中文

基于局部减法的 MicroBooNE LArTPC 中μ子能量估计改进

高能物理 - 实验 2026-05-06 v1

摘要

我们提出了一种改进的μ子能量估计技术,通过测量μ子在 MicroBooNE 检测器内部多次库仑散射(Multiple Coulomb Scattering, MCS)沿路径的偏转。该方法实施了多项创新,更好地捕捉检测器非理想化因素,较以前的基于 MCS 的μ子能量估计器。结果实现了更佳的分辨率、降低的偏差以及更好的数据-模型吻合度。使用模型仿真,对于完全封闭事件,估计偏差在1%以内,估计分辨率随μ子能量从0.1 GeV增加至2 GeV而从4.3%变化至10%。对于带有粒子离开检测器体积的事件,至少有1米的μ子轨迹且μ子能量低于2 GeV时,估计偏差小于2%,估计分辨率随μ子能量从7%变化至17%。这些结果显示,与 MicroBooNE 之前使用的基于 MCS 的能量估计器相比,本工作在相同能量范围内实现了显著的性能提升,该估计器的分辨率仅为前者的一半,偏差为前者的20%。数据-模型拟合优度研究用于验证该估计器在数据上的表现,显示在模型不确定性范围内与之吻合。

关键词

引用

@article{arxiv.2605.03048,
  title  = {Improved muon energy estimation using a detailed model of multiple Coulomb scattering in the MicroBooNE LArTPC},
  author = {MicroBooNE Collaboration and P. Abratenko and D. Andrade Aldana and J. Asaadi and A. Ashkenazi and S. Balasubramanian and B. Baller and A. Barnard and G. Barr and D. Barrow and J. Barrow and V. Basque and J. Bateman and B. Behera and O. Benevides Rodrigues and S. Berkman and A. Bhat and M. Bhattacharya and V. Bhelande and A. Binau and M. Bishai and A. Blake and B. Bogart and T. Bolton and M. B. Brunetti and L. Camilleri and D. Caratelli and F. Cavanna and G. Cerati and A. Chappell and Y. Chen and J. M. Conrad and M. Convery and L. Cooper-Troendle and J. I. Crespo-Anadon and R. Cross and M. Del Tutto and S. R. Dennis and P. Detje and R. Diurba and Z. Djurcic and K. Duffy and S. Dytman and B. Eberly and P. Englezos and A. Ereditato and J. J. Evans and C. Fang and B. T. Fleming and W. Foreman and D. Franco and A. P. Furmanski and F. Gao and D. Garcia Gamez and S. Gardiner and G. Ge and S. Gollapinni and E. Gramellini and P. Green and H. Greenlee and L. Gu and W. Gu and R. Guenette and L. Hagaman and M. D. Handley and M. Harrison and S. Hawkins and A. Hergenhan and O. Hen and C. Hilgenberg and G. A. Horton-Smith and A. Hussain and B. Irwin and M. S. Ismail and C. James and X. Ji and J. H. Jo and R. A. Johnson and A. Johnson and D. Kalra and G. Karagiorgi and A. Kelly and W. Ketchum and M. Kirby and T. Kobilarcik and K. Kumar and N. Lane and J. -Y. Li and Y. Li and K. Lin and B. R. Littlejohn and L. Liu and S. Liu and W. C. Louis and X. Luo and T. Mahmud and N. Majeed and C. Mariani and J. Marshall and M. G. Manuel Alves and D. A. Martinez Caicedo and F. Martinez Lopez and S. Martynenko and A. Mastbaum and I. Mawby and N. McConkey and B. McConnell and L. Mellet and J. Mendez and J. Micallef and A. Mogan and T. Mohayai and M. Mooney and A. F. Moor and C. D. Moore and L. Mora Lepin and M. A. Hernandez Morquecho and M. M. Moudgalya and S. Mulleriababu and D. Naples and A. Navrer Agasson and N. Nayak and M. Nebot-Guinot and C. Nguyen and L. Nguyen and J. Nowak and N. Oza and O. Palamara and N. Pallat and V. Paolone and A. Papadopoulou and V. Papavassiliou and H. B. Parkinson and S. F. Pate and N. Patel and Z. Pavlovic and E. Piasetzky and K. Pletcher and I. Pophale and X. Qian and J. L. Raaf and V. Radeka and A. Rafique and M. Reggiani-Guzzo and J. Rodriguez Rondon and M. Rosenberg and M. Ross-Lonergan and I. Safa and C. Sauer and D. W. Schmitz and A. Schukraft and W. Seligman and M. H. Shaevitz and R. Sharankova and J. Shi and L. Silva and E. L. Snider and S. Soldner-Rembold and J. Spitz and M. Stancari and J. St. John and T. Strauss and A. M. Szelc and N. Taniuchi and K. Terao and C. Thorpe and D. Torbunov and D. Totani and M. Toups and A. Trettin and Y. -T. Tsai and J. Tyler and M. A. Uchida and T. Usher and B. Viren and J. Wang and L. Wang and M. Weber and H. Wei and A. J. White and S. Wolbers and T. Wongjirad and K. Wresilo and W. Wu and E. Yandel and T. Yang and L. E. Yates and H. W. Yu and G. P. Zeller and J. Zennamo and C. Zhang and Y. Zhang},
  journal= {arXiv preprint arXiv:2605.03048},
  year   = {2026}
}

备注

13 figures, 26 pages