☆ 4.6 Article

Monitoring subsurface CO2 emplacement and security of storage using muon tomography

INTERNATIONAL JOURNAL OF GREENHOUSE GAS CONTROL (2012)

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INTERNATIONAL JOURNAL OF GREENHOUSE GAS CONTROL
Volume 11, Issue -, Pages 21-24

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ELSEVIER SCI LTD
DOI: 10.1016/j.ijggc.2012.07.023

Keywords

Carbon capture; Carbon storage monitoring; Muon tomography; Cosmic-ray muons

Categories

Green & Sustainable Science & Technology Energy & Fuels Engineering, Environmental Engineering, Chemical

Funding

  1. University of Sheffield
  2. EPSRC through the E-Futures Doctoral Training Centre at the University of Sheffield
  3. National Aeronautics and Space Administration (NASA)
  4. STFC [ST/K001841/1, ST/K001337/1] Funding Source: UKRI
  5. Science and Technology Facilities Council [ST/K001841/1, ST/K001337/1, ST/K001337/1 DMUK] Funding Source: researchfish

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Storage of supercritical carbon dioxide in the deep subsurface is arguably the most viable industrial scale process available to stop increase of atmospheric CO2. Today, monitoring CO2 emplacement and possible leakage is a major challenge; methods are episodic and expensive. Cosmic-ray muon tomography has been used to investigate hidden archaeological and geological features. We developed a model to test if this approach would work for monitoring CO2 storage and show that muon detection is a viable method. Our results indicate that we could detect as little as 0.4% change in the mean reservoir density at about 1 km depth (equivalent to 7% of pore volume). Hence, cosmic ray muon detection could monitor migration of injected CO2 continuously and inexpensively and help rapid introduction of this essential technology. (c) 2012 Elsevier Ltd. All rights reserved.

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Article Physics, Nuclear

New high-sensitivity searches for neutrons converting into antineutrons and/or sterile neutrons at the HIBEAM/NNBAR experiment at the European Spallation Source

A. Addazi, K. Anderson, S. Ansell, K. S. Babu, J. L. Barrow, D. Baxter, P. M. Bentley, Z. Berezhiani, R. Bevilacqua, R. Biondi, C. Bohm, G. Brooijmans, L. J. Broussard, J. Cedercall, C. Crawford, P. S. B. Dev, D. D. DiJulio, A. D. Dolgov, K. Dunne, P. Fierlinger, M. R. Fitzsimmons, A. Fomin, M. J. Frost, S. Gardiner, S. Gardner, A. Galindo-Uribarri, P. Geltenbort, S. Girmohanta, P. Golubev, E. Golubeva, G. L. Greene, T. Greenshaw, V Gudkov, R. Hall-Wilton, L. Heilbronn, J. Herrero-Garcia, A. Holley, G. Ichikawa, T. M. Ito, E. Iverson, T. Johansson, L. Jonsson, Y-J Jwa, Y. Kamyshkov, K. Kanaki, E. Kearns, Z. Kokai, B. Kerbikov, M. Kitaguchi, T. Kittelmann, E. Klinkby, A. Kobakhidze, L. W. Koerner, B. Kopeliovich, A. Kozela, V Kudryavtsev, A. Kupsc, Y. T. Lee, M. Lindroos, J. Makkinje, J. Marquez, B. Meirose, T. M. Miller, D. Milstead, R. N. Mohapatra, T. Morishima, G. Muhrer, H. P. Mumm, K. Nagamoto, A. Nepomuceno, F. Nesti, V. V. Nesvizhevsky, T. Nilsson, A. Oskarsson, E. Paryev, R. W. Pattie, S. Penttil, H. Perrey, Y. N. Pokotilovski, I Potashnikovav, K. Ramic, C. Redding, J-M Richard, D. Ries, E. Rinaldi, N. Rizzi, N. Rossi, A. Ruggles, B. Rybolt, V Santoro, U. Sarkar, A. Saunders, G. Senjanovic, A. P. Serebrov, H. M. Shimizu, R. Shrock, S. Silverstein, D. Silvermyr, W. M. Snow, A. Takibayev, I Tkachev, L. Townsend, A. Tureanu, L. Varriano, A. Vainshtein, J. de Vries, R. Wagner, R. Woracek, Y. Yamagata, S. Yiu, A. R. Young, L. Zanini, Z. Zhang, O. Zimmer

Summary: The HIBEAM/NNBAR program is a proposed two-stage experiment at the European Spallation Source to search for baryon number violation, aiming to discover and characterize mixing in the neutron, antineutron, and sterile neutron sectors. This experiment addresses open questions related to baryogenesis, dark matter, and new physics scales, and has the potential to significantly increase sensitivity in neutron conversion probability tests.

