Experiment Simulation Configurations Approximating DUNE TDR

Abi, B.; Friedland, Alexander; Smy, M.; Ravat, S.; Djurcic, Z.; Goudzovski, E.; Totani, D.; Mazzucato, E.; Densham, C.; Russell, B.; Calvo, E.; Green, P.; Penzo, A.; Shooltz, D.; Li, S.; Mishra, C. S.; Acero,; Maloney, J.A.; Cerati, G. B.; Zennamo, J.; Dyshkant, A.; Gran, R.; Stewart, J.; Sanchez, L. Escudero; Brooijmans, G.; Patzak, T.; Yonehara, K.; Delgado, M.; Moon, J.; Lebrun, P.; Dunne, P.; Brizzolari, C.; Cho, K.; Miotto, G. Lehmann; Ternes, C. A.; Montanari, A.; Vallecorsa, S.; Prakash, Suprabh; Ankowski, Artur M.; Holanda, P. C. de; Moor, A. F.; Smith, Erica; Mehta, Poonam; Palamara, O.; Brooke, J. J.; Baesso, P.; Lasorak, P.; Kumar, J.; Ketchum, W.; Petta, C.; Wolcott, J.; Dwyer, D. A.; Koerner, L. W.; Menary, S.; Szczerbinska, B.; Neto, J. R. T. de Mello; Gamble, T.; Matthews, J. A. J.; Chang, C.; Chen, M.; Giulio, L. Di; Cross, R.; Blazey, G.; Rappoldi, A.; Howard, B.; Jiang, L.; Laundrie, A.; Suter, L.; Zamorano, B.; Valle, J. W. F.; Roeth, A. J.; Blaszczyk, F. d. M.; Ji, Xingzhao; Onel, Y.; Kemp, E.; Duyang, H.; Roeck, A. De; Franc, J.; Gago, A. M.; Nishimura, K.; Redondo, D.; Ramachers, Y. A.; Fajardo, L. S. Gomez; Manly, S.; Spitz, J.; Paulucci, L.; Junk, T. R.; Papaleo, R.; Mohanta, Rukmani; Hamernik, T.; Varner, G.; Pordes, S.; Heise, J.; Antusch, Stefan; Clarke, P. E. L.; Menendez, P. Fernandez; Whittington, D.; Rochester, Lynn; Delgado, Ramirez; Gallice, N.; Pennacchio, E.; Qian, Xiaohui; Rosauro-Alcaraz, S.; Wret, C.; Wascko, M. O.; Goodwin, O.; Worcester, M.; McConkey, N.; Gent, Stephen P.; Gallego-Ros, A.; Decowski, M. P.; Kirby, M.; Zimmerman, E. D.; Surdo, A.; Peres, L. Da Silva; Wei, H.; Khotjantsev, A.; Deisting, A.; Machado, Pedro A. N.; Crespo-Anadón, J. I.; Berger, Joshua; Vilela, C.; Williams, Z.; Jesús-Valls, C.; Karolak, M.; Sgalaberna, D.; Sarčević, Ina; Cui, Yanou; Bilki, B.; Yu, B. X.; Sitraka, A.; Koller, P. P.; Bromberg, C.; Kamiya, F.; Backhouse, C.; Khvedelidze, A.; Keener, P. T.; Anderson, J.; Verdugo, A.; Tariq, Salman; Pakvasa, S.; Borkum, A.; Guarino, V.; Bajou, R.; Stokes, T.; Bechetoille, E.; Striganov, S.; Torti, M.; Ghorbani-Moghaddam, Z.; Karyotakis, Y.; Benekos, N.; Călin, M.; Alonso, M. J. Rodriguez; Behera, B. R.; Real, J.S.; Nichol, R.; Fowler, J.; Patton, S.; McNab, A.; Kasai, S.; Mefodiev, A.; Miao, T.; Mariani, C.; Hostert, Matheus; Habig, A.; Mousseau, J.; Flanagan, W.; Vahle, P.; Zeug, K.; Conley, E.; Boschi, T.; Schäffer, Tilman E.; Rossella, M.; Acciarri, R.; Barros, N.; Castillo, A.; Maricic, J.; Gonzalez-Cuevas, J. A.; Lawrence, A.; Shin, Seodong; Sharma, R.; Asaadi, J.; Gramellini, E.; Prakash, T.; Belver, D.; Rescia, S.; Marshall, C.; Sankey, D. P. C.; Kim, Siyeon; Rielage, K.; Rubbia, A.; Pinzino, J.; Durkin, T.; Piastra, F.; Cremonesi, L.; Littlejohn, B. R.; Moura, C. A.; Dennis, Stephen R.; Díaz, J.; Dokania, N.; Zeller, G. P.; Zito, M.; Rameika, R.; Wood, L.; Pershey, D.; Potukuchi, B.; Gandrajula, R. P.; Klein, J.; Beacom, J. F.; Scarff, A.; Moffat, K.; Bolton, T.; Khabibullin, M.; Montanari, D.; Sipos, Roland; Pawloski, G.; Naples, D.; Domine, L.; Petrillo, G.; Simos, N.; Moggi, N.; Paley, J.; Gwon, S.; Groh, M.; Bonesini, M.; Fox, W.; Carlus, B.; Bordoni, S.; Guglielmi, A.; Cocco, A. G.; Castromonte, C.; Kazaryan, N.; Basque, V.; Díaz, F.; Cussans, D.; Lin, S. C.; Spooner, N. J. C.; Dharmapalan, R.; Motta, H. da; Manolopoulos, K.; Ariga, A.; Hazen, E.; Singh, V.; Sacerdoti, S.; Girerd, C.; Kaboth, A.; Guénette, R.; Leyton, M.; Pater, J. R.; Water, R. G. Van de; Blucher, E.; Campo, A. Olivares Del; Pillow, Jonathan W.; Weinstein, A.; Sinclair, J.; Barnes, C.; White, A.; Melas, P.; Barrow, J. L.; Fernández‐Martínez, E.; Itay, R.; Hahn, Artur; Timm, S. C.; Neves, F.; Wu, W.; Zutshi, V.; Brianne, Eldwan; Corwin, L.; Stock, J.; Delbart, A.; Mineev, O.; Terao, K.; Snopok, P.; Smith, Paul