Search Navigation Menu
DOE Data Explorer title logo U.S. Department of Energy
Office of Scientific and Technical Information
Search Scientific Data

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

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:
+ Show Author Affiliations
  1. Argonne National Lab. (ANL), Argonne, IL (United States); Argonne National Laboratory (ANL)
Publication Date:
DOE Contract Number:  
AC02-06CH11357
Research Org.:
HepSim Monte Carlo Event Repository, Argonne National Laboratory (ANL); Argonne National Laboratory (ANL), Argonne, IL (United States)
Sponsoring Org.:
USDOE Office of Science (SC)
Subject:
72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDS; LO+PS+hadronisation; Monte Carlo; PYTHIA8; SM; high energy physics; particle physics; simulations
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.
Copy to clipboard
Chekanov, S. 14 TeV pp collisions, SM type, PYTHIA8 generator: tev14pp_qcd_pythia8_weighted. United States. doi:https://doi.org/10.34664/1575701
Copy to clipboard
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 04:00:00 UTC 2017
Copy to clipboard
@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}
}
Copy to clipboard
Dataset:
View Dataset
DOI: https://doi.org/10.34664/1575701
Save / Share:
Export Metadata
Save to My Library
You must Sign In or Create an Account in order to save documents to your library.

Similar records in DOE Data Explorer and OSTI.GOV collections: