [40].”