2 papers
hep-ex2025
It's not a FAD: first results in using Flows for unsupervised Anomaly Detection at 40 MHz at the Large Hadron Collider
Francesco Vaselli, Chang Sun, Thea Aarrestad +7
We present the first implementation of a Continuous Normalizing Flow (CNF) model for unsupervised anomaly detection within the realistic, high-rate environment of the Large Hadron…
physics.ins-det2025
FPGA Implementation of a CNN-based Topological Trigger for HL-LHC
James Brooke, Emyr Clement, Maciej Glowacki +2
The implementation of convolutional neural networks in programmable logic, for applications in fast online event selection at hadron colliders, is studied. In particular, an approa…