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

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Main Authors:	MicroBooNE Collaboration, Abratenko, P., Aldana, D. Andrade, Asaadi, J., Ashkenazi, A., Balasubramanian, S., Baller, B., Barnard, A., Barr, G., Barrow, D., Barrow, J., Basque, V., Bateman, J., Behera, B., Rodrigues, O. Benevides, Berkman, S., Bhat, A., Bhattacharya, M., Bhelande, V., Binau, A., Bishai, M., Blake, A., Bogart, B., Bolton, T., Brunetti, M. B., Camilleri, L., Caratelli, D., Cavanna, F., Cerati, G., Chappell, A., Chen, Y., Conrad, J. M., Convery, M., Cooper-Troendle, L., Crespo-Anadon, J. I., Cross, R., Del Tutto, M., Dennis, S. R., Detje, P., Diurba, R., Djurcic, Z., Duffy, K., Dytman, S., Eberly, B., Englezos, P., Ereditato, A., Evans, J. J., Fang, C., Fleming, B. T., Foreman, W., Franco, D., Furmanski, A. P., Gao, F., Gamez, D. Garcia, Gardiner, S., Ge, G., Gollapinni, S., Gramellini, E., Green, P., Greenlee, H., Gu, L., Gu, W., Guenette, R., Hagaman, L., Handley, M. D., Harrison, M., Hawkins, S., Hergenhan, A., Hen, O., Hilgenberg, C., Horton-Smith, G. A., Hussain, A., Irwin, B., Ismail, M. S., James, C., Ji, X., Jo, J. H., Johnson, R. A., Johnson, A., Kalra, D., Karagiorgi, G., Kelly, A., Ketchum, W., Kirby, M., Kobilarcik, T., Kumar, K., Lane, N., Li, J. -Y., Li, Y., Lin, K., Littlejohn, B. R., Liu, L., Liu, S., Louis, W. C., Luo, X., Mahmud, T., Majeed, N., Mariani, C., Marshall, J., Alves, M. G. Manuel, Caicedo, D. A. Martinez, Lopez, F. Martinez, Martynenko, S., Mastbaum, A., Mawby, I., McConkey, N., McConnell, B., Mellet, L., Mendez, J., Micallef, J., Mogan, A., Mohayai, T., Mooney, M., Moor, A. F., Moore, C. D., Lepin, L. Mora, Morquecho, M. A. Hernandez, Moudgalya, M. M., Mulleriababu, S., Naples, D., Agasson, A. Navrer, Nayak, N., Nebot-Guinot, M., Nguyen, C., Nguyen, L., Nowak, J., Oza, N., Palamara, O., Pallat, N., Paolone, V., Papadopoulou, A., Papavassiliou, V., Parkinson, H. B., Pate, S. F., Patel, N., Pavlovic, Z., Piasetzky, E., Pletcher, K., Pophale, I., Qian, X., Raaf, J. L., Radeka, V., Rafique, A., Reggiani-Guzzo, M., Rondon, J. Rodriguez, Rosenberg, M., Ross-Lonergan, M., Safa, I., Sauer, C., Schmitz, D. W., Schukraft, A., Seligman, W., Shaevitz, M. H., Sharankova, R., Shi, J., Silva, L., Snider, E. L., Soldner-Rembold, S., Spitz, J., Stancari, M., John, J. St., Strauss, T., Szelc, A. M., Taniuchi, N., Terao, K., Thorpe, C., Torbunov, D., Totani, D., Toups, M., Trettin, A., Tsai, Y. -T., Tyler, J., Uchida, M. A., Usher, T., Viren, B., Wang, J., Wang, L., Weber, M., Wei, H., White, A. J., Wolbers, S., Wongjirad, T., Wresilo, K., Wu, W., Yandel, E., Yang, T., Yates, L. E., Yu, H. W., Zeller, G. P., Zennamo, J., Zhang, C., Zhang, Y.
