13 research outputs found
Approaches in biotechnological applications of natural polymers
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- Publication venue
- 'American Institute of Mathematical Sciences (AIMS)'
- Publication date
- 01/01/2016
- Field of study
Natural polymers, such as gums and mucilage, are biocompatible, cheap, easily available and non-toxic materials of native origin. These polymers are increasingly preferred over synthetic materials for industrial applications due to their intrinsic properties, as well as they are considered alternative sources of raw materials since they present characteristics of sustainability, biodegradability and biosafety. As definition, gums and mucilages are polysaccharides or complex carbohydrates consisting of one or more monosaccharides or their derivatives linked in bewildering variety of linkages and structures. Natural gums are considered polysaccharides naturally occurring in varieties of plant seeds and exudates, tree or shrub exudates, seaweed extracts, fungi, bacteria, and animal sources. Water-soluble gums, also known as hydrocolloids, are considered exudates and are pathological products; therefore, they do not form a part of cell wall. On the other hand, mucilages are part of cell and physiological products. It is important to highlight that gums represent the largest amounts of polymer materials derived from plants. Gums have enormously large and broad applications in both food and non-food industries, being commonly used as thickening, binding, emulsifying, suspending, stabilizing agents and matrices for drug release in pharmaceutical and cosmetic industries. In the food industry, their gelling properties and the ability to mold edible films and coatings are extensively studied. The use of gums depends on the intrinsic properties that they provide, often at costs below those of synthetic polymers. For upgrading the value of gums, they are being processed into various forms, including the most recent nanomaterials, for various biotechnological applications. Thus, the main natural polymers including galactomannans, cellulose, chitin, agar, carrageenan, alginate, cashew gum, pectin and starch, in addition to the current researches about them are reviewed in this article.. }To the Conselho Nacional de Desenvolvimento Cientfíico e Tecnológico (CNPq) for fellowships (LCBBC and MGCC) and the Coordenação de Aperfeiçoamento de Pessoal de Nvíel Superior (CAPES) (PBSA). This study was supported by the Portuguese Foundation for Science and Technology (FCT) under the scope of the strategic funding of UID/BIO/04469/2013 unit, the Project RECI/BBB-EBI/0179/2012 (FCOMP-01-0124-FEDER-027462) and COMPETE 2020 (POCI-01-0145-FEDER-006684) (JAT)
Scintillation light detection in the 6-m drift-length ProtoDUNE Dual Phase liquid argon TPC
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- Tyley E
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- Uchida MA
- Urheim J
- Usher T
- Uzunyan S
- Vagins MR
- Vahle P
- Valder S
- Valdiviesso GDA
- Valencia E
- Valentim R
- Vallari Z
- Vallazza E
- Valle JWF
- Vallecorsa S
- Van Berg R
- Van de Water RG
- Vanegas Forero D
- Vannerom D
- Varanini F
- Vargas Oliva D
- Varner G
- Vasel J
- Vasina S
- Vasseur G
- Vaughan N
- Vaziri K
- Vazquez W Panduro
- Ventura S
- Verdugo A
- Vergani S
- Vermeulen MA
- Verzocchi M
- Vicenzi M
- Vignoli C
- Vilela C
- Viren B
- Vrba T
- Wachala T
- Waldron A
- Wallbank M
- Wallis C
- Wang H
- Wang J
- Wang L
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- Wang X
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- Warburton K
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- Wascko MO
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- Wawrowska K
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- Weber M
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- Whitehead LH
- Whittington D
- Wilking MJ
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- Wilkinson C
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- Wisniewski W
- Wolcott J
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- Wresilo K
- Wret C
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- Wu W
- Xiao Y
- Xie F
- Yaeggy B
- Yandel E
- Yang G
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- Yang T
- Yankelevich A
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- Zamorano B
- Zani A
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- Zhang Y
- Zhao M
- Zhivun E
- Zhu G
- Zimmerman ED
- Zucchelli S
- Zuklin J
- Zutshi V
- Zwaska R
- Publication venue
- 'Springer Fachmedien Wiesbaden GmbH'
- Publication date
- 16/07/2022
- Field of study
