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Acciarri R, Adams C, Asaadi J, Baller B, Basque V, Cavanna F, de Gouvêa A, Fitzpatrick RS, Fleming B, Green P, James C, Kelly KJ, Lepetic I, Luo X, Palamara O, Scanavini G, Soderberg M, Spitz J, Szelc AM, Wu W, Yang T. New Constraints on Tau-Coupled Heavy Neutral Leptons with Masses m_{N}=280-970 MeV. PHYSICAL REVIEW LETTERS 2021; 127:121801. [PMID: 34597110 DOI: 10.1103/physrevlett.127.121801] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Accepted: 08/12/2021] [Indexed: 06/13/2023]
Abstract
A search for heavy neutral leptons has been performed with the ArgoNeuT detector exposed to the NuMI neutrino beam at Fermilab. We search for the decay signature N→νμ^{+}μ^{-}, considering decays occurring both inside ArgoNeuT and in the upstream cavern. In the data, corresponding to an exposure to 1.25×10^{20} POT, zero passing events are observed consistent with the expected background. This measurement leads to a new constraint at 90% confidence level on the mixing angle |U_{τN}|^{2} of tau-coupled Dirac heavy neutral leptons with masses m_{N}=280-970 MeV, assuming |U_{eN}|^{2}=|U_{μN}|^{2}=0.
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Abratenko P, Alrashed M, An R, Anthony J, Asaadi J, Ashkenazi A, Balasubramanian S, Baller B, Barnes C, Barr G, Basque V, Bathe-Peters L, Benevides Rodrigues O, Berkman S, Bhanderi A, Bhat A, Bishai M, Blake A, Bolton T, Camilleri L, Caratelli D, Caro Terrazas I, Castillo Fernandez R, Cavanna F, Cerati G, Chen Y, Church E, Cianci D, Conrad J, Convery M, Cooper-Troendle L, Crespo-Anadón J, Del Tutto M, Dennis S, Devitt D, Diurba R, Domine L, Dorrill R, Duffy K, Dytman S, Eberly B, Ereditato A, Escudero Sanchez L, Evans J, Fiorentini Aguirre G, Fitzpatrick R, Fleming B, Foppiani N, Franco D, Furmanski A, Garcia-Gamez D, Gardiner S, Ge G, Gollapinni S, Goodwin O, Gramellini E, Green P, Greenlee H, Gu W, Guenette R, Guzowski P, Hagaman L, Hall E, Hamilton P, Hen O, Hill C, Horton-Smith G, Hourlier A, Itay R, James C, Jan de Vries J, Ji X, Jiang L, Jo J, Johnson R, Jwa YJ, Kamp N, Kaneshige N, Karagiorgi G, Ketchum W, Kirby B, Kirby M, Kobilarcik T, Kreslo I, LaZur R, Lepetic I, Li K, Li Y, Littlejohn B, Lorca D, Louis W, Luo X, Marchionni A, Mariani C, Marsden D, Marshall J, Martin-Albo J, Martinez Caicedo D, Mason K, Mastbaum A, McConkey N, Meddage V, Mettler T, Miller K, Mills J, Mistry K, Mogan A, Mohayai T, Moon J, Mooney M, Moor A, Moore C, Mora Lepin L, Mousseau J, Murphy M, Naples D, Navrer-Agasson A, Neely R, Nienaber P, Nowak J, Palamara O, Paolone V, Papadopoulou A, Papavassiliou V, Pate S, Paudel A, Pavlovic Z, Piasetzky E, Ponce-Pinto I, Porzio D, Prince S, Qian X, Raaf J, Radeka V, Rafique A, Reggiani-Guzzo M, Ren L, Rochester L, Rodriguez Rondon J, Rogers H, Rosenberg M, Ross-Lonergan M, Russell B, Scanavini G, Schmitz D, Schukraft A, Seligman W, Shaevitz M, Sharankova R, Sinclair J, Smith A, Snider E, Soderberg M, Söldner-Rembold S, Soleti S, Spentzouris P, Spitz J, Stancari M, John J, Strauss T, Sutton K, Sword-Fehlberg S, Szelc A, Tagg N, Tang W, Terao K, Thorpe C, Toups M, Tsai YT, Uchida M, Usher T, Van De Pontseele W, Viren B, Weber M, Wei H, Williams Z, Wolbers S, Wongjirad T, Wospakrik M, Wu W, Yandel E, Yang T, Yarbrough G, Yates L, Zeller G, Zennamo J, Zhang C. Measurement of the flux-averaged inclusive charged-current electron neutrino and antineutrino cross section on argon using the NuMI beam and the MicroBooNE detector. Int J Clin Exp Med 2021. [DOI: 10.1103/physrevd.104.052002] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Acciarri R, Adams C, Andreopoulos C, Asaadi J, Babicz M, Backhouse C, Badgett W, Bagby L, Barker D, Basque V, Bazetto MCQ, Betancourt M, Bhanderi A, Bhat A, Bonifazi C, Brailsford D, Brandt AG, Brooks T, Carneiro MF, Chen Y, Chen H, Chisnall G, Crespo-Anadón JI, Cristaldo E, Cuesta C, de Icaza Astiz IL, De Roeck A, de Sá Pereira G, Del Tutto M, Di Benedetto V, Ereditato A, Evans JJ, Ezeribe AC, Fitzpatrick RS, Fleming BT, Foreman W, Franco D, Furic I, Furmanski AP, Gao S, Garcia-Gamez D, Frandini H, Ge G, Gil-Botella I, Gollapinni S, Goodwin O, Green P, Griffith WC, Guenette R, Guzowski P, Ham T, Henzerling J, Holin A, Howard B, Jones RS, Kalra D, Karagiorgi G, Kashur L, Ketchum W, Kim MJ, Kudryavtsev VA, Larkin J, Lay H, Lepetic I, Littlejohn BR, Louis WC, Machado AA, Malek M, Mardsen D, Mariani C, Marinho F, Mastbaum A, Mavrokoridis K, McConkey N, Meddage V, Méndez DP, Mettler T, Mistry K, Mogan A, Molina J, Mooney M, Mora L, Moura CA, Mousseau J, Navrer-Agasson A, Nicolas-Arnaldos FJ, Nowak JA, Palamara O, Pandey V, Pater J, Paulucci L, Pimentel VL, Psihas F, Putnam G, Qian X, Raguzin E, Ray H, Reggiani-Guzzo M, Rivera D, Roda M, Ross-Lonergan M, Scanavini G, Scarff A, Schmitz DW, Schukraft A, Segreto E, Soares Nunes M, Soderberg M, Söldner-Rembold S, Spitz J, Spooner NJC, Stancari M, Stenico GV, Szelc A, Tang W, Tena Vidal J, Torretta D, Toups M, Touramanis C, Tripathi M, Tufanli S, Tyley E, Valdiviesso GA, Worcester E, Worcester M, Yarbrough G, Yu J, Zamorano B, Zennamo J, Zglam A. Cosmic Ray Background Removal With Deep Neural Networks in SBND. Front Artif Intell 2021; 4:649917. [PMID: 34505055 PMCID: PMC8421797 DOI: 10.3389/frai.2021.649917] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2021] [Accepted: 03/23/2021] [Indexed: 11/13/2022] Open
Abstract
In liquid argon time projection chambers exposed to neutrino beams and running on or near surface levels, cosmic muons, and other cosmic particles are incident on the detectors while a single neutrino-induced event is being recorded. In practice, this means that data from surface liquid argon time projection chambers will be dominated by cosmic particles, both as a source of event triggers and as the majority of the particle count in true neutrino-triggered events. In this work, we demonstrate a novel application of deep learning techniques to remove these background particles by applying deep learning on full detector images from the SBND detector, the near detector in the Fermilab Short-Baseline Neutrino Program. We use this technique to identify, on a pixel-by-pixel level, whether recorded activity originated from cosmic particles or neutrino interactions.