T.; Martinez, N. Lorenzo; Vasseur, G.; Migenda, J.; Jwa, Y.; Kostelecký, V. Alan; Necib, Lina; Soustružnı́k, K.; Cavanna, F.; Riccobene, G.; Christian, David; Saakyan, R.; Gomes, R. A.; Jong, P. de; Monarca, J. Barranco; Mason, K.; Rebel, B.; Fitzpatrick, R. S.; Young, T.; Szelc, A. M.; Maddalena, A.; Holin, A.; Payne, D. J.; Fleming, B. T.; Dolinski, M. J.; Sobel, H. W.; Kohn, S.; Loew, T.; Lomidze, I.; Segreto, E.; Brandt, A.; Bostan, N.; Guzzo, M. M.; Sousa, A.; Heavey, A.; Madigan, P.; Mewes, Matthew; Filkins, A.; Shaevitz, M. H.; Cherdack, D.; Reichenbacher, J.; Evans, Justin J.; Usher, T.; Berner, R. M.; Raselli, G. L.; Graham, M.; Paulos, B.; Haiston, J.; Trevor, J.; Marshak, M.; Ewart, E.; Guthikonda, K. K.; Bertolucci, S.; Mishra, Subhasmita; Ereditato, A.; Dawson, J.; Scaramelli, A.; Oliveira, M. A. Leigui de; Jipa, A.; Azfar, F.; Sala, P.; Meng, G.; Guzowski, P.; Muir, A.; Zambelli, L.; Bongrand, M.; Blake, A.; Bezawada, Y.; Vrba, T.; Muheim, F.; Fahey, Kevin; Scarpelli, A.; Hillier, S. J.; Seong, I. 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A.; Tatar, E.; Christodoulou, G.; Grant, A.; Zhao, Miao; David, Q.; Gouvêa, A. de; Lin, C.; Rakotondravohitra, L.; Marciano, W.; Tsang, K. V.; Lang, K.; Newhart, D.; Freeman, J.; While, M.; Caicedo, D. A. Martínez; Church, E.; Back, H. O.; Caminata, A.; Edmunds, D.; Mokhov, N.; Rakotondramanana, H. T.; Carranza, H.; Bay, F.; Zetina, L. Montaño; Weber, A.; Sharma, Harshita; King, B.J.; Hoff, J.; Hennessy, K.; Wilson, F. F.; Sorel, M.; Debbins, P.; Himmel, A.; Savinov, V.; Goswami, Sreetama; Brice, S. J.; Huang, J.; Toups, M.; Furmanski, A. P.; Zazueta, L.; Howell, R.; Vignoli, C.; Stančo, L.; Davini, S.; García-Peris, M. Á.; Russell, J. J.; Vries, J. Jan de; Long, K.; Vaziri, K.; Freestone, J.; Chalifour, M.; Bonis, I. De; Nalbandyan, M.; Joglekar, A.; Wenman, D.; Bernardini, P.; Ezeribe, A. C.; Söldner-Rembold, S.; Kordosky, M.; Diwan, M.; Yang, T.; Biery, K.; Niner, E.; Tsamalaidze, Z.; Miller, W.; Warner, D.; Lorca, D.; Mandrioli, G.; Boyden, D.; Wongjirad, T.; Gelli, B.; Escobar, C. O.; Calafiura, P.; Adamov, G.; Rafique, A.; Duchesneau, D.; Green, S.; Galymov, V.; Herner, K.; Wood, K.; Wang, Y.; Nessi, M.; Mazza, R.; Mena, Olga; Haigh, J. T.; Kreslo, I.; Nelson, J. K.; Jones, S.; Gamberini, E.; Miryala, Sandeep; Varanini, F.; Montanari, C.; Köse, U.; Bueno, L. Molina; Vallari, Z.; Lord, T.; Hertel, Lars; Coan, T. E.; Miedema, T.; Ge, G.; Harris, D. A.; Grzelak, K.; Schlabach, P.; Franco, D.; Cattadori, C.; Santos-Maldonado, M.; Svoboda, R.; Pons, X.; Johnson, C. A.; Roda, M.; Farnese, C.; Safford, T.; Rice, L. C. J.; Ioannisian, Ara; Nunes, M. Soares; Schukraft, A.; Shafaq, S.; Schmitz, D.; Hourlier, A.; Navas-Nicolás, D.; Rubbia, C.; Pénichot, Y.; Viren, B.; Tayloe, R.; Morquecho, Hernandez; Hewes, J.; Rehak, T.; Pec, V.; Rondon, J. Rodriguez; Plata, M. 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V. Gomez; Reggiani-Guzzo, M.; Resnati, F.; Parsa, Z.; Tortorici, F.; Louis, W.C.; Li, L.; Tull, C. E.; Zhang, C.; Convery, M. R.; Le, T.; Félix, J.; Sensenig, J.; Andreopoulos, C; James, E.; Bashyal, A.; Kim, D.; Carniti, P.; Solovov, V.; Mladenov, D.; Domizio, S. Di; Souza, H. Vieira de; Leitner, M.; Barker, G. J.; Michna, Gregory J.; Hasegawa, T.; Wilkinson, C.; Farzan, Yasaman; Raboanary, R.; Roy, Samiran; Back, J. J.; Gotti, C.; Perry, James; Xiao, Y. J.; Macias, C. T.; Waldron, A. V.; Sapienza, P.; Masud, Mehedi; Marchionni, A.; Kus, V.; Spanu, M.; Mooney, M.; Pozzato, M.; Budd, H. S.; Novella, P.; Dvornikov, O.; Christensen, A.; Drielsma, F.; Urheim, J.; Susic, V.; Mellinato, M.; Raguzin, Е.; Pagani, L.; MacFarland, Donald; Gonnella, F.; Luo, X.; Strait, M.; Sanders, D. A.; Strauss, T.; Marteau, J.; Francis, K.; Newcomer, M.; Morgan, B.; Gendotti, A.; Palomares, C.; Giri, A.; Douglas, D.; Miranda, O. G.; Luzio, V. 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doi:10.48550/arxiv.2103.04797

