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Machine Learning for Trigger and Data Acquisition / James, Thomas Owen (speaker) (CERN)
Abstract The LHC produces billions of collisions per second during operation, equivalent to Pb/s of raw data for the largest experiments CMS and ATLAS. It would be impossible to readout, process or store all of this data [...]
2025 - 4105. CERN openlab summer student lecture programme External link: Event details In : Machine Learning for Trigger and Data Acquisition

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Real-time Data Processing for Level 1 Trigger Scouting at CMS using a CXL Memory-lake Architecture / James, Thomas Owen (speaker) (CERN)
2025 - 1348. Workshops and Training; 2025 CERN openlab Technical Workshop External links: Talk details; Event details In : 2025 CERN openlab Technical Workshop

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Machine Learning for Trigger and Data Acquisition / James, Thomas Owen (speaker) (CERN)
Abstract The LHC produces billions of collisions per second during operation, equivalent to Pb/s of raw data for the largest experiments CMS and ATLAS. It would be impossible to readout, process or store all of this data [...]
2024 - 4224. CERN openlab summer student lecture programme External link: Event details In : Machine Learning for Trigger and Data Acquisition

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AI in low-latency environments / James, Thomas Owen (speaker) (CERN)
2024 - 1248. Workshops and Training; 2024 CERN openlab Technical Workshop External links: Talk details; Event details In : 2024 CERN openlab Technical Workshop

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Towards a container-based architecture for CMS data acquisition / Amoiridis, Vasileios (CERN) ; Behrens, Ulf (Rice U.) ; Bocci, Andrea (CERN) ; Branson, James (UC, San Diego) ; Brummer, Philipp Maximilian (CERN) ; Cano, Eric (CERN) ; Cittolin, Sergio (UC, San Diego) ; Quintanilha, Joao (CERN) ; Darlea, Georgiana Lavinia (MIT) ; Deldicque, Christian (CERN) et al.
The CMS data acquisition (DAQ) is implemented as a service-oriented architecture where DAQ applications, as well as general applications such as monitoring and error reporting, are run as self-contained services. The task of deployment and operation of services is achieved by using several heterogeneous facilities, custom configuration data and scripts in several languages. [...]
CMS-CR-2023-145.- Geneva : CERN, 2024 - 9 p. - Published in : EPJ Web Conf. 295 (2024) 02031 Fulltext: PDF;
In : 26th International Conference on Computing in High Energy & Nuclear Physics, Norfolk, Virginia, Us, 8 - 12 May 2023

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The CMS Orbit Builder for the HL-LHC at CERN / Amoiridis, Vasileios (CERN) ; Behrens, Ulf (Rice U.) ; Bocci, Andrea (CERN) ; Branson, James (UC, San Diego) ; Brummer, Philipp Maximilian (CERN) ; Cano, Eric (CERN) ; Cittolin, Sergio (UC, San Diego) ; Quintanilha, Joao (CERN) ; Darlea, Georgiana Lavinia (MIT) ; Deldicque, Christian (CERN) et al.
The Compact Muon Solenoid (CMS) experiment at CERN incorporates one of the highest throughput data acquisition systems in the world and is expected to increase its throughput by more than a factor of ten for High-Luminosity phase of Large Hadron Collider (HL-LHC).To achieve this goal, the system will be upgraded in most of its components. Among them, the event builder software, in charge of assembling all thedata read out from the different sub-detectors, is planned to be modified from a single event builder to an orbit builder that assembles multipleevents at the same time. [...]
CMS-CR-2023-143.- Geneva : CERN, 2024 - 9 p. - Published in : EPJ Web Conf. 295 (2024) 02011 Fulltext: PDF;
In : 26th International Conference on Computing in High Energy & Nuclear Physics, Norfolk, Virginia, Us, 8 - 12 May 2023

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MiniDAQ-3: providing concurrent independent subdetector data-taking on CMS production DAQ resources / Amoiridis, Vasileios (CERN) ; Behrens, Ulf (Rice U.) ; Bocci, Andrea (CERN) ; Branson, James (UC, San Diego) ; Brummer, Philipp Maximilian (CERN) ; Cano, Eric (CERN) ; Cittolin, Sergio (UC, San Diego) ; Quintanilha, Joao (CERN) ; Darlea, Georgiana Lavinia (MIT) ; Deldicque, Christian (CERN) et al.
The data acquisition (DAQ) of the Compact Muon Solenoid (CMS) experiment at CERN, collects data for events accepted by the Level-1 Trigger from the different detector systems and assembles them in an event builder prior to making them available for further selection in the High Level Trigger, and finally storing the selected events for offline analysis. In addition to the central DAQ providing global acquisition functionality, several separate, so-called "MiniDAQ" setups allow operating independent data acquisition runs using an arbitrary subset of the CMS subdetectors. [...]
CMS-CR-2023-141.- Geneva : CERN, 2024 - 9 p. - Published in : EPJ Web Conf. 295 (2024) 02020 Fulltext: PDF;
In : 26th International Conference on Computing in High Energy & Nuclear Physics, Norfolk, Virginia, Us, 8 - 12 May 2023

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First year of experience with the new operational monitoring tool for data taking in CMS during Run~3 / Amoiridis, Vasileios (CERN) ; Behrens, Ulf (Rice U.) ; Bocci, Andrea (CERN) ; Branson, James (UC, San Diego) ; Brummer, Philipp Maximilian (CERN) ; Cano, Eric (CERN) ; Cittolin, Sergio (UC, San Diego) ; Quintanilha, Joao (CERN) ; Darlea, Georgiana Lavinia (MIT) ; Deldicque, Christian (CERN) et al.
The Online Monitoring System (OMS) at the Compact Muon Solenoid experiment at CERN aggregates and integrates different sources of information into a central place and allows users to view, compare and correlate information. It displays real-time and historical information. The tool is heavily used by run coordinators, trigger experts and shift crews, to ensure the quality and efficiency of data taking. [...]
CMS-CR-2023-139.- Geneva : CERN, 2024 - 9 p. - Published in : EPJ Web Conf. 295 (2024) 02013 Fulltext: PDF;
In : 26th International Conference on Computing in High Energy & Nuclear Physics, Norfolk, Virginia, Us, 8 - 12 May 2023

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Real-time deep learning inference and FPGA based processing for level 1 trigger scouting at CMS / James, Thomas Owen (speaker) (CERN)
2023 - 1204. Workshops and Training; 2023 CERN openlab Technical Workshop External links: Talk details; Event details In : 2023 CERN openlab Technical Workshop

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10.

The Level 1 Scouting system of the CMS experiment / James, Thomas Owen (CERN) /CMS Collaboration
A novel data collection system, known as Level-1 (L1) Scouting, is being introduced as part of the L1 trigger of the CMS experiment at the CERN Large Hadron Collider. The L1 trigger of CMS, implemented in FPGA-based hardware, selects events at 100 kHz for full read-out, within a short 3~microsecond latency window. [...]
CMS-CR-2023-024.- Geneva : CERN, 2023 - 8 p. Fulltext: PDF;
In : 21st International Workshop on Advanced Computing and Analysis Techniques in Physics Research, Bari, It, 24 - 28 Oct 2022

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