58 research outputs found
Volume I. Introduction to DUNE
- Author
- Abi B.
- Acciarri R.
- Acero M.A.
- Adamov G.
- Adams D.
- Adinolfi M.
- Ahmad Z.
- Ahmed J.
- Alba J. Bazo
- Alion T.
- Almeida R.M. De
- Alonso M. Rodriguez
- Alt C.
- Anderson J.
- Andreopoulos C.
- Andrews M.
- Andrianala F.
- Andringa S.
- Ankowski A.
- Antonova M.
- Antusch S.
- Aranda-Fernandez A.
- Ariga A.
- Arnold L.O.
- Arroyave M.A.
- Asaadi J.
- Astiz I.L. De Icaza
- Aurisano A.
- Aushev V.
- Autiero D.
- Azfar F.
- Back H.
- Back J.J.
- Backhouse C.
- Baesso P.
- Bagby L.
- Bajou R.
- Balasubramanian S.
- Baldi P.
- Bambah B.
- Barao F.
- Barenboim G.
- Barker G.
- Barkhouse Wayne A.
- Barnes C.
- Barr G.
- Barros N.
- Barrow J.L.
- Bashyal A.
- Basque V.
- Bay F.
- Beacom J.F.
- Bechetoille E.
- Behera B.
- Bellantoni L.
- Bellettini G.
- Bellini V.
- Beltramello O.
- Belver D.
- Benekos N.
- Berg R. Van
- Berger J.
- Berkman S.
- Bermeo L. Gomez
- Bernardini P.
- Berner R.M.
- Berns H.
- Bertolucci S.
- Betancourt M.
- Bezawada Y.
- Bhattacharjee M.
- 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.
- Bonesini M.
- Bongrand M.
- Bonini F.
- Bonis I. De
- Booth A.
- Booth C.
- Bordoni S.
- Borkum A.
- Boschi T.
- Bostan N.
- Bour P.
- Boyd S.
- Boyden D.
- Bracinik J.
- Braga D.
- Brailsford D.
- Brandt A.
- Bremer J.
- Brew C.
- Brianne E.
- Brice S.J.
- Brizzolari C.
- Bromberg C.
- Brooijmans G.
- Brooke J.
- Bross A.
- Brunetti G.
- Buchanan N.
- Budd H.
- Bueno L. Molina
- Caicedo D.A. Martinez
- Caiulo D.
- Calafiura P.
- Calcutt J.
- Calin M.
- Calvez S.
- Calvo E.
- Camilleri L.
- Caminata A.
- Campanelli M.
- Campo A. Olivares Del
- Caratelli D.
- Carini G.
- Carlus B.
- Carniti P.
- Carranza H.
- Castillo A.
- Castromonte C.
- Cattadori C.
- Cavalier F.
- Cavanna F.
- Centro S.
- Cerati G.
- Cervelli A.
- Chalifour M.
- Chang C.
- Chardonnet E.
- Chatterjee A.
- Chattopadhyay S.
- Chaves J.
- Chen H.
- Chen M.
- Chen Y.
- Cherdack D.
- Chi C.
- Childress S.
- Chiriacescu A.
- Cho K.
- Choubey S.
- Christensen A.
- Christian D.
- Christodoulou G.
- Church E.
- Clarke P.
- Coan T.E.
- Cocco A.G.
- Coelho J.
- Conley E.
- Conrad J.
- Convery M.
- Corwin L.
- Cotte P.
- Cremaldi L.
- Cremonesi L.
- Crespo-Anad J.I.
- Cristaldo E.
- Cross R.
- Cuesta C.
- Cui Y.
- Cussans D.
- Dabrowski M.
- David Q.
- Davies G.S.
- Davini S.
- Dawson J.
- de Oliveira M. Leigui
- de Souza H. Vieira
- de Water R.G. Van
- De K.
- Debbins P.
- Decowski M.
- Deisting A.
- Delbart A.
- Delepine D.
- Delgado M.
- Delgado M. Ramirez
- Dell\u27Acqua A.
- DeMuth D.M.
- Dennis S.
- Densham C.
- Deptuch G.
- Dharmapalan R.
- Dias M.
- Diaz F.
- Diaz J.
- Ding P.
- Distefano C.
- Diurba R.
- Diwan M.
- Djurcic Z.
- Dokania N.
- Dolinski M.
- Domine L.
- Domizio S. Di
- Douglas D.
- Drielsma F.
- Duchesneau D.
- Duffy K.
- Dunne P.
- Durkin T.
- Duyang H.
- Dvornikov O.