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Planque Y, Spitz J, Authier M, Guillou G, Vincent C, Caurant F. Trophic niche overlap between sympatric harbour seals ( Phoca vitulina) and grey seals ( Halichoerus grypus) at the southern limit of their European range (Eastern English Channel). Ecol Evol 2021; 11:10004-10025. [PMID: 34367555 PMCID: PMC8328439 DOI: 10.1002/ece3.7739] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Revised: 05/12/2021] [Accepted: 05/14/2021] [Indexed: 11/30/2022] Open
Abstract
Sympatric harbour (Phoca vitulina) and grey seals (Halichoerus grypus) are increasingly considered potential competitors, especially since recent local declines in harbour seal numbers while grey seal numbers remained stable or increased at their European core distributions. A better understanding of the interactions between these species is critical for conservation efforts. This study aimed to identify the trophic niche overlap between harbour and grey seals at the southern limit of their European range, in the Baie de Somme (BDS, Eastern English Channel, France), where numbers of resident harbour seals and visiting grey seals are increasing exponentially. Dietary overlap was identified from scat contents using hierarchical clustering. Isotopic niche overlap was quantified using δ13C and δ15N isotopic values from whiskers of 18 individuals, by estimating isotopic standard ellipses with a novel hierarchical model developed in a Bayesian framework to consider both intraindividual variability and interindividual variability. Foraging areas of these individuals were identified from telemetry data. The three independent approaches provided converging results, revealing a high trophic niche overlap due to consumption of benthic flatfish. Two diet clusters were dominated by either small or large benthic flatfish; these comprised 85.5% [CI95%: 80.3%-90.2%] of harbour seal scats and 46.8% [35.1%-58.4%] of grey seal scats. The narrower isotopic niche of harbour seals was nested within that of grey seals (58.2% [22.7%-100%] overlap). Grey seals with isotopic values similar to harbour seals foraged in coastal waters close to the BDS alike harbour seals did, suggesting the niche overlap may be due to individual grey seal strategies. Our findings therefore provide the basis for potential competition between both species (foraging on benthic flatfish close to the BDS). We suggest that a continued increase in seal numbers and/or a decrease in flatfish supply in this area could cause/amplify competitive interactions and have deleterious effects on harbour seal colonies.
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Abratenko P, Alrashed M, An R, Anthony J, Asaadi J, Ashkenazi A, Balasubramanian S, Baller B, Barnes C, Barr G, Basque V, Bathe-Peters L, Benevides Rodrigues O, Berkman S, Bhanderi A, Bhat A, Bishai M, Blake A, Bolton T, Camilleri L, Caratelli D, Caro Terrazas I, Castillo Fernandez R, Cavanna F, Cerati G, Chen Y, Church E, Cianci D, Conrad J, Convery M, Cooper-Troendle L, Crespo-Anadón J, Del Tutto M, Devitt D, Diurba R, Domine L, Dorrill R, Duffy K, Dytman S, Eberly B, Ereditato A, Escudero Sanchez L, Evans J, Fiorentini Aguirre G, Fitzpatrick R, Fleming B, Foppiani N, Franco D, Furmanski A, Garcia-Gamez D, Gardiner S, Ge G, Gollapinni S, Goodwin O, Gramellini E, Green P, Greenlee H, Gu W, Guenette R, Guzowski P, Hall E, Hamilton P, Hen O, Horton-Smith G, Hourlier A, Huang EC, Itay R, James C, Jan de Vries J, Ji X, Jiang L, Jo J, Johnson R, Jwa YJ, Kamp N, Karagiorgi G, Ketchum W, Kirby B, Kirby M, Kobilarcik T, Kreslo I, LaZur R, Lepetic I, Li K, Li Y, Littlejohn B, Lorca D, Louis W, Luo X, Marchionni A, Marcocci S, Mariani C, Marsden D, Marshall J, Martin-Albo J, Martinez Caicedo D, Mason K, Mastbaum A, McConkey N, Meddage V, Mettler T, Miller K, Mills J, Mistry K, Mogan A, Mohayai T, Moon J, Mooney M, Moor A, Moore C, Mousseau J, Murphy M, Naples D, Navrer-Agasson A, Neely R, Nienaber P, Nowak J, Palamara O, Paolone V, Papadopoulou A, Papavassiliou V, Pate S, Paudel A, Pavlovic Z, Piasetzky E, Ponce-Pinto I, Porzio D, Prince S, Qian X, Raaf J, Radeka V, Rafique A, Reggiani-Guzzo M, Ren L, Rochester L, Rodriguez Rondon J, Rogers H, Rosenberg M, Ross-Lonergan M, Russell B, Scanavini G, Schmitz D, Schukraft A, Shaevitz M, Sharankova R, Sinclair J, Smith A, Snider E, Soderberg M, Söldner-Rembold S, Soleti S, Spentzouris P, Spitz J, Stancari M, John J, Strauss T, Sutton K, Sword-Fehlberg S, Szelc A, Tagg N, Tang W, Terao K, Thorpe C, Toups M, Tsai YT, Tufanli S, Uchida M, Usher T, Van De Pontseele W, Viren B, Weber M, Wei H, Williams Z, Wolbers S, Wongjirad T, Wospakrik M, Wu W, Yang T, Yarbrough G, Yates L, Zeller G, Zennamo J, Zhang C. Convolutional neural network for multiple particle identification in the MicroBooNE liquid argon time projection chamber. Int J Clin Exp Med 2021. [DOI: 10.1103/physrevd.103.092003] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Abi B, Acciarri R, Acero MA, Adamov G, Adams D, Adinolfi M, Ahmad Z, Ahmed J, Alion T, Monsalve SA, Alt C, Anderson J, Andreopoulos C, Andrews MP, Andrianala F, Andringa S, Ankowski A, Antonova M, Antusch S, Aranda-Fernandez A, Ariga A, Arnold LO, Arroyave MA, Asaadi J, Aurisano A, Aushev V, Autiero D, Azfar F, Back H, Back JJ, Backhouse C, Baesso P, Bagby L, Bajou R, Balasubramanian S, Baldi P, Bambah B, Barao F, Barenboim G, Barker GJ, Barkhouse W, Barnes C, Barr G, Monarca JB, Barros N, Barrow JL, Bashyal A, Basque V, Bay F, Alba JLB, Beacom JF, Bechetoille E, Behera B, Bellantoni L, Bellettini G, Bellini V, Beltramello O, Belver D, Benekos N, Neves FB, Berger J, Berkman S, Bernardini P, Berner RM, 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, Siffert BB, Blaszczyk FDM, Blazey GC, Blucher E, Boissevain J, Bolognesi S, Bolton T, Bonesini M, Bongrand M, Bonini F, Booth A, Booth C, Bordoni S, Borkum A, Boschi T, Bostan N, Bour P, Boyd SB, Boyden D, Bracinik J, Braga D, Brailsford D, Brandt A, Bremer J, Brew C, Brianne E, Brice SJ, Brizzolari C, Bromberg C, Brooijmans G, Brooke J, Bross A, Brunetti G, Buchanan N, Budd H, Caiulo D, Calafiura P, Calcutt J, Calin M, Calvez S, Calvo E, Camilleri L, Caminata A, Campanelli M, Caratelli D, Carini G, Carlus B, Carniti P, Terrazas IC, Carranza H, Castillo A, Castromonte C, Cattadori C, Cavalier F, Cavanna F, Centro S, Cerati G, Cervelli A, Villanueva AC, 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 TE, Cocco AG, Coelho JAB, Conley E, Conrad JM, Convery M, Corwin L, Cotte P, Cremaldi L, Cremonesi L, Crespo-Anadón JI, Cristaldo E, Cross R, Cuesta C, Cui