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P. Rojas

Publications and source records attributed to P. Rojas.

2 recordsLinked to original sources

New constraints on oscillation parameters from $ν_e$ appearance and $ν_μ$ disappearance in the NOvA experiment

We present updated results from the NOvA experiment for $ν_μ\rightarrowν_μ$ and $ν_μ\rightarrowν_e$ oscillations from an exposure of $8.85\times10^{20}$ protons on target, which represents an increase of 46% compared to our previous publication. The results utilize significant improvements in both the simulations and analysis of the data. A joint fit to the data for $ν_μ$ disappearance and $ν_e$ appearance gives the best fit point as normal mass hierarchy, $Δm^2_{32} = 2.44\times 10^{-3}{{\rm eV}^2}/c^4$, $\sin^2θ_{23} = 0.56$, and $δ_{CP} = 1.21π$. The 68.3% confidence intervals in the normal mass hierarchy are $Δm^2_{32} \in [2.37,2.52]\times 10^{-3}{{\rm eV}^2}/c^4$, $\sin^2θ_{23} \in [0.43,0.51] \cup [0.52,0.60]$, and $δ_{CP} \in [0,0.12π] \cup [0.91π,2π]$. The inverted mass hierarchy is disfavored at the 95% confidence level for all choices of the other oscillation parameters.

hep-ex

Impact of noise on a dynamical system: prediction and uncertainties from a swarm-optimized neural network

In this study, an artificial neural network (ANN) based on particle swarm optimization (PSO) was developed for the time series prediction. The hybrid ANN+PSO algorithm was applied on Mackey--Glass chaotic time series in the short-term $x(t+6)$. The performance prediction was evaluated and compared with another studies available in the literature. Also, we presented properties of the dynamical system via the study of chaotic behaviour obtained from the predicted time series. Next, the hybrid ANN+PSO algorithm was complemented with a Gaussian stochastic procedure (called {\it stochastic} hybrid ANN+PSO) in order to obtain a new estimator of the predictions, which also allowed us to compute uncertainties of predictions for noisy Mackey--Glass chaotic time series. Thus, we studied the impact of noise for several cases with a white noise level ($σ_{N}$) from 0.01 to 0.1.

physics.comp-ph