Measurement of the kaon production normalization in the NuMI target using uncontained charged-current muon neutrino interactions in the NOvA Far Detector
TLDR
In this paper, a measurement of the kaon production normalization scale using uncontained charged-current muon neutrinos at the Far Detector was carried out, where the neutrino beam is not pure in flavor, it contains an admixture of other different n eutrino flavors that become a source of background.Abstract:
aNOvA is a long-baseline neutrino oscillation experiment that uses the NuMI beam from Fermilab. Its physics goals include providing constraints to the neutrino mass hierarchy and the CP-violating phase $\delta$ by precision measurements of the electron (anti)neutrino appearance in a muon (anti)neutrino beam. Similarly, new limits on the values of $\sin^2{\theta_{23}}$ and $\Delta m^{2}_{32}$ will be achieved by measurements of the muon (anti)neutrino disappearance probabilities. A combined analysis measurement will allow a better resolution of the $\theta_{23}$ octant. The NuMI beam is produced by the collision of high energy protons into a target, giving rise to kaon and pion mesons that decay to neutrinos of a specific flavor. This thesis presents a measurement of the kaon production normalization scale using uncontained charged-current muon neutrinos at the Far Detector. Because the neutrino beam is not pure in flavor, it contains an admixture of other different n eutrino flavors that become a source of background. %in oscillation analysis. Therefore, it is of paramount importance for accelerator experiments, such as NOvA, to have a reliable flux prediction of the neutrino beam in order to achieve its physics goals. One method to constrain the flux is to constrain and measure each flux component independently. The kaon component contributes to the intrinsic $\nu_{e}$ contamination of the beam, a key background for the $\nu_{e}$-appearance analysis. We observed that the uncontained sample in the 10-20 GeV region corresponds to the kaon component of the NuMI beam at the Far Detector. We also found a 60-80\% correlation between the Near Detector $\nu_{e}$ background and the Far Detector $\nu_{\mu}$ uncontained signal. The data used for this analysis was collected from October 2014 to February 2017, corresponding to $7.99 \times 10^{20}$ protons-on-target (POT). The ratio between the Far Detector data and the simulation is fitted to a lin e in the 10-20 GeV energy region. Calibration, energy scale,! final state interactions and neutrino flux (e.g. beam transport and hadron production shape only) systematic uncertainties are considered. The kaon production normalization scale is measured to be $S_{K} = 1.07 \pm 0.16$.read more
Citations
More filters
Journal Article
Measurement of atmospheric neutrino oscillation parameters by Super-Kamiokande I
Constraints on Oscillation Parameters from ν_e Appearance and ν_μ Disappearance in NOvA
TL;DR: Combining the latest NOvA ν_{μ} disappearance data and external constraints from reactor experiments on sin^{2}2θ_{13}, the hypothesis of inverted mass hierarchy with θ_{23} in the lower octant is disfavored at greater than 93% C.L. for all values of δ_{CP}.
ReportDOI
Constraints on neutrino oscillation parameters with the NOvA experiment
TL;DR: In this paper, the authors present a joint analysis of neutrino oscillation data with an exposure of 8.85× 1020 protons on target on the 14 kton detector.
References
More filters
Journal ArticleDOI
Geant4—a simulation toolkit
S. Agostinelli,John Allison,K. Amako,J. Apostolakis,Henrique Araujo,P. Arce,Makoto Asai,D. Axen,S. Banerjee,G. Barrand,F. Behner,Lorenzo Bellagamba,J. Boudreau,L. Broglia,A. Brunengo,H. Burkhardt,Stephane Chauvie,J. Chuma,R. Chytracek,Gene Cooperman,G. Cosmo,P. V. Degtyarenko,Andrea Dell'Acqua,G. Depaola,D. Dietrich,R. Enami,A. Feliciello,C. Ferguson,H. Fesefeldt,Gunter Folger,Franca Foppiano,Alessandra Forti,S. Garelli,S. Gianì,R. Giannitrapani,D. Gibin,J. J. Gomez Y Cadenas,I. González,G. Gracia Abril,G. Greeniaus,Walter Greiner,Vladimir Grichine,A. Grossheim,Susanna Guatelli,P. Gumplinger,R. Hamatsu,K. Hashimoto,H. Hasui,A. Heikkinen,A. S. Howard,Vladimir Ivanchenko,A. Johnson,F.W. Jones,J. Kallenbach,Naoko Kanaya,M. Kawabata,Y. Kawabata,M. Kawaguti,S.R. Kelner,Paul R. C. Kent,A. Kimura,T. Kodama,R. P. Kokoulin,M. Kossov,Hisaya Kurashige,E. Lamanna,Tapio Lampén,V. Lara,Veronique Lefebure,F. Lei,M. Liendl,W. S. Lockman,Francesco Longo,S. Magni,M. Maire,E. Medernach,K. Minamimoto,P. Mora de Freitas,Yoshiyuki Morita,K. Murakami,M. Nagamatu,R. Nartallo,Petteri Nieminen,T. Nishimura,K. Ohtsubo,M. Okamura,S. W. O'Neale,Y. Oohata,K. Paech,J Perl,Andreas Pfeiffer,Maria Grazia Pia,F. Ranjard,A.M. Rybin,S.S Sadilov,E. Di Salvo,Giovanni Santin,Takashi Sasaki,N. Savvas,Y. Sawada,Stefan Scherer,S. Sei,V. Sirotenko,David J. Smith,N. Starkov,H. Stoecker,J. Sulkimo,M. Takahata,Satoshi Tanaka,E. Tcherniaev,E. Safai Tehrani,M. Tropeano,P. Truscott,H. Uno,L. Urbán,P. Urban,M. Verderi,A. Walkden,W. Wander,H. Weber,J.P. Wellisch,Torre Wenaus,D.C. Williams,Douglas Wright,T. Yamada,H. Yoshida,D. Zschiesche +126 more
TL;DR: The Gelfant 4 toolkit as discussed by the authors is a toolkit for simulating the passage of particles through matter, including a complete range of functionality including tracking, geometry, physics models and hits.