Y, Cussans D, Dabrowski M, da Motta H, Peres LDS, David C, David Q, Davies GS, Davini S, Dawson J, De K, De Almeida RM, Debbins P, De Bonis I, Decowski MP, de Gouvêa A, De Holanda PC, De Icaza Astiz IL, Deisting A, De Jong P, Delbart A, Delepine D, Delgado M, Dell’Acqua A, De Lurgio P, de Mello Neto JRT, DeMuth DM, Dennis S, Densham C, Deptuch G, De Roeck A, De Romeri V, De Vries JJ, Dharmapalan R, Dias M, Diaz F, Díaz JS, Di Domizio S, Di Giulio L, Ding P, Di Noto L, Distefano C, Diurba R, Diwan M, Djurcic Z, Dokania N, Dolinski MJ, Domine L, Douglas D, Drielsma F, Duchesneau D, Duffy K, Dunne P, Durkin T, Duyang H, Dvornikov O, Dwyer DA, Dyshkant AS, Eads M, Edmunds D, Eisch J, Emery S, Ereditato A, Escobar CO, Sanchez LE, Evans JJ, Ewart E, Ezeribe AC, Fahey K, Falcone A, Farnese C, Farzan Y, Felix J, Fernandez-Martinez E, Fernandez Menendez P, Ferraro F, Fields L, Filkins A, Filthaut F, Fitzpatrick RS, Flanagan W, Fleming B, Flight R, Fowler J, Fox W, Franc J, Francis K, Franco D, Freeman J, Freestone J, Fried J, Friedland A, Fuess S, Furic I, Furmanski AP, Gago A, Gallagher H, Gallego-Ros A, Gallice N, Galymov V, Gamberini E, Gamble T, Gandhi R, Gandrajula R, Gao S, Garcia-Gamez D, García-Peris MÁ, Gardiner S, Gastler D, Ge G, Gelli B, Gendotti A, Gent S, Ghorbani-Moghaddam Z, Gibin D, Gil-Botella I, Girerd C, Giri AK, Gnani D, Gogota O, Gold M, Gollapinni S, Gollwitzer K, Gomes RA, Bermeo LVG, Fajardo LSG, Gonnella F, Gonzalez-Cuevas JA, Goodman MC, Goodwin O, Goswami S, Gotti C, Goudzovski E, 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 WC, Groh M, Grudzinski J, Grzelak K, Gu W, Guarino V, Guenette R, Guglielmi A, Guo B, Guthikonda KK, Gutierrez R, Guzowski P, Guzzo MM, 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 DA, Hartnell J, Hasegawa T, Hatcher R, Hazen E, Heavey A, Heeger KM, Heise J, Hennessy K, Henry S, Morquecho MAH, Herner K, Hertel L, Hesam AS, Hewes J, Higuera A, Hill T, Hillier SJ, Himmel A, Hoff J, Hohl C, Holin A, Hoppe E, Horton-Smith GA, Hostert M, Hourlier A, Howard B, Howell R, Huang J, Huang J, Hugon J, Iles G, Ilic N, Iliescu AM, Illingworth R, Ioannisian A, Itay R, Izmaylov A, James E, Jargowsky B, Jediny F, Jesùs-Valls C, Ji X, Jiang L, Jiménez S, Jipa A, Joglekar A, Johnson C, Johnson R, Jones B, Jones S, Jung CK, Junk T, Jwa Y, Kabirnezhad M, Kaboth A, Kadenko I, Kamiya F, Karagiorgi G, Karcher A, Karolak M, Karyotakis Y, Kasai S, Kasetti SP, Kashur L, Kazaryan N, Kearns E, Keener P, Kelly KJ, Kemp E, Ketchum W, Kettell SH, Khabibullin M, Khotjantsev A, Khvedelidze A, Kim D, King B, Kirby B, Kirby M, Klein J, Koehler K, Koerner LW, Kohn S, Koller PP, Kordosky M, Kosc T, Kose U, Kostelecký VA, Kothekar K, Krennrich F, Kreslo I, Kudenko Y, Kudryavtsev VA, Kulagin S, Kumar J, Kumar R, Kuruppu C, Kus V, Kutter T, Lambert A, Lande K, Lane CE, Lang K, Langford T, Lasorak P, Last D, Lastoria C, Laundrie A, Lawrence A, Lazanu I, LaZur R, Le T, Learned J, LeBrun P, Miotto GL, Lehnert R, de Oliveira MAL, Leitner M, Leyton M, Li L, Li S, Li SW, Li T, Li Y, Liao H, Lin CS, Lin S, Lister A, Littlejohn BR, Liu J, Lockwitz S, Loew T, Lokajicek M, Lomidze I, Long K, Loo K, Lorca D, Lord T, LoSecco JM, Louis WC, Luk KB, Luo X, Lurkin N, Lux T, Luzio VP, MacFarland D, Machado AA, Machado P, Macias CT, Macier JR, Maddalena A, Madigan P, Magill S, Mahn K, Maio A, Maloney JA, Mandrioli G, Maneira J, Manenti L, Manly S, Mann A, Manolopoulos K, Plata MM, Marchionni A, Marciano W, Marfatia D, Mariani C, Maricic J, Marinho F, Marino AD, Marshak M, Marshall C, Marshall J, Marteau J, Martin-Albo J, Martinez N, Caicedo DAM, Martynenko S, Mason K, Mastbaum A, Masud M, Matsuno S, Matthews J, Mauger C, Mauri N, Mavrokoridis K, Mazza R, Mazzacane A, Mazzucato E, McCluskey E, McConkey N, McFarland KS, McGrew C, McNab A, Mefodiev A, Mehta P, Melas P, Mellinato M, Mena O, Menary S, Mendez H, Menegolli A, Meng G, Messier MD, Metcalf W, Mewes M, Meyer H, Miao T, Michna G, Miedema T, Migenda J, Milincic R, Miller W, Mills J, Milne C, Mineev O, Miranda OG, Miryala S, Mishra CS, Mishra SR, Mislivec A, Mladenov D, Mocioiu I, Moffat K, Moggi N, Mohanta R, Mohayai TA, Mokhov N, Molina J, Bueno LM, Montanari A, Montanari C, Montanari D, Zetina LMM, Moon J, Mooney M, Moor A, Moreno D, Morgan B, Morris C, Mossey C, Motuk E, Moura CA, 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-Nicolás D, Nayak N, Nebot-Guinot M, Necib L, Negishi K, Nelson JK, Nesbit J, Nessi M, Newbold D, Newcomer M, Newhart D, Nichol R, Niner E, Nishimura K, Norman A, Norrick A, Northrop R, Novella P, Nowak JA, Oberling M, Del Campo AO, Olivier A, Onel Y, Onishchuk Y, Ott J, Pagani L, Pakvasa S, Palamara O, Palestini S, Paley JM, Pallavicini M, Palomares C, Pantic E, Paolone V, Papadimitriou V, Papaleo R, Papanestis A, Paramesvaran S, Park JC, Parke S, Parsa Z, Parvu M, Pascoli S, Pasqualini L, Pasternak J, Pater J, Patrick C, Patrizii L, Patterson RB, Patton SJ, Patzak T, Paudel A, Paulos B, Paulucci L, Pavlovic Z, Pawloski G, Payne D, Pec V, Peeters SJM, Penichot Y, Pennacchio E, Penzo A, Peres OLG, Perry J, Pershey D, Pessina G, Petrillo G, Petta C, Petti R, Piastra F, Pickering L, Pietropaolo F, Pillow J, Pinzino J, Plunkett R, Poling R, Pons X, Poonthottathil N, Pordes S, Potekhin M, Potenza R, Potukuchi BVKS, Pozimski J, Pozzato M, Prakash S, Prakash T, Prince S, Prior G, Pugnere D, Qi K, Qian X, Raaf JL, Raboanary R, Radeka V, Rademacker J, Radics B, Rafique A, Raguzin E, Rai M, Rajaoalisoa M, Rakhno I, Rakotondramanana HT, Rakotondravohitra L, Ramachers YA, Rameika R, Delgado MAR, Ramson B, Rappoldi A, Raselli G, Ratoff P, Ravat S, Razafinime H, Real JS, Rebel B, Redondo D, Reggiani-Guzzo M, Rehak T, Reichenbacher J, Reitzner SD, Renshaw A, Rescia S, Resnati F, Reynolds A, Riccobene G, Rice LCJ, Rielage K, Rigaut Y, Rivera D, Rochester L, Roda M, Rodrigues P, Alonso MJR, Rondon JR, Roeth AJ, Rogers H, Rosauro-Alcaraz S, Rossella M, Rout J, Roy S, Rubbia A, Rubbia C, Russell B, Russell J, Ruterbories D, Saakyan R, Sacerdoti S, Safford T, Sahu N, Sala P, Samios N, Sanchez MC, 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, Schlabach P, Schmitz D, Scholberg K, Schukraft A, Segreto E, Sensenig J, Seong I, Sergi A, Sergiampietri F, Sgalaberna D, Shaevitz MH, Shafaq S, Shamma M, Sharma HR, Sharma R, Shaw T, Shepherd-Themistocleous C, Shin S, Shooltz D, Shrock R, Simard L, Simos N, Sinclair J, Sinev G, Singh J, Singh J, Singh V, Sipos R, Sippach FW, Sirri G, Sitraka A, Siyeon K, Smargianaki D, Smith A, Smith A, Smith E, Smith P, Smolik J, Smy M, Snopok P, Nunes MS, Sobel H, Soderberg M, Salinas