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Title: Design, construction and commissioning of the proximity cryogenics systems serving two large-scale prototypes of the future DUNE neutrino detector

Abstract

In the context of the Neutrino Platform, CERN has designed, constructed, and commissioned the proximity cryogenics systems that serve two CERN based large-scale prototypes of future neutrino detectors. Each of these prototypes features a high voltage time projection chamber placed inside a membrane cryostat being submerged in 600m3 of liquid argon at about 1.0 bar. A copper and molecular sieve based cryogenic purification system has to ensure that the argon in the cryostat has a contamination level below 100 ppt oxygen equivalent. The two proximity cryogenics systems provide the purging, cool-down, filling, normal operation and emptying modes for each cryostat. This paper reports on the design, construction and commissioning of the ProtoDUNE proximity cryogenics facilities.

Authors:
 [1]; ORCiD logo [1];  [1];  [1];  [2]
  1. European Organization for Nuclear Research (CERN), Geneva (Switzerland)
  2. Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
Publication Date:
Research Org.:
Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
Sponsoring Org.:
USDOE Office of Science (SC), High Energy Physics (HEP) (SC-25)
OSTI Identifier:
1510806
Report Number(s):
FERMILAB-CONF-19-187-LBNF
Journal ID: ISSN 1757-899X; 1731733
Grant/Contract Number:  
AC02-07CH11359
Resource Type:
Accepted Manuscript
Journal Name:
IOP Conference Series. Materials Science and Engineering (Online)
Additional Journal Information:
Journal Name: IOP Conference Series. Materials Science and Engineering (Online); Journal Volume: 502; Journal Issue: 1; Journal ID: ISSN 1757-899X
Publisher:
IOP Publishing
Country of Publication:
United States
Language:
English
Subject:
43 PARTICLE ACCELERATORS; 46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY

Citation Formats

Creus, Joaquim, Bremer, J., Chalifour, M., Fabre, C., and Montanari, D.. Design, construction and commissioning of the proximity cryogenics systems serving two large-scale prototypes of the future DUNE neutrino detector. United States: N. p., 2019. Web. doi:10.1088/1757-899X/502/1/012110.
Creus, Joaquim, Bremer, J., Chalifour, M., Fabre, C., & Montanari, D.. Design, construction and commissioning of the proximity cryogenics systems serving two large-scale prototypes of the future DUNE neutrino detector. United States. doi:10.1088/1757-899X/502/1/012110.
Creus, Joaquim, Bremer, J., Chalifour, M., Fabre, C., and Montanari, D.. Mon . "Design, construction and commissioning of the proximity cryogenics systems serving two large-scale prototypes of the future DUNE neutrino detector". United States. doi:10.1088/1757-899X/502/1/012110. https://www.osti.gov/servlets/purl/1510806.
@article{osti_1510806,
title = {Design, construction and commissioning of the proximity cryogenics systems serving two large-scale prototypes of the future DUNE neutrino detector},
author = {Creus, Joaquim and Bremer, J. and Chalifour, M. and Fabre, C. and Montanari, D.},
abstractNote = {In the context of the Neutrino Platform, CERN has designed, constructed, and commissioned the proximity cryogenics systems that serve two CERN based large-scale prototypes of future neutrino detectors. Each of these prototypes features a high voltage time projection chamber placed inside a membrane cryostat being submerged in 600m3 of liquid argon at about 1.0 bar. A copper and molecular sieve based cryogenic purification system has to ensure that the argon in the cryostat has a contamination level below 100 ppt oxygen equivalent. The two proximity cryogenics systems provide the purging, cool-down, filling, normal operation and emptying modes for each cryostat. This paper reports on the design, construction and commissioning of the ProtoDUNE proximity cryogenics facilities.},
doi = {10.1088/1757-899X/502/1/012110},
journal = {IOP Conference Series. Materials Science and Engineering (Online)},
number = 1,
volume = 502,
place = {United States},
year = {2019},
month = {4}
}

Journal Article:
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