Project Grant 2311667

The National Science Foundation (NSF) awarded a $116,552 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of California, Riverside (UC Riverside) to develop open-source cyberinfrastructure for publishing and reusing minimally compressed measurement data from large physics experiments.

The project aims to build tools that enable measurements directly on uncompressed or minimally compressed data, addressing limitations in current statistical methods and data sharing platforms that can hinder scientific discovery and data reuse. The new cyberinfrastructure will enable publishing and reusing measurements generated through machine learning algorithms, integrating a novel data format based on neural networks rather than traditional tabular formats. This will be tested through a prototype science pipeline, resulting in practical software for researchers to perform unbinned measurements and reuse published data, integrated with widely-used physics research frameworks. The project also aims to broaden participation in fundamental physics and applied machine learning for undergraduate researchers by reducing computational resource requirements.