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Title: 33 TeV pgun collisions, Single particles type, PARTICLE GUN generator: pgun_neutron_eta35

Abstract

Single particle gun for detector studies: A particle gun with single neutrons. One neutron per event. 5000 events per file, 50 files per sample. Production at (x,y,z,t)=(0,0,0,0). N and antiN are alternated. Momentum is 1, 2, 4, 8, 16, 32, .. 2^n (n=0,15). The energy is included to the file name. Uniform distribution in Phi. Uniform distribution in the Eta (pseudorapidity) range [-3.5, 3.5].

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:
Single particles; PARTICLE GUN; single particle; Monte Carlo; simulations; particle physics; high energy physics
OSTI Identifier:
1575619
DOI:
10.34664/1575619

Citation Formats

Chekanov, S. 33 TeV pgun collisions, Single particles type, PARTICLE GUN generator: pgun_neutron_eta35. United States: N. p., 2016. Web. doi:10.34664/1575619.
Chekanov, S. 33 TeV pgun collisions, Single particles type, PARTICLE GUN generator: pgun_neutron_eta35. United States. doi:10.34664/1575619.
Chekanov, S. 2016. "33 TeV pgun collisions, Single particles type, PARTICLE GUN generator: pgun_neutron_eta35". United States. doi:10.34664/1575619. https://www.osti.gov/servlets/purl/1575619. Pub date:Thu Apr 21 00:00:00 EDT 2016
@article{osti_1575619,
title = {33 TeV pgun collisions, Single particles type, PARTICLE GUN generator: pgun_neutron_eta35},
author = {Chekanov, S.},
abstractNote = {Single particle gun for detector studies: A particle gun with single neutrons. One neutron per event. 5000 events per file, 50 files per sample. Production at (x,y,z,t)=(0,0,0,0). N and antiN are alternated. Momentum is 1, 2, 4, 8, 16, 32, .. 2^n (n=0,15). The energy is included to the file name. Uniform distribution in Phi. Uniform distribution in the Eta (pseudorapidity) range [-3.5, 3.5].},
doi = {10.34664/1575619},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2016},
month = {4}
}

Dataset:

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