Academia.eduAcademia.edu

Outline

Title
Abstract
Introduction
Summary
References

Recent highlights from GENIE v3

Profile image of Costas AndreopoulosCostas Andreopoulos

The European Physical Journal Special Topics

https://doi.org/10.1140/EPJS/S11734-021-00295-7
visibility

…

description

19 pages

link

1 file

Abstract

The release of GENIE v3.0.0 was a major milestone in the long history of the GENIE project, delivering several alternative comprehensive neutrino interaction models, improved charged-lepton scattering simulations, a range of beyond the Standard Model simulation capabilities, improved experimental interfaces, expanded core framework capabilities, and advanced new frameworks for the global analysis of neutrino scattering data and tuning of neutrino interaction models. Steady progress continued following the release of GENIE v3.0.0. New tools and a large number of new physics models, comprehensive model configurations, and tunes have been made publicly available and planned for release in v3.2.0. This article highlights some of the most recent technical and physics developments in the GENIE v3 series.

Related papers

gSeaGen: The KM3NeT GENIE-based code for neutrino telescopes
Liam Quinn

Computer Physics Communications, 2020

The gSeaGen code is a GENIE-based application developed to efficiently generate high statistics samples of events, induced by neutrino interactions, detectable in a neutrino telescope. The gSeaGen code is able to generate

View PDFchevron_right
New features in the simulation of neutrino oscillation experiments with GLoBES 3.0
Mark Rolinec

Computer Physics Communications, 2007

We present Version 3.0 of the GLoBES ("General Long Baseline Experiment Simulator") software, which is a simulation tool for short-and long-baseline neutrino oscillation experiments. As a new feature, GLoBES 3.0 allows for user-defined systematical errors, which can also be used to simulate experiments with multiple discrete sources and detectors. In addition, the combination with external information, such as from different experiment classes, is simplified. As far as the probability calculation is concerned, GLoBES now provides an interface for the inclusion of non-standard physics without re-compilation of the software. The set of experiment prototypes coming with GLoBES has been updated. For example, built-in fluxes are now provided for the simulation of beta beams.

View PDFchevron_right
AGKY Hadronization Model Tuning in GENIE v3
Costas Andreopoulos

2021

The GENIE neutrino Monte Carlo describes neutrino-induced hadronization with an effective model, known as AGKY, which is interfaced with PYTHIA at high invariant mass. Only the lowmass AGKY model parameters were extracted from hadronic shower data from the FNAL 15 ft and BEBC experiments. In this paper, the first hadronization tune on averaged charged multiplicity data from deuterium and hydrogen bubble chamber experiments is presented, with a complete estimation of parameter uncertainties. A partial tune on deuterium data only highlights the tensions between hydrogen and deuterium datasets.

View PDFchevron_right
Hadronization Model Tuning in GENIE v3
Vadim Naumov

arXiv (Cornell University), 2021

The GENIE neutrino Monte Carlo describes neutrino-induced hadronization with an effective model, known as AGKY, which is interfaced with PYTHIA at high invariant mass. Only the lowmass AGKY model parameters were extracted from hadronic shower data from the FNAL 15 ft and BEBC experiments. In this paper, the first hadronization tune on averaged charged multiplicity data from deuterium and hydrogen bubble chamber experiments is presented, with a complete estimation of parameter uncertainties. A partial tune on deuterium data highlights the tensions between hydrogen and deuterium datasets.

View PDFchevron_right
Roadmap for the international, accelerator-based neutrino programme
M. Maltoni

Roadmap for the international, accelerator-based neutrino programme The ICFA Neutrino Panel Overview The neutrino, with its tiny mass and large mixings, offers a window on physics beyond the Standard Model. Precise measurements made using terrestrial and astrophysical sources are required to understand the nature of the neutrino, to elucidate the phenomena that give rise to its unique properties and to determine its impact on the evolution of the Universe. Accelerator-driven sources of neutrinos will play a critical role in determining its unique properties since such sources provide the only means by which neutrino and anti-neutrino transitions between all three neutrino flavours can be studied precisely. In line with its terms of reference [1] the ICFA Neutrino Panel [2] has developed a roadmap for the international, accelerator-based neutrino programme. A "roadmap discussion document" [3] was presented in May 2016 taking into account the peer-group-consultation described in the Panel's initial report [4]. The "roadmap discussion document" was used to solicit feedback from the neutrino community-and more broadly, the particle-and astroparticle-physics communitiesand the various stakeholders in the programme. The roadmap, the conclusions and recommendations presented in this document are consistent with the conclusions drawn in [4] and take into account the comments received following the publication of the roadmap discussion document. With its roadmap the Panel documents the approved objectives and milestones of the experiments that are presently in operation or under construction. Approval, construction and exploitation milestones are presented for experiments that are being considered for approval. The timetable proposed by the proponents is presented for experiments that are not yet being considered formally for approval. Based on this information, the evolution of the precision with which the critical parameters governing the neutrino are known has been evaluated. Branch or decision points have been identified based on the anticipated evolution in precision. The branch or decision points have in turn been used to identify desirable timelines for the neutrino-nucleus cross section and hadroproduction measurements that are required to maximise the integrated scientific output of the programme. The branch points have also been used to identify the timeline for the R&D required to take the programme beyond the horizon of the next generation of experiments. The theory and phenomenology programme, including nuclear theory, required to ensure that maximum benefit is derived from the experimental programme is also discussed.