Journal ArticleDOI
Greedy function approximation: A gradient boosting machine.
TL;DR: A general gradient descent boosting paradigm is developed for additive expansions based on any fitting criterion, and specific algorithms are presented for least-squares, least absolute deviation, and Huber-M loss functions for regression, and multiclass logistic likelihood for classification.
Proceedings Article
A density-based algorithm for discovering clusters a density-based algorithm for discovering clusters in large spatial databases with noise
TL;DR: In this paper, a density-based notion of clusters is proposed to discover clusters of arbitrary shape, which can be used for class identification in large spatial databases and is shown to be more efficient than the well-known algorithm CLAR-ANS.
Book ChapterDOI
A New Approach to Linear Filtering and Prediction Problems
TL;DR: In this paper, the clssical filleting and prediclion problem is re-examined using the Bode-Shannon representation of random processes and the?stat-tran-sition? method of analysis of dynamic systems.
Proceedings Article
A density-based algorithm for discovering clusters in large spatial Databases with Noise
TL;DR: DBSCAN, a new clustering algorithm relying on a density-based notion of clusters which is designed to discover clusters of arbitrary shape, is presented which requires only one input parameter and supports the user in determining an appropriate value for it.
Related Papers (5)
Measurement of the intrinsic electron neutrino component in the T2K neutrino beam with the ND280 detector
K. Abe,J. Adam,Hiroaki Aihara,T. Akiri,C. Andreopoulos,Shigeki Aoki,Akitaka Ariga,Tomoko Ariga,S. Assylbekov,D. Autiero,M. Barbi,Gareth J. Barker,G.D. Barr,M. Bass,M. Batkiewicz,F. Bay,S. W. Bentham,Vincenzo Berardi,B. E. Berger,S. Berkman,Iain Alexander Bertram,S. Bhadra,F. d. M. Blaszczyk,A. Blondel,C. Bojechko,S. Bordoni,S. B. Boyd,D. Brailsford,A. Bravar,C. Bronner,N. J. Buchanan,R. G. Calland,J. Caravaca Rodríguez,S. L. Cartwright,R. Castillo,M. G. Catanesi,A. Cervera,D. Cherdack,G. Christodoulou,A. Clifton,J. P. Coleman,S. J. Coleman,G. Collazuol,K. Connolly,L. Cremonesi,A. Dabrowska,I. Z. Danko,Rhiju Das,Scott Davis,P. de Perio,G. De Rosa,T. Dealtry,S. R. Dennis,C. Densham,F. Di Lodovico,S. Di Luise,O. Drapier,T. Duboyski,K. E. Duffy,Frédéric Dufour,J. Dumarchez,S. Dytman,Michal Dziewiecki,S. Emery,Antonio Ereditato,L. Escudero,Alexander Finch,L. Floetotto,M. Friend,Yuki Fujii,Y. Fukuda,A. P. Furmanski,V. Galymov,S. Giffin,C. Giganti,K. Gilje,D. Goeldi,T. Golan,J.J. Gómez-Cadenas,M. Gonin,N. Grant,D. Gudin,D. R. Hadley,A. Haesler,M. D. Haigh,P. Hamilton,D. Hansen,T. Hara,M. Hartz,T. Hasegawa,N. C. Hastings,Y. Hayato,C. Hearty,R. L. Helmer,M. Hierholzer,Joshua Hignight,A. Hillairet,A. Himmel,Takahiro Hiraki,Seiko