14 TeV pp collisions, SM type, PYTHIA8 generator: tev14pp_qcd_pythia8_weighted

Chekanov, S.

doi:10.34664/1575701

Title: 14 TeV pp collisions, SM type, PYTHIA8 generator: tev14pp_qcd_pythia8_weighted

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Abstract

Inclusive dijet events for pT>40 GeV. (PhaseSpace:pTHatMin=40 GeV). PDF: LHAPDF6:NNPDF23_lo_as_0130_qed and Tune:pp = 14 (Monash 2013 Tune). 5,000 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.

Authors:

Chekanov, S.

Argonne National Lab. (ANL), Argonne, IL (United States)

Publication Date:: 2017-08-24

DOE Contract Number:: AC02-06CH11357

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:: 1575701

DOI:: https://doi.org/10.34664/1575701

Citation Formats


                    Chekanov, S. 14 TeV pp collisions, SM type, PYTHIA8 generator: tev14pp_qcd_pythia8_weighted.  United States: N. p., 2017. 
        Web.  doi:10.34664/1575701.

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                    Chekanov, S. 14 TeV pp collisions, SM type, PYTHIA8 generator: tev14pp_qcd_pythia8_weighted.  United States.  doi:https://doi.org/10.34664/1575701

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                    Chekanov, S. 2017.  
"14 TeV pp collisions, SM type, PYTHIA8 generator: tev14pp_qcd_pythia8_weighted".  United States.  doi:https://doi.org/10.34664/1575701.  https://www.osti.gov/servlets/purl/1575701. Pub date:Thu Aug 24 00:00:00 EDT 2017

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@article{osti_1575701,

  title        = {14 TeV pp collisions, SM type, PYTHIA8 generator: tev14pp_qcd_pythia8_weighted},

  author       = {Chekanov, S.},

  abstractNote = {Inclusive dijet events for pT>40 GeV. (PhaseSpace:pTHatMin=40 GeV). PDF: LHAPDF6:NNPDF23_lo_as_0130_qed and Tune:pp = 14 (Monash 2013 Tune). 5,000 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.},

  doi          = {10.34664/1575701},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {2017},

  month        = {8}

}

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DOI: https://doi.org/10.34664/1575701

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