DUNE is a dual-site experiment for long-baseline neutrino oscillation studies, neutrino astrophysics and nucleon decay searches. ProtoDUNE Dual Phase (DP) is a 6 × 6 × 6 m 3 liquid argon time-projection-chamber (LArTPC) that recorded cosmic-muon data at the CERN Neutrino Platform in 2019-2020 as a prototype of the DUNE Far Detector. Charged particles propagating through the LArTPC produce ionization and scintillation light. The scintillation light signal in these detectors can provide the trigger for non-beam events. In addition, it adds precise timing capabilities and improves the calorimetry measurements. In ProtoDUNE-DP, scintillation and electroluminescence light produced by cosmic muons in the LArTPC is collected by photomultiplier tubes placed up to 7 m away from the ionizing track. In this paper, the ProtoDUNE-DP photon detection system performance is evaluated with a particular focus on the different wavelength shifters, such as PEN and TPB, and the use of Xe-doped LAr, considering its future use in giant LArTPCs. The scintillation light production and propagation processes are analyzed and a comparison of simulation to data is performed, improving understanding of the liquid argon properties
A core outcome set for pre‐eclampsia research: an international consensus development study
- Author
- Abalos EJ
- Adamson CCD
- Akadri AA
- Akturk Z
- Allegaert K
- Angel Munoz M
- Angel‐Müller E
- Antretter J
- Audibert F
- Auger N
- Aygun C
- Babic I
- Bagga R
- Baker JM
- Bhandari V
- Bhattacharya S
- Blanker MH
- Bloomfield FH
- Bof A
- Brennan SM
- Broekhuijsen K
- Brown M
- Browne JL
- Browning RM
- Bull JW
- Butt A
- Button D
- Cairns AE
- Campbell DM
- Campbell JP
- Carbillon L
- Carthy S
- Casely E
- Cave JA
- Cecatti JG
- Chamillard ME
- Chappell LC
- Chassard D
- Checheir NC
- Chulkov VS
- Cluver CA
- Crawford CF
- Daly MC
- Darmochwal‐Kolarz DA
- Davies MW
- Davies RE
- Dawson JS
- Dobson N
- Dodd CN
- Donald F
- Duffy JMN
- Duley L
- Epstein‐Mares J
- Erez O
- Evans E
- Farlie RN
- Ferris AV
- Fiona Broughton Pipkin E
- Fitzpatrick R
- Frankland EM
- Freeman DJ
- Gainder S
- Gale C
- Ganzevoort W
- Gbinigie OA
- Ghosh SK
- Glogowska M
- Goodlife A
- Gough KL
- Green JR
- Grobman WA
- Gul F
- Haggerty L
- Hall DR
- Hallman M
- Hammond SJ
- Harlow SD
- Hays KE
- Hickey SC
- Higgins M
- Hinton L
- Hobson SR
- Hogg MJ
- Hollands HJ
- Homer CSE
- Hoodbhoy Z
- Howell P
- Huppertz B
- Husain S
- Jacoby SD
- Jacqz‐Aigrain E
- Jenkins G
- Jewel D
- Johnson MJ
- Johnston CL
- Jones PM
- Kantrowitz‐Gordon I
- Karumanchi SA
- Khalil A
- Khan R
- Kirby LJ
- Kirk C
- Knight M
- Korey MT
- Lee GJ
- Lee VW
- Levene LS
- Londero AP
- Lucas DN
- Lust KM
- MacKenzie V
- Magee LA
- Malha L
- Mattone M
- McCartney DE
- McFadden A
- McKinstry BH
- McManus RJ
- Middleton PF
- Mistry HD
- Mitchell CA
- Mockler JC
- Mol BW
- Molsher S
- Monast ES
- Moodley J
- Mooij R
- Moore EL
- Morgan L
- Moulson A
- Mughal F
- Mundle SR
- Murray E
- Nagata C
- Nair AS
- Nakimuli A
- Nath G
- Newport RS
- Oakeshott P
- Ochoa‐Ferraro MR
- Odendaal H
- Ohkuchi A
- Oliveira L
- Ortiz‐Panozo E
- Oudijk MA
- Oygucu SE
- Paech MJ
- Painter RC
- Parry CL
- Payne BA
- Pearson EL
- Phupong V
- Pickett N
- Pickles KA
- Plumb LK
- Prefumo F
- Preston R
- Ray JG
- Rayment J
- Regan LV
- Rey E
- Richards‐Doran D
- Robson EJ
- Rubin AN
- Rubio‐Romero JA
- Rull K
- Sass N
- Sauvé N
- Savory NA
- Scott JR
- Seaton SE
- Seed PT
- Shakespeare JM
- Shand AW
- Sharma S
- Shaw TY
- Smedley KL
- Smith Conk A
- Smith D
- Soward D
- Stark M
- Stepan H
- Stroumpoulis K
- Surendran A
- Takeda S
- Tan L
- Thangaratinam S
- Theriot BS
- Thomas HF
- Thompson K
- Thompson MJ
- Thompson PI
- Torney KLHT
- Treadwell JS
- Tucker KL
- Turrentine MA
- van 't Hooft J
- Van Hecke O
- Van Oostwaard MF
- Vasquez DN
- Vaughan DJA
- VInturache A
- von Dadelszen P
- Walker J
- Wardle SP
- Wasim T
- Waters JH
- Whitehead CL
- Williamson PR
- Wilson MJ
- Wolfson A
- Yeo S
- Zermansky AG
- Ziebland S
- Publication venue
- 'Wiley'
- Publication date
- 01/01/2020
- Field of study
Objective
To develop a core outcome set for pre‐eclampsia.
Design
Consensus development study.
Setting
International.
Population
Two hundred and eight‐one healthcare professionals, 41 researchers and 110 patients, representing 56 countries, participated.
Methods
Modified Delphi method and Modified Nominal Group Technique.
Results
A long‐list of 116 potential core outcomes was developed by combining the outcomes reported in 79 pre‐eclampsia trials with those derived from thematic analysis of 30 in‐depth interviews of women with lived experience of pre‐eclampsia. Forty‐seven consensus outcomes were identified from the Delphi process following which 14 maternal and eight offspring core outcomes were agreed at the consensus development meeting. Maternal core outcomes: death, eclampsia, stroke, cortical blindness, retinal detachment, pulmonary oedema, acute kidney injury, liver haematoma or rupture, abruption, postpartum haemorrhage, raised liver enzymes, low platelets, admission to intensive care required, and intubation and ventilation. Offspring core outcomes: stillbirth, gestational age at delivery, birthweight, small‐for‐gestational‐age, neonatal mortality, seizures, admission to neonatal unit required and respiratory support.