- Dwyer D.
- Dyshkant A.
- Eads M.
- Edmunds D.
- Eisch J.
- Emery S.
- Ereditato A.
- Escobar C.
- Evans J.J.
- Ewart E.
- Ezeribe A.C.
- Fahey K.
- Fajardo L.S. Gomez
- Falcone A.
- Farnese C.
- Farzan Y.
- Felix J.
- Fernandez-Martinez E.
- Ferraro F.
- Fields L.
- Filkins A.
- Filthaut F.
- Fitzpatrick R.S.
- Flanagan W.
- Fleming B.
- Flight R.
- Forero D. Vanegas
- Fowler J.
- Fox W.
- Franc J.
- Francis K.
- Franco D.
- Freeman J.
- Freestone J.
- Fried J.
- Friedland A.
- Fuess S.
- Furic I.
- Furmanski A.P.
- Gago A.
- Gallagher H.
- Gallego-Ros A.
- Gallice N.
- Galymov V.
- Gamberini E.
- Gamble T.
- Gandhi R.
- Gandrajula R.
- Gao S.
- Garceris M.Á.
- Garcia-Gamez D.
- Gardiner S.
- Gastler D.
- Ge G.
- Gelli B.
- Gendotti A.
- Gent S.
- Ghorbani-Moghaddam Z.
- Gibin D.
- Gil-Botella I.
- Girerd C.
- Giri A.
- Giulio L. Di
- Gnani D.
- Gogota O.
- Gold M.
- Gollapinni S.
- Gollwitzer K.
- Gomes R.A.
- Gonnella F.
- Gonzalez-Cuevas J.
- Goodman M.C.
- Goodwin O.
- Goswami S.
- Gotti C.
- Goudzovski E.
- Gouvea A. De
- Grace C.
- Graham M.
- Gramellini E.
- Gran R.
- Granados E.
- Grant A.
- Grant C.
- Gratieri D.
- Green P.
- Green S.
- Greenler L.
- Greenwood M.
- Greer J.
- Griffith C.
- Groh M.
- Grudzinski J.
- Grzelak K.
- Gu W.
- Guarino V.
- Guenette R.
- Guglielmi A.
- Guo B.
- Guthikonda K.
- Gutierrez R.
- Guzowski P.
- Guzzo M.M.
- Gwon S.
- Habig A.
- Hackenburg A.
- Hadavand H.
- Haenni R.
- Hahn A.
- Haigh J.
- Haiston J.
- Hamernik T.
- Hamilton P.
- Han J.
- Harder K.
- Harris D.A.
- Hartnell J.
- Hasegawa T.
- Hatcher R.
- Hazen E.
- Heavey A.
- Heeger K.M.
- Hennessy K.
- Henry S.
- Herner K.
- Hertel L.
- Hesam A.S.
- Hewes J.
- Hill T.
- Hillier S.J.
- Himmel A.
- Hoff J.
- Hohl C.
- Holanda P.C. De
- Holin A.
- Hoppe E.
- Horton-Smith G.A.
- Hostert M.
- Hourlier A.
- Howard B.
- Howell R.
- Huang J.
- Huang J.
- Hugon J.
- Iles G.
- Iliescu A.M.
- Illingworth R.
- Ioannisian A.
- Itay R.
- Izmaylov A.
- James E.
- Jargowsky B.
- Jediny F.
- Jesús-Valls C.
- Ji X.
- Jiang L.
- Jiménez S.
- Jipa A.
- Joglekar A.
- Johnson C.
- Johnson R.
- Jones B.
- Jones S.
- Jong P. De
- Jung C.
- Junk T.
- Jwa Y.
- Kabirnezhad M.
- Kaboth A.
- Kadenko I.
- Kamiya F.
- Karagiorgi G.
- Karcher A.
- Karolak M.
- Karyotakis Y.
- Kasai S.
- Kasetti S.P.
- Kashur L.
- Kazaryan N.
- Kearns E.
- Keener P.
- Kelly K.J.
- Kemp E.
- Ketchum W.
- Kettell S.
- Khabibullin M.
- Khotjantsev A.
- Khvedelidze A.
- Kim D.
- King B.
- Kirby B.
- Kirby M.
- Klein J.
- Koehler K.
- Koerner L.W.
- Kohn S.
- Koller P.P.
- Kordosky M.
- Kosc T.
- Kose U.
- Kostelecky V.
- Kothekar K.
- Krennrich F.
- Kreslo I.
- Kudenko Y.
- Kudryavtsev V.
- Kulagin S.
- Kumar J.