View PDFchevron_right
Neutrino physics overview
JWF Valle

Journal of Physics: Conference Series, 2006

Seesaw-type and low-scale models of neutrino masses are reviewed, along with the corresponding structure of the lepton mixing matrix. The status of neutrino oscillation parameters as of June 2006 is given, including recent fluxes, as well as latest SNO, K2K and MINOS results. Some prospects for the next generation of experiments are given.

View PDFchevron_right

References (121)

  1. C. Andreopoulos et al., The GENIE Neutrino Monte Carlo Generator. Nucl. Instrum. Methods A 614(1), 87-104 (2010). https://doi.org/10.1016/j.nima.2009. 12.009. arXiv:0905.2517 [hep-ph]
  2. J. Tena-Vidal et al. Neutrino-nucleon cross-section model tuning in GENIE v3. arXiv:2104.09179 [hep-ph]
  3. D. Mancusi et al., Improving the description of proton-induced one-nucleon removal in intranuclear- cascade models. Phys. Rev. C 91(3), 034602 (2015). https://doi.org/10.1103/PhysRevC.91.034602. arXiv:1411.4562 [nucl-th]
  4. D.H. Wright, M.H. Kelsey, The Geant4 Bertini Cas- cade. Nucl. Instrum. Methods A 804, 175-188 (2015). https://doi.org/10.1016/j.nima.2015.09.058
  5. A. Buckley et al., Systematic event generator tuning for the LHC. Eur. Phys. J. C 65(1- 2), 331-357 (2010). https://doi.org/10.1140/epjc/ s10052-009-1196-7. arXiv:0907.2973 [hep-ph]
  6. SVN webiste. https://subversion.apache.org/
  7. Git webiste. https://git-scm.com/
  8. P.A. Zyla et al., Review of particle physics. PTEP 2020(8), 083C01 (2020). https://doi.org/10.1093/ ptep/ptaa104
  9. H. Schulz et al. Professor webiste. https://professor. hepforge.org
  10. B. Chris. The GENIE event library generator interface. Talk delivered at the NuSTEC Work- shop: New Directions in Neutrino-Nucleus Scattering, 15 March 2021. https://indico.phys.vt.edu/event/44/ contributions/901/
  11. C. Andreopoulos et al. The GENIE Neutrino Monte Carlo Generator: Physics and User Manual. arXiv:1510.05494 [hep-ph]
  12. P.A.N. Machado, O. Palamara, D.W. Schmitz, The short-baseline neutrino program at Fermilab. Ann. Rev. Nucl. Part. Sci. 69, 363-387 (2019). https://doi.org/10.1146/annurev-nucl-101917-020949. arXiv:1903.04608 [hep-ex]
  13. K. Abe et al. Hyper-Kamiokande Design Report. arXiv:1805.04163 [physics.ins-det]
  14. B. Abi et al., Deep Underground Neutrino Experi- ment (DUNE), Far Detector Technical Design Report, Volume I. Introduction to DUNE. JINST 15(08), T08008 (2020). https://doi.org/10.1088/1748-0221/ 15/08/T08008. arXiv:2002.02967 [physics.ins-det]
  15. A. Bodek, J.L. Ritchie, Fermi motion effects in deep inelastic lepton scattering from nuclear targets. Phys. Rev. D 23(5), 1070-1091 (1981). https://doi.org/10. 1103/PhysRevD.23.1070
  16. O. Hen et al., Nucleon-nucleon correlations, short- lived excitations, and the quarks within. Rev. Mod. Phys. 89(4), 045002 (2017). https://doi.org/10.1103/ RevModPhys.89.045002. arXiv:1611.09748 [nucl-ex]
  17. J. M. Nieves, J. E. Amaro, M. Valverde. "Inclu- sive quasi-elastic neutrino reactions". Phys. Rev. C 70(5) (2004). [Erratum: ibid. 72.1 (2005) p. 019902], p. 055503. https://doi.org/10.1103/PhysRevC. 70.055503, https://doi.org/10.1103/PhysRevC.72. 019902. arXiv:nucl-th/0408005
  18. K.S. Egiyan et al., Measurement of 2-and 3-nucleon short range correlation probabilities in nuclei. Phys. Rev. Lett. 96(8), 082501 (2006). https://doi.org/10. 1103/PhysRevLett.96.082501. arXiv:nucl-ex/0508026
  19. A. Papadopoulou et al., Inclusive electron scattering an the GENIE Neutrino Event Generator. Phys. Rev. D 103(11), 113003 (2021). arXiv:2009.07228 [nucl-th]
  20. R. Bradford et al., A new parameterization of the nucleon elastic form factors. Nucl. Phys. B (Proc. Suppl.) 159, 127-132 (2006). https://doi.org/10.1016/ j.nuclphysbps.2006.08.028. arXiv:hep-ex/0602017
  21. P.E. Bosted, M.E. Christy, Empirical fit to inelas- tic electron-deuteron and electron-neutron resonance region transverse cross-sections. Phys. Rev. C 77(6), 065206 (2008). https://doi.org/10.1103/PhysRevC.77. 065206. arXiv:0711.0159 [hep-ph]
  22. M.E. Christy, P.E. Bosted, Empirical fit to pre- cision inclusive electron-proton cross-sections in the resonance region. Phys. Rev. C 81(5), 055213 (2010). https://doi.org/10.1103/PhysRevC.81.055213. arXiv:0712.3731 [hep-ph]
  23. O. Lalakulich, U. Mosel, GiBUU and shallow inelastic scattering. AIP Conf. Proc. 1663(1), 040004 (2015). https://doi.org/10.1063/1.4919474. arXiv:1303.6677 [nucl-th]
  24. J. McElwee, "Is T2K missing energy? Searching the electron-scattering data archives for robust removal energy uncertainties". Proceedings of the 22nd International Workshop on Neutrinos from Accel- erators (NuFact 2021), Cagliari, Italy (and online), September 6-11, 2021. https://indico.cern.ch/event/ 855372/contributions/4436393/attachments/2305859/ 3922865/nufact-mcelwee.pdf