Conclusions
The core outcome set for pre‐eclampsia should underpin future randomised trials and systematic reviews. Such implementation should ensure that future research holds the necessary reach and relevance to inform clinical practice, enhance women's care and improve the outcomes of pregnant women and their babies
Separation of track- and shower-like energy deposits in ProtoDUNE-SP using a convolutional neural network
- Author
- Abi B
- Abud A Abed
- Acciarri R
- Acero MA
- Adames MR
- Adamov G
- Adamowski M
- Adams D
- Adinolfi M
- Aduszkiewicz A
- Aguilar J
- Ahmad Z
- Ahmed J
- Aimard B
- Alba J Bazo
- Ali-Mohammadzadeh B
- Alion T
- Allison K
- Alonso MJ Rodriguez
- AlRashed M
- Alt C
- Alton A
- Alvarez R
- Amedo P
- Anderson J
- Andreopoulos C
- Andreotti M
- Andrews M
- Andrianala F
- Andringa S
- Anfimov N
- Ankowski A
- Antoniassi M
- Antonova M
- Antoshkin A
- Antusch S
- Aranda-Fernandez A
- Arellano L
- Arnold LO
- Arroyave MA
- Asaadi J
- Asquith L
- Astiz IL De Icaza
- Aurisano A
- Aushev V
- Autiero D
- Ayala-Torres M
- Azfar F
- Babicz M
- Back A
- Back H
- Back JJ
- Backhouse C
- Bagaturia I
- Bagby L
- Balashov N
- Balasubramanian S
- Baldi P
- Baller B
- Bambah B
- Barao F
- Barenboim G
- Barker G
- Barkhouse W
- Barnes C
- Barr G
- Barros A
- Barros N
- Barrow JL
- Basharina-Freshville A
- Bashyal A
- Basque V
- Batchelor C
- Battat J
- Battisti F
- Bay F
- Bazetto MCQ
- Beacom JF
- Bechetoille E
- Behera B
- Beigbeder C
- Bellantoni L
- Bellettini G
- Bellini V
- Beltramello O
- Benekos N
- Berg R Van
- Berger J
- Berkman S
- Bermeo L Gomez
- Bernardini P
- Berner RM
- Bersani A
- Bertolucci S
- Betancourt M
- Bevan A
- Bezawada Y
- Bezerra TS
- Bhardwaj A
- Bhatnagar V
- Bhattacharjee M
- Bhattarai D
- Bhuller S
- Bhuyan B
- Biagi S
- Bian J
- Biassoni M
- Biery K
- Bilki B
- Bishai M
- Bitadze A
- Blake A
- Blaszczyk F
- Blazey G
- Blucher E
- Boissevain J
- Bolognesi S
- Bolton T
- Bomben L
- Bonesini M
- Bongrand M
- Bonilla E Rodriguez
- Bonilla-Diaz C
- Bonini F
- Bonis I De
- Booth A
- Boran F
- Bordoni S
- Borkum A
- Bostan N
- Bour P
- Bourgeois C
- Boyden D
- Bracinik J
- Braga D
- Brailsford D
- Branca A
- Brandt A
- Bremer J
- Breton D
- Brew C
- Brice SJ
- Brizzolari C
- Bromberg C
- Brooke J
- Bross A
- Brunetti G
- Brunetti M
- Buchanan N
- Budd H
- Bueno L Molina
- Butorov I
- Cagnoli I
- Cai T
- Caicedo DA Martinez
- Caiulo D
- Calabrese R
- Calafiura P
- Calcutt J
- Calin M
- Calvez S
- Calvo E
- Caminata A
- Campanelli M
- Caratelli D
- Carber D
- Carceller J
- Carini G
- Carlus B
- Carneiro MF
- Carniti P
- Carranza H
- Carroll T
- Castillo A
- Castromonte C
- Catano-Mur E
- Cattadori C
- Cavalier F
- Cavallaro G
- Cavanna F
- Centro S
- Cerati G
- Cervelli A
- Chagas E Batista das
- Chalifour M
- Chappell A
- Chardonnet E
- Charitonidis N
- Chatterjee A
- Chattopadhyay S
- Chen H
- Chen M
- Chen Y
- Chen Z
- Chen-Wishart Z
- Cheon Y
- Cherdack D
- Chi C
- Childress S
- Chirco R
- Chiriacescu A
- Chisnall G
- Cho K
- Choate S
- Chokheli D
- Chong PS
- Christensen A
- Christian D
- Christodoulou G
- Chukanov A
- Chung M
- Church E
- Cicero V
- Clarke P
- Cline G
- Coan TE
- Cocco AG
- Coelho J
- Collaboration DUNE
- Colton N
- Conley E
- Conley R
- Conrad J
- Convery M
- Copello S
- Cova P
- Cremaldi L
- Cremonesi L
- Crespo-Anadón JI
- Crisler M
- Cristaldo E
- Crnkovic J
- Cross R
- Cudd A
- Cuesta C
- Cui Y
- Cussans D
- Dalager O
- David C
- David Q
- Davies GS
- Davini S
- Dawson J
- De K
- De S
- Debbins P
- Decowski M
- Deisting A
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- Publication venue
- Publication date
- 01/01/2022
- Field of study
Liquid argon time projection chamber detector technology provides high spatial and calorimetric resolutions on the charged particles traversing liquid argon. As a result, the technology has been used in a number of recent neutrino experiments, and is the technology of choice for the Deep Underground Neutrino Experiment (DUNE). In order to perform high precision measurements of neutrinos in the detector, final state particles need to be effectively identified, and their energy accurately reconstructed. This article proposes an algorithm based on a convolutional neural network to perform the classification of energy deposits and reconstructed particles as track-like or arising from electromagnetic cascades. Results from testing the algorithm on data from ProtoDUNE-SP, a prototype of the DUNE far detector, are presented. The network identifies track- and shower-like particles, as well as Michel electrons, with high efficiency. The performance of the algorithm is consistent between data and simulation
Separation of track- and shower-like energy deposits in ProtoDUNE-SP using a convolutional neural network
- Author
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- Abi B
- Acciarri R
- Acero MA
- Adames MR
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- Adinolfi M
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- Aguilar J
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- Publication venue
- 'Springer Science and Business Media LLC'