Cited by 28 publications

(71 citation statements)

References 0 publications

Supporting

Mentioning

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“…Since the THEIA detector is at the same SURF experimental site as the DUNE far detectors, it can also probe the LBNF neutrinos. While the event reconstruction of high energy neutrinos at the DUNE liquid Argon detectors has already been studied carefully [117], we focus on the detection at THEIA.…”

Section: B the High-energy Modementioning

confidence: 99%

“…Backgrounds -The LBNF beam can contribute intrinsic ν e (ν e ) background ν e → ν e (ν e → νe ) which is irreducible. For the neutrino (anti-neutrino) mode, the ν e (ν e ) flux is two orders smaller than the dominant ν µ (ν µ ) [117]. Considering the ν µ → ν e (ν µ → νe ) oscillation probability that is typically 5%, the intrinsic background can be comparable or roughly one order smaller than the signal.…”

Section: The Cc-qes Categorymentioning

confidence: 99%

“…For the THEIA detector we consider two possibilities, THEIA-25 with a fiducial mass of 17 kt and THEIA-100 with a fiducial mass of 70 kt [48]. The DUNE detector has four modules, each with 10 kt fiducial mass [117]. Both THEIA and DUNE detectors are at the same SURF site and 1289 km away from the LBNF source.…”

Section: A Experimental Setupsmentioning

confidence: 99%

“…For the low-energy mode, the normalization uncertainties are the same as the configuration given in [84] while the uncertainties are more conservative than the values (2% for ν e and 5% for νe ) used in [48]. The systematics of the LBNF beam detection by the DUNE detector are described by the official configuration files [117].…”

