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Title: 14 TeV pp collisions, SM type, PYTHIA8 generator: tev14pp_pythia8_gammajet_weighted

Abstract

Inclusive direct photon (gamma) production for pT>15 GeV. PDF: LHAPDF6:NNPDF23_lo_as_0130_qed and Tune:pp = 14 (Monash 2013 Tune). 10,000 events per file. How to use: The events are weighted to obtain good statistics up to large pT. This feature is set via PhaseSpace:bias2Selection and PhaseSpace:bias2SelectionPow = 5.0. Use the event weights to obtain the 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:
+ Show Author Affiliations
  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:
1575743
DOI:
10.34664/1575743

Citation Formats

Chekanov, S. 14 TeV pp collisions, SM type, PYTHIA8 generator: tev14pp_pythia8_gammajet_weighted. United States: N. p., 2018. Web. doi:10.34664/1575743.
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Chekanov, S. 14 TeV pp collisions, SM type, PYTHIA8 generator: tev14pp_pythia8_gammajet_weighted. United States. doi:10.34664/1575743.
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Chekanov, S. 2018. "14 TeV pp collisions, SM type, PYTHIA8 generator: tev14pp_pythia8_gammajet_weighted". United States. doi:10.34664/1575743. https://www.osti.gov/servlets/purl/1575743. Pub date:Sat Dec 15 00:00:00 EST 2018
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@article{osti_1575743,
title = {14 TeV pp collisions, SM type, PYTHIA8 generator: tev14pp_pythia8_gammajet_weighted},
author = {Chekanov, S.},
abstractNote = {Inclusive direct photon (gamma) production for pT>15 GeV. PDF: LHAPDF6:NNPDF23_lo_as_0130_qed and Tune:pp = 14 (Monash 2013 Tune). 10,000 events per file. How to use: The events are weighted to obtain good statistics up to large pT. This feature is set via PhaseSpace:bias2Selection and PhaseSpace:bias2SelectionPow = 5.0. Use the event weights to obtain the 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 = {10.34664/1575743},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {12}
}
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Dataset:
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DOI: 10.34664/1575743
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