- Publication date
- 01/01/2022
- Field of study
Liquid argon time projection chamber detector technology provides high spatial and calorimetric resolutions on the charged particles traversing liquid argon. As a result, the technology has been used in a number of recent neutrino experiments, and is the technology of choice for the Deep Underground Neutrino Experiment (DUNE). In order to perform high precision measurements of neutrinos in the detector, final state particles need to be effectively identified, and their energy accurately reconstructed. This article proposes an algorithm based on a convolutional neural network to perform the classification of energy deposits and reconstructed particles as track-like or arising from electromagnetic cascades. Results from testing the algorithm on experimental data from ProtoDUNE-SP, a prototype of the DUNE far detector, are presented. The network identifies track- and shower-like particles, as well as Michel electrons, with high efficiency. The performance of the algorithm is consistent between experimental data and simulation
Design, construction and operation of the ProtoDUNE-SP Liquid Argon TPC
- Author
- Abi B
- Abud AA
- Acciarri R
- Acero MA
- Adames MR
- Adamov G
- Adams D
- Adinolfi M
- Aduszkiewicz A
- Aguilar J
- Ahmad Z
- Ahmed J
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- Ali-Mohammadzadeh B
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- Allison K
- Almeida RMD
- Alonso MJR
- Alrashed M
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- Amedo P
- Anderson J
- Andreopoulos C
- Andreotti M
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- Andrianala F
- Andringa S
- Anfimov N
- Ankowski A
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- Astiz ILDI
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- Xiao Y
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- Zamorano B
- Zani A
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- Zetina LMM
- Zeug K
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- Zilberman P
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- Zuklin J
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- Publication venue
- 'IOP Publishing'
- Publication date
- 04/08/2021
- Field of study
The ProtoDUNE-SP detector is a single-phase liquid argon time projection chamber (LArTPC) that was constructed and operated in the CERN North Area at the end of the H4 beamline. This detector is a prototype for the first far detector module of the Deep Underground Neutrino Experiment (DUNE), which will be constructed at the Sandford Underground Research Facility (SURF) in Lead, South Dakota, U.S.A. The ProtoDUNE-SP detector incorporates full-size components as designed for DUNE and has an active volume of 7 × 6 × 7.2 m3. The H4 beam delivers incident particles with well-measured momenta and high-purity particle identification. ProtoDUNE-SP's successful operation between 2018 and 2020 demonstrates the effectiveness of the single-phase far detector design. This paper describes the design, construction, assembly and operation of the detector components
Searching for solar KDAR with DUNE
- Author
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- Delbart A
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- Delgado M
- Delgado MAR
- Dell'Acqua A
- DeMuth DM
- Dennis S
- Densham C
- Deptuch GW
- Devi R
- Dharmapalan R
- Di Domizio S
- Di Giulio L
- Di Noto L
- Dias M
- Diaz DG
- Diaz F
- Ding P
- Distefano C
- Diurba R
- Diwan M
- Djurcic Z
- Doering D
- Dolan S
- Dolek F
- Dolinski MJ
- Domine L
- Douglas D
- Douillet D
- Drake G
- Drielsma F
- Duarte L
- Duchesneau D
- Duffy K
- DUNE Collaboration
- Dunne P
- Durkin T
- Duyang H
- Dvornikov O
- Dwyer DA
- Dyshkant AS
- Díaz JS
- Eads M
- Earle A
- Edmunds D
- Eisch J
- Emberger L
- Emery S
- Ereditato A
- Erjavec T
- Escobar CO
- Eurin G
- Evans JJ
- Ewart E
- Ezeribe AC
- F.
- Fahey K
- Fajardo LSG
- Falcone A
- Fani M
- Farnese C
- Farzan Y
- Fedoseev D
- Felix J
- Feng Y
- Fernandez-Martinez E
- Ferraro F
- Fields L
- Filip P
- Filthaut F
- Fiorentini A
- Fiorini M
- Fitzpatrick RS
- Flanagan W
- Fleming B
- Flight R
- Forero DV
- Forero JFC
- Fowler J
- Fox W
- Franc J
- Francis K
- Franco D
- Freeman J
- Freestone J
- Fried J
- Friedland A
- Fuess S
- Furic IK
- Furmanski AP
- Gabrielli A
- Gago A
- Gallagher H
- Gallas A
- Gallego-Ros A
- Gallice N
- Galymov V
- Gamberini E
- Gamble T
- Ganacim F
- Gandhi R
- Gandrajula R
- Gao F
- Gao S
- Garcia-Gamez D
- García-Peris MÁ
- Gardiner S
- Gastler D
- Gauvreau J
- Ge G
- Gelli B
- Gendotti A
- Gent S
- Ghorbani-Moghaddam Z
- Giammaria P
- Giammaria T
- Gibin D
- Gil-Botella I
- Gilligan S
- Girerd C
- Giri AK
- Gnani D
- Gogota O
- Gold M
- Gollapinni S
- Gollwitzer K
- Gomes RA
- Gonnella F
- Gonzalez-Cuevas JA
- Gonzalez-Lopez M
- Goodman MC
- Goodwin O
- Goswami S
- Gotti C
- Goudzovski E
- Grace C
- Graham M
- Gran R
- Granados E
- Granger P
- Grant A
- Grant C
- Gratieri D
- Green P
- Greenler L
- Greer J
- Grenard J
- Griffith WC
- Groh M
- Grudzinski J
- Grzelak K
- Gu W
- Guardincerri E
- Guarino V