CJS, Söldner-Rembold S, Solomey N, Solovov V, Sondheim WE, Sorel M, Soto-Oton J, Sousa A, Soustruznik K, Spagliardi F, Spanu M, Spitz J, Spooner NJC, Spurgeon K, Staley R, Stancari M, Stanco L, Steiner HM, Stewart J, Stillwell B, Stock J, Stocker F, Stocks D, Stokes T, Strait M, Strauss T, Striganov S, Stuart A, Summers D, Surdo A, Susic V, Suter L, Sutera CM, Svoboda R, Szczerbinska B, Szelc AM, Talaga R, Tanaka HA, Oregui BT, Tapper A, Tariq S, Tatar E, Tayloe R, Teklu AM, Tenti M, Terao K, Ternes CA, Terranova F, Testera G, Thea A, Thompson JL, Thorn C, Timm SC, Todd J, Tonazzo A, Torti M, Tortola M, Tortorici F, Totani D, Toups M, Touramanis C, Trevor J, Trzaska WH, Tsai YT, Tsamalaidze Z, Tsang KV, Tsverava N, Tufanli S, Tull C, Tyley E, Tzanov M, Uchida MA, Urheim J, Usher T, Vagins MR, Vahle P, Valdiviesso GA, Valencia E, Vallari Z, Valle JWF, Vallecorsa S, Berg RV, de Water RGV, Forero DV, Varanini F, Vargas D, Varner G, Vasel J, Vasseur G, Vaziri K, Ventura S, Verdugo A, Vergani S, Vermeulen MA, Verzocchi M, de Souza HV, Vignoli C, Vilela C, Viren B, Vrba T, Wachala T, Waldron AV, 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 MR, White A, Whitehead LH, Whittington D, Wilking MJ, Wilkinson C, Williams Z, Wilson F, Wilson RJ, 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 T, Yu B, Yu J, Zaki R, Zalesak J, Zambelli L, Zamorano B, Zani A, Zazueta L, Zeller GP, Zennamo J, Zeug K, Zhang C, Zhao M, Zhao Y, Zhivun E, Zhu G, Zimmerman ED, Zito M, Zucchelli S, Zuklin J, Zutshi V, Zwaska R. Prospects for beyond the Standard Model physics searches at the Deep Underground Neutrino Experiment: DUNE Collaboration. THE EUROPEAN PHYSICAL JOURNAL. C, PARTICLES AND FIELDS 2021; 81:322. [PMID: 34720713 PMCID: PMC8550327 DOI: 10.1140/epjc/s10052-021-09007-w] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Accepted: 02/23/2021] [Indexed: 06/13/2023]
Abstract
The Deep Underground Neutrino Experiment (DUNE) will be a powerful tool for a variety of physics topics. The high-intensity proton beams provide a large neutrino flux, sampled by a near detector system consisting of a combination of capable precision detectors, and by the massive far detector system located deep underground. This configuration sets up DUNE as a machine for discovery, as it enables opportunities not only to perform precision neutrino measurements that may uncover deviations from the present three-flavor mixing paradigm, but also to discover new particles and unveil new interactions and symmetries beyond those predicted in the Standard Model (SM). Of the many potential beyond the Standard Model (BSM) topics DUNE will probe, this paper presents a selection of studies quantifying DUNE's sensitivities to sterile neutrino mixing, heavy neutral leptons, non-standard interactions, CPT symmetry violation, Lorentz invariance violation, neutrino trident production, dark matter from both beam induced and cosmogenic sources, baryon number violation, and other new physics topics that complement those at high-energy colliders and significantly extend the present reach.
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Grants
- MR/T019530/1 Medical Research Council
- MR/T041323/1 Medical Research Council
- MSMT, Czech Republic
- NRF, South Korea
- Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
- SERI, Switzerland
- Fundação de Amparo à Pesquisa do Estado de São Paulo
- U.S. Department of Energy
- CERN
- Türkiye Bilimsel ve Teknolojik Arastirma Kurumu
- The Royal Society, United Kingdom
- Canada Foundation for Innovation
- U.S. NSF
- FCT, Portugal
- CEA, France
- CNRS/IN2P3, France
- European Regional Development Fund
- Science and Technology Facilities Council
- H2020-EU, European Union
- IPP, Canada
- Conselho Nacional de Desenvolvimento Científico e Tecnológico
- Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro
- CAM, Spain
- MSCA, European Union
- Instituto Nazionale di Fisica Nucleare
- Fundacção de Amparo à Pesquisa do Estado de Goiás
- Ministerio de Ciencia e Innovación
- Fundacion “La Caixa” Spain
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Minet A, Manceau A, Valada-Mennuni A, Brault-Favrou M, Churlaud C, Fort J, Nguyen T, Spitz J, Bustamante P, Lacoue-Labarthe T. Mercury in the tissues of five cephalopods species: First data on the nervous system. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 759:143907. [PMID: 33333333 DOI: 10.1016/j.scitotenv.2020.143907] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/30/2020] [Revised: 10/27/2020] [Accepted: 11/18/2020] [Indexed: 06/12/2023]
Abstract
Mercury (Hg), one of the elements most toxic to biota, accumulates within organisms throughout their lifespan and biomagnifies along trophic chain. Due to their key role in marine systems, cephalopods constitute a major vector of Hg in predators. Further, they grow rapidly and display complex behaviours, which can be altered by neurotoxic Hg. This study investigated Hg concentrations within 81 cephalopod specimens sampled in the Bay of Biscay, which belonged to five species: Eledone cirrhosa, Sepia officinalis, Loligo vulgaris, Todaropsis eblanae and Illex coindetii. Hg concentrations were measured in the digestive gland, the mantle muscle and the optic lobes of the brain. The digestive gland and the mantle were tissues with the most concentrated Hg among all species considered (up to 1.50 μg.g-1 dw), except E. cirrhosa. This benthic cephalopod had 1.3-fold higher Hg concentrations in the brain (up to 1.89 μg.g-1 dw) than in the mantle, while other species had 2-fold lower concentrations of Hg in the brain than in the mantle. Brain-Hg concentrations can be predicted from muscle-Hg concentrations for a given species, which facilitates the assessment of Hg toxicokinetics in cephalopods. In the most contaminated E. cirrhosa individual, the chemical form of Hg in its digestive gland, mantle muscle and optic lobes, was determined using High energy-Resolution X-ray Absorption Near Edge Structure (HR XANES) spectroscopy. In the digestive gland, 33 ± 11% of total Hg was inorganic Hg speciated as a dicysteinate complex (Hg(Cys)2), which suggested that the demethylation of dietary MeHg occurs in this organ. All Hg found in the mantle muscle and the optic lobes is methylated and bound to one cysteinyl group (MeHgCys complex), which implies that dietary MeHg is distributed to these tissues via the bloodstream. These results raised the questions regarding interspecific differences observed regarding Hg brain concentrations and the possible effect of Hg on cephalopod functional brain plasticity and behaviour.
