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Trigger Level Analysis data preparation through co-processors

Emilly Rodrigues · CERN

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About

**Project Description**: The project studies a compact machine-learning model for reconstructing jets directly from six-layer ATLAS calorimeter images. The target environment is the FPGA-based Global Event Processor of the Phase-II Global Trigger, where the reconstruction must preserve the physically relevant jet information while using a small model. The work therefore evaluates reconstruction quality together with model size and hardware-oriented constraints.

**Supervisors**: Ioannis Xiotidis and Noah Clarke Hall

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The talk

  1. Trigger Level Analysis data preparation through co-processors 2026-08-18 · 7 min · CERN's player

Credits and licence

Institution
CERN
Speaker
Emilly Rodrigues
Year
2026
Language
English
Subjects
Mathematics
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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