Buchumschlag

Data-driven model validation for neutrino-nucleus cross section measurements

Fuente: arXiv

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Bibliographische Detailangaben
Hauptverfasser:	MicroBooNE collaboration, Abratenko, P., Alterkait, O., Aldana, D. Andrade, Arellano, L., Asaadi, J., Ashkenazi, A., Balasubramanian, S., Baller, B., Barnard, A., Barr, G., Barrow, D., Barrow, J., Basque, V., Bateman, J., Rodrigues, O. Benevides, Berkman, S., Bhanderi, A., Bhat, A., Bhattacharya, M., Bishai, M., Blake, A., Bogart, B., Bolton, T., Brunetti, M. B., Camilleri, L., Cao, Y., 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., Garcia-Gamez, D., Gardiner, S., Ge, G., Gollapinni, S., Gramellini, E., Green, P., Greenlee, H., Gu, L., Gu, W., Guenette, R., Guzowski, P., Hagaman, L., Handley, M. D., Hen, O., Hilgenberg, C., Horton-Smith, G. A., Imani, Z., Irwin, B., Ismail, M. S., James, C., Ji, X., Jo, J. H., Johnson, R. A., Jwa, Y. J., Kalra, D., Karagiorgi, G., Ketchum, W., Kirby, M., Kobilarcik, T., Lane, N., Li, J. -Y., Li, Y., Lin, K., Littlejohn, B. R., Liu, L., Louis, W. C., Luo, X., Mahmud, T., Mariani, C., Marsden, D., Marshall, J., Martinez, N., Caicedo, D. A. Martinez, Martynenko, S., Mastbaum, A., Mawby, I., McConkey, N., Meddage, V., Mellet, L., Mendez, J., Micallef, J., Miller, K., Mistry, K., Mohayai, T., Mogan, A., Mooney, M., Moor, A. F., Moore, C. D., Lepin, L. Mora, Moudgalya, M. M., Babu, S. Mulleria, Naples, D., Navrer-Agasson, A., Nayak, N., Nebot-Guinot, M., Nguyen, C., Nowak, J., Oza, N., Palamara, O., Pallat, N., Paolone, V., Papadopoulou, A., Papavassiliou, V., Parkinson, H., 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., Ren, L., Rochester, L., Rondon, J. Rodriguez, Rosenberg, M., Ross-Lonergan, M., Safa, I., Schmitz, D. W., Schukraft, A., Seligman, W., Shaevitz, M. H., Sharankova, R., Shi, J., Snider, E. L., Soderberg, M., 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., Weber, M., Wei, H., White, A. J., Wolbers, S., Wongjirad, T., Wospakrik, M., Wresilo, K., Wu, W., Yandel, E., Yang, T., Yates, L. E., Yu, H. W., Zeller, G. P., Zennamo, J., Zhang, C.
Format:	Preprint
Veröffentlicht:	2024
Schlagworte:	High Energy Physics - Experiment
Online-Zugang:	Acceder al recurso
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author	MicroBooNE collaboration Abratenko, P. Alterkait, O. Aldana, D. Andrade Arellano, L. Asaadi, J. Ashkenazi, A. Balasubramanian, S. Baller, B. Barnard, A. Barr, G. Barrow, D. Barrow, J. Basque, V. Bateman, J. Rodrigues, O. Benevides Berkman, S. Bhanderi, A. Bhat, A. Bhattacharya, M. Bishai, M. Blake, A. Bogart, B. Bolton, T. Brunetti, M. B. Camilleri, L. Cao, Y. 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. Garcia-Gamez, D. Gardiner, S. Ge, G. Gollapinni, S. Gramellini, E. Green, P. Greenlee, H. Gu, L. Gu, W. Guenette, R. Guzowski, P. Hagaman, L. Handley, M. D. Hen, O. Hilgenberg, C. Horton-Smith, G. A. Imani, Z. Irwin, B. Ismail, M. S. James, C. Ji, X. Jo, J. H. Johnson, R. A. Jwa, Y. J. Kalra, D. Karagiorgi, G. Ketchum, W. Kirby, M. Kobilarcik, T. Lane, N. Li, J. -Y. Li, Y. Lin, K. Littlejohn, B. R. Liu, L. Louis, W. C. Luo, X. Mahmud, T. Mariani, C. Marsden, D. Marshall, J. Martinez, N. Caicedo, D. A. Martinez Martynenko, S. Mastbaum, A. Mawby, I. McConkey, N. Meddage, V. Mellet, L. Mendez, J. Micallef, J. Miller, K. Mistry, K. Mohayai, T. Mogan, A. Mooney, M. Moor, A. F. Moore, C. D. Lepin, L. Mora Moudgalya, M. M. Babu, S. Mulleria Naples, D. Navrer-Agasson, A. Nayak, N. Nebot-Guinot, M. Nguyen, C. Nowak, J. Oza, N. Palamara, O. Pallat, N. Paolone, V. Papadopoulou, A. Papavassiliou, V. Parkinson, H. 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. Ren, L. Rochester, L. Rondon, J. Rodriguez Rosenberg, M. Ross-Lonergan, M. Safa, I. Schmitz, D. W. Schukraft, A. Seligman, W. Shaevitz, M. H. Sharankova, R. Shi, J. Snider, E. L. Soderberg, M. 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. Weber, M. Wei, H. White, A. J. Wolbers, S. Wongjirad, T. Wospakrik, M. Wresilo, K. Wu, W. Yandel, E. Yang, T. Yates, L. E. Yu, H. W. Zeller, G. P. Zennamo, J. Zhang, C.
