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Title: 13 TeV pp collisions, SM type, PYTHIA8 generator: tev13pp_pythia8_ttbarwz_wgt

Abstract

2->2 events with all W+jet, Z+jet, top, single top and SM Higgs proceses at LO+PS+hadronization. PhaseSpace:pTHatMin=100 GeV. 20,000 events per file. PDF: LHAPDF6:NNPDF23_lo_as_0130_qed. The sample was created using the Pythia8 tune Tune:pp = 14, similar to ATLAS. THis sample was created for ATLAS studies of dijet+lepton event topologies.

Creator(s)/Author(s):
Publication Date:
DOE Contract Number:  
AC02-06CH11357
Product Type:
Dataset
Research Org.:
HepSim Monte Carlo Event Repository, Argonne National Laboratory (ANL); Argonne National Lab. (ANL), Argonne, IL (United States)
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:
1575737
DOI:
10.34664/1575737

Citation Formats

Chekanov, S. 13 TeV pp collisions, SM type, PYTHIA8 generator: tev13pp_pythia8_ttbarwz_wgt. United States: N. p., 2018. Web. doi:10.34664/1575737.
Chekanov, S. 13 TeV pp collisions, SM type, PYTHIA8 generator: tev13pp_pythia8_ttbarwz_wgt. United States. doi:10.34664/1575737.
Chekanov, S. 2018. "13 TeV pp collisions, SM type, PYTHIA8 generator: tev13pp_pythia8_ttbarwz_wgt". United States. doi:10.34664/1575737. https://www.osti.gov/servlets/purl/1575737. Pub date:Thu Oct 25 00:00:00 EDT 2018
@article{osti_1575737,
title = {13 TeV pp collisions, SM type, PYTHIA8 generator: tev13pp_pythia8_ttbarwz_wgt},
author = {Chekanov, S.},
abstractNote = {2->2 events with all W+jet, Z+jet, top, single top and SM Higgs proceses at LO+PS+hadronization. PhaseSpace:pTHatMin=100 GeV. 20,000 events per file. PDF: LHAPDF6:NNPDF23_lo_as_0130_qed. The sample was created using the Pythia8 tune Tune:pp = 14, similar to ATLAS. THis sample was created for ATLAS studies of dijet+lepton event topologies.},
doi = {10.34664/1575737},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {10}
}

Dataset:

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