Hirota,J. Holeczek,S. Horikawa,K. Huang,A. K. Ichikawa,K. Ieki,M. Ieva,M. Ikeda,J. Imber,J. Insler,T. J. Irvine,T. Ishida,T. Ishii,S. J. Ives,E. Iwai,K. Iyogi,Artur F. Izmaylov,A. Jacob,B. Jamieson,R. A. Johnson,J. H. Jo,P. Jonsson,C. K. Jung,M. Kabirnezhad,A. C. Kaboth,Takaaki Kajita,Hidekazu Kakuno,J. Kameda,Y. Kanazawa,D. Karlen,I. Karpikov,E. Kearns,M. M. Khabibullin,A. N. Khotjantsev,D. Kielczewska,T. Kikawa,A. Kilinski,Jungsang Kim,J. Kisiel,P. Kitching,T. Kobayashi,L. Koch,A. Kolaceke,A. Konaka,L. L. Kormos,A. Korzenev,K. Koseki,Yusuke Koshio,I. Kreslo,W. R. Kropp,Hidetoshi Kubo,Yu. G. Kudenko,S. Kumaratunga,R.P. Kurjata,T. Kutter,J. Lagoda,K. Laihem,I. Lamont,E. Larkin,Marco Laveder,M. Lawe,M. Lazos,K. P. Lee,T. Lindner,C. Lister,R. P. Litchfield,A. Longhin,L. Ludovici,M. Macaire,L. Magaletti,Kendall Mahn,M. Malek,S. Manly,A. D. Marino,J. Marteau,J. F. Martin,T. Maruyama,Janusz Marzec,E. L. Mathie,V. Matveev,K. Mavrokoridis,E. Mazzucato,M. McCarthy,N. McCauley,Kevin Scott McFarland,C. McGrew,C. J. Metelko,M. Mezzetto,P. Mijakowski,C. A. Miller,A. Minamino,O. V. Mineev,S. Mine,A. Missert,M. Miura,L. Monfregola,S. Moriyama,Th. A. Mueller,A. Murakami,M. Murdoch,S. Murphy,J. Myslik,T. Nagasaki,T. Nakadaira,Masayuki Nakahata,T. Nakai,K. Nakamura,S. Nakayama,Tsuyoshi Nakaya,K. Nakayoshi,D. Naples,C. Nielsen,M. Nirkko,K. Nishikawa,Yukika Nishimura,H. M. O'Keeffe,R. Ohta,Ko Okumura,T. Okusawa,W. Oryszczak,S. M. Oser,R. A. Owen,Yuichi Oyama,V. Palladino,J. L. Palomino,V. Paolone,D. Payne,O. Perevozchikov,J. D. Perkin,Y. Petrov,L. Pickard,E. S. Pinzon Guerra,C. Pistillo,P. Plonski,E. Poplawska,B. A. Popov,M. Posiadala,J. M. Poutissou,R. Poutissou,P. Przewlocki,B. Quilain,E. Radicioni,P. N. Ratoff,M. Ravonel,M. A.M. Rayner,A. Redij,Matthew T. Reeves,E. Reinherz-Aronis,F. Retiere,A. Robert,P. A. Rodrigues,P. Rojas,E. Rondio,S. Roth,André Rubbia,D. Ruterbories,R. Sacco,Ken Sakashita,Federico Sanchez,F. Sato,E. Scantamburlo,Kate Scholberg,Stefan Schoppmann,J. Schwehr,Mark Scott,Y. Seiya,T. Sekiguchi,Hiroyuki Sekiya,D. Sgalaberna,Masato Shiozawa,S. Short,Y. Shustrov,P. Sinclair,B. Smith,Richard J.H. Smith,M. B. Smy,Jan T. Sobczyk,H. Sobel,M. Sorel,L. Southwell,P. Stamoulis,J. Steinmann,B. Still,Yusuke Suda,A. T. Suzuki,Kazuhiro Suzuki,S. Y. Suzuki,Yasunari Suzuki,T. Szeglowski,R. Tacik,M. Tada,Susumu Takahashi,Atsushi Takeda,Y. Takeuchi,H. K. Tanaka,H. Tanaka,Masashi Tanaka,D. Terhorst,R. Terri,Lester D.R. Thompson,A. Thorley,S. Tobayama,W. H. Toki,T. Tomura,Y. Totsuka,C. Touramanis,T. Tsukamoto,M. Tzanov,Y. Uchida,Koh Ueno,Antonin Vacheret,M. Vagins,G. Vasseur,T. Wachala,A. V. Waldron,C. W. Walter,D. L. Wark,M. O. Wascko,A. C. Weber,R. A. Wendell,R. J. Wilkes,M. J. Wilking,C. Wilkinson,Z. Williamson,J. R. Wilson,Robert Wilson,T. Wongjirad,Yoshikazu Yamada,Koji Yamamoto,C. Yanagisawa,S. Yen,N. Yershov,Masashi Yokoyama,T. Yuan,M. Yu,A. Zalewska,J. Zalipska,L. Zambelli,K. Zaremba,M. Ziembicki,E. D. Zimmerman,M. Zito,J. Zmuda +341 more