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Model-Independent Real-Time Anomaly Detection at the CMS Level-1 Calorimeter Trigger with CICADA /CMS Collaboration
In the search for new physics, real-time detection of anomalous events is critical for maximizing the discovery potential at the LHC. CICADA (Calorimeter Image Convolutional Anomaly Detection Algorithm) is a novel CMS trigger algorithm operating at the 40 MHz collision rate. [...]
CMS-DP-2024-121; CERN-CMS-DP-2024-121.- Geneva : CERN, 2024 - 21 p. Fulltext: PDF;

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(91)

Level-1 Trigger Calorimeter Image Convolutional Anomaly Detection Algorithm /CMS Collaboration
This performance note shows the implementation of the Calorimeter Image Convolutional Anomaly Detection Algorithm (CICADA), a Level-1 triggering algorithm designed to use fast, unsupervised machine learning techniques to trigger on anomalous events. Some of the score and rate performance of the algorithm as emulated on 2023 data are shown..
CMS-DP-2023-086; CERN-CMS-DP-2023-086.- Geneva : CERN, 2023 - 8 p. Fulltext: PDF;

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(71)

2024 Data Collected with AXOL1TL Anomaly Detection at the CMS Level-1 Trigger /CMS Collaboration
AXOL1TL (Anomaly eXtraction Online Level-1 Trigger aLgorithm) is an anomaly detection algorithm operating in the global trigger subsystem of the CMS Level-1 Trigger. The CMS experiment has been collecting data with this algorithm since May 2024. [...]
CMS-DP-2024-059; CERN-CMS-DP-2024-059.- Geneva : CERN, 2024 - 13 p. Fulltext: PDF;

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(68)

Search for exotic Higgs boson decays with CMS and fast machine learning solutions for the LHC / Tsoi, Ho Fung
There exists potential for discoveries beyond the Standard Model in scalar sector, which could manifest as Higgs boson exotic decays into new light pseudoscalars [...]
CERN-THESIS-2024-283 - 2024 - 203.

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(58)

Anomaly Detection in the CMS Global Trigger Test Crate for Run 3 /CMS Collaboration
This DPS note shows the design, implementation, and performance of an ML-based trigger algorithm, AXOL1TL, which selects anomalous events in real-time. The AXOL1TL algorithm was implemented in Level-1 Global Trigger Test Crate for 2023 data taking..
CMS-DP-2023-079; CERN-CMS-DP-2023-079.- Geneva : CERN, 2023 - 14 p. Fulltext: PDF;

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(57)

A level-1 pixel based track trigger for the CMS HL-LHC upgrade /CMS Collaboration
We present feasibility studies to investigate the performances and interest of a Level-1 trigger based on pixels. The Level-1 (real-time) pixel based tracking trigger is a novel trigger system that is based on the real-time track reconstruction algorithms able to cope with very high rates and high flux of data in a very harsh environment. [...]
CMS-DP-2016-055; CERN-CMS-DP-2016-055.- Geneva : CERN, 2016 - 8 p. Fulltext: PDF;

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(56)

A level-1 pixel based track trigger for the CMS HL-LHC upgrade / Moon, Chang-Seong (SAO_PAULO) /CMS Collaboration
We present feasibility studies to investigate the performance and interest of a Level-1 trigger based on pixels. The Level-1 (real-time) pixel based tracking trigger is a novel trigger system that is based on real-time track reconstruction algorithms able to cope with very high rates and high flux of data in a very harsh environment. [...]
CMS-CR-2016-295.- Geneva : CERN, 2016 - 7 p. - Published in : PoS ICHEP2016 (2016) 243 Conference Report: PDF; Fulltext: PDF;
In : 38th International Conference on High Energy Physics, Chicago, IL, USA, 03 - 10 Aug 2016, pp.243

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(50)

Improving AXOL1TL Trigger Anomaly Detection in CMS Level-1 Trigger / Paucar Mendoza, Sebastian Andre (CERN)
In the search for the optimal triggers to avoid overlooking potential new physics information in proton collision events at the LHC, which are constrained by a low-level DAQ latency of 50 nanoseconds at CMS experiment, unsupervised machine learning (ML) has gained prominence as an efficient tool for encoding the Standard Model background and identifying anomalies using out-of-distribution metrics. [...]
CERN-STUDENTS-Note-2024-226. - 2024
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The ATLAS Level-1 Topological Trigger performance in Run 2 / Riu, Imma (Institut de Fisica d'Altes Energies (IFAE), The Barcelona Institute of Science and Technology, Barcelona, Spain)
The Level-1 trigger is the first event rate reducing step in the ATLAS detector trigger system, with an output rate of up to 100 kHz and decision latency smaller than 2.5 μs. [...]
ATL-DAQ-PROC-2017-002. - 2017. - 6 p.
Original Communication (restricted to ATLAS) - Full text - IOP Open Access Article

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Initital Upgrade of the ATLAS Level-1 Calorimeter Trigger / Ta, DB (Michigan State University)
The Level-1 calorimeter trigger (L1Calo) of the ATLAS experiment has been operating well since the start of LHC data taking and played a major role in the Higgs boson discovery. To face the new challenges posed by the upcoming increases of the LHC proton beam energy and luminosity, a series of upgrades is planned for L1Calo. [...]
ATL-DAQ-SLIDE-2014-241.- Geneva : CERN, 2014 - 1 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : Technology and Instrumentation in Particle Physics 2014, Amsterdam, Netherlands, 2 - 6 Jun 2014

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