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Abratenko P, Alrashed M, An R, Anthony J, Asaadi J, Ashkenazi A, Balasubramanian S, Baller B, Barnes C, Barr G, Basque V, Bathe-Peters L, Benevides Rodrigues O, Berkman S, Bhanderi A, Bhat A, Bishai M, Blake A, Bolton T, Camilleri L, Caratelli D, Caro Terrazas I, Castillo Fernandez R, Cavanna F, Cerati G, Chen Y, Church E, Cianci D, Cohen EO, Conrad JM, Convery M, Cooper-Troendle L, Crespo-Anadón JI, Del Tutto M, Devitt D, Diurba R, Domine L, Dorrill R, Duffy K, Dytman S, Eberly B, Ereditato A, Escudero Sanchez L, Evans JJ, Fiorentini Aguirre GA, Fitzpatrick RS, Fleming BT, Foppiani N, Franco D, Furmanski AP, Garcia-Gamez D, Gardiner S, Gollapinni S, Goodwin O, Gramellini E, Green P, Greenlee H, Gu L, Gu W, Guenette R, Guzowski P, Hall E, Hamilton P, Hen O, Horton-Smith GA, Hourlier A, Huang EC, Itay R, James C, Jan de Vries J, Ji X, Jiang L, Jo JH, Johnson RA, Jwa YJ, Kamp N, Karagiorgi G, Ketchum W, Kirby B, Kirby M, Kobilarcik T, Kreslo I, LaZur R, Lepetic I, Li K, Li Y, Littlejohn BR, Lorca D, Louis WC, Luo X, Marchionni A, Marcocci S, Mariani C, Marsden D, Marshall J, Martin-Albo J, Martinez Caicedo DA, Mason K, Mastbaum A, McConkey N, Meddage V, Mettler T, Miller K, Mills J, Mistry K, Mogan A, Mohayai T, Moon J, Mooney M, Moor AF, Moore CD, Mousseau J, Murphy M, Naples D, Navrer-Agasson A, Neely RK, Nienaber P, Nowak J, Palamara O, Paolone V, Papadopoulou A, Papavassiliou V, Pate SF, Paudel A, Pavlovic Z, Piasetzky E, Ponce-Pinto ID, Porzio D, Prince S, Qian X, Raaf JL, Radeka V, Rafique A, Reggiani-Guzzo M, Ren L, Rochester L, Rodriguez Rondon J, Rogers HE, Rosenberg M, Ross-Lonergan M, Russell B, Scanavini G, Schmitz DW, Schukraft A, Shaevitz MH, Sharankova R, Sinclair J, Smith A, Snider EL, Soderberg M, Söldner-Rembold S, Soleti SR, Spentzouris P, Spitz J, Stancari M, John JS, Strauss T, Sutton K, Sword-Fehlberg S, Szelc AM, Tagg N, Tang W, Terao K, Thornton RT, Thorpe C, Toups M, Tsai YT, Tufanli S, Uchida MA, Usher T, Van De Pontseele W, Van de Water RG, Viren B, Weber M, Wei H, Williams Z, Wolbers S, Wongjirad T, Wospakrik M, Wu W, Yang T, Yarbrough G, Yates LE, Zeller GP, Zennamo J, Zhang C. First Measurement of Differential Charged Current Quasielasticlike ν_{μ}-Argon Scattering Cross Sections with the MicroBooNE Detector. PHYSICAL REVIEW LETTERS 2020; 125:201803. [PMID: 33258649 DOI: 10.1103/physrevlett.125.201803] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Revised: 09/11/2020] [Accepted: 10/02/2020] [Indexed: 06/12/2023]
Abstract
We report on the first measurement of flux-integrated single differential cross sections for charged-current (CC) muon neutrino (ν_{μ}) scattering on argon with a muon and a proton in the final state, ^{40}Ar (ν_{μ},μp)X. The measurement was carried out using the Booster Neutrino Beam at Fermi National Accelerator Laboratory and the MicroBooNE liquid argon time projection chamber detector with an exposure of 4.59×10^{19} protons on target. Events are selected to enhance the contribution of CC quasielastic (CCQE) interactions. The data are reported in terms of a total cross section as well as single differential cross sections in final state muon and proton kinematics. We measure the integrated per-nucleus CCQE-like cross section (i.e., for interactions leading to a muon, one proton, and no pions above detection threshold) of (4.93±0.76_{stat}±1.29_{sys})×10^{-38} cm^{2}, in good agreement with theoretical calculations. The single differential cross sections are also in overall good agreement with theoretical predictions, except at very forward muon scattering angles that correspond to low-momentum-transfer events.
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Authier M, Galatius A, Gilles A, Spitz J. Of power and despair in cetacean conservation: estimation and detection of trend in abundance with noisy and short time-series. PeerJ 2020; 8:e9436. [PMID: 32844053 PMCID: PMC7416721 DOI: 10.7717/peerj.9436] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2020] [Accepted: 06/08/2020] [Indexed: 12/15/2022] Open
Abstract
Many conservation instruments rely on detecting and estimating a population decline in a target species to take action. Trend estimation is difficult because of small sample size and relatively large uncertainty in abundance/density estimates of many wild populations of animals. Focusing on cetaceans, we performed a prospective analysis to estimate power, type-I, sign (type-S) and magnitude (type-M) error rates of detecting a decline in short time-series of abundance estimates with different signal-to-noise ratio. We contrasted results from both unregularized (classical) and regularized approaches. The latter allows to incorporate prior information when estimating a trend. Power to detect a statistically significant estimates was in general lower than 80%, except for large declines. The unregularized approach (status quo) had inflated type-I error rates and gave biased (either over- or under-) estimates of a trend. The regularized approach with a weakly-informative prior offered the best trade-off in terms of bias, statistical power, type-I, type-S and type-M error rates and confidence interval coverage. To facilitate timely conservation decisions, we recommend to use the regularized approach with a weakly-informative prior in the detection and estimation of trend with short and noisy time-series of abundance estimates.
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Lambert C, Authier M, Dorémus G, Laran S, Panigada S, Spitz J, Van Canneyt O, Ridoux V. Setting the scene for Mediterranean litterscape management: The first basin-scale quantification and mapping of floating marine debris. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2020; 263:114430. [PMID: 32311635 DOI: 10.1016/j.envpol.2020.114430] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/31/2020] [Revised: 03/17/2020] [Accepted: 03/19/2020] [Indexed: 06/11/2023]
Abstract
Plastic pollution has become one of the biggest environmental concerns of the Anthropocene as it represents a major threat to both wildlife and human health. Garbage patches in the world's oceans are well documented, but quantitative assessments of floating debris are still lacking in some major areas. The Mediterranean Sea is one such area, despite being one of the most plastic polluted environments. We used data from the first international basin-scale survey of the Mediterranean Sea to provide the first abundance estimate of floating mega-debris (>30 cm) and map their distribution over the entire Mediterranean Sea. We estimated the total number of floating mega-debris at 2.9 million items, taking into account imperfect detection. Items larger than 30 cm represent only one fourth of the complete load of anthropogenic debris (>2 cm) in the Mediterranean, which scales up the estimate to 11.5 million floating debris. The highest densities were observed in the central Mediterranean, and the lowest in the eastern basin. This acute marine pollution might threaten to disrupt entire ecosystems through its impact on marine fauna (entanglement, ingestion, contamination), eventually impacting the tourism industry and the well-being of Mediterranean populations.
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Acciarri R, Adams C, Asaadi J, Baller B, Bolton T, Bromberg C, Cavanna F, Edmunds D, Fitzpatrick RS, Fleming B, Harnik R, James C, Lepetic I, Littlejohn BR, Liu Z, Luo X, Palamara O, Scanavini G, Soderberg M, Spitz J, Szelc AM, Wu W, Yang T. Improved Limits on Millicharged Particles Using the ArgoNeuT Experiment at Fermilab. PHYSICAL REVIEW LETTERS 2020; 124:131801. [PMID: 32302167 DOI: 10.1103/physrevlett.124.131801] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/22/2019] [Accepted: 03/09/2020] [Indexed: 06/11/2023]
Abstract
A search for millicharged particles, a simple extension of the standard model, has been performed with the ArgoNeuT detector exposed to the Neutrinos at the Main Injector beam at Fermilab. The ArgoNeuT liquid argon time projection chamber detector enables a search for millicharged particles through the detection of visible electron recoils. We search for an event signature with two soft hits (MeV-scale energy depositions) aligned with the upstream target. For an exposure of the detector of 1.0×10^{20} protons on target, one candidate event has been observed, compatible with the expected background. This search is sensitive to millicharged particles with charges between 10^{-3}e and 10^{-1}e and with masses in the range from 0.1 to 3 GeV. This measurement provides leading constraints on millicharged particles in this large unexplored parameter space region.