JOURNAL OF PHYSICS G-NUCLEAR AND PARTICLE PHYSICS (2021)

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Article Geosciences, Multidisciplinary

Simulated Annealing for volcano muography

A. Vesga-Ramirez, J. D. Sanabria-Gomez, D. Sierra-Porta, L. Arana-Salinas, H. Asorey, V. A. Kudryavtsev, R. Calderon-Ardila, L. A. Nunez

Summary: Muography, an emerging technology using high-energy atmospheric muons for volcanic imaging, successfully reconstructed density differences inside Cerro Machin volcano using a geophysical inversion methodology. The study combined a semi-empirical muon flux model with Metropolis-Simulated-Annealing algorithm, achieving a remarkable density contrast between volcanic duct, encasing rock, and fumaroles area.

JOURNAL OF SOUTH AMERICAN EARTH SCIENCES (2021)

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Article Geosciences, Multidisciplinary

The principles of helium exploration

Diveena Danabalan, Jon G. Gluyas, Colin G. Macpherson, Thomas H. Abraham-James, Josh J. Bluett, Peter H. Barry, Chris J. Ballentine

Summary: This study explores the source and migration properties of commercial helium systems and how to identify helium accumulations in areas where petroleum exploration is not feasible. By using the Rukwa Basin as a case study, the research demonstrates how the basic petroleum exploration strategy can be modified to identify potential helium plays. The role of nitrogen in the migration and accumulation of helium is also examined.

PETROLEUM GEOSCIENCE (2022)

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Article Green & Sustainable Science & Technology

Waste heat mapping: A UK study

Max D. A. Albert, Katherine O. Bennett, Charlotte A. Adams, Jon G. Gluyas

Summary: This study examines the distribution, grade, and seasonal variation of waste-heat from industrial sectors in the UK in 2018. It explores opportunities to offset emissions through waste-heat recovery schemes and emphasizes the importance of reducing waste heat until fully decarbonized industrial practices are implemented. The findings reveal that waste heat is concentrated in densely populated areas and areas with a strong industrial base, with a total estimated waste heat of nearly 391,000 GWh per year.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2022)

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Article Geosciences, Multidisciplinary

Evolution of nC16H34-water-mineral systems in thermal capsules and geological implications for deeply-buried hydrocarbon reservoirs

Guang-Hui Yuan, Zi-Hao Jin, Ying-Chang Cao, Ke-Yu Liu, Jon Gluyas, Yan-Zhong Wang, Ke-Lai Xi

Summary: This study investigates the evolution and reaction pathways of organic-inorganic interactions in different hot systems. The results show that water and different minerals have different effects on the degradation of hydrocarbons, and the presence of different waters also affects the impact of minerals on hydrocarbon degradation. The pathways and rates of hydrocarbon evolution in different hot systems are crucial for the study and prediction of deeply buried hydrocarbon reservoirs.

GEOSCIENCE FRONTIERS (2022)

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Article Multidisciplinary Sciences

Primary N2-He gas field formation in intracratonic sedimentary basins

Anran Cheng, Barbara Sherwood Lollar, Jon G. Gluyas, Chris J. Ballentine

Summary: Helium, nitrogen and hydrogen are continuously generated in the deep continental crust, and nitrogen can reach sufficient concentrations at the base of sedimentary basins to form a gas phase, which also predicts the co-occurrence of hydrogen. This gas phase formation mechanism provides insights into assessing the resource potential of helium and hydrogen in intracontinental sedimentary basins worldwide.

NATURE (2023)

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Article Energy & Fuels

Differential precipitation mechanism of cement and its impact on reservoir quality in tight sandstone: A case study from the Jurassic Shaximiao formation in the central Sichuan Basin, SW China

Dongping Tan, Long Luo, Linke Song, Fei Liu, Jinxi Wang, Jon Gluyas, Huanhuan Zhou, Jia Wang, Chaobin Zhu, Songyu Mo, Xin Yu, Xianfeng Tan

Summary: The permeability heterogeneity of tight sandstone reservoir is primarily influenced by the types and quantities of various cements and dissolution processes that occur during burial. This study used multiple analytical techniques to investigate the genetic mechanisms and impact of differential cement combinations in the Shaximiao Formation tight sandstone in the Central Sichuan Basin, China. The findings emphasize the importance of sedimentary facies and subsequent diagenetic environment evolution in determining the different cement combinations and resulting reservoir quality.

