Neural networks integrated into silicon sensor front-end electronics can regress charged-particle hit positions and angles with calibrated uncertainties from single-layer data while satisfying hardware constraints on precision, latency, and area.
Bishop,Mixture density networks, Working Paper (As- ton University, 1994)
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
physics.ins-det 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
On-chip probabilistic inference for charged-particle tracking at the sensor edge
Neural networks integrated into silicon sensor front-end electronics can regress charged-particle hit positions and angles with calibrated uncertainties from single-layer data while satisfying hardware constraints on precision, latency, and area.