  25. J. Żmuda et al., NuWro Monte Carlo genera- tor of neutrino interactions -first electron scat- tering results. Acta Phys. Pol. B 46(11), 2329 (2015). https://doi.org/10.5506/APhysPolB.46.2329. arXiv:1510.03268 [hep-ph]
  26. T. Katori, Meson exchange current (MEC) mod- els in neutrino interaction generators. AIP Conf. Proc. 1663, 030001 (2015). https://doi.org/10.1063/ 1.4919465. arXiv:1304.6014 [nucl-th]
  27. M. Khachatryan, Validation of neutrino energy esti- mation using electron scattering data. PhD thesis. Old Dominion U., (2019). https://doi.org/10.2172/ 1768400. https://digitalcommons.odu.edu/physics_ etds/123
  28. A. Ashkenazy et al. Electrons For Neutrinos. Addressing Critical Neutrino-nucleus Issues A Run Group Proposal Resubmission to Jefferson Lab PAC 46. https://www.jlab.org/exp_prog/proposals/ 18/C12-17-006.pdf. C12-17-006
  29. D. Achim, Recent results from the Mainz Microtron MAMI and an outlook for the future. AIP Conf. Proc. 1735, 020006 (2016). https://doi.org/10.1063/ 1.4949374
  30. A.M. Ankowski et al., Lepton-nucleus cross section measurements for DUNE with the LDMX detector. Phys. Rev. D 101(5), 053004 (2020). https://doi. org/10.1103/PhysRevD.101.053004. arXiv:1912.06140 [hep-ph]
  31. C.H.L. Smith, Neutrino reactions at accelerator ener- gies. Phys. Rept. 3(5), 261-379 (1972). https://doi. org/10.1016/0370-1573(72)90010-5
  32. Eur. Phys. J. Spec. Top.
  33. J. Engel, Approximate treatment of lepton distortion in charged current neutrino scattering from nuclei. Phys. Rev. C 57(4), 2004-2009 (1998). https://doi.org/10. 1103/PhysRevC.57.2004. arXiv:nucl-th/9711045
  34. T. De Forest, Off-shell electron-nucleon cross sec- tions: The impulse approximation. Nucl. Phys. A 392(2), 232-248 (1983). https://doi.org/10.1016/ 0375-9474(83)90124-0
  35. A. Bodek, T. Cai, Removal energies and final state interaction in lepton nucleus scattering. Eur. Phys. J. C 79(4), 293 (2019). https://doi.org/10.1140/epjc/ s10052-019-6750-3. arXiv:1801.07975 [nucl-th]
  36. A.A. Aguilar-Arevalo et al., First measurement of the muon neutrino charged current quasielastic double dif- ferential cross section. Phys. Rev. D 81(9), 092005 (2010). https://doi.org/10.1103/PhysRevD.81.092005. arXiv:1002.2680 [hep-ex]
  37. P. Barreau et al., Deep inelastic electron scattering from Carbon. Nucl. Phys. A 402(3), 515-540 (1983). https://doi.org/10.1016/0375-9474(83)90217-8
  38. S. Dolan, G.D. Megias, S. Bolognesi, Implementa- tion of the SuSAv2-meson exchange current 1p1h and 2p2h models in GENIE and analysis of nuclear effects in T2K measurements. Phys. Rev. D 101(3), 033003 (2020). https://doi.org/10.1103/PhysRevD. 101.033003. arXiv:1905.08556 [hep-ex]
  39. R. González-Jiménez et al., Extensions of superscaling from relativistic mean field theory: the SuSAv2 model. Phys. Rev. C 90(3), 035501 (2014). https://doi.org/10. 1103/PhysRevC.90.035501. arXiv:1407.8346 [nucl-th]
  40. J.M. Nieves, I.R. Simo, M.J.V. Vacas, Inclusive charged-current neutrino-nucleus reactions. Phys. Rev. C 83(4), 045501 (2011). https://doi.org/10.1103/ PhysRevC.83.045501. arXiv:1102.2777 [hep-ph]
  41. R. Gran et al., Neutrino-nucleus quasi-elastic and 2p2h interactions up to 10 GeV. Phys. Rev. D 88(11), 113007 (2013). https://doi.org/10.1103/PhysRevD.88. 113007. arXiv:1307.8105 [hep-ph]
  42. I.R. Simo et al., Emission of neutron-proton and proton-proton pairs in neutrino scattering. Phys. Lett. B 762, 124-130 (2016). https://doi.org/10.1016/j. physletb.2016.09.021. arXiv:1607.08451 [nucl-th]
  43. I.R. Simo et al., Relativistic model of 2p-2h meson exchange currents in (anti)neutrino scattering. J. Phys. G 44(6), 065105 (2017). https://doi.org/10. 1088/1361-6471/aa6a06. arXiv:1604.08423 [nucl-th]
  44. J. Schwehr, D. Cherdack, R. Gran. GENIE imple- mentation of IFIC Valencia model for QE-like 2p2h neutrino-nucleus cross section. arXiv:1601.02038 [hep- ph]
  45. R. Acciarri et al., Detection of back-to-back proton pairs in charged-current neutrino interactions with the ArgoNeuT detector in the NuMI low energy beam line. Phys. Rev. D 90(1), 012008 (2014). https://doi.org/10. 1103/PhysRevD.90.012008. arXiv:1405.4261 [hep-ex]
  46. F. Ravndal, Weak production of nuclear resonances in a relativistic quark model. Nuovo Cim. 18 A(3), 385- 415 (1973). https://doi.org/10.1007/BF02722789
  47. D. Rein, L.M. Sehgal, Neutrino-excitation of baryon resonances and single pion production. Ann. Phys. 133(10), 79-153 (1981). https://doi.org/10.1016/ 0003-4916(81)90242-6
  48. E.A. Paschos, J.-Y. Yu, Neutrino interactions in oscillation experiments. Phys. Rev. D 65(3), 033002 (2002). https://doi.org/10.1103/PhysRevD.65.033002. arXiv:hep-ph/0107261
