activity
20242026
collaborators

12 papers

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…

nucl-ex2026

Measurements of Angular Distributions of Drell-Yan Dimuons in and Interactions at 120 GeV/

K. Nagai, M. F. Hossain, A. Pun +54

We present experimental results on the angular distributions of Drell-Yan muons produced by a 120 GeV/ proton beam interacting with liquid hydrogen and deuterium targets. The di…

hep-ex2026

Final SeaQuest results on the flavor asymmetry of the proton light-quark sea with proton-induced Drell-Yan process

SeaQuest Collaboration, C. H. Leung, J. Dove +55

The Fermilab E906/SeaQuest collaboration performed measurements of the Drell-Yan process using 120 GeV proton beams bombarding liquid hydrogen and liquid deuterium targets. A combi…

hep-ex2025

Search for Accelerator-Produced Sub-GeV Dark Matter with the NOvA Near Detector

S. Abubakar, M. Acero, B. Acharya +184

The NuMI facility at Fermilab produces a high-intensity beam of muon neutrinos and antineutrinos, designed to study neutrino oscillations. This beam may also be a source of dark ma…

hep-ex2025

Joint neutrino oscillation analysis from the T2K and NOvA experiments

NOvA, T2K Collaborations, : +597

The landmark discovery that neutrinos have mass and can change type (or "flavor") as they propagate -- a process called neutrino oscillation -- has opened up a rich array of theore…

nucl-ex2025

Measurements at forward rapidity of elliptic flow of charged hadrons and open-heavy-flavor muons in AuAu collisions at GeV

PHENIX Collaboration, N. J. Abdulameer, U. Acharya +365

We present the first forward-rapidity measurements of elliptic anisotropy of open-heavy-flavor muons at the BNL Relativistic Heavy Ion Collider. The measurements are based on data…