scholarly journals Testing matter effects in propagation of atmospheric and long-baseline neutrinos

2011 ◽  
Vol 2011 (5) ◽  
Author(s):  
M. C. Gonzalez-Garcia ◽  
Michele Maltoni ◽  
Jordi Salvado
Keyword(s):  
Matter Effects ◽  
Long Baseline

scholarly journals DETERMINING THE SIGN OF Δ31 AT LONG BASELINE NEUTRINO EXPERIMENTS

2001 ◽  
Vol 16 (29) ◽  
pp. 1881-1886
Author(s):  
MOHAN NARAYAN ◽  
S. UMA SANKAR
Keyword(s):  
High Intensity ◽  
Low Energy ◽  
Earth’S Crust ◽  
Mixing Angle ◽  
Background Ratio ◽  
Matter Effects ◽  
Long Baseline ◽  
Earth's Crust ◽  
Neutrino Experiments

Recently it is advocated that high intensity and low energy (Eν~2 GeV ) neutrino beams should be built to probe the (13) mixing angle ϕ to a level of a few parts in 104. Experiments using such beams will have better signal-to-background ratio in searches for νμ→νe oscillations. We propose that such experiments can also determine the sign of Δ31 even if the beam consists of neutrinos only. By measuring the νμ→νe transitions in two different energy ranges, the effects due to propagation of neutrinos through earth's crust can be isolated and the sign of Δ31 can be determined. If the sensitivity of an experiment to ϕ is ε, then the same experiment is automatically sensitive to matter effects and the sign of Δ31 for values of ϕ≥2ε.

scholarly journals Matter effects in neutrino visible decay at future long-baseline experiments

2018 ◽  
Vol 78 (10) ◽  
Author(s):  
M. V. Ascencio-Sosa ◽  
A. M. Calatayud-Cadenillas ◽  
A. M. Gago ◽  
J. Jones-Pérez
Keyword(s):  
Matter Effects ◽  
Long Baseline

scholarly journals Testing matter effects in very long baseline neutrino oscillation experiments

2000 ◽  
Vol 578 (1-2) ◽  
pp. 27-57 ◽  
Author(s):  
M. Freund ◽  
M. Lindner ◽  
S.T. Petcov ◽  
A. Romanino
Keyword(s):  
Neutrino Oscillation ◽  
Matter Effects ◽  
Long Baseline

scholarly journals Development of an analysis to probe the neutrino mass ordering with atmospheric neutrinos using three years of IceCube DeepCore data

2020 ◽  
Vol 80 (1) ◽  
Author(s):  
M. G. Aartsen ◽  
M. Ackermann ◽  
J. Adams ◽  
J. A. Aguilar ◽  
M. Ahlers ◽  
...  
Keyword(s):  
Neutrino Physics ◽  
Neutrino Mass ◽  
Atmospheric Neutrinos ◽  
Oscillation Pattern ◽  
Normal Ordering ◽  
Matter Effects ◽  
Long Baseline ◽  
Systematic Uncertainties ◽  
Neutrino Experiments ◽  
Rigorous Method

AbstractThe Neutrino Mass Ordering (NMO) remains one of the outstanding questions in the field of neutrino physics. One strategy to measure the NMO is to observe matter effects in the oscillation pattern of atmospheric neutrinos above $$\sim 1\,\mathrm {GeV}$$∼1GeV, as proposed for several next-generation neutrino experiments. Moreover, the existing IceCube DeepCore detector can already explore this type of measurement. We present the development and application of two independent analyses to search for the signature of the NMO with three years of DeepCore data. These analyses include a full treatment of systematic uncertainties and a statistically-rigorous method to determine the significance for the NMO from a fit to the data. Both analyses show that the dataset is fully compatible with both mass orderings. For the more sensitive analysis, we observe a preference for normal ordering with a p-value of $$p_\mathrm {IO} = 15.3\%$$pIO=15.3% and $$\mathrm {CL}_\mathrm {s}=53.3\%$$CLs=53.3% for the inverted ordering hypothesis, while the experimental results from both analyses are consistent within their uncertainties. Since the result is independent of the value of $$\delta _\mathrm {CP}$$δCP and obtained from energies $$E_\nu \gtrsim 5\,\mathrm {GeV}$$Eν≳5GeV, it is complementary to recent results from long-baseline experiments. These analyses set the groundwork for the future of this measurement with more capable detectors, such as the IceCube Upgrade and the proposed PINGU detector.

scholarly journals Detecting matter effects in long baseline experiments

2005 ◽  
Vol 2005 (07) ◽  
pp. 058-058 ◽  
Author(s):  
Debajyoti Choudhury ◽  
Anindya Datta
Keyword(s):  
Matter Effects ◽  
Long Baseline
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