author_facet	MicroBooNE collaboration Abratenko, P. Alterkait, O. Aldana, D. Andrade Arellano, L. Asaadi, J. Ashkenazi, A. Balasubramanian, S. Baller, B. Barnard, A. Barr, G. Barrow, D. Barrow, J. Basque, V. Bateman, J. Rodrigues, O. Benevides Berkman, S. Bhanderi, A. Bhat, A. Bhattacharya, M. Bishai, M. Blake, A. Bogart, B. Bolton, T. Brunetti, M. B. Camilleri, L. Cao, Y. 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. Garcia-Gamez, D. Gardiner, S. Ge, G. Gollapinni, S. Gramellini, E. Green, P. Greenlee, H. Gu, L. Gu, W. Guenette, R. Guzowski, P. Hagaman, L. Handley, M. D. Hen, O. Hilgenberg, C. Horton-Smith, G. A. Imani, Z. Irwin, B. Ismail, M. S. James, C. Ji, X. Jo, J. H. Johnson, R. A. Jwa, Y. J. Kalra, D. Karagiorgi, G. Ketchum, W. Kirby, M. Kobilarcik, T. Lane, N. Li, J. -Y. Li, Y. Lin, K. Littlejohn, B. R. Liu, L. Louis, W. C. Luo, X. Mahmud, T. Mariani, C. Marsden, D. Marshall, J. Martinez, N. Caicedo, D. A. Martinez Martynenko, S. Mastbaum, A. Mawby, I. McConkey, N. Meddage, V. Mellet, L. Mendez, J. Micallef, J. Miller, K. Mistry, K. Mohayai, T. Mogan, A. Mooney, M. Moor, A. F. Moore, C. D. Lepin, L. Mora Moudgalya, M. M. Babu, S. Mulleria Naples, D. Navrer-Agasson, A. Nayak, N. Nebot-Guinot, M. Nguyen, C. Nowak, J. Oza, N. Palamara, O. Pallat, N. Paolone, V. Papadopoulou, A. Papavassiliou, V. Parkinson, H. 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. Ren, L. Rochester, L. Rondon, J. Rodriguez Rosenberg, M. Ross-Lonergan, M. Safa, I. Schmitz, D. W. Schukraft, A. Seligman, W. Shaevitz, M. H. Sharankova, R. Shi, J. Snider, E. L. Soderberg, M. 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. Weber, M. Wei, H. White, A. J. Wolbers, S. Wongjirad, T. Wospakrik, M. Wresilo, K. Wu, W. Yandel, E. Yang, T. Yates, L. E. Yu, H. W. Zeller, G. P. Zennamo, J. Zhang, C.
contents	Neutrino-nucleus cross section measurements are needed to improve interaction modeling to meet the precision needs of neutrino experiments in efforts to measure oscillation parameters and search for physics beyond the Standard Model. We review the difficulties associated with modeling neutrino-nucleus interactions that lead to a dependence on event generators in oscillation analyses and cross section measurements alike. We then describe data-driven model validation techniques intended to address this model dependence. The method relies on utilizing various goodness-of-fit tests and the correlations between different observables and channels to probe the model for defects in the phase space relevant for the desired analysis. These techniques shed light on relevant mis-modeling, allowing it to be detected before it begins to bias the cross section results. We compare more commonly used model validation methods which directly validate the model against alternative ones to these data-driven techniques and show their efficacy with fake data studies. These studies demonstrate that employing data-driven model validation in cross section measurements represents a reliable strategy to produce robust results that will stimulate the desired improvements to interaction modeling.