- Kumar R.
- Kuruppu C.
- Kus V.
- Kutter T.
- Lambert A.
- Lande K.
- Lane C.E.
- Lang K.
- Langford T.
- Lasorak P.
- Last D.
- Lastoria C.
- Laundrie A.
- Lawrence A.
- Lazanu I.
- LaZur R.
- Le T.
- Learned J.
- LeBrun P.
- Lehnert R.
- Leitner M.
- Leyton M.
- Li L.
- Li S.
- Li S.
- Li T.
- Li Y.
- Liao H.
- Lin C.
- Lin S.
- Lister A.
- Littlejohn B.R.
- Liu J.
- Lockwitz S.
- Loew T.
- Lokajicek M.
- Lomidze I.
- Long K.
- Loo K.
- Lorca D.
- Lord T.
- LoSecco J.
- Louis W.C.
- Luk K.
- Luo X.
- Lurgio P. De
- Lurkin N.
- Lux T.
- Luzio V.P.
- MacFarland D.
- Machado A.
- Machado P.
- Macias C.
- Macier J.
- Maddalena A.
- Madigan P.
- Magill S.
- Mahn K.
- Maio A.
- Maloney J.A.
- Mandrioli G.
- Maneira J.C.
- Manenti L.
- Manly S.
- Mann A.
- Manolopoulos K.
- Marchionni A.
- Marciano W.
- Marfatia D.
- Mariani C.
- Maricic J.
- Marinho F.
- Marino A.D.
- Marshak M.
- Marshall C.
- Marshall J.
- Marteau J.
- Martin-Albo J.
- Martinez N.
- Martynenko S.
- Mason K.
- Mastbaum A.
- Masud M.
- Matsuno S.
- Matthews J.
- Mauger C.
- Mauri N.
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- Mazza R.
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- McCluskey E.
- McConkey N.
- McFarland K.S.
- McGrew C.
- McNab A.
- Mefodiev A.
- Mehta P.
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- Mellinato M.
- Mena O.
- Menary S.
- Mendez H.
- Menegolli A.
- Menendez P. Fernandez
- Meng G.
- Messier M.
- Metcalf W.
- Mewes M.
- Meyer H.
- Miao T.
- Michna G.
- Miedema T.
- Migenda J.
- Milincic R.
- Miller W.
- Mills J.
- Milne C.
- Mineev O.
- Miotto G. Lehmann
- Miranda O.G.
- Miryala S.
- Mishra C.
- Mishra S.
- Mislivec A.
- Mladenov D.
- Mocioiu I.
- Moffat K.
- Moggi N.
- Mohanta R.
- Mohayai T.A.
- Mokhov N.
- Molina J.A.
- Monarca J. Barranco
- Monsalve S. Alonso
- Montanari A.
- Montanari C.
- Montanari D.
- Moon J.
- Mooney M.
- Moor A.
- Moreno D.
- Morgan B.
- Morquecho M. Hernandez
- Morris C.
- Mossey C.
- Motta H. Da
- Motuk E.
- Moura C.A.
- Mousseau J.
- Mu W.
- Mualem L.
- Mueller J.
- Muether M.
- Mufson S.
- Muheim F.
- Muir A.
- Mulhearn M.
- Muramatsu H.
- Murphy S.
- Musser J.
- Nachtman J.
- Nagu S.
- Nalbandyan M.
- Nandakumar R.
- Naples D.
- Narita S.
- Navas-Nicolas D.
- Nayak N.
- Nebot-Guinot M.
- Necib L.
- Negishi K.
- Nelson J.K.
- Nesbit J.
- Nessi M.
- Neto J.R. De Mello
- Neves F. Bento
- Newbold D.
- Newcomer M.
- Newhart D.
- Nichol R.
- Niner E.
- Nishimura K.
- Norman A.
- Northrop R.
- Noto L. Di
- Novella P.
- Nowak J.A.
- Nunes M. Soares
- Oberling M.
- Olivier A.
- Onel Y.
- Onishchuk Y.
- Oregui B. Tapia
- Ott J.
- Pagani L.
- Pakvasa S.
- Palamara O.
- Palestini S.
- Paley J.M.
- Pallavicini M.
- Palomares C.
- Pantic E.
- Paolone V.
- Papadimitriou V.
- Papaleo R.
- Papanestis A.
- Paramesvaran S.
- Parke S.
- Parsa Z.
- Parvu M.
- Pascoli S.
- Pasqualini L.
- Pasternak J.
- Pater J.
- Patrick C.
- Patrizii L.
- Patterson R.B.