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Abratenko P, Alrashed M, An R, Anthony J, Asaadi J, Ashkenazi A, Balasubramanian S, Baller B, Barnes C, Barr G, Basque V, Berkman S, Bhanderi A, Bhat A, Bishai M, Blake A, Bolton T, Camilleri L, Caratelli D, Caro Terrazas I, Castillo Fernandez R, Cavanna F, Cerati G, Chen Y, Church E, Cianci D, Cohen E, Conrad J, Convery M, Cooper-Troendle L, Crespo-Anadón J, Del Tutto M, Devitt D, Domine L, Duffy K, Dytman S, Eberly B, Ereditato A, Escudero Sanchez L, Evans J, Fitzpatrick R, Fleming B, Foppiani N, Franco D, Furmanski A, Garcia-Gamez D, Gardiner S, Genty V, Goeldi D, Gollapinni S, Goodwin O, Gramellini E, Green P, Greenlee H, Gu L, Gu W, Guenette R, Guzowski P, Hamilton P, Hen O, Hill C, Horton-Smith G, Hourlier A, Huang EC, Itay R, James C, Jan de Vries J, Ji X, Jiang L, Jo J, Johnson R, Joshi J, Jwa YJ, Karagiorgi G, Ketchum W, Kirby B, Kirby M, Kobilarcik T, Kreslo I, LaZur R, Lepetic I, Li Y, Lister A, Littlejohn B, Lockwitz S, Lorca D, Louis W, Luethi M, Lundberg B, Luo X, Marchionni A, Marcocci S, Mariani C, Marshall J, Martin-Albo J, Martinez Caicedo D, Mason K, Mastbaum A, McConkey N, Meddage V, Mettler T, Miller K, Mills J, Mistry K, Mogan A, Mohayai T, Moon J, Mooney M, Moore C, Mousseau J, Murrells R, Naples D, Neely R, Nienaber P, Nowak J, Palamara O, Pandey V, Paolone V, Papadopoulou A, Papavassiliou V, Pate S, Paudel A, Pavlovic Z, Piasetzky E, Porzio D, Prince S, Pulliam G, Qian X, Raaf J, Radeka V, Rafique A, Ren L, Rochester L, Rogers H, Ross-Lonergan M, Rudolf von Rohr C, Russell B, Scanavini G, Schmitz D, Schukraft A, Seligman W, Shaevitz M, Sharankova R, Sinclair J, Smith A, Snider E, Soderberg M, Söldner-Rembold S, Soleti S, Spentzouris P, Spitz J, Stancari M, John JS, Strauss T, Sutton K, Sword-Fehlberg S, Szelc A, Tagg N, Tang W, Terao K, Thornton R, Toups M, Tsai YT, Tufanli S, Uchida M, Usher T, Van De Pontseele W, Van de Water R, Viren B, Weber M, Wei H, Wickremasinghe D, Williams Z, Wolbers S, Wongjirad T, Woodruff K, Wospakrik M, Wu W, Yang T, Yarbrough G, Yates L, Zeller G, Zennamo J, Zhang C. Search for heavy neutral leptons decaying into muon-pion pairs in the MicroBooNE detector. Int J Clin Exp Med 2020. [DOI: 10.1103/physrevd.101.052001] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Peltier H, Authier M, Dabin W, Dars C, Demaret F, Doremus G, Canneyt OV, Laran S, Mendez-Fernandez P, Spitz J, Daniel P, Ridoux V. Can modelling the drift of bycaught dolphin stranded carcasses help identify involved fisheries? An exploratory study. Glob Ecol Conserv 2020. [DOI: 10.1016/j.gecco.2019.e00843] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022] Open
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Abratenko P, Adams C, Alrashed M, An R, Anthony J, Asaadi J, Ashkenazi A, Auger M, Balasubramanian S, Baller B, Barnes C, Barr G, Bass M, Bay F, Bhat A, Bhattacharya K, Bishai M, Blake A, Bolton T, Camilleri L, Caratelli D, Caro Terrazas I, Carr R, Castillo Fernandez R, Cavanna F, Cerati G, Chen Y, Church E, Cianci D, Cohen EO, Collin GH, Conrad JM, Convery M, Cooper-Troendle L, Crespo-Anadón JI, Del Tutto M, Devitt D, Diaz A, Domine L, Duffy K, Dytman S, Eberly B, Ereditato A, Escudero Sanchez L, Esquivel J, Evans JJ, Fitzpatrick RS, Fleming BT, Franco D, Furmanski AP, Garcia-Gamez D, Genty V, Goeldi D, Gollapinni S, Goodwin O, Gramellini E, Greenlee H, Grosso R, Gu L, Gu W, Guenette R, Guzowski P, Hackenburg A, Hamilton P, Hen O, Hill C, Horton-Smith GA, Hourlier A, Huang EC, James C, Jan de Vries J, Ji X, Jiang L, Johnson RA, Joshi J, Jostlein H, Jwa YJ, Karagiorgi G, Ketchum W, Kirby B, Kirby M, Kobilarcik T, Kreslo I, Lepetic I, Li Y, Lister A, Littlejohn BR, Lockwitz S, Lorca D, Louis WC, Luethi M, Lundberg B, Luo X, Marchionni A, Marcocci S, Mariani C, Marshall J, Martin-Albo J, Martinez Caicedo DA, Mason K, Mastbaum A, Meddage V, Mettler T, Mills J, Mistry K, Mogan A, Moon J, Mooney M, Moore CD, Mousseau J, Murphy M, Murrells R, Naples D, Nienaber P, Nowak J, Palamara O, Pandey V, Paolone V, Papadopoulou A, Papavassiliou V, Pate SF, Pavlovic Z, Piasetzky E, Porzio D, Pulliam G, Qian X, Raaf JL, Rafique A, Ren L, Rochester L, Rogers HE, Ross-Lonergan M, Rudolf von Rohr C, Russell B, Scanavini G, Schmitz DW, Schukraft A, Seligman W, Shaevitz MH, Sharankova R, Sinclair J, Smith A, Snider EL, Soderberg M, Söldner-Rembold S, Soleti SR, Spentzouris P, Spitz J, Stancari M, John JS, Strauss T, Sutton K, Sword-Fehlberg S, Szelc AM, Tagg N, Tang W, Terao K, Thomson M, Thornton RT, Toups M, Tsai YT, Tufanli S, Usher T, Van De Pontseele W, Van de Water RG, Viren B, Weber M, Wei H, Wickremasinghe DA, Wierman K, Williams Z, Wolbers S, Wongjirad T, Woodruff K, Wu W, Yang T, Yarbrough G, Yates LE, Zeller GP, Zennamo J, Zhang C. First Measurement of Inclusive Muon Neutrino Charged Current Differential Cross Sections on Argon at E_{ν}∼0.8 GeV with the MicroBooNE Detector. PHYSICAL REVIEW LETTERS 2019; 123:131801. [PMID: 31697542 DOI: 10.1103/physrevlett.123.131801] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/08/2019] [Revised: 08/06/2019] [Indexed: 06/10/2023]
Abstract
We report the first measurement of the double-differential and total muon neutrino charged current inclusive cross sections on argon at a mean neutrino energy of 0.8 GeV. Data were collected using the MicroBooNE liquid argon time projection chamber located in the Fermilab Booster neutrino beam and correspond to 1.6×10^{20} protons on target of exposure. The measured differential cross sections are presented as a function of muon momentum, using multiple Coulomb scattering as a momentum measurement technique, and the muon angle with respect to the beam direction. We compare the measured cross sections to multiple neutrino event generators and find better agreement with those containing more complete treatment of quasielastic scattering processes at low Q^{2}. The total flux integrated cross section is measured to be 0.693±0.010(stat)±0.165(syst)×10^{-38} cm^{2}.
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Lambert C, Authier M, Dorémus G, Gilles A, Hammond P, Laran S, Ricart A, Ridoux V, Scheidat M, Spitz J, Van Canneyt O. The effect of a multi-target protocol on cetacean detection and abundance estimation in aerial surveys. ROYAL SOCIETY OPEN SCIENCE 2019; 6:190296. [PMID: 31598284 PMCID: PMC6774977 DOI: 10.1098/rsos.190296] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/18/2019] [Accepted: 08/09/2019] [Indexed: 06/10/2023]
Abstract
A double-platform protocol was implemented in the Bay of Biscay and English Channel during the SCANS-III survey (2016). Two observation platforms using different protocols were operating on board a single aircraft: the reference platform (Scans), targeting cetaceans, and the 'Megafauna' platform, recording all the marine fauna visible at the sea surface (jellyfish to seabirds). We tested for a potential bias in small cetacean detection and density estimation when recording all marine fauna. At a small temporal scale (30 s, roughly 1.5 km), our results provided overall similar perception probabilities for both platforms. Small cetacean perception was higher following the detection of another cetacean within the previous 30 s in both platforms. The only prior target that decreased small cetacean perception during the subsequent 30 s was seabirds, in the Megafauna platform. However, at a larger scale (study area), this small-scale perception bias had no effect on the density estimates, which were similar for the two protocols. As a result, there was no evidence of lower performance regarding small cetacean population monitoring for the multi-target protocol in our study area. Because our study area was characterized by moderate cetacean densities and small spatial overlap of cetaceans and seabirds, any extrapolation to other areas or time requires caution. Nonetheless, by permitting the collection of cost-effective quantitative data for marine fauna, anthropogenic activities and marine litter at the sea surface, the multi-target protocol is valuable for optimizing logistical and financial resources to efficiently monitor biodiversity and study community ecology.