  49. A. Bodek, I. Park, U. Yang, Improved low Q 2 model for neutrino and electron nucleon cross sec- tions in few GeV region. Nucl. Phys. B (Proc. Suppl.) 139, 113-118 (2005). https://doi.org/10.1016/ j.nuclphysbps.2004.11.208. arXiv:hep-ph/0411202
  50. A. Bodek, U. Yang, NUFACT09 update to the Bodek- Yang unified model for electron-and neutrino-nucleon scattering cross sections. AIP Conf. Proc. 1222, 233- 237 (2010). https://doi.org/10.1063/1.3399303
  51. K.S. Kuzmin, V.V. Lyubushkin, V.A. Naumov, Lepton polarization in neutrino nucleon interac- tions. Mod. Phys. Lett. A 19(38), 2815-2829 (2004). https://doi.org/10.1142/S0217732304016172. arXiv:hep-ph/0312107
  52. K.S. Kuzmin, V.V. Lyubushkin, V.A. Naumov, Extended Rein-Sehgal model for tau lepton pro- duction. Nucl. Phys. B (Proc. Suppl.) 139, 158-161 (2005). https://doi.org/10.1016/j.nuclphysbps.2004. 11.213. arXiv:hep-ph/0408106
  53. Ch. Berger, L. M. Sehgal, Lepton mass effects in single pion production by neutrinos. Phys. Rev. D 76(11) (2007). [Erratum: ibid. 77.5 (2008) p. 059901], p. 113004. https://doi.org/10.1103/PhysRevD.
  54. 113004. https://doi.org/10.1103/PhysRevD.77. 059901. arXiv:0709.4378 [hep-ph]
  55. K. M. Graczyk, J. T. Sobczyk, Form factors in the quark resonance model. Phys. Rev. D 77(5) (2008). [Erratum: ibid. 79.7 (2008) p. 079903], p. 053001. https://doi.org/10.1103/PhysRevD. 77.053001, https://doi.org/10.1103/PhysRevD.79. 079903. arXiv:0707.3561 [hep-ph]
  56. J.A. Nowak, Four momentum transfer discrepancy in the charged current π + production in the Mini- BooNE: Data vs. theory. AIP Conf. Proc. 1189, 243-248 (2009). https://doi.org/10.1063/1.3274164. arXiv:0909.3659 [hep-ph]
  57. K.S. Kuzmin, V.V. Lyubushkin, V.A. Naumov, Axial masses in quasielastic neutrino scattering and single- pion neutrinoproduction on nucleons and nuclei. Acta Phys. Polon. B 37(8), 2337-2348 (2006). arXiv:hep-ph/0606184
  58. M. S. Alam et al. GENIE Production Release 2.10.0. arXiv:1512.06882 [hep-ph]
  59. M. Kabirnezhad, Single pion production in neutrino- nucleon interactions. Phys. Rev. D 97(1), 013002 (2018). https://doi.org/10.1103/PhysRevD.97.013002. arXiv:1711.02403 [hep-ph]
  60. M. Kabirnezhad, Improvement of single pion produc- tion for T2K experiment simulation tools (update). PhD thesis. National Center for Nuclear Research, Otwock, Świerk, Poland (2020)
  61. M. Kabirnezhad, Single pion production in neutrino- nucleon interaction. JPS Conf. Proc. 12, 010043 (2016). https://doi.org/10.7566/JPSCP.12.010043
  62. M. Kabirnezhad, Single pion production in neutrino reactions. J. Phys: Conf. Ser. 888(1), 012122 (2017). https://doi.org/10.1088/1742-6596/888/1/012122
  63. D. Rein, Angular distribution in neutrino induced sin- gle pion production processes. Z. Phys. C 35(1), 43-64 (1987). https://doi.org/10.1007/BF01561054
  64. J. Campbell et al., Study of the reaction νp → μ -pπ + . Phys. Rev. Lett. 30(8), 335-339 (1973). https://doi. org/10.1103/PhysRevLett.30.335
  65. S.J. Barish et al., Study of neutrino interactions in hydrogen and deuterium. II. Inelastic charged-current reactions. Phys. Rev. D 19(9), 2521-2542 (1979). https://doi.org/10.1103/PhysRevD.19.2521
  66. G. M. Radecky et al., Study of single-pion production by weak charged currents in low-energy νd interac- tions. Phys. Rev. D /bf 25(5) (1982). [Erratum: ibid. 26.11 (1982) p. 3297], pp. 1161-1173. https://doi.org/ 10.1103/PhysRevD.25.1161. https://doi.org/10.1103/ PhysRevD.26.3297
  67. T. Kitagaki et al., Charged current exclusive pion pro- duction in neutrino deuterium interactions. Phys. Rev. D 34(9), 2554-2565 (1986). https://doi.org/10.1103/ PhysRevD.34.2554
  68. J. Bell et al., Study of the reaction νp → μ -Δ ++ at high energies and comparisons with theory. Phys. Rev. Lett. 41(15), 1012-1015 (1978). https://doi.org/ 10.1103/PhysRevLett.41.1012
  69. J. Bell et al., Cross-section measurements for the reac- tions νp → μ -pπ + and νp → μ -pK + at high energies. Phys. Rev. Lett. 41(15), 1008-1011 (1978). https:// doi.org/10.1103/PhysRevLett.41.1008
  70. D. Allasia et al., Single pion production in charged cur- rent νD interactions at high energies. Z. Phys. C 20(2), 95-100 (1983). https://doi.org/10.1007/BF01573212
  71. S. J. M. Barlag, Quasielastic interactions and one pion production by neutrinos and antineutrinos on a deu- terium target. PhD thesis, Amsterdam (1984)
  72. P.M. Allen et al., A study of single-meson production in neutrino and antineutrino charged-current interactions on protons. Nucl. Phys. B 264(2-3), 221-242 (1986). https://doi.org/10.1016/0550-3213(86)90480-3