format	Preprint
id	arxiv_https___arxiv_org_abs_2411_03280
institution	arXiv
publishDate	2024
record_format	arxiv
spellingShingle	Data-driven model validation for neutrino-nucleus cross section measurements MicroBooNE collaboration Abratenko, P. Alterkait, O. Aldana, D. Andrade Arellano, L. Asaadi, J. Ashkenazi, A. Balasubramanian, S. Baller, B. Barnard, A. Barr, G. Barrow, D. Barrow, J. Basque, V. Bateman, J. Rodrigues, O. Benevides Berkman, S. Bhanderi, A. Bhat, A. Bhattacharya, M. Bishai, M. Blake, A. Bogart, B. Bolton, T. Brunetti, M. B. Camilleri, L. Cao, Y. 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. Garcia-Gamez, D. Gardiner, S. Ge, G. Gollapinni, S. Gramellini, E. Green, P. Greenlee, H. Gu, L. Gu, W. Guenette, R. Guzowski, P. Hagaman, L. Handley, M. D. Hen, O. Hilgenberg, C. Horton-Smith, G. A. Imani, Z. Irwin, B. Ismail, M. S. James, C. Ji, X. Jo, J. H. Johnson, R. A. Jwa, Y. J. Kalra, D. Karagiorgi, G. Ketchum, W. Kirby, M. Kobilarcik, T. Lane, N. Li, J. -Y. Li, Y. Lin, K. Littlejohn, B. R. Liu, L. Louis, W. C. Luo, X. Mahmud, T. Mariani, C. Marsden, D. Marshall, J. Martinez, N. Caicedo, D. A. Martinez Martynenko, S. Mastbaum, A. Mawby, I. McConkey, N. Meddage, V. Mellet, L. Mendez, J. Micallef, J. Miller, K. Mistry, K. Mohayai, T. Mogan, A. Mooney, M. Moor, A. F. Moore, C. D. Lepin, L. Mora Moudgalya, M. M. Babu, S. Mulleria Naples, D. Navrer-Agasson, A. Nayak, N. Nebot-Guinot, M. Nguyen, C. Nowak, J. Oza, N. Palamara, O. Pallat, N. Paolone, V. Papadopoulou, A. Papavassiliou, V. Parkinson, H. 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. Ren, L. Rochester, L. Rondon, J. Rodriguez Rosenberg, M. Ross-Lonergan, M. Safa, I. Schmitz, D. W. Schukraft, A. Seligman, W. Shaevitz, M. H. Sharankova, R. Shi, J. Snider, E. L. Soderberg, M. 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. Weber, M. Wei, H. White, A. J. Wolbers, S. Wongjirad, T. Wospakrik, M. Wresilo, K. Wu, W. Yandel, E. Yang, T. Yates, L. E. Yu, H. W. Zeller, G. P. Zennamo, J. Zhang, C. High Energy Physics - Experiment Neutrino-nucleus cross section measurements are needed to improve interaction modeling to meet the precision needs of neutrino experiments in efforts to measure oscillation parameters and search for physics beyond the Standard Model. We review the difficulties associated with modeling neutrino-nucleus interactions that lead to a dependence on event generators in oscillation analyses and cross section measurements alike. We then describe data-driven model validation techniques intended to address this model dependence. The method relies on utilizing various goodness-of-fit tests and the correlations between different observables and channels to probe the model for defects in the phase space relevant for the desired analysis. These techniques shed light on relevant mis-modeling, allowing it to be detected before it begins to bias the cross section results. We compare more commonly used model validation methods which directly validate the model against alternative ones to these data-driven techniques and show their efficacy with fake data studies. These studies demonstrate that employing data-driven model validation in cross section measurements represents a reliable strategy to produce robust results that will stimulate the desired improvements to interaction modeling.
title	Data-driven model validation for neutrino-nucleus cross section measurements
topic	High Energy Physics - Experiment
url	https://arxiv.org/abs/2411.03280