collaborators

9 papers

cs.LG2026

Adapting Vision-Language Models for Neutrino Event Classification in High-Energy Physics

Dikshant Sagar, Kaiwen Yu, Alejandro Yankelevich +2

Recent advances in Large Language Models (LLMs) have demonstrated their remarkable capacity to process and reason over structured and unstructured data modalities beyond natural la…

physics.ins-det2026

Charge readout electronics for the DUNE horizontal drift far detector: design and performance in ProtoDUNE-HD

DUNE Collaboration, S. Abbaslu, F. Abd Alrahman +1398

DUNE (Deep Underground Neutrino Experiment) is a long-baseline neutrino oscillation experiment currently under construction, whose far detectors will be the largest liquid argon ti…

cs.LG2025

Heterogeneous Point Set Transformers for Segmentation of Multiple View Particle Detectors

Edgar E. Robles, Dikshant Sagar, Alejandro Yankelevich +3

NOvA is a long-baseline neutrino oscillation experiment that detects neutrino particles from the NuMI beam at Fermilab. Before data from this experiment can be used in analyses, ra…

hep-ex2025

Letter of Intent: The Forward Physics Facility

Luis A. Anchordoqui, John K. Anders, Akitaka Ariga +111

The Forward Physics Facility (FPF) is a proposed extension of the HL-LHC program designed to exploit the unique scientific opportunities offered by the intense flux of high energy…

physics.ins-det2025

Lifetime study of the ColdADC for the Deep Underground Neutrino Experiment

Wenjie Wu, Benjamin Jargowsky, Yiwen Xiao +5

ColdADC is a custom ASIC digitizer implemented in 65 nm CMOS technology using specialized techniques for long-term reliability in cryogenic environments. ColdADC was developed for…

cs.LG2025

Fine-Tuning Vision-Language Models for Neutrino Event Analysis in High-Energy Physics Experiments

Dikshant Sagar, Kaiwen Yu, Alejandro Yankelevich +2

Recent progress in large language models (LLMs) has shown strong potential for multimodal reasoning beyond natural language. In this work, we explore the use of a fine-tuned Vision…