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arXiv · 2605.03048

Improved muon energy estimation using a detailed model of multiple Coulomb scattering in the MicroBooNE LArTPC

MicroBooNE Collaboration·P. Abratenko·D. Andrade Aldana·J. Asaadi·A. Ashkenazi·S. Balasubramanian·B. Baller·A. Barnard·G. Barr·D. Barrow·J. Barrow·V. Basque·J. Bateman·B. Behera·O. Benevides Rodrigues·S. Berkman·A. Bhat·M. Bhattacharya·V. Bhelande·A. Binau·M. Bishai·A. Blake·B. Bogart·T. Bolton·M. B. Brunetti·L. Camilleri·D. Caratelli·F. Cavanna·G. Cerati·A. Chappell·Y. Chen·J. M. Conrad·M. Convery·L. Cooper-Troendle·J. I. Crespo-Anadon·R. Cross·M. Del Tutto·S. R. Dennis·P. Detje·R. Diurba·Z. Djurcic·K. Duffy·S. Dytman·B. Eberly·P. Englezos·A. Ereditato·J. J. Evans·C. Fang·B. T. Fleming·W. Foreman·D. Franco·A. P. Furmanski·F. Gao·D. Garcia Gamez·S. Gardiner·G. Ge·S. Gollapinni·E. Gramellini·P. Green·H. Greenlee·L. Gu·W. Gu·R. Guenette·L. Hagaman·M. D. Handley·M. Harrison·S. Hawkins·A. Hergenhan·O. Hen·C. Hilgenberg·G. A. Horton-Smith·A. Hussain·B. Irwin·M. S. Ismail·C. James·X. Ji·J. H. Jo·R. A. Johnson·A. Johnson·D. Kalra·G. Karagiorgi·A. Kelly·W. Ketchum·M. Kirby·T. Kobilarcik·K. Kumar·N. Lane·J. -Y. Li·Y. Li·K. Lin·B. R. Littlejohn·L. Liu·S. Liu·W. C. Louis·X. Luo·T. Mahmud·N. Majeed·C. Mariani·J. Marshall·M. G. Manuel Alves
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Abstract

We present an improved technique for estimating a muon's energy by measuring the deflections along its path inside the MicroBooNE detector from multiple Coulomb scattering (MCS). This approach implements several innovations that better capture detector non-idealizations compared to previous MCS-based muon energy estimators. As a result, it achieves improved resolution, reduced bias, and better data-model agreement. Using model simulation, for fully contained events the estimated bias is within 1% and the estimated resolution varies from 4.3% to 10% as muon energy increases from 0.1 GeV to 2 GeV. For events with particles exiting the detector volume, at least a meter of reconstructed muon track, and a muon energy below 2 GeV, the estimated bias is less than 2% and the estimated resolution varies from 7% to 17% over muon energy. These demonstrate significant improvements over the performance of previous work using an MCS-based energy estimator at MicroBooNE, which achieves twice as large a resolution as well as a bias of 20% over the same energy region. Data-model goodness-of-fit studies are used to validate the estimator's performance on data, showing good agreement within model uncertainties.

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MicroBooNE Collaboration, P. Abratenko, D. Andrade Aldana, J. Asaadi, A. Ashkenazi, S. Balasubramanian, B. Baller, A. Barnard, G. Barr, D. Barrow, J. Barrow, V. Basque, J. Bateman, B. Behera, O. Benevides Rodrigues, S. Berkman, A. Bhat, M. Bhattacharya, V. Bhelande, A. Binau, M. Bishai, A. Blake, B. Bogart, T. Bolton, M. B. Brunetti, L. Camilleri, D. Caratelli, F. Cavanna, G. Cerati, A. Chappell, Y. Chen, J. M. Conrad, M. Convery, L. Cooper-Troendle, J. I. Crespo-Anadon, R. Cross, M. Del Tutto, S. R. Dennis, P. Detje, R. Diurba, Z. Djurcic, K. Duffy, S. Dytman, B. Eberly, P. Englezos, A. Ereditato, J. J. Evans, C. Fang, B. T. Fleming, W. Foreman, D. Franco, A. P. Furmanski, F. Gao, D. Garcia Gamez, S. Gardiner, G. Ge, S. Gollapinni, E. Gramellini, P. Green, H. Greenlee, L. Gu, W. Gu, R. Guenette, L. Hagaman, M. D. Handley, M. Harrison, S. Hawkins, A. Hergenhan, O. Hen, C. Hilgenberg, G. A. Horton-Smith, A. Hussain, B. Irwin, M. S. Ismail, C. James, X. Ji, J. H. Jo, R. A. Johnson, A. Johnson, D. Kalra, G. Karagiorgi, A. Kelly, W. Ketchum, M. Kirby, T. Kobilarcik, K. Kumar, N. Lane, J. -Y. Li, Y. Li, K. Lin, B. R. Littlejohn, L. Liu, S. Liu, W. C. Louis, X. Luo, T. Mahmud, N. Majeed, C. Mariani, J. Marshall, M. G. Manuel Alves. 2026-05-04. Improved muon energy estimation using a detailed model of multiple Coulomb scattering in the MicroBooNE LArTPC. https://doi.org/10.1088/1748-0221/21/08/p08001

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