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PreprintCC BY 4.0arXiv

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

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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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BibTeX
@misc{collaboration2026improved,
  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},
  howpublished = {arXiv},
  year = {2026},
  month = jul,
  doi = {10.48550/arxiv.2605.03048},
  eprint = {2605.03048},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2605.03048},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - Improved muon energy estimation using a detailed model of multiple Coulomb scattering in the MicroBooNE LArTPC
AU  - MicroBooNE Collaboration
AU  - P. Abratenko
AU  - D. Andrade Aldana
AU  - J. Asaadi
AU  - A. Ashkenazi
AU  - S. Balasubramanian
AU  - B. Baller
AU  - A. Barnard
AU  - G. Barr
AU  - D. Barrow
AU  - J. Barrow
AU  - V. Basque
AU  - J. Bateman
AU  - B. Behera
AU  - O. Benevides Rodrigues
AU  - S. Berkman
AU  - A. Bhat
AU  - M. Bhattacharya
AU  - V. Bhelande
AU  - A. Binau
AU  - M. Bishai
AU  - A. Blake
AU  - B. Bogart
AU  - T. Bolton
AU  - M. B. Brunetti
AU  - L. Camilleri
AU  - D. Caratelli
AU  - F. Cavanna
AU  - G. Cerati
AU  - A. Chappell
AU  - Y. Chen
AU  - J. M. Conrad
AU  - M. Convery
AU  - L. Cooper-Troendle
AU  - J. I. Crespo-Anadon
AU  - R. Cross
AU  - M. Del Tutto
AU  - S. R. Dennis
AU  - P. Detje
AU  - R. Diurba
AU  - Z. Djurcic
AU  - K. Duffy
AU  - S. Dytman
AU  - B. Eberly
AU  - P. Englezos
AU  - A. Ereditato
AU  - J. J. Evans
AU  - C. Fang
AU  - B. T. Fleming
AU  - W. Foreman
AU  - D. Franco
AU  - A. P. Furmanski
AU  - F. Gao
AU  - D. Garcia Gamez
AU  - S. Gardiner
AU  - G. Ge
AU  - S. Gollapinni
AU  - E. Gramellini
AU  - P. Green
AU  - H. Greenlee
PY  - 2026
DA  - 2026/07/14
PB  - arXiv
DO  - 10.48550/arxiv.2605.03048
UR  - https://arxiv.org/abs/2605.03048
AB  - 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.
ER  -