collaborators

6 papers

cs.NE2026

GPU-Accelerated Genetic Programming for Symbolic Regression with Beagle Framework

Nathan Haut, Ilya Basin, Marzieh Kianinejad +4

Beagle is a new software framework that enables execution of Genetic Programming tasks on the GPU. Currently available for symbolic regression, it processes individuals of the popu…

hep-ex2026

Precision measurement of neutrino oscillation parameters with 10 years of data from the NOvA experiment

NOvA Collaboration, S. Abubakar, M. A. Acero +207

This Letter reports measurements of muon-neutrino disappearance and electron-neutrino appearance and the corresponding antineutrino processes between the two NOvA detectors in the…

hep-ex2025

United States Muon Collider Community White Paper for the European Strategy for Particle Physics Update

A. Abdelhamid, D. Acosta, P. Affleck +301

This document is being submitted to the 2024-2026 European Strategy for Particle Physics Update (ESPPU) process on behalf of the US Muon Collider community, with its preparation co…

hep-ex2025

Measurement of d2sigma/d|q|dEavail in charged current neutrino-nucleus interactions at <Ev> = 1.86 GeV using the NOvA Near Detector

M. A. Acero, B. Acharya, P. Adamson +205

Double- and single-differential cross sections for inclusive charged-current neutrino-nucleus scattering are reported for the kinematic domain 0 to 2 GeV/c in three-momentum transf…

hep-ex2025

Dual-Baseline Search for Active-to-Sterile Neutrino Oscillations in NOvA

The NOvA Collaboration

We report a search for neutrino oscillations to sterile neutrinos under a model with three active and one sterile neutrinos (3+1 model). This analysis uses the NOvA detectors expos…

hep-ex2025

Monte Carlo method for constructing confidence intervals with unconstrained and constrained nuisance parameters in the NOvA experiment

M. A. Acero, B. Acharya, P. Adamson +218

Measuring observables to constrain models using maximum-likelihood estimation is fundamental to many physics experiments. Wilks' theorem provides a simple way to construct confiden…