Neutrino visible decay in the presence of matter is re-evaluated. We study these effects in two future long-baseline experiments where matter effects are relevant: DUNE (1300 km) and a hypothetical ...beam aimed towards ANDES (7650 km). We find that matter effects are negligible for the visible component of neutrino decay at DUNE, being much more relevant at ANDES. We perform a detailed simulation of DUNE, considering
ν
μ
disappearance and
ν
e
appearance channels, for both FHC and RHC modes. The sensitivity to the decay constant
α
3
can be as low as
2
×
10
-
6
eV
2
at 90% C.L., depending on the neutrino masses and type of coupling. We also show the impact of neutrino decay in the determination of
θ
23
and
δ
CP
, and find that the best-fit value of
θ
23
can move from a true value at the lower octant towards the higher octant.
Celotno besedilo
Dostopno za:
DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
Accelerator based neutrino oscillation experiments seek to measure the relative number of electron and muon (anti)neutrinos at different L / E values. However high statistics studies of neutrino ...interactions are almost exclusively measured using muon (anti)neutrinos since the dominant flavor of neutrinos produced by accelerator based beams are of the muon type. This work reports new measurements of electron (anti)neutrinos interactions in hydrocarbon, obtained by strongly suppressing backgrounds initiated by muon flavor (anti)neutrinos. Double differential cross sections as a function of visible energy transfer, E avail , and transverse momentum transfer, p T , or three momentum transfer, q 3 are presented. Published by the American Physical Society 2024
Neutron production in antineutrino interactions can lead to bias in energy reconstruction in neutrino oscillation experiments, but these interactions have rarely been studied. MINERvA previously ...studied neutron production at an average antineutrino energy of ~3 GeV in 2016 and found deficiencies in leading models. In this paper, the MINERvA 6 GeV average antineutrino energy dataset is shown to have similar disagreements. A measurement of the cross section for an antineutrino to produce two or more neutrons and have low visible energy is presented as an experiment-independent way to explore neutron production modeling. This cross section disagrees with several leading models’ predictions. Neutron modeling techniques from nuclear physics are used to quantify neutron detection uncertainties on this result.
We present measurements of the cross section for anti-neutrino charged-current quasielastic-like scattering on hydrocarbon using the medium energy NuMI wide-band neutrino beam peaking at antineutrino ...energy $\langle E_\bar{v} \rangle$ 6 GeV. The measurements are presented as a function of the longitudinal momentum ($p_{||}$) and transverse momentum ($p_{T}$) of the final state muon. This work complements our previously reported high statistics measurement in the neutrino channel and extends the previous anti-neutrino measurement made in the low energy beam at $\langle E_\bar{v} \rangle$ ~ 3.5 GeV out to $p_{T}$ of 2.5 GeV/c. Current theoretical models do not completely describe the data in this previously unexplored high $p_{T}$ region. The single differential cross section as a function of four momentum transfer ($Q^{2}_{QE}$) now extends to 4 GeV2 with high statistics. The cross section as a function of $Q^{2}_{QE}$ shows that the tuned simulations developed by the MINERvA collaboration that agreed well with the low energy beam measurements do not agree as well with the medium energy beam measurements. Newer neutrino interaction models such as the GENIE 3 tunes are better able to simulate the high $Q^{2}_{QE}$.
Abstract
We compare different neural network architectures for
machine learning algorithms designed to identify the neutrino
interaction vertex position in the MINERvA detector. The
architectures ...developed and optimized by hand are compared with the
architectures developed in an automated way using the package
“Multi-node Evolutionary Neural Networks for Deep Learning”
(MENNDL), developed at Oak Ridge National Laboratory. While the
domain-expert hand-tuned network was the best performer, the
differences were negligible and the auto-generated networks
performed as well. There is always a trade-off between human, and
computer resources for network optimization and this work suggests
that automated optimization, assuming resources are available,
provides a compelling way to save significant expert time.
Elastic neutrino scattering on electrons is a precisely known purely leptonic process that provides a standard candle for measuring neutrino flux in conventional neutrino beams. Using a total sample ...of 810 neutrino-electron scatters after background subtraction, the measurement reduces the normalization uncertainty on the ν μ NuMI beam flux between 2 and 20 GeV from 7.6 to 3.9%. This is the most precise measurement of neutrino-electron scattering to date, will reduce uncertainties on MINER ν A's absolute cross section measurements, and demonstrates a technique that can be used in future neutrino beams such as long baseline neutrino facility.
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