  73. D. Allasia et al., Investigation of exclusive channels in ν/ν-deuteron charged current interactions. Nucl. Phys. B 343(2), 285-309 (1990). https://doi.org/10. 1016/0550-3213(90)90472-P
  74. P. Rodrigues, C. Wilkinson, K. McFarland, Constrain- ing the GENIE model of neutrino-induced single pion production using reanalyzed bubble chamber data. Eur. Phys. J. C 76(8), 474 (2016). https://doi.org/10. 1140/epjc/s10052-016-4314-3. arXiv:1601.01888 [hep- ex]
  75. E. A. Hawker, Single pion production in low energy neutrino-carbon. Proceedings of the 2nd International Workshop on Neutrino-Nucleus Interactions in the Few GeV Region (NuInt 2002), Irvine, California, USA, December 12-15, 2002. (2003)
  76. E. Wang et al., Photon emission in neutral cur- rent interactions at the T2K experiment. Phys. Rev. D 92(5), 053005 (2015). https://doi.org/10.1103/ PhysRevD.92.053005. arXiv:1507.02446 [hep-ph]
  77. K. Abe et al., Measurement of neutrino and antineu- trino oscillations by the T2K experiment including a new additional sample of νe interactions at the far detector. Phys. Rev. D 96(9) (2017). [Erratum: ibid. 98.1 (2018) p. 019902], p. 092006. https://doi. org/10.1103/PhysRevD.96.092006. https://doi.org/10. 1103/PhysRevD.98.019902. arXiv:1707.01048 [hep-ex]
  78. P. AN Machado, O. Palamara, D.W. Schmitz, The short-baseline neutrino program at Fermilab. Ann. Rev. Nucl. Part. Sci. 69, 363-387 (2019). https://doi.org/10.1146/annurev-nucl-101917-020949. arXiv:1903.04608 [hep-ex]
  79. E. Wang, L. Alvarez-Ruso, J.M. Nieves, Photon emission in neutral current interactions at inter- mediate energies. Phys. Rev. C 89(1), 015503 (2014). https://doi.org/10.1103/PhysRevC.89.015503. arXiv:1311.2151 [nucl-th]
  80. E. Saúl Sala, Open problems in the Physics of Neu- trino Interactions with Nucleons and Nuclei. PhD the- sis.
  81. Universidad de Valencia (2021). https://ific.uv.es/ nucth/Thesis_Saul_Sala.pdf
  82. H. De Vries, C.W. De Jager, C.P. De Vries, Nuclear charge and magnetization density distribution param- eters from elastic electron scattering. Atom. Data Nucl. Data Tabl. 36(3), 495-536 (1987). https://doi.org/10. 1016/0092-640X(87)90013-1
  83. J. Cugnon et al., Processes involving few degrees of freedom in the frame of intranuclear cascade approaches. Eur. Phys. J. Plus 131(5), 169 (2016). https://doi.org/10.1140/epjp/i2016-16169-4
  84. S. Dytman et al., Comparison of validation methods of simulations for final state interactions in hadron pro- duction experiments. arXiv:2103.07535 [hep-ph]
  85. L.L. Salcedo et al., Computer simulation of inclusive pion nuclear reactions. Nucl. Phys. A 484(3-4), 557-592 (1988). https://doi.org/10.1016/ 0375-9474(88)90310-7
  86. V.R. Pandharipande, S.C. Pieper, Nuclear trans- parency to intermediateenergy nucleons from (e, e p) reactions. Phys. Rev. C 45(2), 791-798 (1992). https:// doi.org/10.1103/PhysRevC.45.791
  87. E.S. Pinzon Guerra et al., Using world charged π ± -nucleus scattering data to constrain an intranu- clear cascade model. Phys. Rev. D 99(5), 052007 (2019). https://doi.org/10.1103/PhysRevD.99.052007. arXiv:1812.06912 [hep-ex]
  88. M.G. Aartsen et al., First observation of PeV-energy neutrinos with IceCube. Phys. Rev. Lett. 111(2), 021103 (2013). https://doi.org/10.1103/PhysRevLett. 111.021103. arXiv:1304.5356 [astro-ph.HE]
  89. M.G. Aartsen et al., Evidence for high-energy extrater- restrial neutrinos at the IceCube Detector. Science 342(6161), 1242856 (2013). https://doi.org/10.1126/ science.1242856. arXiv:1311.5238 [astro-ph.HE]
  90. M.G. Aartsen et al., Observation of high-energy astrophysical neutrinos in three years of IceCube Data. Phys. Rev. Lett. 113(10), 101101 (2014). https://doi.org/10.1103/PhysRevLett.113.101101. arXiv:1405.5303 [astro-ph.HE]
  91. H. Abreu et al., Technical Proposal: FASERν. arXiv:2001.03073 [physics.ins-det]
  92. S. Alekhin et al., A facility to search for hidden parti- cles at the CERN SPS: the SHiP physics case. Rept. Progr. Phys. 79(12), 124201 (2016). https://doi.org/ 10.1088/0034-4885/79/12/124201. arXiv:1504.04855 [hep-ph]
  93. A. Garcia et al., Complete predictions for high- energy neutrino propagation in matter. JCAP 2020, 025 (2009). https://doi.org/10.1088/1475-7516/2020/ 09/025. arXiv:2004.04756 [hep-ph]
  94. V. Bertone, S. Carrazza, J. Rojo, APFEL: a PDF evo- lution library with QED corrections. Comput. Phys. Commun. 185(6), 1647-1668 (2014). https://doi.org/ 10.1016/j.cpc.2014.03.007. arXiv:1310.1394 [hep-ph]
  95. V. Bertone, R. Gauld, J. Rojo, Neutrino telescopes as QCD microscopes. JHEP 01, 217 (2019). https:// doi.org/10.1007/JHEP01(2019)217. arXiv:1808.02034 [hep-ph]