GEOENERGY SCIENCE AND ENGINEERING (2023)

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Article Computer Science, Artificial Intelligence

Cosmic Ray Background Removal With Deep Neural Networks in SBND

R. Acciarri, C. Adams, C. Andreopoulos, J. Asaadi, M. Babicz, C. Backhouse, W. Badgett, L. Bagby, D. Barker, V Basque, M. C. Q. Bazetto, M. Betancourt, A. Bhanderi, A. Bhat, C. Bonifazi, D. Brailsford, A. G. Brandt, T. Brooks, M. F. Carneiro, Y. Chen, H. Chen, G. Chisnall, J. Crespo-Anadon, E. Cristaldo, C. Cuesta, I. L. de Icaza Astiz, A. De Roeck, G. de Sa Pereira, M. Del Tutto, V Di Benedetto, A. Ereditato, J. J. Evans, A. C. Ezeribe, R. S. Fitzpatrick, B. T. Fleming, W. Foreman, D. Franco, I Furic, A. P. Furmanski, S. Gao, D. Garcia-Gamez, H. Frandini, G. Ge, I Gil-Botella, S. Gollapinni, O. Goodwin, P. Green, W. C. Griffith, R. Guenette, P. Guzowski, T. Ham, J. Henzerling, A. Holin, B. Howard, R. S. Jones, D. Kalra, G. Karagiorgi, L. Kashur, W. Ketchum, M. J. Kim, V. A. Kudryavtsev, J. Larkin, H. Lay, I Lepetic, B. R. Littlejohn, W. C. Louis, A. A. Machado, M. Malek, D. Mardsen, C. Mariani, F. Marinho, A. Mastbaum, K. Mavrokoridis, N. McConkey, V Meddage, D. P. Mendez, T. Mettler, K. Mistry, A. Mogan, J. Molina, M. Mooney, L. Mora, C. A. Moura, J. Mousseau, A. Navrer-Agasson, F. J. Nicolas-Arnaldos, J. A. Nowak, O. Palamara, V Pandey, J. Pater, L. Paulucci, V. L. Pimentel, F. Psihas, G. Putnam, X. Qian, E. Raguzin, H. Ray, M. Reggiani-Guzzo, D. Rivera, M. Roda, M. Ross-Lonergan, G. Scanavini, A. Scarff, D. W. Schmitz, A. Schukraft, E. Segreto, M. Soares Nunes, M. Soderberg, S. Soldner-Rembold, J. Spitz, N. J. C. Spooner, M. Stancari, G. Stenico, A. Szelc, W. Tang, J. Tena Vidal, D. Torretta, M. Toups, C. Touramanis, M. Tripathi, S. Tufanli, E. Tyley, G. A. Valdiviesso, E. Worcester, M. Worcester, G. Yarbrough, J. Yu, B. Zamorano, J. Zennamo, A. Zglam

Summary: In liquid argon time projection chambers exposed to neutrino beams and operating on or near the surface, cosmic particles pose a challenge as they dominate the data, but deep learning techniques applied to detector images can effectively distinguish cosmic particles from neutrino interactions.

FRONTIERS IN ARTIFICIAL INTELLIGENCE (2021)

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Article Physics, Nuclear

Projected sensitivity of the LUX-ZEPLIN experiment to the two-neutrino and neutrinoless double β decays of 134Xe