- Patton S.
- Patzak T.
- Paudel A.
- Paulos B.
- Paulucci L.
- Pavlovic Z.
- Pawloski G.
- Payne D.
- Pec V.
- Peeters S.J.
- Penichot Y.
- Pennacchio E.
- Penzo A.
- Peres L. Da Silva
- Peres O.L.
- Perry J.
- Pershey D.
- Pessina G.
- Petrillo G.
- Petta C.
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- Piastra F.
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- Pickering L.
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- Pillow J.
- Plata M. Manrique
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- Poling R.
- Pons X.
- Poonthottathil N.
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- Potekhin M.
- Potenza R.
- Potukuchi B.V.
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- Prakash S.
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- Prince S.
- Prior G.
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- Raaf J.
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- Radics B.
- Rafique A.
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- Rajaoalisoa M.
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- Ramachers Y.
- Rameika R.
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- Ratoff P.
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- Rondon J. Rodriguez
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- Russell B.
- Russell J.
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- Sala P.
- Salinas C.J. Solano
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- Sanders D.A.
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- Santana S.
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- Sarasty C.
- Sarcevic I.
- Savage G.
- Savinov V.
- Scaramelli A.
- Scarff A.
- Scarpelli A.
- Schaffer T.
- Schellman H.
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- Schmitz D.
- Scholberg K.
- Schukraft A.
- Segreto E.
- Sensenig J.
- Seong I.
- Sergi A.
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- Sgalaberna D.
- Shaevitz M.
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- Sharma H.R.
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- Siffert B. Blanco
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- Sinclair J.
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- Sondheim W.E.
- Sorel M.
- Soto-Oton J.
- Sousa A.
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- Spagliardi F.
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- Spooner N.J.
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- Staley R.
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- Surdo A.
- Susic V.
- Suter L.
- Sutera C.
- Svoboda R.
- Szczerbinska B.
- Szelc A.
- Söldner-Rembold S.
- Talaga R.
- Tanaka H.
- Tapper A.
- Tariq S.
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- Tayloe R.
- Teklu A.
- Tenti M.
- Terao K.
- Ternes C.A.
- Terranova F.
- Terrazas I. Caro
- Testera G.
- Thea A.
- Thompson J.L.
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- Tonazzo A.
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- Uchida M.A.
- Urheim J.
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- Vahle P.
- Valdiviesso G.
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- Valle J.W.
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- Varanini F.
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- Vasel J.
- Vasseur G.
- Vaziri K.
- Ventura S.
- Verdugo A.
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- Vermeulen M.A.
- Verzocchi M.
- Vignoli C.
- Vilela C.
- Villanueva A. Cervera
- Viren B.
- Vrba T.
- Vries J. De
- Wachala T.
- Waldron A.V.
- Wallbank M.
- Wang H.
- Wang J.
- Wang Y.
- Wang Y.
- Warburton K.
- Warner D.
- Wascko M.
- Waters D.
- Watson A.
- Weatherly P.
- Weber A.
- Weber M.
- Wei H.
- Weinstein A.
- Wenman D.
- Wetstein M.
- While M.R.
- White A.
- Whitehead L.H.
- Whittington D.
- Wilking M.J.
- Wilkinson C.
- Williams Z.
- Wilson F.
- Wilson R.J.
- Wolcott J.
- Wongjirad T.
- Wood K.
- Wood L.
- Worcester E.
- Worcester M.
- Wret C.
- Wu W.
- Wu W.
- Xiao Y.
- Yang G.
- Yang T.
- Yershov N.
- Yonehara K.
- Young Tim
- Yu B.
- Yu J.
- Zalesak J.
- Zambelli L.
- Zamorano B.
- Zani A.
- Zazueta L.
- Zeller G.
- Zennamo J.
- Zetina L.M. Montano
- Zeug K.
- Zhang C.
- Zhao M.
- Zhivun E.
- Zhu G.
- Zimmerman E.D.
- Zito M.
- Zucchelli S.
- Zuklin J.
- Zutshi V.
- Zwaska R.