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Bouchard C, Bracken C, Dabin W, Canneyt O, Ridoux V, Spitz J, Authier M. A risk‐based forecast of extreme mortality events in small cetaceans: Using stranding data to inform conservation practice. Conserv Lett 2019. [DOI: 10.1111/conl.12639] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
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Adams C, Alrashed M, An R, Anthony J, Asaadi J, Ashkenazi A, Auger M, Balasubramanian S, Baller B, Barnes C, Barr G, Bass M, Bay F, Bhat A, Bhattacharya K, Bishai M, Blake A, Bolton T, Camilleri L, Caratelli D, Caro Terrazas I, Carr R, Castillo Fernandez R, Cavanna F, Cerati G, Chen H, Chen Y, Church E, Cianci D, Cohen E, Collin G, Conrad J, Convery M, Cooper-Troendle L, Crespo-Anadón J, Del Tutto M, Devitt D, Diaz A, Duffy K, Dytman S, Eberly B, Ereditato A, Escudero Sanchez L, Esquivel J, Evans J, Fadeeva A, Fitzpatrick R, Fleming B, Franco D, Furmanski A, Garcia-Gamez D, Genty V, Goeldi D, Gollapinni S, Goodwin O, Gramellini E, Greenlee H, Grosso R, Guenette R, Guzowski P, Hackenburg A, Hamilton P, Hen O, Hewes J, Hill C, Horton-Smith G, Hourlier A, Huang EC, James C, Jan de Vries J, Ji X, Jiang L, Johnson R, Joshi J, Jostlein H, Jwa YJ, Karagiorgi G, Ketchum W, Kirby B, Kirby M, Kobilarcik T, Kreslo I, Lepetic I, Li Y, Lister A, Littlejohn B, Lockwitz S, Lorca D, Louis W, Luethi M, Lundberg B, Luo X, Marchionni A, Marcocci S, Mariani C, Marshall J, Martin-Albo J, Martinez Caicedo D, Mastbaum A, Meddage V, Mettler T, Mistry K, Mogan A, Moon J, Mooney M, Moore C, Mousseau J, Murphy M, Murrells R, Naples D, Nienaber P, Nowak J, Palamara O, Pandey V, Paolone V, Papadopoulou A, Papavassiliou V, Pate S, Pavlovic Z, Piasetzky E, Porzio D, Pulliam G, Qian X, Raaf J, Rafique A, Ren L, Rochester L, Ross-Lonergan M, Rudolf von Rohr C, Russell B, Scanavini G, Schmitz D, Schukraft A, Seligman W, Shaevitz M, Sharankova R, Sinclair J, Smith A, Snider E, Soderberg M, Söldner-Rembold S, Soleti S, Spentzouris P, Spitz J, John JS, Strauss T, Sutton K, Sword-Fehlberg S, Szelc A, Tagg N, Tang W, Terao K, Thomson M, Thornton R, Toups M, Tsai YT, Tufanli S, Usher T, Van De Pontseele W, Van de Water R, Viren B, Weber M, Wei H, Wickremasinghe D, Wierman K, Williams Z, Wolbers S, Wongjirad T, Woodruff K, Yang T, Yarbrough G, Yates L, Zeller G, Zennamo J, Zhang C. First measurement of
νμ
charged-current
π0
production on argon with the MicroBooNE detector. Int J Clin Exp Med 2019. [DOI: 10.1103/physrevd.99.091102] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Acciarri R, Adams C, Asaadi J, Baller B, Bolton T, Bromberg C, Cavanna F, Church E, Edmunds D, Ereditato A, Farooq S, Ferrari A, Fitzpatrick R, Fleming B, Hackenburg A, Horton-Smith G, James C, Lang K, Lantz M, Lepetic I, Littlejohn B, Luo X, Mehdiyev R, Page B, Palamara O, Rebel B, Sala P, Scanavini G, Schukraft A, Smirnov G, Soderberg M, Spitz J, Szelc A, Weber M, Wu W, Yang T, Zeller G. Demonstration of MeV-scale physics in liquid argon time projection chambers using ArgoNeuT. Int J Clin Exp Med 2019. [DOI: 10.1103/physrevd.99.012002] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Méndez-Fernandez P, Kiszka JJ, Heithaus MR, Beal A, Vandersarren G, Caurant F, Spitz J, Taniguchi S, Montone RC. From banana fields to the deep blue: Assessment of chlordecone contamination of oceanic cetaceans in the eastern Caribbean. MARINE POLLUTION BULLETIN 2018; 137:56-60. [PMID: 30503469 DOI: 10.1016/j.marpolbul.2018.10.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/16/2018] [Revised: 10/01/2018] [Accepted: 10/03/2018] [Indexed: 06/09/2023]
Abstract
In the French West Indies (Caribbean), the insecticide Chlordecone (CLD) has been extensively used to reduce banana weevil (Cosmopolites sordidus) infestations in banana plantations. Previous studies have shown high CLD concentrations in freshwater and coastal communities of the region. CLD concentrations, however, have not yet been assessed in marine top predators. We investigated CLD concentrations in cetacean blubber tissues from Guadeloupe, including Physeter macrocephalus, Lagenodelphis hosei, Stenella attenuata and Pseudorca crassidens. Chlordecone was detected in all blubber samples analysed, with the exception of four P. macrocephalus. Concentrations (range: 1 to 329 ng·g-1 of lipid weight) were, however, lower than those found in species from fresh and brackish water. Ecological factors (open ocean habitat), CLD kinetics, and cetacean metabolism (high or specific enzymatic activity) might explain low concentrations found in cetacean blubber. Future analyses that include internal organ sampling would help to confirm CLD levels observed in this study.
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Aguilar-Arevalo AA, Brown BC, Bugel L, Cheng G, Conrad JM, Cooper RL, Dharmapalan R, Diaz A, Djurcic Z, Finley DA, Ford R, Garcia FG, Garvey GT, Grange J, Huang EC, Huelsnitz W, Ignarra C, Johnson RA, Karagiorgi G, Katori T, Kobilarcik T, Louis WC, Mariani C, Marsh W, Mills GB, Mirabal J, Monroe J, Moore CD, Mousseau J, Nienaber P, Nowak J, Osmanov B, Pavlovic Z, Perevalov D, Ray H, Roe BP, Russell AD, Shaevitz MH, Spitz J, Stancu I, Tayloe R, Thornton RT, Tzanov M, Van de Water RG, White DH, Wickremasinghe DA, Zimmerman ED. Significant Excess of Electronlike Events in the MiniBooNE Short-Baseline Neutrino Experiment. PHYSICAL REVIEW LETTERS 2018; 121:221801. [PMID: 30547637 DOI: 10.1103/physrevlett.121.221801] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/30/2018] [Revised: 09/28/2018] [Indexed: 06/09/2023]
Abstract
The MiniBooNE experiment at Fermilab reports results from an analysis of ν_{e} appearance data from 12.84×10^{20} protons on target in neutrino mode, an increase of approximately a factor of 2 over previously reported results. A ν_{e} charged-current quasielastic event excess of 381.2±85.2 events (4.5σ) is observed in the energy range 200<E_{ν}^{QE}<1250 MeV. Combining these data with the ν[over ¯]_{e} appearance data from 11.27×10^{20} protons on target in antineutrino mode, a total ν_{e} plus ν[over ¯]_{e} charged-current quasielastic event excess of 460.5±99.0 events (4.7σ) is observed. If interpreted in a two-neutrino oscillation model, ν_{μ}→ν_{e}, the best oscillation fit to the excess has a probability of 21.1%, while the background-only fit has a χ^{2} probability of 6×10^{-7} relative to the best fit. The MiniBooNE data are consistent in energy and magnitude with the excess of events reported by the Liquid Scintillator Neutrino Detector (LSND), and the significance of the combined LSND and MiniBooNE excesses is 6.0σ. A two-neutrino oscillation interpretation of the data would require at least four neutrino types and indicate physics beyond the three neutrino paradigm. Although the data are fit with a two-neutrino oscillation model, other models may provide better fits to the data.
