5 papers
A Bayesian approach to the long-baseline neutrino oscillation sensitivity of DUNE
DUNE Collaboration, S. Abbaslu, F. Abd Alrahman +1278
The sensitivity of the Deep Underground Neutrino Experiment (DUNE) to neutrino oscillation is evaluated using a Bayesian Markov Chain Monte Carlo (MCMC) approach. This analysis use…
The DAMSA Experiment
Prithak Bhattarai, Andrew Brandt, Alan Bross +41
DAMSA (DArk Messenger Searches at an Accelerator) is a novel short-baseline accelerator/beam dump experiment aimed at probing short-lived physics processes, including searches for…
Building an AI-native Research Ecosystem for Experimental Particle Physics: A Community Vision
Thea Klaeboe Aarrestad, Alaa Abdelhamid, Haider Abidi +457
Experimental particle physics seeks to understand the universe by probing its fundamental particles and forces and exploring how they govern the large-scale processes that shape co…
DAMSA Experiment Conceptual Design White Paper
Prithak Bhattarai, Andrew Brandt, Alan Bross +41
DAMSA (DArk Messenger Searches at an Accelerator) is a novel short-baseline accelerator experiment aimed at probing short-lived physics processes, including searches for evidence o…
Enhancing the Sensitivity to Seesaw Predictions in Gauged Scenarios
Francesco Capozzi, Bhaskar Dutta, Gajendra Gurung +4
New gauge bosons coupled to heavy neutral leptons (HNLs) are simple and well-motivated extensions of the Standard Model. In searches for HNLs in proton fixed-target experiments, we…