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Anomaly Detection for Ultra Low Latency Event Selection at the LHC (ATLAS)

Paula Martinez Suarez · CERN

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About

The LHC is a particle accelerator which can provide up to 40 MHz of proton-proton collisions to its various experiments. In ATLAS, this data is filtered in real time down to 100 kHz in order to meet the readout constraints. This task is performed by the L1 Trigger, which uses FPGA-based hardware to select the most relevant events within a few microseconds. Traditionally, L1 trigger algorithms have been designed to target a set of interesting, predefined Physics signatures. In contrast, anomaly detection triggers aim to flag any events that deviate from expected behaviour, offering sensitivity to rare or unforeseen phenomena. This presentation summarises the latest developments from Run 3, which will also be a valuable input for the design of anomaly detection triggers in the High Luminosity LHC.

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The talk

  1. Anomaly Detection for Ultra Low Latency Event Selection at the LHC (ATLAS) 2026-03-04 · 26 min · CERN's player

Credits and licence

Institution
CERN
Speaker
Paula Martinez Suarez
Year
2026
Language
English
Source
CERN
Licence
CERN, as CERN states it. CERN's terms
Attribution
© CERN. CERN provides its audiovisual media free of charge for educational and informational use, credited to CERN; this lecture is shown in CERN's own player.
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