255 citations · 497 across the 19 of their papers we have counts for
4 papers · 1 filter
Sparse Methods for Vector Embeddings of TPC Data
Tyler Wheeler, Michelle P. Kuchera, Raghuram Ramanujan +7
Time Projection Chambers (TPCs) are versatile detectors that reconstruct charged-particle tracks in an ionizing medium, enabling sensitive measurements across a wide range of nucle…
The Future of Artificial Intelligence and the Mathematical and Physical Sciences (AI+MPS)
Andrew Ferguson, Marisa LaFleur, Lars Ruthotto +97
This community paper developed out of the NSF Workshop on the Future of Artificial Intelligence (AI) and the Mathematical and Physics Sciences (MPS), which was held in March 2025 w…
Classifying metal-poor stars with machine learning using nucleosynthesis calculations
Nicole Vassh, Yilin Wang, Richard M. Woloshyn +4
We apply the capabilities of machine learning (ML) to discern patterns in order to classify metal-poor stars. To do so, we train an ML model on a bank of nucleosynthesis calculatio…
Unpaired Translation of Point Clouds for Modeling Detector Response
Mingyang Li, Michelle Kuchera, Raghuram Ramanujan +3
Modeling detector response is a key challenge in time projection chambers. We cast this problem as an unpaired point cloud translation task, between data collected from simulations…