  96. R.D. Ball et al., Parton distributions with small- x resummation: evidence for BFKL dynamics in HERA data. Eur. Phys. J. C 78(4), 321 (2018). https://doi.org/10.1140/epjc/s10052-018-5774-4. arXiv:1710.05935 [hep-ph]
  97. R. Aaij et al., Prompt charm production in pp col- lisions at √ s = 7 TeV. Nucl. Phys. B 871(1), 1- 20 (2013). https://doi.org/10.1016/j.nuclphysb.2013. 02.010. arXiv:1302.2864 [hep-ex]
  98. R. Aaij et al., Measurements of prompt charm pro- duction cross-sections in pp collisions at √ s = 13
  99. TeV. JHEP 03 (2016). [Erratum: ibid. 09 (2016) p. 013, ibid. 05 (2017) p. 074], p. 159. https://doi. org/10.1007/JHEP03(2016)159, https://doi.org/10. 1007/JHEP09(2016)013, https://doi.org/10.1007/ JHEP05(2017)074. arXiv:1510.01707 [hep-ex]
  100. R. Aaij et al., Measurements of prompt charm pro- duction cross-sections in pp collisions at √ s = 5
  101. TeV. JHEP 06, 147 (2017). https://doi.org/10.1007/ JHEP06(2017)147. arXiv:1610.02230 [hep-ex]
  102. S. Forte et al., Heavy quarks in deep-inelastic scat- tering. Nucl. Phys. B 834(1-2), 116-162 (2010). https://doi.org/10.1016/j.nuclphysb.2010.03.014. arXiv:1001.2312 [hep-ph]
  103. A. Cooper-Sarkar, P. Mertsch, S. Sarkar, The high energy neutrino cross-section in the Standard Model and its uncertainty. JHEP 08, 042 (2011). https://doi. org/10.1007/JHEP08(2011)042. arXiv:1106.3723 [hep- ph]
  104. G. Ingelman, A. Edin, J. Rathsman, LEPTO 6.5: A Monte Carlo generator for deep inelastic lepton-nucleon scattering. Comput. Phys. Commun. 101(1-2), 108-134 (1997). https://doi.org/10.1016/ S0010-4655(96)00157-9. arXiv:hep-ph/9605286
  105. M.M. Tzanov et al., Precise measurement of neu- trino and anti-neutrino differential cross sections. Phys. Rev. D 74(1), 012008 (2006). https://doi.org/10.1103/ PhysRevD.74.012008. arXiv:hep-ex/0509010
  106. R. U. Abbasi et al., Measurement of the high-energy all-flavor neutrino-nucleon cross section with IceCube. Phys. Rev. D 104, 2 (2021). arXiv:2011.03560 [hep-ex]
  107. D.Z. Freedman, Coherent neutrino nucleus scattering as a probe of the weak neutral current. Phys. Rev. D 9(5), 1389-1392 (1974). https://doi.org/10.1103/ PhysRevD.9.1389
  108. D. Akimov et al., Observation of coherent elastic neutrino-nucleus scattering. Science 357(6356), 1123- 1126 (2017). https://doi.org/10.1126/science.aao0990. arXiv:1708.01294 [nucl-ex]
  109. D. Akimov et al., First measurement of coherent elas- tic neutrino-nucleus scattering on Argon. Phys. Rev. Lett. 126(1), 012002 (2021). https://doi.org/10.1103/ PhysRevLett.126.012002. arXiv:2003.10630 [nucl-ex]
  110. E. Ciuffoli et al., Extracting nuclear form factors with coherent neutrino scattering. Phys. Rev. D 97(11), 113003 (2018). https://doi.org/10.1103/PhysRevD.97. 113003. arXiv:1801.02166 [physics.ins-det]
  111. N. Van Dessel et al., Nuclear structure physics in coherent elastic neutrino-nucleus scattering. arXiv:2007.03658 [nucl-th]
  112. J. Billard, J. Johnston, B.J. Kavanagh, Prospects for exploring new physics in coherent elastic neutrino-nucleus scattering. JCAP 2018, 016 (1811). https://doi.org/10.1088/1475-7516/2018/11/ 016. arXiv:1805.01798 [hep-ph]
  113. M. Bowen, P. Huber, Reactor neutrino applications and coherent elastic neutrino nucleus scattering. Phys. Rev. D 102(5), 053008 (2020). https://doi.org/10.1103/ PhysRevD.102.053008. arXiv:2005.10907 [physics.ins- det]
  114. S. Gardiner, Simulating low-energy neutrino interac- tions with MARLEY. arXiv:2101.11867 [nucl-th]
  115. K. Patton et al., Neutrino-nucleus coherent scatter- ing as a probe of neutron density distributions. Phys. Rev. C 86(2), 024612 (2012). https://doi.org/10.1103/ PhysRevC.86.024612. arXiv:1207.0693 [nucl-th]
  116. J. Tena-Vidal et al., AGKY Hadronization Model Tun- ing in GENIE v3. arXiv:2106.05884 [hep-ph]
  117. P. V. Abratenko et al., Measurement of differen- tial cross sections for νμ-Ar charged-current interac- tions with protons and no pions in the final state with the MicroBooNE detector. Phys. Rev. D 102.11 (2020), p. 112013. https://doi.org/10.1103/PhysRevD. 102.112013. arXiv:2010.02390 [hep-ex]. 30 Will be inserted by the editor
  118. T.T. Le et al., Measurement of νμ charged-current single π -production on hydrocarbon in the few- GeV region using MINERνA. Phys. Rev. D 100(5), 052008 (2019). https://doi.org/10.1103/PhysRevD. 100.052008. arXiv:1906.08300 [hep-ex]
  119. J. Berger, A module for boosted dark matter event generation in GENIE. arXiv:1812.05616 [hep-ph]
  120. E. Bertuzzo et al., Dark Neutrino Portal to explain MiniBooNE excess. Phys. Rev. Lett. 121(24), 241801 (2018). https://doi.org/10.1103/PhysRevLett. 121.241801. arXiv:1807.09877 [hep-ph]
  121. M. Roda, I. de Icaza. Dark neutrino kinematics. GENIE docDB #206. https://genie-docdb.pp.rl.ac. uk/DocDB/0002/000206/002/Dark_Neutrino.pdf

