4 papers
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…
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…
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…
Particle Hit Clustering and Identification Using Point Set Transformers in Liquid Argon Time Projection Chambers
Edgar E. Robles, Alejando Yankelevich, Wenjie Wu +2
Liquid argon time projection chambers are often used in neutrino physics and dark-matter searches because of their high spatial resolution. The images generated by these detectors…