- Publication venue
- UND Scholarly Commons
- Publication date
- 01/08/2020
- Field of study
Get PDFThe preponderance of matter over antimatter in the early universe, the dynamics of the supernovae that produced the heavy elements necessary for life, and whether protons eventually decay—these mysteries at the forefront of particle physics and astrophysics are key to understanding the early evolution of our universe, its current state, and its eventual fate. The Deep Underground Neutrino Experiment (DUNE) is an international world-class experiment dedicated to addressing these questions as it searches for leptonic charge-parity symmetry violation, stands ready to capture supernova neutrino bursts, and seeks to observe nucleon decay as a signature of a grand unified theory underlying the standard model. The DUNE far detector technical design report (TDR) describes the DUNE physics program and the technical designs of the single- and dual-phase DUNE liquid argon TPC far detector modules. This TDR is intended to justify the technical choices for the far detector that flow down from the high-level physics goals through requirements at all levels of the Project. Volume I contains an executive summary that introduces the DUNE science program, the far detector and the strategy for its modular designs, and the organization and management of the Project. The remainder of Volume I provides more detail on the science program that drives the choice of detector technologies and on the technologies themselves. It also introduces the designs for the DUNE near detector and the DUNE computing model, for which DUNE is planning design reports. Volume II of this TDR describes DUNE\u27s physics program in detail. Volume III describes the technical coordination required for the far detector design, construction, installation, and integration, and its organizational structure. Volume IV describes the single-phase far detector technology. A planned Volume V will describe the dual-phase technology
Erratum: Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017
- Author
- Abate Degu
- Abate Kalkidan Hassen
- Abbafati Cristiana
- Abbasi Nooshin
- Abbastabar Hedayat
- Abd-Allah Foad
- Abdela Jemal
- Abdelalim Ahmed
- Abdollahpour Ibrahim
- Abdulkader Rizwan Suliankatchi
- Abebe Molla
- Abebe Zegeye
- Abera Semaw Ferede
- Abil Olifan Zewdie
- Abraha Haftom Niguse
- Abu Raddad Laith J
- Abun Rmeileh Niveen M.E
- Accrombessi Manfred Mario Kokou
- Acharya Dilaram
- Acharya Pawan
- Adamu Abdu Abdullahi
- Adane Akilew Awoke
- Adebayo Oladimeji
- Adedoyin Rufus Adesoji
- Adekanmbi Victor T
- Ademi Zanfina
- Adetokunboh Olatunji O
- Adib Mina G
- Admasie Amha
- Adsuar Jose C
- Afanvi Kossivi Agbélénko
- Afarideh Mohsen
- Afshin Ashkan
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- Thurston George D
- Tilahun Binyam Chakilu
- Tillmann Taavi
- To Quyen G
- Tobollik Myriam
- Tonelli Marcello
- Topór Ma̧dry Roman
- Torre Anna E
- Tortajada Girbés Miguel
- Touvier Mathilde
- Tovani Palone Marcos Roberto
- Towbin Jeffrey A
- Tran Bach Xuan
- Tran Khanh Bao
- Truelsen Thomas Clement
- Truong Nu Thi
- Tsadik Afewerki Gebremeskel
- Tudor Car Lorainne
- Tuzcu E. Murat
- Tymeson Hayley D
- Tyrovolas Stefanos
- Ukwaja Kingsley N
- Ullah Irfan
- Updike Rachel L
- Usman Muhammad Shariq
- Uthman Olalekan A
- Vaduganathan Muthiah
- Vaezi Afsane
- Valdez Pascual Rubén
- van Donkelaar Aaron
- Varavikova Elena A
- Varughese Santosh
- Vasankari Tommi Juhani
- Venkateswaran Vidhya
- Venketasubramanian Narayanaswamy
- Villafaina Santos
- Violante Francesco Saverio
- Vladimirov Sergey K
- Vlassov Vasiliy Victorovich
- Vollset Stein Emil
- Vos Theo
- Vosoughi Kia
- Vu Giang Thu
- Vujčić Isidora S
- Wagnew Fasil Shiferaw
- Waheed Yasir
- Waller Stephen G
- Walson Judd L
- Wang Yafeng
- Wang Yanping
- Wang Yuan Pang
- Weiderpass Elisabete
- Weintraub Robert G
- Weldegebreal Fitsum
- Werdecker Andrea
- Werkneh Adhena Ayaliew
- West James Jason
- Westerman Ronny
- Whiteford Harvey A
- Widecka Justyna
- Wijeratne Tissa
- Winkler Andrea Sylvia
- Wiyeh Alison Beriliy
- Wiysonge Charles Shey
- Wong Tienyin
- Wu Shouling
- Wu Shouling
- Xavier Denis
- Xu Gelin
- Yadgir Simon
- Yadollahpour Ali
- Yahyazadeh Jabbari Seyed Hossein
- Yamada Tomohide
- Yan Lijing L