Related papers

Neutrino-Nucleon Cross-Section Model Tuning in GENIE v3
Costas Andreopoulos

2021

We summarise the results of a study performed within the GENIE global analysis framework, revisiting the GENIE bare-nucleon cross-section tuning and, in particular, the tuning of a) the inclusive cross-section, b) the cross-section of low-multiplicity inelastic channels (single-pion and double-pion production), and c) the relative contributions of resonance and non-resonance processes to these final states. The same analysis was performed with several different comprehensive cross-section model sets available in GENIE Generator v3. In this work we performed a careful investigation of the observed tensions between exclusive and inclusive data, and installed analysis improvements to handle systematics in historic data. All tuned model configurations discussed in this paper are available through public releases of the GENIE Generator. With this paper we aim to support the consumers of these physics tunes by providing comprehensive summaries of our alternate model constructions, of the relevant datasets and their systematics, and of our tuning procedure and results.

View PDFchevron_right
PRELIMINARY RESULTS OF NEUTRINO INTERACTIONS STUDY USING GENIE EVENT GENERATOR *
Alexandru Jipa

With the advent of intense accelerator-based sources of neutrinos and the demand of neutrino oscillation experiments to more precisely determine signal and background rates in their detectors has precipitated a resurged interest for neutrino interactions in the few-GeV energy range. Such measurements have not been updated for decades, having first been measured in bubble and spark chamber experiments. New measurements are sorely needed and yield important constraints for present and future neutrino oscillation experiments operating in this energy range. In the present contribution, we studied neutrino interactions in the few-GeV energy range. We used GENIE, a new neutrino Monte Carlo generator, to generate events and compute the cross sections for neutrino-nucleus interactions. Events are generated for particular user-defined situation: neutrinos scattered off a fix nuclear target (40 Ar nucleus). We present the obtained results, after we analyzed the event samples, on relevant dist...