D. S. Akerib, A. K. Al Musalhi, S. K. Alsum, C. S. Amarasinghe, A. Ames, T. J. Anderson, N. Angelides, H. M. Araujo, J. E. Armstrong, M. Arthurs, X. Bai, J. Balajthy, S. Balashov, J. Bang, J. W. Bargemann, D. Bauer, A. Baxter, P. Beltrame, E. P. Bernard, A. Bernstein, A. Bhatti, A. Biekert, T. P. Biesiadzinski, H. J. Birch, G. M. Blockinger, E. Bodnia, B. Boxer, C. A. J. Brew, P. Bras, S. Burdin, J. K. Busenitz, M. Buuck, R. Cabrita, M. C. Carmona-Benitez, M. Cascella, C. Chan, N. I. Chott, A. Cole, M. V. Converse, A. Cottle, G. Cox, O. Creaner, J. E. Cutter, C. E. Dahl, L. de Viveiros, J. E. Y. Dobson, E. Druszkiewicz, S. R. Eriksen, A. Fan, S. Fayer, N. M. Fearon, S. Fiorucci, H. Flaecher, E. D. Fraser, T. Fruth, R. J. Gaitskell, J. Genovesi, C. Ghag, E. Gibson, S. Gokhale, M. G. D. van der Grinten, C. B. Gwilliam, C. R. Hall, S. J. Haselschwardt, S. A. Hertel, M. Horn, D. Q. Huang, M. C. I. Gnarra, O. Jahangir, R. S. James, W. Ji, J. Johnson, A. C. Kaboth, A. C. Kamaha, K. Kamdin, K. Kazkaz, D. Khaitan, A. Khazov, I. Khurana, D. Kodroff, L. Korley, E. V. Korolkova, H. Kraus, S. Kravitz, L. Kreczko, B. Krikler, V. A. Kudryavtsev, E. A. Leason, J. Lee, D. S. Leonard, K. T. Lesko, C. Levy, J. Liao, J. Lin, A. Lindote, R. Linehan, W. H. Lippincott, X. Liu, M. I. Lopes, E. Lopez Asamar, B. Lopez Paredes, W. Lorenzon, S. Luitz, P. A. Majewski, A. Manalaysay, L. Manenti, R. L. Mannino, N. Marangou, M. E. McCarthy, D. N. McKinsey, J. McLaughlin, E. H. Miller, E. Mizrachi, A. Monte, M. E. Monzani, J. A. Morad, J. D. Morales Mendoza, E. Morrison, B. J. Mount, A. St. J. Murphy, D. Naim, A. Naylor, C. Nedlik, H. N. Nelson, F. Neves, J. A. Nikoleyczik, A. Nilima, I. Olcina, K. C. Oliver-Mallory, S. Pal, K. J. Palladino, J. Palmer, S. Patton, N. Parveen, E. K. Pease, B. Penning, G. Pereira, A. Piepke, Y. Qie, J. Reichenbacher, C. A. Rhyne, A. Richards, Q. Riffard, G. R. C. Rischbieter, R. Rosero, P. Rossiter, D. Santone, A. B. M. R. Sazzad, R. W. Schnee, P. R. Scovell, S. Shaw, T. A. Shutt, J. J. Silk, C. Silva, R. Smith, M. Solmaz, V. N. Solovov, P. Sorensen, J. Soria, I. Stancu, A. Stevens, K. Stifter, B. Suerfu, T. J. Sumner, N. Swanson, M. Szydagis, W. C. Taylor, R. Taylor, D. J. Temples, P. A. Terman, D. R. Tiedt, M. Timalsina, W. H. To, D. R. Tovey, M. Tripathi, D. R. Tronstad, W. Turner, U. Utku, A. Vaitkus, B. Wang, J. J. Wang, W. Wang, J. R. Watson, R. C. Webb, R. G. White, T. J. Whitis, M. Williams, F. L. H. Wolfs, D. Woodward, C. J. Wright, X. Xiang, J. Xu, M. Yeh, P. Zarzhitsky

Summary: The LUX-ZEPLIN (LZ) experiment is projected to have high sensitivity in detecting the two-neutrino and neutrinoless double beta decay of Xe-134, with predicted exclusion values of half-lives up to 1.7 x 10(24) years and 7.3 x 10(24) years, respectively.

PHYSICAL REVIEW C (2021)

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Article Astronomy & Astrophysics

Projected sensitivities of the LUX-ZEPLIN experiment to new physics via low-energy electron recoils