- Yano Yuichirou
- Yaseri Mehdi
- Yasin Yasin Jemal
- Yeshaneh Alex
- Yimer Ebrahim M
- Yip Paul S.F
- Yisma Engida
- Yonemoto Naohiro
- Yoon Seokjun
- Yotebieng Marcel
- Younis Mustafa Z.“Mike”
- Yousefifard Mahmoud
- Yu Chuanhua
- Zaidi Zoubida
- Zaman Sojib Bin
- Zamani Mohammad
- Zavala-Arciniega Luis
- Zhang Anthonylin
- Zhang Hao
- Zhang Kai
- Zhou Maigeng
- Zimsen Stephanie R.M
- Zodpey Sanjay P
- Øverland Simon
- Šantrić Milićević Milena M.M
- Šekerija Mario
- Publication venue
- 'Elsevier BV'
- Publication date
- 28/06/2019
- Field of study
Get PDFInterpretation: By quantifying levels and trends in exposures to risk factors and the resulting disease burden, this assessment offers insight into where past policy and programme efforts might have been successful and highlights current priorities for public health action. Decreases in behavioural, environmental, and occupational risks have largely offset the effects of population growth and ageing, in relation to trends in absolute burden. Conversely, the combination of increasing metabolic risks and population ageing will probably continue to drive the increasing trends in non-communicable diseases at the global level, which presents both a public health challenge and opportunity. We see considerable spatiotemporal heterogeneity in levels of risk exposure and risk-attributable burden. Although levels of development underlie some of this heterogeneity, O/E ratios show risks for which countries are overperforming or underperforming relative to their level of development. As such, these ratios provide a benchmarking tool to help to focus local decision making. Our findings reinforce the importance of both risk exposure monitoring and epidemiological research to assess causal connections between risks and health outcomes, and they highlight the usefulness of the GBD study in synthesising data to draw comprehensive and robust conclusions that help to inform good policy and strategic health planning
Highly-parallelized simulation of a pixelated LArTPC on a GPU
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- Abed Abud A.
- Abi B.
- Acciarri R.
- Acero M.A.
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- Publication venue
- 'IOP Publishing'
- Publication date
- 01/01/2023
- Field of study
Get PDFThe rapid development of general-purpose computing on graphics processing units (GPGPU) is allowing the implementation of highly-parallelized Monte Carlo simulation chains for particle physics experiments. This technique is particularly suitable for the simulation of a pixelated charge readout for time projection chambers, given the large number of channels that this technology employs. Here we present the first implementation of a full microphysical simulator of a liquid argon time projection chamber (LArTPC) equipped with light readout and pixelated charge readout, developed for the DUNE Near Detector. The software is implemented with an end-to-end set of GPU-optimized algorithms. The algorithms have been written in Python and translated into CUDA kernels using Numba, a just-in-time compiler for a subset of Python and NumPy instructions. The GPU implementation achieves a speed up of four orders of magnitude compared with the equivalent CPU version. The simulation of the current induced on 10^3 pixels takes around 1 ms on the GPU, compared with approximately 10 s on the CPU. The results of the simulation are compared against data from a pixel-readout LArTPC prototype
Deep Underground Neutrino Experiment (DUNE), far detector technical design report, volume III: DUNE far detector technical coordination
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- A. Ankowski
- A. Aranda-Fernandez
- A. Ariga
- A. Aurisano
- A. Bashyal
- A. Bitadze
- A. Blake
- A. Booth
- A. Borkum
- A. Brandt
- A. Bross
- A. Caminata
- A. Castillo
- A. Cervelli
- A. Cervera Villanueva
- A. Cervera Villanueva
- A. Chatterjee
- A. Chiriacescu
- A. Christensen
- A. De Gouvea
- A. De Roeck
- A. Deisting
- A. Delbart
- A. Dell'Acqua
- A. Dyshkant
- A. Ereditato
- A. Falcone
- A. Filkins
- A. Friedland
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- A. Guglielmi
- A. Habig
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- Fermilab
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- W.H. Trzaska