- Guarise M
- Guenette R
- Guerard E
- Guerzoni M
- Guglielmi A
- Guo B
- Guthikonda KK
- Gutierrez R
- Guzowski P
- Guzzo MM
- Gwon S
- Ha C
- Habig A
- Hadavand H
- Haenni R
- Hahn A
- Haiston J
- Hamacher-Baumann P
- Hamernik T
- Hamilton P
- Han J
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- Hartnell J
- Harton J
- Hasegawa T
- Hasnip C
- Hatcher R
- Hatfield KW
- Hatzikoutelis A
- Hayes C
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- Hays J
- Hazen E
- He M
- Heavey A
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- Heise J
- Hennessy K
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- Higuera A
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- Himmel A
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- Jung CK
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- Kakorin I
- Kalitkina A
- Kalra D
- Kamiya
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- Karagiorgi G
- Karaman G
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- Kasai S
- Kasetti SP
- Kashur L
- Kazaryan N
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- Kemp E
- Kemularia O
- Ketchum W
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- Khotjantsev A
- Khvedelidze A
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- Koller PP
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- Kothekar K
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- Kreslo I
- Kropp W
- Kudenko Y
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- Lande K
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- Langstaff M
- Larkin J
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- Laurenti G
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- Lazanu I
- LaZur R
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- Learned J
- LeBrun P
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- Lee C
- Lee SY
- Lehnert R
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- Lepin LM
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- Li SW
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- Littlejohn BR
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- Lomidze I
- Long K
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- Louis WC
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- Papadimitriou V
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- Pater J
- Patrick C
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- Patterson RB
- Patton SJ
- Patzak T
- Paudel A
- Paulos B
- Paulucci L
- Pavlovic Z
- Pawloski G
- Payne D
- Pec V
- Peeters SJM
- Pennacchio E
- Penzo A
- Peres LDS
- Peres OLG
- Perry J
- Pershey D
- Pessina G
- Petrillo G
- Petta C
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- Pia V
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- Pickering L
- Pietropaolo F
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- Pons X
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- Potukuchi BVKS
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- Qian X
- Raaf JL
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- Rademacker J
- Radics B
- Rafique A
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- Rajaoalisoa M
- Rakhno I
- Rakotonandrasana A
- Rakotondravohitra L
- Ramachers YA
- Rameika R
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- Raselli G
- Ratoff P
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- Razakamiandra RF
- Rea E
- Real JS
- Rebel B
- Reggiani-Guzzo M
- Rehak T
- Reichenbacher J
- Reitzner SD
- Renshaw A
- Rescia S
- Resnati F
- Reynolds A
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- Riboldi S
- Riccio C
- Riccobene G
- Rice LCJ
- Ricol J
- Rigamonti A
- Rigaut Y
- Rivera D
- Robayo FF
- Robert A
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- Roda M
- Rodrigues P
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- Rondon JR
- Rosauro-Alcaraz S
- Rosenberg M
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- Roskovec B
- Rossella M
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- Ruterbories D
- Rybnikov A
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- Saakyan R
- Sacerdoti S
- Safford T
- Sahu N
- Sala P
- Salinas CJS
- Samios N
- Samoylov O
- Sanchez MC
- Sandberg V
- Sanders DA
- Sankey D
- Santana S
- Santos-Maldonado M
- Saoulidou N
- Sapienza P
- Sarasty C
- Sarcevic I
- Savage G
- Savinov V
- Scaramelli A
- Scarff A
- Scarpelli A
- Schaffer T
- Schellman H
- Schifano S
- Schlabach P
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- Schukraft A
- Segreto E
- Selyunin A
- Senise CR
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- Sgalaberna D
- Shaevitz MH
- Shafaq S
- Shamma M
- Sharankova R
- Sharma HR
- Sharma R
- Shaw T
- Shepherd-Themistocleous C
- Sheshukov A
- Shin S
- Shoemaker I
- Shooltz D
- Shrock R
- Siegel H
- Simard L
- Simon F
- Sinclair J
- Sinev G
- Singh J
- Singh J
- Singh L
- Singh V
- Sipos R
- Sippach FW
- Sirri G
- Sitraka A
- Siyeon K
- Skarpaas K
- Smith A
- Smith E
- Smith P
- Smolik J
- Smy M
- Snider EL
- Snopok P
- Snowden-Ifft D
- Sobel H
- Soderberg M
- Sokolov S
- Soleti SR
- Solomey N
- Solovov V
- Sondheim WE
- Sorel M
- Sotnikov A