D. S. Akerib, A. K. Al Musalhi, S. K. Alsum, C. S. Amarasinghe, A. Ames, T. J. Anderson, N. Angelides, H. M. Araujo, J. E. Armstrong, M. Arthurs, X. Bai, J. Balajthy, S. Balashov, J. Bang, J. W. Bargemann, D. Bauer, A. Baxter, P. Beltrame, E. P. Bernard, A. Bernstein, A. Bhatti, A. Biekert, T. P. Biesiadzinski, H. J. Birch, G. M. Blockinger, E. Bodnia, B. Boxer, C. A. J. Brew, P. Bras, S. Burdin, J. K. Busenitz, M. Buuck, R. Cabrita, M. C. Carmona-Benitez, M. Cascella, C. Chan, N. Chott, A. Cole, M. Converse, A. Cottle, G. Cox, O. Creaner, J. E. Cutter, C. E. Dahl, L. de Viveiros, J. E. Y. Dobson, E. Druszkiewicz, S. R. Eriksen, A. Fan, S. Fayer, N. M. Fearon, S. Fiorucci, H. Flaecher, E. D. Fraser, T. Fruth, R. J. Gaitskell, J. Genovesi, C. Ghag, E. Gibson, S. Gokhale, M. G. D. van der Grinten, C. B. Gwilliam, C. R. Hall, C. A. Hardy, S. J. Haselschwardt, S. A. Hertel, M. Horn, D. Q. Huang, C. M. Ignarra, O. Jahangir, R. S. James, W. Ji, J. Johnson, A. C. Kaboth, A. C. Kamaha, K. Kamdin, K. Kazkaz, D. Khaitan, A. Khazov, I Khurana, D. Kodroff, L. Korley, E. Korolkova, H. Kraus, S. Kravitz, L. Kreczko, B. Krikler, V. A. Kudryavtsev, E. A. Leason, J. Lee, D. S. Leonard, K. T. Lesko, C. Levy, J. Li, J. Liao, A. Lindote, R. Linehan, W. H. Lippincott, X. Liu, M. Lopes, E. Lopez Asamar, B. Lopez Paredes, W. Lorenzon, S. Luitz, P. A. Majewski, A. Manalaysay, L. Manenti, R. L. Mannino, N. Marangou, M. E. McCarthy, D. N. McKinsey, J. McLaughlin, E. H. Miller, E. Mizrachi, A. Monte, M. E. Monzani, J. A. Morad, J. D. Morales Mendoza, E. Morrison, B. J. Mount, A. St J. Murphy, D. Naim, A. Naylor, C. Nedlik, H. N. Nelson, F. Neves, J. A. Nikoleyczik, A. Nilima, A. Nguyen, I Olcina, K. C. Oliver-Mallory, S. Pal, K. J. Palladino, J. Palmer, S. Patton, N. Parveen, E. K. Pease, B. Penning, G. Pereira, A. Piepke, Y. Qie, J. Reichenbacher, C. A. Rhyne, A. Richards, Q. Riffard, G. R. C. Rischbieter, R. Rosero, P. Rossiter, D. Santone, A. B. M. R. Sazzad, R. W. Schnee, P. R. Scovell, S. Shaw, T. A. Shutt, J. J. Silk, C. Silva, R. Smith, M. Solmaz, V. N. Solovov, P. Sorensen, J. Soria, I Stancu, A. Stevens, K. Stifter, B. Suerfu, T. J. Sumner, N. Swanson, M. Szydagis, W. C. Taylor, R. Taylor, D. J. Temples, P. A. Terman, D. R. Tiedt, M. Timalsina, W. H. To, D. R. Tovey, M. Tripathi, D. R. Tronstad, W. Turner, U. Utku, A. Vaitkus, B. Wang, J. J. Wang, W. Wang, J. R. Watson, R. C. Webb, R. G. White, T. J. Whitis, M. Williams, F. L. H. Wolfs, D. Woodward, C. J. Wright, X. Xiang, J. Xu, M. Yeh, P. Zarzhitsky

Summary: LUX-ZEPLIN, a dark matter detector, is expected to have world-leading sensitivity to various low-energy signals due to its large exposure and low background interference rate.

PHYSICAL REVIEW D (2021)

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Article Astronomy & Astrophysics

