M
M. Vakili
Researcher at California Institute of Technology
Publications - 1
Citations - 21
M. Vakili is an academic researcher from California Institute of Technology. The author has contributed to research in topics: Muon collider & Neutrino oscillation. The author has an hindex of 1, co-authored 1 publications receiving 21 citations.
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Muon energy estimate through multiple scattering with the MACRO detector
M. Ambrosio,R. Antolini,G. Auriemma,G. Auriemma,D. Bakari,A. Baldini,G. C. Barbarino,B. C. Barish,G. Battistoni,Yvonne Becherini,Roberto Bellotti,C. Bemporad,P. Bernardini,Halina Bilokon,C. Bloise,C. R. Bower,M. Brigida,Severino Angelo Maria Bussino,F. Cafagna,M. Calicchio,D. Campana,A. Candela,M. Carboni,R. Caruso,F. Cassese,S. Cecchini,Fabrizio Cei,V. Chiarella,B. C. Choudhary,S. Coutu,S. Coutu,M. Cozzi,G. de Cataldo,M. De Deo,H. Dekhissi,C. De Marzo,I. De Mitri,J. Derkaoui,M. De Vincenzi,A. Di Credico,M. D'Incecco,O. Erriquez,C. Favuzzi,C. Forti,P. Fusco,G. Giacomelli,G. Giannini,G. Giannini,N. Giglietto,M. Giorgini,M. Grassi,Lindsey Gray,A. A. Grillo,F. Guarino,C. Gustavino,Alec Habig,Kael Hanson,R.M. Heinz,E. Iarocci,E. Katsavounidis,E. Katsavounidis,Ioannis Katsavounidis,E. Kearns,Hyun-Chul Kim,S. Kyriazopoulou,E. Lamanna,E. Lamanna,C. E. Lane,D. Levin,M. Lindozzi,Paolo Lipari,Np Longley,Np Longley,M. J. Longo,F. Loparco,F. Maaroufi,G. Mancarella,G. Mandrioli,Annarita Margiotta,Andrea Carlo Marini,D. Martello,A. Marzari-Chiesa,M. N. Mazziotta,D. G. Michael,P. Monacelli,Teresa Montaruli,Marco Monteno,S. L. Mufson,J. A. Musser,Donato Nicolo,R. Nolty,C. Orth,Giuseppe Osteria,O. Palamara,Vincenzo Patera,L. Patrizii,R. Pazzi,C. W. Peck,L. Perrone,S. Petrera,P. Pistilli,V. Popa,A. Rainò,J. Reynoldson,F.J. Ronga,A. Rrhioua,C. Satriano,C. Satriano,Eugenio Scapparone,Kate Scholberg,Kate Scholberg,A. Sciubba,P. Serra,Maximiliano Sioli,G. Sirri,Mario Sitta,Mario Sitta,P. Spinelli,M. Spinetti,Maurizio Spurio,R. Steinberg,J. L. Stone,L. R. Sulak,A. Surdo,Gregory Tarle,E. Tatananni,V. Togo,M. Vakili,C. W. Walter,C. W. Walter,R. C. Webb,R. C. Webb +131 more
TL;DR: In this article, the authors used a neural network approach to reconstruct the muon energy for E μ GeV, which can be used further to obtain an estimate of the energy of muons crossing the detector.