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Title: 150 GeV pgun collisions, Double particles type, PARTICLE GUN generator: pgun150gev_2electrons

Abstract

Particle gun for detector studies: A particle gun for two elecrons separated by PI in phi. Production at (x,y,z,t)=(0,0,0,0). Uniform distribution in energy from 0 to 150 GeV for each particle. Uniform distribution in Eta between -5 and 5. Uniform distribution in Phi between -PI and PI."

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:
Double particles; PARTICLE GUN; double particles; Monte Carlo; simulations; particle physics; high energy physics
OSTI Identifier:
1575582
DOI:
10.34664/1575582

Citation Formats

Chekanov, S. 150 GeV pgun collisions, Double particles type, PARTICLE GUN generator: pgun150gev_2electrons. United States: N. p., 2015. Web. doi:10.34664/1575582.
Chekanov, S. 150 GeV pgun collisions, Double particles type, PARTICLE GUN generator: pgun150gev_2electrons. United States. doi:10.34664/1575582.
Chekanov, S. 2015. "150 GeV pgun collisions, Double particles type, PARTICLE GUN generator: pgun150gev_2electrons". United States. doi:10.34664/1575582. https://www.osti.gov/servlets/purl/1575582. Pub date:Wed Nov 25 00:00:00 EST 2015
@article{osti_1575582,
title = {150 GeV pgun collisions, Double particles type, PARTICLE GUN generator: pgun150gev_2electrons},
author = {Chekanov, S.},
abstractNote = {Particle gun for detector studies: A particle gun for two elecrons separated by PI in phi. Production at (x,y,z,t)=(0,0,0,0). Uniform distribution in energy from 0 to 150 GeV for each particle. Uniform distribution in Eta between -5 and 5. Uniform distribution in Phi between -PI and PI."},
doi = {10.34664/1575582},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2015},
month = {11}
}

Dataset:

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