- Soto-Oton J
- Sousa A
- Soustruznik K
- Spagliardi F
- Spanu M
- Spitz J
- Spooner NJC
- Spurgeon K
- Staley R
- Stancari M
- Stanco L
- Stanley R
- Stein R
- Steiner HM
- Stewart J
- Stillwell B
- Stock J
- Stocker F
- Stokes T
- Strait M
- Strauss T
- Striganov S
- Stuart A
- Suarez JG
- Sullivan H
- Summers D
- Surdo A
- Susic V
- Suter L
- Sutera CM
- Svoboda R
- Szczerbinska B
- Szelc AM
- Söldner-Rembold S
- Tanaka HA
- Tapper A
- Tariq S
- Tatar E
- Tayloe R
- Teklu AM
- Tenti M
- Terao K
- Ternes CA
- Terranova F
- Terrazas IC
- Testera G
- Thakore T
- Thea A
- Thompson JL
- Thorn C
- Timm SC
- Tishchenko V
- Todd J
- Tomassetti L
- Tonazzo A
- Torbunov D
- Torti M
- Tortola M
- Tortorici F
- Tosi N
- Totani D
- Toups M
- Touramanis C
- Travaglini R
- Trevor J
- Trilov S
- Tripathi A
- Trzaska WH
- Tsai Y
- Tsai Y-T
- Tsamalaidze Z
- Tsang KV
- Tsverava N
- Tufanli S
- Tull C
- Tyley E
- Tzanov M
- Uboldi L
- Uchida MA
- Urheim J
- Usher T
- Uzunyan S
- Vagins MR
- Vahle P
- Valdiviesso GA
- Valencia E
- Valentim R
- Vallari Z
- Vallazza E
- Valle JWF
- Vallecorsa S
- Van Berg R
- Van de Water RG
- Varanini F
- Vargas D
- Varner G
- Vasel J
- Vasina S
- Vasseur G
- Vaughan N
- Vaziri K
- Vazquez WP
- Ventura S
- Verdugo A
- Vergani S
- Vermeulen MA
- Verzocchi M
- Vicenzi M
- Vignoli C
- Vilela C
- Villanueva AC
- Viren B
- Vrba T
- Wachala T
- Waldron AV
- Wallbank M
- Wallis C
- Wang H
- Wang J
- Wang L
- Wang MHLS
- Wang Y
- Wang Y
- Warburton K
- Warner D
- Wascko MO
- Waters D
- Watson A
- Weatherly P
- Weber A
- Weber M
- Wei H
- Weinstein A
- Wenman D
- Wetstein M
- White A
- Whitehead LH
- Whittington D
- Wilking MJ
- Wilkinson C
- Williams Z
- Wilson F
- Wilson RJ
- Wisniewski W
- Wolcott J
- Wongjirad T
- Wood A
- Wood K
- Worcester E
- Worcester M
- Wret C
- Wu W
- Wu W
- Xiao Y
- Xie F
- Yandel E
- Yang G
- Yang K
- Yang S
- Yang T
- Yankelevich A
- Yershov N
- Yonehara K
- Young T
- Yu B
- Yu H
- Yu H
- Yu J
- Yuan W
- Zaki R
- Zalesak J
- Zambelli L
- Zamorano B
- Zani A
- Zazueta L
- Zeller GP
- Zennamo J
- Zetina LMM
- Zeug K
- Zhang C
- Zhao M
- Zhivun E
- Zhu G
- Zilberman P
- Zimmerman ED
- Zito M
- Zucchelli S
- Zuklin J
- Zutshi V
- Zwaska R
- Publication venue
- Publication date
- Field of study
Low exposure long-baseline neutrino oscillation sensitivity of the DUNE experiment
- Author
- Abi B
- Abud AA
- Acciarri R
- Acero MA
- Adames MR
- Adamov G
- Adams D
- Adinolfi M
- Aduszkiewicz A
- Aguilar J
- Ahmad Z
- Ahmed J
- Aimard B
- Alba JLB
- Ali-Mohammadzadeh B
- Alion T
- Allison K
- Alonso MJR
- AlRashed M
- Alt C
- Alton A
- Amedo P
- Anderson J
- Andreopoulos C
- Andreotti M
- Andrews MP
- Andrianala F
- Andringa S
- Anfimov N
- Ankowski A
- Antoniassi M
- Antonova M
- Antoshkin A
- Antusch S
- Aranda-Fernandez A
- Arnold LO
- Arroyave MA
- Asaadi J
- Asquith L
- Astiz ILDI
- Aurisano A
- Aushev V
- Autiero D
- Ayala-Torres M
- Azfar F
- Back A
- Back H
- Back JJ
- Backhouse C
- Bagaturia I
- Bagby L
- Balashov N
- Balasubramanian S
- Baldi P
- Baller B
- Bambah B
- Barao F
- Barenboim G
- Barker GJ
- Barkhouse W
- Barnes C
- Barr G
- Barros A
- Barros N
- Barrow JL
- Basharina-Freshville A
- Bashyal A
- Basque V
- Battat JBR
- Battisti F
- Bay F
- Beacom JF
- Bechetoille E
- Behera B
- Belchior E
- Bellantoni L
- Bellettini G
- Bellini V
- Beltramello O
- Benekos N
- Berg RV
- Berger J
- Berkman S
- Bermeo LVG
- Bernardini P
- Berner RM
- Bertolucci S
- Betancourt M
- Bevan A
- Bezawada Y
- Bezerra TJC
- Bhardwaj A
- Bhatnagar V
- Bhattacharjee M
- Bhuller S
- Bhuyan B
- Biagi S
- Bian J
- Biassoni M
- Biery K
- Bilki B
- Bishai M
- Bitadze A
- Blake A
- Blaszczyk FDM
- Blazey GC
- Blucher E
- Boissevain J
- Bolognesi S
- Bolton T
- Bomben L
- Bonesini M
- Bongrand M
- Bonilla ER
- Bonilla-Diaz C
- Bonini F
- Bonis ID
- Booth A
- Boran F
- Bordoni S
- Borkum A
- Bostan N
- Bour P
- Bourgeois C
- Boyden D
- Bracinik J
- Braga D
- Brailsford D
- Branca A
- Brandt A
- Bremer J
- Brew C
- Brice SJ
- Brizzolari C
- Bromberg C
- Brooke J
- Bross A
- Brunetti G
- Brunetti M
- Buchanan N
- Budd H
- Bueno LM
- Butorov I
- Cagnoli I
- Caicedo DAM
- Caiulo D
- Calabrese R
- Calafiura P
- Calcutt J
- Calin M
- Calvez S
- Calvo E
- Caminata A
- Campanelli M
- Caratelli D
- Carini G
- Carlus B
- Carneiro MF
- Carniti P
- Carranza H
- Carroll T
- Castillo A
- Castromonte C
- Catano-Mur E
- Cattadori C
- Cavalier F
- Cavanna F
- Centro S
- Cerati G
- Cervelli A
- Chalifour M
- Chappell A
- Chardonnet E
- Charitonidis N
- Chatterjee A
- Chattopadhyay S
- Chen H
- Chen M
- Chen Y
- Chen Z
- Cheon Y
- Cherdack D
- Chi C
- Childress S
- Chiriacescu A
- Chisnall G
- Cho K
- Choate S
- Chokheli D
- Chong PS
- Christensen A
- Christian D
- Christodoulou G
- Chukanov A
- Chung M
- Church E
- Cicero V
- Clarke P
- Coan TE
- Cocco AG
- Coelho JAB
- Collaboration DUNE
- Colton N
- Conley E
- Conley R
- Conrad JM
- Convery M
- Copello S
- Cremaldi L
- Cremonesi L
- Crespo-Anadón JI
- Crisler M
- Cristaldo E
- Cross R
- Cudd A
- Cuesta C
- Cui Y
- Cussans D
- Dalager O
- David C
- David Q
- Davies GS
- Davini S
