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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,657 papers · 148 categories

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2 results for “cosmic-ray”

TomOpt: Differential optimisation for task- and constraint-aware design of particle detectors in the context of muon tomographyphysics.ins-det

TomOpt optimizes muon detector designs using differentiable programming.

problem Designing efficient particle detectors for muon tomography.

method Differentiable programming for muon interaction modeling, inference, and optimisation.

result Demonstrated end-to-end differentiable and inference-aware optimisation of particle physics instruments.

muon tomography particle detectors differentiable programming optimisation cosmic-ray

2023-09-25abs ↗pdf ↗

Shared Data and Algorithms for Deep Learning in Fundamental Physicscs.LG

Unified access package for fundamental physics datasets simplifies machine learning.

problem Lack of unified access to datasets from multiple fundamental physics disciplines.

method Unified Python package with common interface and reference models.

result Graph-based neural networks perform similarly to dedicated methods on various datasets.

fundamental physics machine learning deep learning data sharing supervised learning

2021-07-01abs ↗pdf ↗