Open Access
Issue
EPJ Web Conf.
Volume 337, 2025
27th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2024)
Article Number 01191
Number of page(s) 8
DOI https://doi.org/10.1051/epjconf/202533701191
Published online 07 October 2025
  1. V. Chepel, H. Araújo, Liquid noble gas detectors for low energy particle physics, Journal of Instrumentation 8, R04001 (2013). 10.1088/1748-0221/8/04/R04001 [Google Scholar]
  2. D.S. Akerib et al., The LUX-ZEPLIN (LZ) experiment, Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 953, 163047 (2020). https://doi.org/10.1016/j.nima.2019.163047 [CrossRef] [Google Scholar]
  3. J. Aalbers et al., Dark matter search results from 4.2 tonne-years of exposure of the luxzeplin (lz) experiment (2024), 2410.17036, https://arxiv.org/abs/2410.17036 [Google Scholar]
  4. J. Aalbers et al. (LUX-ZEPLIN Collaboration), First Dark Matter Search Results from the LUX-ZEPLIN (LZ) Experiment, Phys. Rev. Lett. 131, 041002 (2023). 10.1103/PhysRevLett.131.041002 [Google Scholar]
  5. B.J. Mount et al., LUX-ZEPLIN (LZ) Technical Design Report (2017), 1703.09144. [Google Scholar]
  6. M. Arthurs, Dissertation, University of Michigan, Ann Arbor, MI (2022), available at https://dx.doi.org/10.7302/5960 [Google Scholar]
  7. T.J. Anderson, Dissertation, Stanford University, Stanford, CA (2023), available at https://purl.stanford.edu/ph299jn6907 [Google Scholar]
  8. Li, Ivy et al., Energy reconstruction with semi-supervised autoencoders for dualphase time projection chambers, EPJ Web of Conf. 295, 09022 (2024). 10.1051/epjconf/202429509022 [CrossRef] [EDP Sciences] [PubMed] [Google Scholar]
  9. M. Abadi et al., TensorFlow: Large-scale machine learning on heterogeneous systems (2015), software available from tensorflow.org, http://tensorflow.org/ [Google Scholar]
  10. D.P. Kingma, J. Ba, Adam: A method for stochastic optimization (2017), 1412.6980, https://arxiv.org/abs/1412.6980 [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.