Format:	Preprint
Published:	2026
Subjects:	High Energy Physics - Experiment
Online Access:	Acceder al recurso
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author	MicroBooNE Collaboration Abratenko, P. Aldana, D. Andrade Asaadi, J. Ashkenazi, A. Balasubramanian, S. Baller, B. Barnard, A. Barr, G. Barrow, D. Barrow, J. Basque, V. Bateman, J. Behera, B. Rodrigues, O. Benevides Berkman, S. Bhat, A. Bhattacharya, M. Bhelande, V. Binau, A. Bishai, M. Blake, A. Bogart, B. Bolton, T. Brunetti, M. B. Camilleri, L. Caratelli, D. Cavanna, F. Cerati, G. Chappell, A. Chen, Y. Conrad, J. M. Convery, M. Cooper-Troendle, L. Crespo-Anadon, J. I. Cross, R. Del Tutto, M. Dennis, S. R. Detje, P. Diurba, R. Djurcic, Z. Duffy, K. Dytman, S. Eberly, B. Englezos, P. Ereditato, A. Evans, J. J. Fang, C. Fleming, B. T. Foreman, W. Franco, D. Furmanski, A. P. Gao, F. Gamez, D. Garcia Gardiner, S. Ge, G. Gollapinni, S. Gramellini, E. Green, P. Greenlee, H. Gu, L. Gu, W. Guenette, R. Hagaman, L. Handley, M. D. Harrison, M. Hawkins, S. Hergenhan, A. Hen, O. Hilgenberg, C. Horton-Smith, G. A. Hussain, A. Irwin, B. Ismail, M. S. James, C. Ji, X. Jo, J. H. Johnson, R. A. Johnson, A. Kalra, D. Karagiorgi, G. Kelly, A. Ketchum, W. Kirby, M. Kobilarcik, T. Kumar, K. Lane, N. Li, J. -Y. Li, Y. Lin, K. Littlejohn, B. R. Liu, L. Liu, S. Louis, W. C. Luo, X. Mahmud, T. Majeed, N. Mariani, C. Marshall, J. Alves, M. G. Manuel Caicedo, D. A. Martinez Lopez, F. Martinez Martynenko, S. Mastbaum, A. Mawby, I. McConkey, N. McConnell, B. Mellet, L. Mendez, J. Micallef, J. Mogan, A. Mohayai, T. Mooney, M. Moor, A. F. Moore, C. D. Lepin, L. Mora Morquecho, M. A. Hernandez Moudgalya, M. M. Mulleriababu, S. Naples, D. Agasson, A. Navrer Nayak, N. Nebot-Guinot, M. Nguyen, C. Nguyen, L. Nowak, J. Oza, N. Palamara, O. Pallat, N. Paolone, V. Papadopoulou, A. Papavassiliou, V. Parkinson, H. B. Pate, S. F. Patel, N. Pavlovic, Z. Piasetzky, E. Pletcher, K. Pophale, I. Qian, X. Raaf, J. L. Radeka, V. Rafique, A. Reggiani-Guzzo, M. Rondon, J. Rodriguez Rosenberg, M. Ross-Lonergan, M. Safa, I. Sauer, C. Schmitz, D. W. Schukraft, A. Seligman, W. Shaevitz, M. H. Sharankova, R. Shi, J. Silva, L. Snider, E. L. Soldner-Rembold, S. Spitz, J. Stancari, M. John, J. St. Strauss, T. Szelc, A. M. Taniuchi, N. Terao, K. Thorpe, C. Torbunov, D. Totani, D. Toups, M. Trettin, A. Tsai, Y. -T. Tyler, J. Uchida, M. A. Usher, T. Viren, B. Wang, J. Wang, L. Weber, M. Wei, H. White, A. J. Wolbers, S. Wongjirad, T. Wresilo, K. Wu, W. Yandel, E. Yang, T. Yates, L. E. Yu, H. W. Zeller, G. P. Zennamo, J. Zhang, C. Zhang, Y.
