Resultados de Búsqueda por Autor

artículo

Reducing model bias in a deep learning classifier using domain adversarial neural networks in the MINERvA experiment

Publicado por
Nuruzzaman, Perdue G.N., Ghosh A., Wospakrik M., Akbar F., Andrade D.A., Ascencio M., Bellantoni L., Bercellie A., Betancourt M., Vera G.F.R.C., Cai T., Carneiro M.F., Chaves J., Coplowe D., Motta H.D., Díaz G.A., Felix J., Fields L., Fine R., Gago A.M., Galindo R., Golan T., Gran R., Han J.Y., Harris D.A., Jena D., Kleykamp J., Kordosky M., Lu X.-G., Maher E., Mann W.A., Marshall C.M., McFarland K.S., McGowan A.M., Messerly B., Miller J., Nelson J.K., Nguyen C., Norrick A., Nuruzzaman N., Olivier A., Patton R., Ramírez M.A., Ransome R.D., Ray H., Ren L., Rimal D., Ruterbories D., Schellman H., Salinas C.J.S., Su H., Upadhyay S., Valencia E., Wolcott J., Yaeggy B., Young S.

Publicado 2018

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Construction support also was granted by the United States National Science Foundation under Award PHY-0619727 and by the University of Rochester. Additional support for participating scientists was provided by NSF and DOE (U.S.A.) by CAPES and CNPq (Brazil), by CoNaCyT (Mexico), by Proyecto Basal FB 0821, CONICYT PIA ACT1413, Fondecyt 3170845 and 11130133 (Chile), by PIIC (DGIP-UTFSM), by CONCYTEC, DGI-PUCP and IDI/IGI-UNI (Peru)

artículo

Antineutrino Charged-Current Reactions on Hydrocarbon with Low Momentum Transfer

Publicado por
Gran R., Betancourt M., Elkins M., Rodrigues P.A., Akbar F., Aliaga L., Andrade D.A., Bashyal A., Bellantoni L., Bercellie A., Bodek A., Bravar A., Budd H., Vera G.F.R.C., Cai T., Carneiro M.F., Coplowe D., Da Motta H., Dytman S.A., Díaz G.A., Felix J., Fields L., Fine R., Gallagher H., Ghosh A., Haider H., Han J.Y., Harris D.A., Henry S., Jena D., Kleykamp J., Kordosky M., Le T., Leistico J.R., Lovlein A., Lu X.-G., Maher E., Manly S., Mann W.A., Marshall C.M., McFarland K.S., McGowan A.M., Messerly B., Miller J., Mislivec A., Morfín J.G., Mousseau J., Naples D., Nelson J.K., Nguyen C., Norrick A., Nuruzzaman, Olivier A., Paolone V., Patrick C.E., Perdue G.N., Ramírez M.A., Ransome R.D., Ray H., Ren L., Rimal D., Ruterbories D., Schellman H., Salinas C.J.S., Su H., Sultana M., Falero S.S., Valencia E., Wolcott J., Wospakrik M., Yaeggy B., (MINERvA Collaboration)

Publicado 2018

Enlace

We report on multinucleon effects in low momentum transfer (< 0.8 GeV=c) antineutrino interactions on plastic (CH) scintillator. These data are from the 2010–2011 antineutrino phase of the MINERvA experiment at Fermilab. The hadronic energy spectrum of this inclusive sample is well described when a screening effect at a low energy transfer and a two-nucleon knockout process are added to a relativistic Fermi gas model of quasielastic, Δ resonance, and higher resonance processes. In this analysis, model elements introduced to describe previously published neutrino results have quantitatively similar benefits for this antineutrino sample. We present the results as a double-differential cross section to accelerate the investigation of alternate models for antineutrino scattering off nuclei.