Year: 2025
Type: article
Abstract: 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 mismodeling, 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.
Authors: P. Abratenko, O. Alterkait, D. Andrade Aldana, L. Arellano, J. Asaadi, A. Ashkenazi, S. Balasubramanian, B. Baller, A. Barnard, G. Barr, D. Barrow, J. Barrow, V. Basque, J. Bateman, O. Benevides Rodrigues, S. Berkman, A. Bhanderi, A. Bhat, M. Bhattacharya, M. Bishai, A. Blake, B. Bogart, T. Bolton, M. B. Brunetti, L. Camilleri, Y. Cao, D. Caratelli, F. Cavanna, G. Cerati, A. Chappell, Y. Chen, J. M. Conrad, M. Convery, L. Cooper-Troendle, J. I. Crespo-Anadón, 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, W. Foreman, B. T. Fleming, 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, P. Guzowski, L. Hagaman, M. D. Handley, O. Hen, C. Hilgenberg, G. A. Horton-Smith, Z. Imani, B. Irwin, M. S. Ismail, C. James, X. Ji, J. H. Jo, R. A. Johnson, Y.-J. Jwa, D. Kalra, G. Karagiorgi, W. Ketchum, M. Kirby, T. Kobilarcik, N. Lane, J.-Y. Li, Y. Li, K. Lin, B. R. Littlejohn, L. Liu, W. C. Louis, X. Luo, T. Mahmud, C. Mariani, D. Marsden, J. Marshall, N. Martinez, D. A. Martinez Caicedo, S. Martynenko, A. Mastbaum, I. Mawby, N. McConkey, V. Meddage, L. Mellet, J. Mendez, J. Micallef, K. Miller, A. Mogan, T. Mohayai, M. Mooney, A. F. Moor, C. D. Moore, L. Mora Lepin, M. M. Moudgalya, S. Mulleriababu, D. Naples, A. Navrer-Agasson, N. Nayak, M. Nebot-Guinot, C. Nguyen, J. Nowak, N. Oza, O. Palamara, N. Pallat, V. Paolone, A. Papadopoulou, V. Papavassiliou, H. B. Parkinson, S. F. Pate, N. Patel, Z. Pavlovic, E. Piasetzky, K. Pletcher, I. Pophale, X. Qian, J. L. Raaf, V. Radeka, A. Rafique, M. Reggiani-Guzzo, L. Ren, L. Rochester, J. Rodriguez Rondon, M. Rosenberg, M. Ross-Lonergan, I. Safa, D. W. Schmitz, A. Schukraft, W. Seligman, M. H. Shaevitz, R. Sharankova, J. Shi, E. L. Snider, M. Soderberg, S. Söldner-Rembold, J. Spitz, M. Stancari, J. St. John, T. Strauss, A. M. Szelc, N. Taniuchi, K. Terao, C. Thorpe, D. Torbunov, D. Totani, M. Toups, A. Trettin, Y.-T. Tsai, J. Tyler, M. A. Uchida, T. Usher, B. Viren, J. Wang, M. Weber, H. Wei, A. J. White, S. Wolbers, T. Wongjirad, M. Wospakrik, K. Wresilo, W. Wu, E. Yandel, T. Yang, L. E. Yates, H. W. Yu, G. P. Zeller, J. Zennamo, C. Zhang
Institutions: Tufts University, Illinois Institute of Technology, University of Manchester, Tel Aviv University, Fermi National Accelerator Laboratory, University of Oxford, University of Minnesota, Michigan State University, University of Chicago, Brookhaven National Laboratory, Lancaster University, University of Michigan, Kansas State University, University of Warwick, Columbia University, SLAC National Accelerator Laboratory, Massachusetts Institute of Technology, University of Pittsburgh, University of Cambridge, University of Bern, Argonne National Laboratory, University of Southern Maine, Rutgers, The State University of New Jersey, Los Alamos National Laboratory, Universidad de Granada, Nankai University, University of Cincinnati, University of Edinburgh, South Dakota School of Mines and Technology, Queen Mary University of London, Louisiana State University, Colorado State University, Indiana University, Imperial College London, New Mexico State University, Syracuse University
Language: English
Topic: Neutrino Physics Research
Subfield: Nuclear and High Energy Physics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: hybrid
Awards: EXPERIMENTAL STUDIES OF QUARK-GLUON STRUCTURE OF NUCLEONS AND NUCLEI, G154696372, G1907584174, INCREASING THE DISCOVERY POTENTIAL OF UNDERGROUND PHYSICS AT SURF AND BEYOND, G4404904460, G498139845, G5616713406, G585908603, G716412294, PROPOSAL TO STUDY THE PROPERTIES AND INTERACTIONS OF ELEMENTARY PARTICLES, G86560745, G969889393
OpenAlex ID: W4410401610