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Title: 27 TeV pp collisions, SM type, PYTHIA8 generator: tev27pp_qcd_pythia8_weighted

Abstract

Inclusive dijet events for pT>50 GeV. (PhaseSpace:pTHatMin=50 GeV). PDF: LHAPDF6:NNPDF23_lo_as_0130_qed. Pythia8 tune Tune:pp = 14 similar to ATLAS. Created for studies by Frank Taylor. How to use: This is weighted events to obtain good statistics up to very large pT. This feature is set via PhaseSpace:bias2Selection and PhaseSpace:bias2SelectionPow = 5.0. Use event weights to obtain correct pT distribution. Slimmed as: Particle records are slimmed (all stable with pT>0.3 GeV) and (PID=5 || PID=6) or PID>22 && PID<38) or PID>10 && PID<17).

Authors:

  1. Argonne National Lab. (ANL), Argonne, IL (United States)
Publication Date:
DOE Contract Number:  
AC02-06CH11357
Product Type:
Dataset
Research Org.:
Argonne National Lab. (ANL), Argonne, IL (United States). HepSim Monte Carlo Event Repository
Sponsoring Org.:
USDOE Office of Science (SC)
Subject:
72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDS
Keywords:
SM; PYTHIA8; LO+PS+hadronisation; Monte Carlo; simulations; particle physics; high energy physics
OSTI Identifier:
1575724
DOI:
10.34664/1575724

Citation Formats

Chekanov, S. 27 TeV pp collisions, SM type, PYTHIA8 generator: tev27pp_qcd_pythia8_weighted. United States: N. p., 2018. Web. doi:10.34664/1575724.
Chekanov, S. 27 TeV pp collisions, SM type, PYTHIA8 generator: tev27pp_qcd_pythia8_weighted. United States. doi:10.34664/1575724.
Chekanov, S. 2018. "27 TeV pp collisions, SM type, PYTHIA8 generator: tev27pp_qcd_pythia8_weighted". United States. doi:10.34664/1575724. https://www.osti.gov/servlets/purl/1575724. Pub date:Tue Apr 17 00:00:00 EDT 2018
@article{osti_1575724,
title = {27 TeV pp collisions, SM type, PYTHIA8 generator: tev27pp_qcd_pythia8_weighted},
author = {Chekanov, S.},
abstractNote = {Inclusive dijet events for pT>50 GeV. (PhaseSpace:pTHatMin=50 GeV). PDF: LHAPDF6:NNPDF23_lo_as_0130_qed. Pythia8 tune Tune:pp = 14 similar to ATLAS. Created for studies by Frank Taylor. How to use: This is weighted events to obtain good statistics up to very large pT. This feature is set via PhaseSpace:bias2Selection and PhaseSpace:bias2SelectionPow = 5.0. Use event weights to obtain correct pT distribution. Slimmed as: Particle records are slimmed (all stable with pT>0.3 GeV) and (PID=5 || PID=6) or PID>22 && PID<38) or PID>10 && PID<17).},
doi = {10.34664/1575724},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {4}
}

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