author_facet	MicroBooNE Collaboration Abratenko, P. Aldana, D. Andrade Asaadi, J. Ashkenazi, A. Balasubramanian, S. Baller, B. Barnard, A. Barr, G. Barrow, D. Barrow, J. Basque, V. Bateman, J. Behera, B. Rodrigues, O. Benevides Berkman, S. Bhat, A. Bhattacharya, M. Bhelande, V. Binau, A. Bishai, M. Blake, A. Bogart, B. Bolton, T. Brunetti, M. B. Camilleri, L. Caratelli, D. Cavanna, F. Cerati, G. Chappell, A. Chen, Y. Conrad, J. M. Convery, M. Cooper-Troendle, L. Crespo-Anadon, J. I. Cross, R. Del Tutto, M. Dennis, S. R. Detje, P. Diurba, R. Djurcic, Z. Duffy, K. Dytman, S. Eberly, B. Englezos, P. Ereditato, A. Evans, J. J. Fang, C. Fleming, B. T. Foreman, W. Franco, D. Furmanski, A. P. Gao, F. Gamez, D. Garcia Gardiner, S. Ge, G. Gollapinni, S. Gramellini, E. Green, P. Greenlee, H. Gu, L. Gu, W. Guenette, R. Hagaman, L. Handley, M. D. Harrison, M. Hawkins, S. Hergenhan, A. Hen, O. Hilgenberg, C. Horton-Smith, G. A. Hussain, A. Irwin, B. Ismail, M. S. James, C. Ji, X. Jo, J. H. Johnson, R. A. Johnson, A. Kalra, D. Karagiorgi, G. Kelly, A. Ketchum, W. Kirby, M. Kobilarcik, T. Kumar, K. Lane, N. Li, J. -Y. Li, Y. Lin, K. Littlejohn, B. R. Liu, L. Liu, S. Louis, W. C. Luo, X. Mahmud, T. Majeed, N. Mariani, C. Marshall, J. Alves, M. G. Manuel Caicedo, D. A. Martinez Lopez, F. Martinez Martynenko, S. Mastbaum, A. Mawby, I. McConkey, N. McConnell, B. Mellet, L. Mendez, J. Micallef, J. Mogan, A. Mohayai, T. Mooney, M. Moor, A. F. Moore, C. D. Lepin, L. Mora Morquecho, M. A. Hernandez Moudgalya, M. M. Mulleriababu, S. Naples, D. Agasson, A. Navrer Nayak, N. Nebot-Guinot, M. Nguyen, C. Nguyen, L. Nowak, J. Oza, N. Palamara, O. Pallat, N. Paolone, V. Papadopoulou, A. Papavassiliou, V. Parkinson, H. B. Pate, S. F. Patel, N. Pavlovic, Z. Piasetzky, E. Pletcher, K. Pophale, I. Qian, X. Raaf, J. L. Radeka, V. Rafique, A. Reggiani-Guzzo, M. Rondon, J. Rodriguez Rosenberg, M. Ross-Lonergan, M. Safa, I. Sauer, C. Schmitz, D. W. Schukraft, A. Seligman, W. Shaevitz, M. H. Sharankova, R. Shi, J. Silva, L. Snider, E. L. Soldner-Rembold, S. Spitz, J. Stancari, M. John, J. St. Strauss, T. Szelc, A. M. Taniuchi, N. Terao, K. Thorpe, C. Torbunov, D. Totani, D. Toups, M. Trettin, A. Tsai, Y. -T. Tyler, J. Uchida, M. A. Usher, T. Viren, B. Wang, J. Wang, L. Weber, M. Wei, H. White, A. J. Wolbers, S. Wongjirad, T. Wresilo, K. Wu, W. Yandel, E. Yang, T. Yates, L. E. Yu, H. W. Zeller, G. P. Zennamo, J. Zhang, C. Zhang, Y.
contents	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.