Constraints on effective field theory couplings using 311.2 days of LUX data

D. S. Akerib, S. Alsum, H. M. Araujo, X. Bai, J. Balajthy, J. Bang, A. Baxter, E. P. Bernard, A. Bernstein, T. P. Biesiadzinski, E. M. Boulton, B. Boxer, P. Bras, S. Burdin, D. Byram, M. C. Carmona-Benitez, C. Chan, J. E. Cutter, L. de Viveiros, E. Druszkiewicz, A. Fan, S. Fiorucci, R. J. Gaitskell, C. Ghag, M. G. D. Gilchriese, C. Gwilliam, C. R. Hall, S. J. Haselschwardt, S. A. Hertel, D. P. Hogan, M. Horn, D. Q. Huang, C. M. Ignarra, R. G. Jacobsen, O. Jahangir, W. Ji, K. Kamdin, K. Kazkaz, D. Khaitan, E. Korolkova, S. Kravitz, V. A. Kudryavtsev, E. Leason, B. G. Lenardo, K. T. Lesko, J. Liao, J. Lin, A. Lindote, M. Lopes, A. Manalaysay, R. L. Mannino, N. Marangou, D. N. McKinsey, D-M Mei, J. A. Morad, A. St J. Murphy, A. Naylor, C. Nehrkorn, H. N. Nelson, F. Neves, A. Nilima, K. C. Oliver-Mallory, K. J. Palladino, C. Rhyne, Q. Riffard, G. R. C. Rischbieter, P. Rossiter, S. Shaw, T. A. Shutt, C. Silva, M. Solmaz, V. N. Solovov, P. Sorensen, T. J. Sumner, N. Swanson, M. Szydagis, D. J. Taylor, R. Taylor, W. C. Taylor, B. P. Tennyson, P. A. Terman, D. R. Tiedt, W. H. To, L. Tvrznikova, U. Utku, A. Vacheret, A. Vaitkus, V. Velan, R. C. Webb, J. T. White, T. J. Whitis, M. S. Witherell, F. L. H. Wolfs, D. Woodward, X. Xiang, J. Xu, C. Zhang

Summary: In this study, a nonrelativistic effective field theory (EFT) WIMP search analysis was conducted using LUX data, resulting in exclusion of some WIMP-nucleon couplings and constraints on EFT WIMP interactions. Competitive and world-leading exclusion limits were also achieved in terms of several interaction operators for inelastic EFT WIMP-isoscalar recoils.

PHYSICAL REVIEW D (2021)

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Article Astronomy & Astrophysics

Improving sensitivity to low-mass dark matter in LUX using a novel electrode background mitigation technique

D. S. Akerib, S. Alsum, H. M. Araujo, X. Bai, J. Balajthy, J. Bang, A. Baxter, E. P. Bernard, A. Bernstein, T. P. Biesiadzinski, E. M. Boulton, B. Boxer, P. Bras, S. Burdin, D. Byram, M. C. Carmona-Benitez, C. Chan, J. E. Cutter, L. de Viveiros, E. Druszkiewicz, A. Fan, S. Fiorucci, R. J. Gaitskell, C. Ghag, M. G. D. Gilchriese, C. Gwilliam, C. R. Hall, S. J. Haselschwardt, S. A. Hertel, D. P. Hogan, M. Horn, D. Q. Huang, C. M. Ignarra, R. G. Jacobsen, O. Jahangir, W. Ji, K. Kamdin, K. Kazkaz, D. Khaitan, E. Korolkova, S. Kravitz, V. A. Kudryavtsev, E. Leason, B. G. Lenardo, K. T. Lesko, J. Liao, J. Lin, A. Lindote, M. Lopes, A. Manalaysay, R. L. Mannino, N. Marangou, D. N. McKinsey, D-M Mei, J. A. Morad, A. St J. Murphy, A. Naylor, C. Nehrkorn, H. N. Nelson, F. Neves, A. Nilima, K. C. Oliver-Mallory, K. J. Palladino, C. Rhyne, Q. Riffard, G. R. C. Rischbieter, P. Rossiter, S. Shaw, T. A. Shutt, C. Silva, M. Solmaz, V. N. Solovov, P. Sorensen, T. J. Sumner, N. Swanson, M. Szydagis, D. J. Taylor, R. Taylor, W. C. Taylor, B. P. Tennyson, P. A. Terman, D. R. Tiedt, W. H. To, L. Tvrznikova, U. Utku, A. Vacheret, A. Vaitkus, V. Velan, R. C. Webb, J. T. White, T. J. Whitis, M. S. Witherell, F. L. H. Wolfs, D. Woodward, X. Xiang, J. Xu, C. Zhang

Summary: This paper introduces a novel technique using machine learning to mitigate electrode backgrounds in xenon time projection chambers for low-mass dark matter searches. By identifying and rejecting signals from wire grid electrodes near the top and bottom of the active target, the technique can improve limits on low-mass DM interactions significantly.

PHYSICAL REVIEW D (2021)

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