View PDFchevron_right
Neutrino-nucleus CC0$\pi$ cross-section tuning in GENIE v3
Júlia Vidal

HAL (Le Centre pour la Communication Scientifique Directe), 2022

This article summarizes the state of the art of νµ and νµ CC0π cross-section measurements on carbon and argon and discusses the relevant nuclear models, parametrizations and uncertainties in GENIE v3. The CC0π event topology is common in experiments at a few-GeV energy range. Although its main contribution comes from quasi-elastic interactions, this topology is still not well understood. The GENIE global analysis framework is exploited to analyze CC0π datasets from MiniBooNE, T2K and MINERνA. A partial tune for each experiment is performed, providing a common base for the discussion of tensions between datasets. The results offer an improved description of nuclear CC0π datasets as well as data-driven uncertainties for each experiment. This work is a step towards a GENIE global tune that improves our understanding of neutrino interactions on nuclei. It follows from earlier GENIE work on the analysis of neutrino scattering datasets on hydrogen and deuterium.

View PDFchevron_right
The GENIE neutrino Monte Carlo generator
Pauli Kehayias

Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 2010

GENIE [1] is a new neutrino event generator for the experimental neutrino physics community. The goal of the project is to develop a 'canonical' neutrino interaction physics Monte Carlo whose validity extends to all nuclear targets and neutrino flavors from MeV to PeV energy scales. Currently, emphasis is on the few-GeV energy range, the challenging boundary between the non-perturbative and perturbative regimes, which is relevant for the current and near future long-baseline precision neutrino experiments using accelerator-made beams. The design of the package addresses many challenges unique to neutrino simulations and supports the full life-cycle of simulation and generator-related analysis tasks.

View PDFchevron_right
High-energy Neutrino Event Simulation at NLO in Genie for KM3NeT and Other Observatories
ALFONSO EMILIO CASTRO GARCIA

Proceedings of 36th International Cosmic Ray Conference — PoS(ICRC2019), 2019

High-energy neutrino astronomy is a key pillar of multi-messenger astronomy and has the potential to also advance fundamental neutrino physics. An accurate simulation of the neutrino interactions is key in any analysis of neutrino telescope data. The currently available generator codes of neutrino interactions use leading order expressions for the differential cross sections which govern rate and kinematics of the events. These calculations are affected by well-known large theoretical uncertainties, hence the need of beyond leading order formalism. Also, a consistent use of modern Parton Density Functions, which are derived using NLO (or NNLO) frameworks, is required. For this reason and others, the GENIE event generator of neutrino interactions, which is a standard tool in the few-GeV energy regime, has so far been stated to be valid up to only about 1 TeV. The work reported here consists of a high-energy (up to 10 10 GeV) extension, which will be available in GENIEv4. It interfaces PYTHIA6 for the hadronization and employs a pragmatic method to assign the flavour of the struck and outgoing quarks, so that the heavy quark production, including bottom and top, is also correctly simulated.

View PDFchevron_right

Cited by

Running axial mass of the nucleon as a phenomenological tool for calculating quasielastic neutrino–nucleus cross sections
Vadim Naumov

The European Physical Journal C, 2021

We suggest an empirical rule-of-thumb for calculating the cross sections of charged-current quasielastic (CCQE) and CCQE-like interactions of neutrinos and antineutrinos with nuclei. The approach is based on the standard relativistic Fermi-gas model and on the notion of neutrino energy dependent axial-vector mass of the nucleon, governed by a couple of adjustable parameters, one of which is the conventional charged-current axial-vector mass. The inelastic background contributions and final-state interactions are therewith simulated using GENIE 3 neutrino event generator. An extensive comparison of our calculations with earlier and current accelerator CCQE and CCQE-like data for different nuclear targets shows good or at least qualitative overall agreement over a wide energy range. We also discuss some problematical issues common to several competing contemporary models of the CCQE (anti)neutrino–nucleus scattering and to the current neutrino interaction generators.

View PDFchevron_right
Measurement of inclusive charged-current νμ scattering on hydrocarbon at ⟨Eν⟩∼6  GeV with low three-momentum transfer
Carlos Javier Solano Salinas

Physical Review D

View PDFchevron_right
Search for an anomalous excess of inclusive charged-current νe interactions in the MicroBooNE experiment using Wire-Cell reconstruction
P. Spentzouris

Physical Review D

View PDFchevron_right
The Forward Physics Facility at the High-Luminosity LHC
Barbara Yaeggy

Journal of Physics G: Nuclear and Particle Physics

High energy collisions at the High-Luminosity Large Hadron Collider (LHC) produce a large number of particles along the beam collision axis, outside of the acceptance of existing LHC experiments. The proposed Forward Physics Facility (FPF), to be located several hundred meters from the ATLAS interaction point and shielded by concrete and rock, will host a suite of experiments to probe standard model (SM) processes and search for physics beyond the standard model (BSM). In this report, we review the status of the civil engineering plans and the experiments to explore the diverse physics signals that can be uniquely probed in the forward region. FPF experiments will be sensitive to a broad range of BSM physics through searches for new particle scattering or decay signatures and deviations from SM expectations in high statistics analyses with TeV neutrinos in this low-background environment. High statistics neutrino detection will also provide valuable data for fundamental topics in pe...

View PDFchevron_right
First Measurement of Energy-Dependent Inclusive Muon Neutrino Charged-Current Cross Sections on Argon with the MicroBooNE Detector
T. Mohayai

Physical Review Letters

View PDFchevron_right
580 California St., Suite 400
San Francisco, CA, 94104
© 2025 Academia. All rights reserved