format	Preprint
id	arxiv_https___arxiv_org_abs_2605_03048
institution	arXiv
publishDate	2026
record_format	arxiv
spellingShingle	Improved muon energy estimation using a detailed model of multiple Coulomb scattering in the MicroBooNE LArTPC MicroBooNE Collaboration Abratenko, P. Aldana, D. Andrade Asaadi, J. Ashkenazi, A. Balasubramanian, S. Baller, B. Barnard, A. Barr, G. Barrow, D. Barrow, J. Basque, V. Bateman, J. Behera, B. Rodrigues, O. Benevides Berkman, S. Bhat, A. Bhattacharya, M. Bhelande, V. Binau, A. Bishai, M. Blake, A. Bogart, B. Bolton, T. Brunetti, M. B. Camilleri, L. Caratelli, D. Cavanna, F. Cerati, G. Chappell, A. Chen, Y. Conrad, J. M. Convery, M. Cooper-Troendle, L. Crespo-Anadon, J. I. Cross, R. Del Tutto, M. Dennis, S. R. Detje, P. Diurba, R. Djurcic, Z. Duffy, K. Dytman, S. Eberly, B. Englezos, P. Ereditato, A. Evans, J. J. Fang, C. Fleming, B. T. Foreman, W. Franco, D. Furmanski, A. P. Gao, F. Gamez, D. Garcia Gardiner, S. Ge, G. Gollapinni, S. Gramellini, E. Green, P. Greenlee, H. Gu, L. Gu, W. Guenette, R. Hagaman, L. Handley, M. D. Harrison, M. Hawkins, S. Hergenhan, A. Hen, O. Hilgenberg, C. Horton-Smith, G. A. Hussain, A. Irwin, B. Ismail, M. S. James, C. Ji, X. Jo, J. H. Johnson, R. A. Johnson, A. Kalra, D. Karagiorgi, G. Kelly, A. Ketchum, W. Kirby, M. Kobilarcik, T. Kumar, K. Lane, N. Li, J. -Y. Li, Y. Lin, K. Littlejohn, B. R. Liu, L. Liu, S. Louis, W. C. Luo, X. Mahmud, T. Majeed, N. Mariani, C. Marshall, J. Alves, M. G. Manuel Caicedo, D. A. Martinez Lopez, F. Martinez Martynenko, S. Mastbaum, A. Mawby, I. McConkey, N. McConnell, B. Mellet, L. Mendez, J. Micallef, J. Mogan, A. Mohayai, T. Mooney, M. Moor, A. F. Moore, C. D. Lepin, L. Mora Morquecho, M. A. Hernandez Moudgalya, M. M. Mulleriababu, S. Naples, D. Agasson, A. Navrer Nayak, N. Nebot-Guinot, M. Nguyen, C. Nguyen, L. Nowak, J. Oza, N. Palamara, O. Pallat, N. Paolone, V. Papadopoulou, A. Papavassiliou, V. Parkinson, H. B. Pate, S. F. Patel, N. Pavlovic, Z. Piasetzky, E. Pletcher, K. Pophale, I. Qian, X. Raaf, J. L. Radeka, V. Rafique, A. Reggiani-Guzzo, M. Rondon, J. Rodriguez Rosenberg, M. Ross-Lonergan, M. Safa, I. Sauer, C. Schmitz, D. W. Schukraft, A. Seligman, W. Shaevitz, M. H. Sharankova, R. Shi, J. Silva, L. Snider, E. L. Soldner-Rembold, S. Spitz, J. Stancari, M. John, J. St. Strauss, T. Szelc, A. M. Taniuchi, N. Terao, K. Thorpe, C. Torbunov, D. Totani, D. Toups, M. Trettin, A. Tsai, Y. -T. Tyler, J. Uchida, M. A. Usher, T. Viren, B. Wang, J. Wang, L. Weber, M. Wei, H. White, A. J. Wolbers, S. Wongjirad, T. Wresilo, K. Wu, W. Yandel, E. Yang, T. Yates, L. E. Yu, H. W. Zeller, G. P. Zennamo, J. Zhang, C. Zhang, Y. High Energy Physics - Experiment 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.
title	Improved muon energy estimation using a detailed model of multiple Coulomb scattering in the MicroBooNE LArTPC
topic	High Energy Physics - Experiment
url	https://arxiv.org/abs/2605.03048