- X. Ji
- X. Luo
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- X. Qian
- Y. Bezawada
- Y. Chen
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- Publication venue
- 'IOP Publishing'
- Publication date
- 01/01/2020
- Field of study
Get PDFThe preponderance of matter over antimatter in the early universe, the dynamics of the supernovae that produced the heavy elements necessary for life, and whether protons eventually decay—these mysteries at the forefront of particle physics and astrophysics are key to understanding the early evolution of our universe, its current state, and its eventual fate. The Deep Underground Neutrino Experiment (DUNE) is an international world-class experiment dedicated to addressing these questions as it searches for leptonic charge-parity symmetry violation, stands ready to capture supernova neutrino bursts, and seeks to observe nucleon decay as a signature of a grand unified theory underlying the standard model. The DUNE far detector technical design report (TDR) describes the DUNE physics program and the technical designs of the single- and dual-phase DUNE liquid argon TPC far detector modules. Volume III of this TDR describes how the activities required to design, construct, fabricate, install, and commission the DUNE far detector modules are organized and managed. This volume details the organizational structures that will carry out and/or oversee the planned far detector activities safely, successfully, on time, and on budget. It presents overviews of the facilities, supporting infrastructure, and detectors for context, and it outlines the project-related functions and methodologies used by the DUNE technical coordination organization, focusing on the areas of integration engineering, technical reviews, quality assurance and control, and safety oversight. Because of its more advanced stage of development, functional examples presented in this volume focus primarily on the single-phase (SP) detector module
Crop water productivity of irrigated teff in a water stressed region
- Publication venue
- 'Springer Science and Business Media LLC'
- Publication date
- 13/06/2014
- Field of study
No full textIn water stressed regions such as the Central Rift Valley of Ethiopia, increasing Crop Water Productivity (CWP) is imperative for sustainable food and water security. This paper presents CWP of Teff (Eragrostic Tef), a staple food in Ethiopia and an important export crop. Field experiments were conducted under irrigated agriculture during the dry seasons in the periods: 1) November 2010 to March 2011; and 2) December 2011 to April, 2012 at Melkassa Agricultural Research Centre in Ethiopia. Teff crop was irrigated at sixteen different water application depths ranging from 100 to 25 % of the optimum Crop Water Evapotranspiration (ETc.) during the four growing stages, the initial, development, mid season and late season. The effect of seeding rates of 25 kg/ha and 10 kg/ha on lodging and yield of the crop was also determined. The main results were: 1) At 25 % deficit irrigation applied for the whole growth period, Teff CWP was the highest at 1.16 and 1.08 kg/m3 respectively for the seeding rates of 25 kg/ha and 10 kg/ha; 2) the CWP slightly decreased to 1.12 and 1.07 kg/m3 when the 25 % deficit was applied during the late season stage; 3) the crop yield response factor (Ky) of 1.09 and 1.19 was obtained for seeding rates of 25 kg/ha and 10 kg/ha respectively; the equivalent biomass response factor (Ky) was less at 0.88 and 0.96 respectively
Aging and drug discovery
- Author
- Publication venue
- 'Impact Journals, LLC'
- Publication date
- 30/11/2018
- Field of study
No full textGenome Instability and Cance
New regression equations for predicting peak expiratory flow in adults.
- Author
- A. J. Nunn
- Brooks A.G.F.
- Cl Backhouse
- Connolly C.K.
- Cookson J.B.
- Cotes J.E.
- Elebute E.A.
- Ferris B.G.
- Forster P.
- Gregg I.
- Gregg I.
- Huhti E.
- I. Gregg
- Johainnsen Z.M.
- Kamat SR, Tyagi
- Lam K.K.
- Laszlo G.
- Lebowitz M.D.
- Leonards A.K.
- Malik M.A.
- Malik S.K.
- Miller A.
- Milne J.S.
- Morrill C.G.
- Morris J.F.
- Oldham H.G.
- Pelzer A.M.
- PHStandardized Quanjer
- Read J.
- Sluis-CremerGK Sichel H.S.
- Teklu B.
- Wright B.M.
- Wright B.M.
- Zamel N.
