skip to main content
DOE Data Explorer title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: 13 TeV pp collisions, Exotics type, PYTHIA8 generator: tev13pp_pythia8_zbbar

Abstract

Zprime decaying to b-quarks (bbar) for different masses of Zprime. Cross sections depend on the mass (given in the log files). The Zprime mass is encoded in the file names as *_m[MASS]. For each mass, 10 files are generated with 5,000 events per file. Other details are in the log files attached to the files.

Authors:

  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:
Exotics; PYTHIA8; LO+PS+hadronisation; Monte Carlo; simulations; particle physics; high energy physics
OSTI Identifier:
1575522
DOI:
10.34664/1575522

Citation Formats

Chekanov, S. 13 TeV pp collisions, Exotics type, PYTHIA8 generator: tev13pp_pythia8_zbbar. United States: N. p., 2015. Web. doi:10.34664/1575522.
Chekanov, S. 13 TeV pp collisions, Exotics type, PYTHIA8 generator: tev13pp_pythia8_zbbar. United States. doi:10.34664/1575522.
Chekanov, S. 2015. "13 TeV pp collisions, Exotics type, PYTHIA8 generator: tev13pp_pythia8_zbbar". United States. doi:10.34664/1575522. https://www.osti.gov/servlets/purl/1575522. Pub date:Thu Apr 23 00:00:00 EDT 2015
@article{osti_1575522,
title = {13 TeV pp collisions, Exotics type, PYTHIA8 generator: tev13pp_pythia8_zbbar},
author = {Chekanov, S.},
abstractNote = {Zprime decaying to b-quarks (bbar) for different masses of Zprime. Cross sections depend on the mass (given in the log files). The Zprime mass is encoded in the file names as *_m[MASS]. For each mass, 10 files are generated with 5,000 events per file. Other details are in the log files attached to the files.},
doi = {10.34664/1575522},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2015},
month = {4}
}

Dataset:

Save / Share: