scholarly journals Improvement of low energy atmospheric neutrino flux calculation using the JAM nuclear interaction model

2011 ◽  
Vol 83 (12) ◽  
Author(s):  
M. Honda ◽  
T. Kajita ◽  
K. Kasahara ◽  
S. Midorikawa
Keyword(s):  
Atmospheric Neutrino ◽  
Neutrino Flux ◽  
Interaction Model ◽  
Nuclear Interaction ◽  
Low Energy ◽  
Flux Calculation

scholarly journals On te Reduction of the Error in the Calculation of Low Energy (<1GeV) Atmospheric Neutrino Flux

2019 ◽  
Author(s):  
Morihiro Honda ◽  
M Sajjad Athar ◽  
T. Kajita ◽  
K. Kasahara ◽  
S. Midorikawa ◽  
...  
Keyword(s):  
Atmospheric Neutrino ◽  
Neutrino Flux ◽  
Low Energy

scholarly journals Improving the prediction of the Atmospheric neutrino flux using the atmospheric muon flux

2019 ◽  
Vol 208 ◽  
pp. 07001
Author(s):  
Morihiro Honda
Keyword(s):  
Energy Range ◽  
Energy Region ◽  
Test Bench ◽  
Atmospheric Neutrino ◽  
Neutrino Flux ◽  
Interaction Model ◽  
Muon Flux ◽  
Atmospheric Neutrinos ◽  
Hadronic Interaction ◽  
Atmospheric Muon

It is well known that the correlation of atmospheric neutrinos and muons are simply correlated in the energy region of 1–10 GeV, and used for the test bench of the hadronic interaction model used for the calculation of the atmospheric neutrino flux. However, the correlation becomes unclear for neutrinos in the energy range below 1 GeV, which is important for the study of mass ordering of neutrino and CP phase of the neutrino mass. We extend the study of the correlation to the lower neutrino energies and find that the atmospheric muon flux observed at high altitude shows a good correlation to the atmospheric neutrino flux, and could be used to calibrate the hadronic interaction model.

ICECUBE-DEEPCORE-PINGU: FUNDAMENTAL NEUTRINO AND DARK MATTER PHYSICS AT THE SOUTH POLE

2011 ◽  
Vol 26 (39) ◽  
pp. 2899-2915 ◽  
Author(s):  
D. JASON KOSKINEN
Keyword(s):  
Dark Matter ◽  
Atmospheric Neutrino ◽  
Neutrino Flux ◽  
Neutrino Telescope ◽  
Low Energy ◽  
Atmospheric Neutrinos ◽  
South Pole ◽  
The South ◽  
Original Design ◽  
Successful Observation

The IceCube neutrino observatory at the South Pole uses 1 km3 of instrumented ice to detect both astrophysical and atmospheric neutrinos. Expanding the capabilities of the original design, the DeepCore sub-array is a low-energy extension to IceCube which will collect [Formula: see text] atmospheric neutrinos a year. The high statistics sample will allow DeepCore to make neutrino oscillation measurements at higher energies and longer baselines than current experiments. The first successful observation of neutrino induced cascades in a neutrino telescope has recently been observed in DeepCore, which upon further cultivation should help refine atmospheric neutrino flux models. Besides the fundamental neutrino physics, the low-energy reach of DeepCore, down to as low as 10 GeV, and multi-megaton effective volume will enhance indirect searches for WIMP-like dark matter. A new proposal seeking to lower the energy reach down to [Formula: see text] GeV known as the Phased IceCube Next Generation Upgrade (or PINGU) will also be described.

scholarly journals e- discrimination at high energy in the JUNO detector

2019 ◽  
Vol 209 ◽  
pp. 01011
Author(s):  
Giulio Settanta ◽  
Stefano Maria Mari ◽  
Cristina Martellini ◽  
Paolo Montini
Keyword(s):  
Neutrino Oscillation ◽  
Liquid Scintillator ◽  
Detection Threshold ◽  
Atmospheric Neutrino ◽  
Neutrino Flux ◽  
Cosmic Ray ◽  
Energy Detection ◽  
High Energy ◽  
Low Energy ◽  
Temporal Behaviour

Cosmic Ray and neutrino oscillation physics can be studied by using atmospheric neutrinos. JUNO (Jiangmen Underground Neutrino Observatory) is a large liquid scintillator detector with low energy detection threshold and excellent energy resolution. The detector performances allow the atmospheric neutrino oscillation measurements. In this work, a discrimination algorithm for different reaction channels of neutrino-nucleon interactions in the JUNO liquid scintillator, in the GeV/sub-GeV energy region, is presented. The atmospheric neutrino flux is taken as reference, considering $\mathop {{v_\mu }}\limits^{( - )} $ and $\mathop {{v_e}}\limits^{( - )} $. The different temporal behaviour of the classes of events have been exploited to build a timeprofile-based discrimination algorithm. The results show a good selection power for $\mathop {{v_e}}\limits^{( - )} $ CC events, while the $\mathop {{v_\mu }}\limits^{( - )} $ CC component suffers of an important contamination from NC events at low energy, which is under study. Preliminary results are presented.

scholarly journals The FLUKA atmospheric neutrino flux calculation

2003 ◽  
Vol 19 (2) ◽  
pp. 269-290 ◽  
Author(s):  
G. Battistoni ◽  
A. Ferrari ◽  
T. Montaruli ◽  
P.R. Sala
Keyword(s):  
Atmospheric Neutrino ◽  
Neutrino Flux ◽  
Flux Calculation

Erratum to “The FLUKA atmospheric neutrino flux calculation” [Astropart. Phys. 19 (2003) 269–290]

2003 ◽  
Vol 19 (2) ◽  
pp. 291-294 ◽  
Author(s):  
G Battistoni ◽  
A Ferrari ◽  
T Montaruli ◽  
P.R Sala
Keyword(s):  
Atmospheric Neutrino ◽  
Neutrino Flux ◽  
Flux Calculation

scholarly journals Study of cosmic ray interaction model based on atmospheric muons for the neutrino flux calculation

2007 ◽  
Vol 75 (4) ◽  
Author(s):  
T. Sanuki ◽  
M. Honda ◽  
T. Kajita ◽  
K. Kasahara ◽  
S. Midorikawa
Keyword(s):  
Neutrino Flux ◽  
Interaction Model ◽  
Cosmic Ray ◽  
Flux Calculation ◽  
Model Based

scholarly journals Atmospheric neutrino flux calculation using the NRLMSISE-00 atmospheric model

2015 ◽  
Vol 92 (2) ◽  
Author(s):  
M. Honda ◽  
M. Sajjad Athar ◽  
T. Kajita ◽  
K. Kasahara ◽  
S. Midorikawa
Keyword(s):  
Atmospheric Neutrino ◽  
Neutrino Flux ◽  
Atmospheric Model ◽  
Flux Calculation
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