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ORIGINAL RESEARCH article
Front. Detect. Sci. Technol.
Sec. Detector Physics
Volume 2 - 2024 |
doi: 10.3389/fdest.2024.1480975
This article is part of the Research Topic Fundamentals of luminescence and electroluminescence in particle detection technologies relying on noble-gas media View all articles
A Review of NEST Models for Liquid Xenon & Exhaustive Comparison to Other Approaches
Provisionally accepted- 1 University at Albany, Albany, United States
- 2 Sandia National Laboratories (DOE), Livermore, California, United States
- 3 University of California, Davis, Davis, California, United States
- 4 University of New Mexico, Albuquerque, New Mexico, United States
- 5 Rensselaer Polytechnic Institute, Troy, New York, United States
- 6 Lawrence Livermore National Laboratory (DOE), Livermore, California, United States
- 7 Deepgram, Mountain View, CA, United States
- 8 Rice University, Houston, Texas, United States
- 9 University of California, San Diego, La Jolla, California, United States
- 10 University of California, Los Angeles, Los Angeles, California, United States
- 11 National Research Nuclear University MEPhI, Moscow, Moscow Oblast, Russia
- 12 Kurchatov Institute, Moscow, Moscow Oblast, Russia
- 13 University of California, Berkeley, Berkeley, California, United States
- 14 Berkeley Lab (DOE), Berkeley, California, United States
- 15 Colorado State University, Fort Collins, Colorado, United States
- 16 University of Zurich, Zürich, Zürich, Switzerland
- 17 University of Michigan, Ann Arbor, Michigan, United States
- 18 University of California, Riverside, Riverside, California, United States
This paper will discuss the microphysical simulation of interactions in liquid xenon, the active detector medium in many leading rare-event searches for new physics, and describe experimental observables useful to understanding detector performance. The scintillation and ionization yield distributions for signal and background will be presented using the Noble Element Simulation Technique (NEST), which is a toolkit based on experimental data and simple, empirical formulae, which mimic previous microphysics modeling, but are guided by data. The NEST models for light and charge production as a function of the particle type, energy, and electric field will be reviewed, as well as models for energy resolution and final pulse areas. NEST will be compared to other models or sets of models, and vetted against real data, with several specific examples pulled from XENON, ZEPLIN, LUX, LZ, PandaX, and table-top experiments used for calibrations.
Keywords: WIMP dark matter direct detection, Liquid xenon, simulations/models, WIMP dark matter direct search, Liquid xenon (LXe), Simulations models
Received: 14 Aug 2024; Accepted: 04 Dec 2024.
Copyright: © 2024 Szydagis, Balajthy, Block, Brodsky, Brown, Cutter, Farrell, Huang, Kamaha, Kozlova, Liebenthal, McKinsey, McMichael, McMonigle, Mooney, Mueller, Ni, Rischbieter, Trengove, Tripathi, Tunnell, Velan, Westerdale, Wyman, Zhao and Zhong. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Matthew Szydagis, University at Albany, Albany, United States
Jon Balajthy, Sandia National Laboratories (DOE), Livermore, CA 94551-0969, California, United States
Grant A Block, University of New Mexico, Albuquerque, 87131, New Mexico, United States
Jason P Brodsky, Lawrence Livermore National Laboratory (DOE), Livermore, 94550, California, United States
Ethan Brown, Rensselaer Polytechnic Institute, Troy, 12180-3590, New York, United States
Jacob E Cutter, Deepgram, Mountain View, CA, United States
Sophia J Farrell, Rice University, Houston, 77005, Texas, United States
Junying Huang, University of California, San Diego, La Jolla, 92093, California, United States
Alvine C Kamaha, University of California, Los Angeles, Los Angeles, 90095, California, United States
Ekaterina S Kozlova, National Research Nuclear University MEPhI, Moscow, 115409, Moscow Oblast, Russia
Chloe S Liebenthal, Rice University, Houston, 77005, Texas, United States
Daniel N McKinsey, University of California, Berkeley, Berkeley, 94720, California, United States
Kirsten McMichael, Rensselaer Polytechnic Institute, Troy, 12180-3590, New York, United States
Ryan McMonigle, University at Albany, Albany, United States
Michael Mooney, Colorado State University, Fort Collins, 80523, Colorado, United States
Justin Mueller, Colorado State University, Fort Collins, 80523, Colorado, United States
Kaixuan Ni, University of California, San Diego, La Jolla, 92093, California, United States
Gregory R C Rischbieter, University of Zurich, Zürich, CH-8006, Zürich, Switzerland
Kian Trengove, University of California, Los Angeles, Los Angeles, 90095, California, United States
Mani Tripathi, University of California, Davis, Davis, 95616, California, United States
Shawn Westerdale, University of California, Riverside, Riverside, 92521, California, United States
Madison D Wyman, University at Albany, Albany, United States
Zehong Zhao, University of California, San Diego, La Jolla, 92093, California, United States
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