Snowmass Instrumentation Frontier IF08 Topical Group Report: Noble Element Detectors Article Swipe
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2208.11017
Particle detectors making use of noble elements in gaseous, liquid, or solid phases are prevalent in neutrino and dark matter experiments and are also used to a lesser extent in collider-based particle physics experiments. These experiments take advantage of both the very large, ultra-pure target volumes achievable and the multiple observable signal pathways possible in noble-element based particle detectors. As these experiments seek to increase their sensitivity, novel and improved technologies will be needed to enhance the precision of their measurements and to broaden the reach of their physics programs. The areas of R&D in noble element instrumentation that have been identified by the HEP community in the Snowmass process are highlighted by five key messages: IF08-1) Enhance and combine existing modalities (scintillation and electron drift) to increase signal-to-noise and reconstruction fidelity; IF08-2) Develop new modalities for signal detection in noble elements, including methods based on ion drift, metastable fluids, solid-phase detectors and dissolved targets. Collaborative and blue-sky R&D should also be supported to enable advances in this area; IF08-3) Improve the understanding of detector microphysics and calibrate detector response in new signal regimes; IF08-4) Address challenges in scaling technologies, including material purification, background mitigation, large-area readout, and magnetization; and IF08-5) Train the next generation of researchers, using fast-turnaround instrumentation projects to provide the design-through-result training no longer possible in very-large-scale experiments. This topical group report identifies and documents recent developments and future needs for noble element detector technologies. In addition, we highlight the opportunity that this area of research provides for continued training of the next generation of scientists.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2208.11017
- https://arxiv.org/pdf/2208.11017
- OA Status
- green
- Cited By
- 1
- References
- 95
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4293582691
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4293582691Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.2208.11017Digital Object Identifier
- Title
-
Snowmass Instrumentation Frontier IF08 Topical Group Report: Noble Element DetectorsWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-08-23Full publication date if available
- Authors
-
C. E. Dahl, R. Guénette, Jennifer L. Raaf, D. S. Akerib, J. Asaadi, D. Caratelli, E. Church, M. Del Tutto, A. Fava, R. J. Gaitskell, G. K. Giovanetti, G. Giroux, D. González-Díaz, E. Gramellini, S. J. Haselschwardt, C. M. Jackson, B. J. P. Jones, A. Kopec, S. Kravitz, W. H. Lippincott, J. Liu, C. J. Martoff, A. Mastbaum, C. Montanari, M. Mooney, K. Ni, L. Pagani, O. Palamara, L. Pandola, R. B. Patterson, Sergey Pereverzev, X. Qian, C. Savarese, P. Sorensen, C. Stanford, A. Szelc, M. Szydagis, S. Westerdale, J. Xu, J. Zennamo, J. Zettlemoyer, C. ZhangList of authors in order
- Landing page
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https://arxiv.org/pdf/2208.11017Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
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https://arxiv.org/pdf/2208.11017Direct OA link when available
- Concepts
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Detector, Instrumentation (computer programming), Physics, Neutrino, Scintillation, SIGNAL (programming language), Computer science, Optics, Particle physics, Operating system, Programming languageTop concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
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2025: 1Per-year citation counts (last 5 years)
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95Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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