Pith. sign in

REVIEW 1 cited by

Comparison of νμ-Ar multiplicity distributions observed by MicroBooNE to GENIE model predictions

Not yet reviewed by Pith; the record is open.

Re-run · record.json Download PDF Read on arXiv ↗

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 1805.06887 v3 pith:6ERBUILX submitted 2018-05-17 hep-ex physics.ins-det

Comparison of νμ-Ar multiplicity distributions observed by MicroBooNE to GENIE model predictions

C. Adams , R. An , J. Anthony , J. Asaadi , M. Auger , S. Balasubramanian , B. Baller , C. Barnes
show 157 more authors
G. Barr M. Bass F. Bay A. Bhat K. Bhattacharya M. Bishai A. Blake T. Bolton L. Camilleri D. Caratelli R. Castillo Fernandez F. Cavanna G. Cerati H. Chen Y. Chen E. Church D. Cianci E. Cohen G. H. Collin J. M. Conrad M. Convery L. Cooper-Troendle J. I. Crespo-Anadon M. Del Tutto D. Devitt A. Diaz S. Dytman B. Eberly A. Ereditato L. Escudero Sanchez J. Esquivel J. J Evans A. A. Fadeeva B. T. Fleming W. Foreman A. P. Furmanski D. Garcia-Gamez G. T. Garvey V. Genty D. Goeldi S. Gollapinni E. Gramellini H. Greenlee R. Grosso R. Guenette P. Guzowski A. Hackenburg P. Hamilton O. Hen V Hewes C. Hill J. Ho G. A. Horton-Smith A. Hourlier E.-C. Huang C. James J. Jan de Vries L. Jiang R. A. Johnson J. Joshi H. Jostlein Y.-J. Jwa D. Kaleko G. Karagiorgi W. Ketchum B. Kirby M. Kirby T. Kobilarcik I. Kreslo Y. Li A. Lister B. R. Littlejohn S. Lockwitz D. Lorca W. C. Louis M. Luethi B. Lundberg X. Luo A. Marchionni S. Marcocci C. Mariani J. Marshall D. A. Martinez Caicedo A. Mastbaum V. Meddage T. Mettler T. Miceli G. B. Mills A. Mogan J. Moon M. Mooney C. D. Moore J. Mousseau M. Murphy R. Murrells D. Naples P. Nienaber J. Nowak O. Palamara V. Pandey V. Paolone A. Papadopoulou V. Papavassiliou S. F. Pate Z. Pavlovic E. Piasetzky D. Porzio G. Pulliam X. Qian J. L. Raaf A. Rafique L. Rochester M. Ross-Lonergan C. Rudolf von Rohr B. Russell D. W. Schmitz A. Schukraft W. Seligman M. H. Shaevitz J. Sinclair A. Smith E. L. Snider M. Soderberg S. Soldner-Rembold S. R. Soleti P. Spentzouris J. Spitz J. St. John T. Strauss K. Sutton S. Sword-Fehlberg A. M. Szelc N. Tagg W. Tang K. Terao M. Thomson M. Toups Y.-T. Tsai S. Tufanli T. Usher W. Van De Pontseele R. G. Van de Water B. Viren M. Weber H. Wei D. A. Wickremasinghe K. Wierman Z. Williams S. Wolbers T. Wongjirad K. Woodruff T. Yang G. Yarbrough L. E. Yates G. P. Zeller J. Zennamo C. Zhang
This is my paper
classification hep-ex physics.ins-det
keywords neutrinogeniemicrobooneargonchargeddatadistributionsevent
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
0 comments
read the original abstract

We measure a large set of observables in inclusive charged current muon neutrino scattering on argon with the MicroBooNE liquid argon time projection chamber operating at Fermilab. We evaluate three neutrino interaction models based on the widely used GENIE event generator using these observables. The measurement uses a data set consisting of neutrino interactions with a final state muon candidate fully contained within the MicroBooNE detector. These data were collected in 2016 with the Fermilab Booster Neutrino Beam, which has an average neutrino energy of 800 MeV, using an exposure corresponding to 5E19 protons-on-target. The analysis employs fully automatic event selection and charged particle track reconstruction and uses a data-driven technique to separate neutrino interactions from cosmic ray background events. We find that GENIE models consistently describe the shapes of a large number of kinematic distributions for fixed observed multiplicity.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Neutron Reconstruction via Blips in Liquid Argon Time Projection Chambers

    hep-ex 2026-04 unverdicted novelty 6.0

    Simulation-based proof-of-concept demonstrates neutron identification and reconstruction of direction and energy using blips from inelastic scattering in LArTPCs.