- Dawson J
- De K
- Debbins P
- Decowski MP
- Deisting A
- Delbart A
- Delepine D
- Delgado M
- Delgado MAR
- Dell'Acqua A
- DeMuth DM
- Dennis S
- Densham C
- Deptuch GW
- Devi R
- Dharmapalan R
- Dias M
- Diaz F
- Ding P
- Distefano C
- Diurba R
- Diwan M
- Djurcic Z
- Doering D
- Dolan S
- Dolek F
- Dolinski MJ
- Domine L
- Domizio SD
- Douglas D
- Douillet D
- Drake G
- Drielsma F
- Duarte L
- Duchesneau D
- Duffy K
- Dunne P
- Duyang H
- Dvornikov O
- Dwyer DA
- Dyshkant AS
- Díaz JS
- Eads M
- Earle A
- Edmunds D
- Eisch J
- Emberger L
- Emery S
- Ereditato A
- Erjavec T
- Escobar CO
- Eurin G
- Evans JJ
- Ewart E
- Ezeribe AC
- Fahey K
- Fajardo LSG
- Falcone A
- Fani' M
- Farnese C
- Farzan Y
- Fedoseev D
- Felix J
- Feng Y
- Fernandez-Martinez E
- Ferraro F
- Fields L
- Filip P
- Filthaut F
- Fiorentini A
- Fiorini M
- Fitzpatrick RS
- Flanagan W
- Fleming B
- Flight R
- Fogarty S
- Foreman W
- Forero DV
- Forero JFC
- Fowler J
- Fox W
- Franc J
- Francis K
- Franco D
- Freeman J
- Freestone J
- Fried J
- Friedland A
- Fuess S
- Furic IK
- Furmanski AP
- Gabrielli A
- Gago A
- Gallagher H
- Gallas A
- Gallego-Ros A
- Gallice N
- Galymov V
- Gamberini E
- Gamble T
- Ganacim F
- Gandhi R
- Gandrajula R
- Gao F
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- Publication venue
- Publication date
- Field of study
The Deep Underground Neutrino Experiment (DUNE) will produce world-leading neutrino oscillation measurements over the lifetime of the experiment. In this work, we explore DUNE's sensitivity to observe charge-parity violation (CPV) in the neutrino sector, and to resolve the mass ordering, for exposures of up to 100 kiloton-megawatt-years (kt-MW-yr). The analysis includes detailed uncertainties on the flux prediction, the neutrino interaction model, and detector effects. We demonstrate that DUNE will be able to unambiguously resolve the neutrino mass ordering at a 3σ (5σ) level, with a 66 (100) kt-MW-yr far detector exposure, and has the ability to make strong statements at significantly shorter exposures depending on the true value of other oscillation parameters. We also show that DUNE has the potential to make a robust measurement of CPV at a 3σ level with a 100 kt-MW-yr exposure for the maximally CP-violating values \delta_{\rm CP}} = \pm\pi/2. Additionally, the dependence of DUNE's sensitivity on the exposure taken in neutrino-enhanced and antineutrino-enhanced running is discussed. An equal fraction of exposure taken in each beam mode is found to be close to optimal when considered over the entire space of interest
JUNO sensitivity to 7Be, pep, and CNO solar neutrinos
- Author
- Abusleme A
- Adam T
- Ahmad S
- Ahmed R
- Aiello S
- Akram M
- Aleem A
- Alexandros T
- An FP
- An Q
- Andronico G
- Anfimov N
- Antonelli V
- Antoshkina T
- Asavapibhop B
- Auguste D
- Bai WD
- Balashov N
- Baldini W
- Barresi A
- Basilico D
- Baussan E
- Bellato M
- Beretta M
- Bergnoli A
- Bick D
- Bieger L
- Biktemerova S
- Birkenfeld T
- Blum D
- Blyth S
- Bolshakova A
- Bongrand M
- Bordereau C
- Breton D
- Brigatti A
- Brugnera R
- Bruno R
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- Busto J
- Cabrera A
- Caccianiga B
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- Cai YK
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- Callier S
- Cammi A
- Campeny A
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- Cao GF
- Cao J
- Caruso R
- Cerna C
- Cerrone V
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- Chang Y
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- Chen GM
- Chen PP
- Chen SM
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- Chen ZK
- Chen ZY
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- Chetverikov A
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- Chu ZL
- Chukanov A
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- Dalager O
- Datta J
- de André JPAM
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- Depnering W
- Di Lorenzo SC
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- Dittrich C
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- Dohnal T
- Dolzhikov D
- Donchenko G
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- Zheng H
- Zheng YH
- Zhong WR
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- Zhuang B
- Zhuang HL
- Zong L
- Zou JH
- Zwickel S
- Züfle J
- Publication venue
- Publication date
- 01/01/2023
- Field of study
The Jiangmen Underground Neutrino Observatory (JUNO), the first multi-kton liquid scintillator detector, which is under construction in China, will have a unique potential to perform a real-time measurement of solar neutrinos well below the few MeV threshold typical of Water Cherenkov detectors. JUNO's large target mass and excellent energy resolution are prerequisites for reaching unprecedented levels of precision. In this paper, we provide estimation of the JUNO sensitivity to Be-7, pep, and CNO solar neutrinos that can be obtained via a spectral analysis above the 0.45 MeV threshold. This study is performed assuming different scenarios of the liquid scintillator radiopurity, ranging from the most optimistic one corresponding to the radiopurity levels obtained by the Borexino experiment, up to the minimum requirements needed to perform the neutrino mass ordering determination with reactor antineutrinos - the main goal of JUNO. Our study shows that in most scenarios, JUNO will be able to improve the current best measurements on 7Be, pep, and CNO solar neutrino fluxes. We also perform a study on the JUNO capability to detect periodical time variations in the solar neutrino flux, such as the day-night modulation induced by neutrino flavor regeneration in Earth, and the modulations induced by temperature changes driven by helioseismic waves