Section: B Simulation and χ 2 Analysismentioning

confidence: 99%

See 3 more Smart Citations

Improving CP Measurement with THEIA and Muon Decay at Rest

Ge,

Kong,

Pasquini

2022

Preprint

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Section: B the High-energy Modementioning

confidence: 99%

Section: The Cc-qes Categorymentioning

confidence: 99%

Section: A Experimental Setupsmentioning

confidence: 99%

Section: B Simulation and χ 2 Analysismentioning

confidence: 99%

See 2 more Smart Citations

Improving CP Measurement with THEIA and Muon Decay at Rest

Ge,

Kong,

Pasquini

2022

Preprint

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“…[44,. In this work, we analyze in detail the sensitivities of the next generation, high-precision long-baseline neutrino oscillation experiment DUNE (Deep Underground Neutrino Experiment) [92][93][94][95][96][97] to establish the deviation from maximal θ 23 and to resolve its octant at high confidence level in light of the current neutrino oscillation data. While estimating DUNE's capability for the discovery of non-maximal θ 23 , we shed light on some relevant issues such as: (i) the individual contributions from appearance and disappearance channels, (ii) impact of systematic uncertainties and marginalization over oscillation parameters, and (iii) importance of spectral analysis and data from both neutrino and antineutrino runs.…”

Section: Introductionmentioning

confidence: 99%

A close look on 2-3 mixing angle with DUNE in light of current neutrino oscillation data

Agarwalla,

Kundu,

Prakash

et al. 2021

Preprint

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Recent global fit analyses of world oscillation data under 3ν hypothesis show a preference for normal mass ordering (NMO) at 2.5σ and provide 1.6σ indications for lower θ 23 octant (sin 2 θ 23 < 0.5) and leptonic CP violation (sin δ CP < 0). A high-precision measurement of 2-3 mixing angle is pivotal to convert these hints into discoveries and to address the long-standing flavor problem. In this work, we study in detail the capabilities of the long-baseline experiment DUNE to establish the deviation from maximal θ 23 and to resolve its octant at high confidence levels in light of the current neutrino oscillation data. We exhibit the possible correlations and degeneracies among sin 2 θ 23 , ∆m 2 31 , and δ CP in ν µ → ν µ and ν µ → ν e oscillation channels at the probability and event levels. Introducing for the first time, a bi-events plot in the plane of total ν and ν disappearance events, we discuss the impact of sin 2 θ 23 -∆m 2 31 degeneracy in establishing non-maximal θ 23 and show how this degeneracy can be resolved by exploiting the spectral shape information in ν and ν disappearance events. A 3σ (5σ) determination of non-maximal θ 23 is possible in DUNE with an exposure of 336 kt•MW•years if the true value of sin 2 θ 23 0.465 (0.450) or sin 2 θ 23 0.554 (0.572) for any value of true δ CP and true NMO. We study the individual contributions from appearance and disappearance channels, impact of systematic uncertainties and marginalization over oscillation parameters, importance of spectral analysis and data from both ν and ν runs, while analyzing DUNE's sensitivity for the discovery of a non-maximal θ 23 . We observe that both ν and ν data are essential to settle the θ 23 octant at a high confidence level. DUNE can resolve the octant of θ 23 at 4.2σ (5σ) using 336 (480) kt•MW•years of exposure assuming the present best-fit values of sin 2 θ 23 (0.455) and δ CP (223 • ) as their true choices and with true NMO. DUNE can improve the current relative 1σ precision on sin 2 θ 23 (∆m 2 31 ) by a factor of 4.4 (2.8) using 336 kt•MW•years of exposure.

show abstract

How to identify different new neutrino oscillation physics scenarios at DUNE

Denton

Giarnetti

Meloni

2023

J. High Energ. Phys.

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Next generation neutrino oscillation experiments are expected to measure the remaining oscillation parameters with very good precision. They will have unprecedented capabilities to search for new physics that modify oscillations. DUNE, with its broad band beam, good particle identification, and relatively high energies will provide an excellent environment to search for new physics. If deviations from the standard three-flavor oscillation picture are seen however, it is crucial to know which new physics scenario is found so that it can be verified elsewhere and theoretically understood. We investigate several benchmark new physics scenarios by looking at existing long-baseline accelerator neutrino data from NOvA and T2K and determine at what sensitivity DUNE can differentiate among them. We consider sterile neutrinos and both vector and scalar non-standard neutrino interactions, all with new complex phases, the latter of which could conceivably provide absolute neutrino mass scale information. We find that, in many interesting cases, DUNE will have good model discrimination. We also perform a new fit to NOvA and T2K data with scalar NSI.

show abstract

Experiment Simulation Configurations Approximating DUNE TDR

Cited by 28 publications

References 0 publications

Improving CP Measurement with THEIA and Muon Decay at Rest

Improving CP Measurement with THEIA and Muon Decay at Rest

A close look on 2-3 mixing angle with DUNE in light of current neutrino oscillation data

How to identify different new neutrino oscillation physics scenarios at DUNE

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