- Publication venue
- 'BMJ'
- Publication date
- Field of study
No full textDoping Liquid Argon with Xenon in ProtoDUNE Single-Phase: Effects on Scintillation Light
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- Abed Abud A
- Abi B
- Acciarri R
- Acero M.A
- Adames M.R
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- Publication venue
- HAL CCSD
- Publication date
- 08/02/2024
- Field of study
No full textInternational audienceDoping of liquid argon TPCs (LArTPCs) with a small concentration of xenon is a technique for light-shifting and facilitates the detection of the liquid argon scintillation light. In this paper, we present the results of the first doping test ever performed in a kiloton-scale LArTPC. From February to May 2020, we carried out this special run in the single-phase DUNE Far Detector prototype (ProtoDUNE-SP) at CERN, featuring 770 t of total liquid argon mass with 410 t of fiducial mass. The goal of the run was to measure the light and charge response of the detector to the addition of xenon, up to a concentration of 18.8 ppm. The main purpose was to test the possibility for reduction of non-uniformities in light collection, caused by deployment of photon detectors only within the anode planes. Light collection was analysed as a function of the xenon concentration, by using the pre-existing photon detection system (PDS) of ProtoDUNE-SP and an additional smaller set-up installed specifically for this run. In this paper we first summarize our current understanding of the argon-xenon energy transfer process and the impact of the presence of nitrogen in argon with and without xenon dopant. We then describe the key elements of ProtoDUNE-SP and the injection method deployed. Two dedicated photon detectors were able to collect the light produced by xenon and the total light. The ratio of these components was measured to be about 0.65 as 18.8 ppm of xenon were injected. We performed studies of the collection efficiency as a function of the distance between tracks and light detectors, demonstrating enhanced uniformity of response for the anode-mounted PDS. We also show that xenon doping can substantially recover light losses due to contamination of the liquid argon by nitrogen
Doping Liquid Argon with Xenon in ProtoDUNE Single-Phase: Effects on Scintillation Light
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- Publication venue
- HAL CCSD
- Publication date
- 08/02/2024
- Field of study
No full textInternational audienceDoping of liquid argon TPCs (LArTPCs) with a small concentration of xenon is a technique for light-shifting and facilitates the detection of the liquid argon scintillation light. In this paper, we present the results of the first doping test ever performed in a kiloton-scale LArTPC. From February to May 2020, we carried out this special run in the single-phase DUNE Far Detector prototype (ProtoDUNE-SP) at CERN, featuring 770 t of total liquid argon mass with 410 t of fiducial mass. The goal of the run was to measure the light and charge response of the detector to the addition of xenon, up to a concentration of 18.8 ppm. The main purpose was to test the possibility for reduction of non-uniformities in light collection, caused by deployment of photon detectors only within the anode planes. Light collection was analysed as a function of the xenon concentration, by using the pre-existing photon detection system (PDS) of ProtoDUNE-SP and an additional smaller set-up installed specifically for this run. In this paper we first summarize our current understanding of the argon-xenon energy transfer process and the impact of the presence of nitrogen in argon with and without xenon dopant. We then describe the key elements of ProtoDUNE-SP and the injection method deployed. Two dedicated photon detectors were able to collect the light produced by xenon and the total light. The ratio of these components was measured to be about 0.65 as 18.8 ppm of xenon were injected. We performed studies of the collection efficiency as a function of the distance between tracks and light detectors, demonstrating enhanced uniformity of response for the anode-mounted PDS. We also show that xenon doping can substantially recover light losses due to contamination of the liquid argon by nitrogen
Doping Liquid Argon with Xenon in ProtoDUNE Single-Phase: Effects on Scintillation Light
- Author
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- Abi B
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- Yu Y
- Yuan W
- Zaki R
- Zalesak J
- Zambelli L
- Zamorano B
- Zani A
- Zapata O
- Zazueta L
- Zeller G.P
- Zennamo J
- Zeug K
- Zhang C
- Zhang S
- Zhao M
- Zhivun E
- Zimmerman E.D
- Zucchelli S
- Zuklin J
- Zutshi V
- Publication venue
- HAL CCSD
- Publication date
- 08/02/2024
- Field of study
No full textInternational audienceDoping of liquid argon TPCs (LArTPCs) with a small concentration of xenon is a technique for light-shifting and facilitates the detection of the liquid argon scintillation light. In this paper, we present the results of the first doping test ever performed in a kiloton-scale LArTPC. From February to May 2020, we carried out this special run in the single-phase DUNE Far Detector prototype (ProtoDUNE-SP) at CERN, featuring 770 t of total liquid argon mass with 410 t of fiducial mass. The goal of the run was to measure the light and charge response of the detector to the addition of xenon, up to a concentration of 18.8 ppm. The main purpose was to test the possibility for reduction of non-uniformities in light collection, caused by deployment of photon detectors only within the anode planes. Light collection was analysed as a function of the xenon concentration, by using the pre-existing photon detection system (PDS) of ProtoDUNE-SP and an additional smaller set-up installed specifically for this run. In this paper we first summarize our current understanding of the argon-xenon energy transfer process and the impact of the presence of nitrogen in argon with and without xenon dopant. We then describe the key elements of ProtoDUNE-SP and the injection method deployed. Two dedicated photon detectors were able to collect the light produced by xenon and the total light. The ratio of these components was measured to be about 0.65 as 18.8 ppm of xenon were injected. We performed studies of the collection efficiency as a function of the distance between tracks and light detectors, demonstrating enhanced uniformity of response for the anode-mounted PDS. We also show that xenon doping can substantially recover light losses due to contamination of the liquid argon by nitrogen
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