Title of article :
Muon energy estimate through multiple scattering with the MACRO detector
Author/Authors :
Ambrosio، نويسنده , , M. F. Antolini، نويسنده , , R. and Auriemma، نويسنده , , G. and Bakari، نويسنده , , D. and Baldini، نويسنده , , A. and Barbarino، نويسنده , , G.C. and Barish، نويسنده , , B.C. and Battistoni، نويسنده , , G. and Becherini، نويسنده , , Y. and Bellotti، نويسنده , , R. and Bemporad، نويسنده , , C. and Bernardini، نويسنده , , P. and Bilokon، نويسنده , , H. and Bloise، نويسنده , , C. and Bower، نويسنده , , C. and B، نويسنده ,
Pages :
11
From page :
376
To page :
386
Abstract :
Muon energy measurement represents an important issue for any experiment addressing neutrino-induced up-going muon studies. Since the neutrino oscillation probability depends on the neutrino energy, a measurement of the muon energy adds an important piece of information concerning the neutrino system. We show in this paper how the MACRO limited streamer tube system can be operated in drift mode by using the TDCs included in the QTPs, an electronics designed for magnetic monopole search. An improvement of the space resolution is obtained, through an analysis of the multiple scattering of muon tracks as they pass through our detector. This information can be used further to obtain an estimate of the energy of muons crossing the detector. Here we present the results of two dedicated tests, performed at CERN PS-T9 and SPS-X7 beam lines, to provide a full check of the electronics and to exploit the feasibility of such a multiple scattering analysis. We show that by using a neural network approach, we are able to reconstruct the muon energy for Eμ<40 GeV. The test beam data provide an absolute energy calibration, which allows us to apply this method to MACRO data.
Keywords :
multiple scattering , Neutrino oscillation , muons , neural network
Journal title :
Astroparticle Physics
Record number :
2020627
Link To Document :
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