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Title: 13 TeV pp collisions, SM type, PYTHIA8 generator: tev13pp_qcd_pythia8_weighted

Abstract

Inclusive dijet events for pT>50 GeV. (PhaseSpace:pTHatMin=50 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. 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 (thanks to Caterina Doglioni). 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:
;
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:
1575516
DOI:
https://doi.org/10.34664/1575516

Citation Formats

Chekanov, S., and Doglioni, C.. 13 TeV pp collisions, SM type, PYTHIA8 generator: tev13pp_qcd_pythia8_weighted. United States: N. p., 2015. Web. doi:10.34664/1575516.
Chekanov, S., & Doglioni, C.. 13 TeV pp collisions, SM type, PYTHIA8 generator: tev13pp_qcd_pythia8_weighted. United States. doi:https://doi.org/10.34664/1575516
Chekanov, S., and Doglioni, C.. 2015. "13 TeV pp collisions, SM type, PYTHIA8 generator: tev13pp_qcd_pythia8_weighted". United States. doi:https://doi.org/10.34664/1575516. https://www.osti.gov/servlets/purl/1575516. Pub date:Mon Oct 26 00:00:00 EDT 2015
@article{osti_1575516,
title = {13 TeV pp collisions, SM type, PYTHIA8 generator: tev13pp_qcd_pythia8_weighted},
author = {Chekanov, S. and Doglioni, C.},
abstractNote = {Inclusive dijet events for pT>50 GeV. (PhaseSpace:pTHatMin=50 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. 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 (thanks to Caterina Doglioni). 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 = {10.34664/1575516},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2015},
month = {10}
}