Low exposure long-baseline neutrino oscillation sensitivity of the DUNE experiment
- Author
- Abi B
- Abud A Abed
- Acciarri R
- Acero MA
- Adames MR
- Adamov G
- Adams D
- Adinolfi M
- Aduszkiewicz A
- Aguilar J
- Ahmad Z
- Ahmed J
- Aimard B
- Alba JL Bazo
- Ali-Mohammadzadeh B
- Alion T
- Allison K
- Alonso MJ Rodriguez
- AlRashed M
- Alt C
- Alton A
- Amedo P
- Anderson J
- Andreopoulos C
- Andreotti M
- Andrews MP
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- Andringa S
- Anfimov N
- Ankowski A
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- Antoshkin A
- Antusch S
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- Arnold LO
- Arroyave MA
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- Bermeo LV Gomez
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- Collaboration DUNE
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- Spanu M
- Spitz J
- Spooner NJC
- Spurgeon K
- Stancari M
- Stanco L
- Stein R
- Steiner HM
- Stewart J
- Stillwell B
- Stock J
- Stocker F
- Stokes T
- Strait M
- Strauss T
- Stuart A
- Suarez JG
- Sullivan H
- Summers D
- Surdo A
- Susic V
- Suter L
- Sutera CM
- Svoboda R
- Szczerbinska B
- Szelc AM
- Söldner-Rembold S
- Tanaka HA
- Tapper A
- Tariq S
- Tatar E
- Tayloe R
- Teklu AM
- Tenti M
- Terao K
- Ternes CA
- Terranova F
- Terrazas I Caro
- Testera G
- Thakore T
- Thea A
- Thompson JL
- Thorn C
- Timm SC
- Tishchenko V
- Tomassetti L
- Tonazzo A
- Torbunov D
- Torti M
- Tortola M
- Tortorici F
- Tosi N
- Totani D
- Toups M
- Touramanis C
- Travaglini R
- Trevor J
- Trilov S
- Trzaska WH
- Tsai Y
- Tsai Y-T
- Tsamalaidze Z
- Tsang KV
- Tsverava N
- Tufanli S
- Tull C
- Tyley E
- Tzanov M
- Uboldi L
- Uchida MA
- Urheim J
- Usher T
- Uzunyan S
- Vagins MR
- Vahle P
- Valdiviesso GA
- Valentim R
- Vallari Z
- Vallazza E
- Valle JWF
- Vallecorsa S
- Varanini F
- Vargas D
- Varner G
- Vasel J
- Vasina S
- Vasseur G
- Vaughan N
- Vaziri K
- Vazquez W Panduro
- Ventura S
- Verdugo A
- Vergani S
- Vermeulen MA
- Verzocchi M
- Vicenzi M
- Vignoli C
- Vilela C
- Villanueva A Cervera
- Viren B
- Vrba T
- Wachala T
- Waldron AV
- Wallbank M
- Wallis C
- Wang H
- Wang J
- Wang L
- Wang MHLS
- Wang Y
- Wang Y
- Warburton K
- Warner D
- Wascko MO
- Water RG Van de
- Waters D
- Watson A
- Weatherly P
- Weber A
- Weber M
- Wei H
- Weinstein A
- Wenman D
- Wetstein M
- White A
- Whitehead LH
- Whittington D
- Wilking MJ
- Wilkinson C
- Williams Z
- Wilson F
- Wilson RJ
- Wisniewski W
- Wolcott J
- Wongjirad T
- Wood A
- Wood K
- Worcester E
- Worcester M
- Wret C
- Wu W
- Wu W
- Xiao Y
- Xie F
- Yandel E
- Yang G
- Yang K
- Yang T
- Yankelevich A
- Yershov N
- Yonehara K
- Young T
- Yu B
- Yu H
- Yu H
- Yu J
- Yuan W
- Zaki R
- Zalesak J
- Zambelli L
- Zamorano B
- Zani A
- Zazueta L
- Zeller GP
- Zennamo J
- Zetina LM Montano
- Zeug K
- Zhang C
- Zhao M
- Zhivun E
- Zhu G
- Zimmerman ED
- Zucchelli S
- Zuklin J
- Zutshi V
- Zwaska R
- Publication venue
- 'American Physical Society (APS)'
- Publication date
- 03/09/2021
- Field of study
The Deep Underground Neutrino Experiment (DUNE) will produce world-leading neutrino oscillation measurements over the lifetime of the experiment. In this work, we explore DUNE’s sensitivity to observe charge-parity violation (CPV) in the neutrino sector, and to resolve the mass ordering, for exposures of up to 100 kiloton-megawatt-calendar years (kt-MW-CY), where calendar years include an assumption of 57% accelerator uptime based on past accelerator performance at Fermilab. The analysis includes detailed uncertainties on the flux prediction, the neutrino interaction model, and detector effects. We demonstrate that DUNE will be able to unambiguously resolve the neutrino mass ordering at a 4 σ ( 5 σ ) level with a 66 (100) kt-MW-CY far detector exposure, and has the ability to make strong statements at significantly shorter exposures depending on the true value of other oscillation parameters, with a median sensitivity of 3 σ for almost all true δ CP values after only 24 kt-MW-CY. We also show that DUNE has the potential to make a robust measurement of CPV at a 3 σ level with a 100 kt-MW-CY exposure for the maximally CP-violating values δ CP = ± π / 2 . Additionally, the dependence of DUNE’s sensitivity on the exposure taken in neutrino-enhanced and antineutrino-enhanced running is discussed. An equal fraction of exposure taken in each beam mode is found to be close to optimal when considered over the entire space of interest