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Acciarri R, Adams C, Asaadi J, Baller B, Bolton T, Bromberg C, Cavanna F, Church E, Edmunds D, Ereditato A, Farooq S, Fitzpatrick R, Fleming B, Hackenburg A, Horton-Smith G, James C, Lang K, Lepetic I, Littlejohn B, Luo X, Mehdiyev R, Page B, Palamara O, Rebel B, Schukraft A, Scanavini G, Soderberg M, Spitz J, Szelc A, Weber M, Wu W, Yang T, Zeller G. First measurement of the cross section for
νμ
and
ν¯μ
induced single charged pion production on argon using ArgoNeuT. Int J Clin Exp Med 2018. [DOI: 10.1103/physrevd.98.052002] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Baum RP, Lorenz M, Hottenrott C, Albrecht M, Senekowitsch R, Happ J, Hertel A, Spitz J, Hör G. Radioimmunoscintigraphy Using Monoclonal Antibodies to CEA, CA 19-9 and CA 125. Int J Biol Markers 2018; 3:177-84. [PMID: 3230337 DOI: 10.1177/172460088800300306] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
131I labelled F (ab’)2 fragments of monoclonal antibodies against CA 19-9 and CEA (“radioimmunococktail” IMACIS 1) were used in a prospective study (n = 60 patients) and in a retrospective study (n = 32 patients) for the detection of colorectal carcinomas (n = 67) and other gastrointestinal CEA/CA 19-9-producing tumors (n = 32). Sensitivity was 82% and specificity 90%. Immunoscintigraphy proved useful and complementary to CT scan and sonography, especially in the diagnosis of pelvic recurrences and intra-abdominal metastases. In addition, monoclonal antibody OC 125 (IMACIS 2) was used for the detection of ovarian carcinomas (n = 10) and other CA 125 producing tumors. Immunoscintigraphy was positive in all patients (n = 18) suggesting that this radioimmunological approach could be of use in the staging, therapeutic control and earlier diagnosis of recurrent epithelial ovarian carcinoma.
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Aguilar-Arevalo AA, Brown BC, Bugel L, Cheng G, Church ED, Conrad JM, Cooper RL, Dharmapalan R, Djurcic Z, Finley DA, Fitzpatrick RS, Ford R, Garcia FG, Garvey GT, Grange J, Huelsnitz W, Ignarra C, Imlay R, Johnson RA, Jordan JR, Karagiorgi G, Katori T, Kobilarcik T, Louis WC, Mahn K, Mariani C, Marsh W, Mills GB, Mirabal J, Moore CD, Mousseau J, Nienaber P, Osmanov B, Pavlovic Z, Perevalov D, Ray H, Roe BP, Russell AD, Shaevitz MH, Spitz J, Stancu I, Tayloe R, Thornton RT, Van de Water RG, Wascko MO, White DH, Wickremasinghe DA, Zeller GP, Zimmerman ED. First Measurement of Monoenergetic Muon Neutrino Charged Current Interactions. PHYSICAL REVIEW LETTERS 2018; 120:141802. [PMID: 29694148 DOI: 10.1103/physrevlett.120.141802] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/11/2018] [Indexed: 06/08/2023]
Abstract
We report the first measurement of monoenergetic muon neutrino charged current interactions. MiniBooNE has isolated 236 MeV muon neutrino events originating from charged kaon decay at rest (K^{+}→μ^{+}ν_{μ}) at the NuMI beamline absorber. These signal ν_{μ}-carbon events are distinguished from primarily pion decay in flight ν_{μ} and ν[over ¯]_{μ} backgrounds produced at the target station and decay pipe using their arrival time and reconstructed muon energy. The significance of the signal observation is at the 3.9σ level. The muon kinetic energy, neutrino-nucleus energy transfer (ω=E_{ν}-E_{μ}), and total cross section for these events are extracted. This result is the first known-energy, weak-interaction-only probe of the nucleus to yield a measurement of ω using neutrinos, a quantity thus far only accessible through electron scattering.
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Acciarri R, Adams C, An R, Anthony J, Asaadi J, Auger M, Bagby L, Balasubramanian S, Baller B, Barnes C, Barr G, Bass M, Bay F, Bishai M, Blake A, Bolton T, Camilleri L, Caratelli D, Carls B, Castillo Fernandez R, Cavanna F, Chen H, Church E, Cianci D, Cohen E, Collin GH, Conrad JM, Convery M, Crespo-Anadón JI, Del Tutto M, Devitt A, Dytman S, Eberly B, Ereditato A, Escudero Sanchez L, Esquivel J, Fadeeva AA, Fleming BT, Foreman W, Furmanski AP, Garcia-Gamez D, Garvey GT, Genty V, Goeldi D, Gollapinni S, Graf N, Gramellini E, Greenlee H, Grosso R, Guenette R, Hackenburg A, Hamilton P, Hen O, Hewes J, Hill C, Ho J, Horton-Smith G, Hourlier A, Huang EC, James C, Jan de Vries J, Jen CM, Jiang L, Johnson RA, Joshi J, Jostlein H, Kaleko D, Karagiorgi G, Ketchum W, Kirby B, Kirby M, Kobilarcik T, Kreslo I, Laube A, Li Y, Lister A, Littlejohn BR, Lockwitz S, Lorca D, Louis WC, Luethi M, Lundberg B, Luo X, Marchionni A, Mariani C, Marshall J, Martinez Caicedo DA, Meddage V, Miceli T, Mills GB, Moon J, Mooney M, Moore CD, Mousseau J, Murrells R, Naples D, Nienaber P, Nowak J, Palamara O, Paolone V, Papavassiliou V, Pate SF, Pavlovic Z, Piasetzky E, Porzio D, Pulliam G, Qian X, Raaf JL, Rafique A, Rochester L, Rudolf von Rohr C, Russell B, Schmitz DW, Schukraft A, Seligman W, Shaevitz MH, Sinclair J, Smith A, Snider EL, Soderberg M, Söldner-Rembold S, Soleti SR, Spentzouris P, Spitz J, St. John J, Strauss T, Szelc AM, Tagg N, Terao K, Thomson M, Toups M, Tsai YT, Tufanli S, Usher T, Van De Pontseele W, Van de Water RG, Viren B, Weber M, Wickremasinghe DA, Wolbers S, Wongjirad T, Woodruff K, Yang T, Yates L, Zeller GP, Zennamo J, Zhang C. The Pandora multi-algorithm approach to automated pattern recognition of cosmic-ray muon and neutrino events in the MicroBooNE detector. THE EUROPEAN PHYSICAL JOURNAL. C, PARTICLES AND FIELDS 2018; 78:82. [PMID: 31258394 PMCID: PMC6566216 DOI: 10.1140/epjc/s10052-017-5481-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/23/2017] [Accepted: 12/18/2017] [Indexed: 06/09/2023]
Abstract
The development and operation of liquid-argon time-projection chambers for neutrino physics has created a need for new approaches to pattern recognition in order to fully exploit the imaging capabilities offered by this technology. Whereas the human brain can excel at identifying features in the recorded events, it is a significant challenge to develop an automated, algorithmic solution. The Pandora Software Development Kit provides functionality to aid the design and implementation of pattern-recognition algorithms. It promotes the use of a multi-algorithm approach to pattern recognition, in which individual algorithms each address a specific task in a particular topology. Many tens of algorithms then carefully build up a picture of the event and, together, provide a robust automated pattern-recognition solution. This paper describes details of the chain of over one hundred Pandora algorithms and tools used to reconstruct cosmic-ray muon and neutrino events in the MicroBooNE detector. Metrics that assess the current pattern-recognition performance are presented for simulated MicroBooNE events, using a selection of final-state event topologies.
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Rau H, Lohmann K, Franke C, Goretzki G, Lemb MA, Müller J, Panholzer PJ, Stelling E, Spitz J. Multicenter study of radiosynoviorthesis. Nuklearmedizin 2018. [DOI: 10.1055/s-0038-1625592] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
Abstract
Summary
Aim: Evaluation of the effectiveness of radiosynoviorthesis (RSO) in osteoarthritis and other disorders with concomitant synovitis versus rheumatoid arthritis by means of a standardized questionnaire. Patients, methods: 803 RSO treatments were monitored in 691 patients by standardized questionnaires of 7 centers in 3 countries. Patients were assigned to 3 groups according to their age (20-40, 41-60, 61-80 years). Additionally, the data were analyzed separately for patients with rheumatoid arthritis (group A) and those with osteoarthritis, psoriasis arthritis, pigmental villonodular synovitis or persistent effusions after joint replacement (group B). Results: Ameliorations of joint pain, swelling/effusion or flexibility were found in 80% of group A and 56% of group B (p <0.01). Quality of life improved in 78% of group A and 59% of group B (p <0.01). The response rate was similar for small- and large-sized joints in group A, but significantly higher for large-sized joints in group B (p <0.01). The positive effects on joint pain, swell-ing/effusion or flexibility lasted longer in group A (p <0.01). Repeated RSOs were as effective as initial ones. The clinical outcome was neither influenced by age, nor gender, nor transient immobilisation for 48 hours after RSO. Conclusion: Although slightly more efficient in rheumatoid arthritis, RSO represents an effective treatment option also in osteoarthritis and other disorders with concomitant synovitis.
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