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font-style: italic; font-size: 80%">by Sawatzky, Brad</td></tr><tr><td><a href="https://cds.cern.ch/record/2882879?ln=en">A Ceph S3 Object Data Store for HEP </a>(p. 1003)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Smith, Nick</td></tr><tr><td><a href="https://cds.cern.ch/record/2872273?ln=en">A study case of Content Delivery Network solutions for the CMS experiment </a>(p. 1006)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Flix Molina, Jose</td></tr><tr><td><a href="https://cds.cern.ch/record/2872279?ln=en">Automated Network Services for Exascale Data Movement </a>(p. 1009)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Balcas, Justas</td></tr><tr><td><a href="https://cds.cern.ch/record/2870121?ln=en">Towards a new conditions data infrastructure in ATLAS </a>(p. 1013)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Formica, Andrea</td></tr><tr><td><a href="https://cds.cern.ch/record/2868009?ln=en">Deploying the ATLAS Metadata Interface (AMI) stack in a Docker Compose or Kubernetes environment. </a>(p. 1017)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Lambert, Fabian</td></tr><tr><td><a href="https://cds.cern.ch/record/2870346?ln=en">Deployment and Operation of the ATLAS EventIndex for LHC Run 3 </a>(p. 1018)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Gallas, Elizabeth</td></tr><tr><td><a href="https://cds.cern.ch/record/2870342?ln=en">Examining the Impact of Data Layout on Tape on Data Recall Performance for ATLAS </a>(p. 1028)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Misawa, Shigeki</td></tr><tr><td><a href="https://cds.cern.ch/record/2869070?ln=en">Exploring Future Storage Options for ATLAS at the BNL/SDCC facility </a>(p. 1029)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Huang, Qiulan</td></tr><tr><td><a href="https://cds.cern.ch/record/2869028?ln=en">Extending Rucio with modern cloud storage support </a>(p. 1030)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Barisits, Martin</td></tr><tr><td><a href="https://cds.cern.ch/record/2870347?ln=en">HBase/Phoenix-based Data Collection and Storage for the ATLAS EventIndex </a>(p. 1034)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Garcia Montoro, Carlos</td></tr><tr><td><a href="https://cds.cern.ch/record/2872296?ln=en">HPC resources for CMS offline computing: an integration and scalability challenge for the Submission Infrastructure </a>(p. 1035)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Pérez-Calero Yzquierdo, Antonio</td></tr><tr><td><a href="https://cds.cern.ch/record/2868540?ln=en">Query Service for the new ATLAS EventIndex system </a>(p. 1045)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Rybkin, Grigori</td></tr><tr><td><a href="https://cds.cern.ch/record/2868449?ln=en">Testing framework and monitoring system for the ATLAS EventIndex </a>(p. 1047)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Cherepanova, Elizaveta</td></tr><tr><td><a href="https://cds.cern.ch/record/2865508?ln=en">TileCalibWeb Robot tool for ATLAS Calorimeter conditions and calibrations data handling in Run 3 </a>(p. 1052)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Smirnov, Yuri</td></tr><tr><td><a href="https://cds.cern.ch/record/2867559?ln=en">Updates to the ATLAS Data Carousel Project </a>(p. 1054)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Borodin, Misha</td></tr><tr><td><a href="https://cds.cern.ch/record/2867330?ln=en">Using MQTT and Node-RED to monitor the ATLAS Metadata Interface (AMI) stack and define metadata aggregation tasks in a pipelined way. </a>(p. 1055)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Odier, Jerome</td></tr><tr><td><a href="https://cds.cern.ch/record/2872107?ln=en">Benchmarking Data Acquisition event building network performance for the ATLAS HL-LHC upgrade </a>(p. 2005)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Pozo Astigarraga, Eukeni</td></tr><tr><td><a href="https://cds.cern.ch/record/2875724?ln=en">Cluster reconstruction in the HGCAL at the Level~1 trigger </a>(p. 2006)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Fontana Santos Alves, Bruno Afonso</td></tr><tr><td><a href="https://cds.cern.ch/record/2872286?ln=en">The CMS Orbit Builder for the HL-LHC at CERN </a>(p. 2011)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Amoiridis, Vasileios</td></tr><tr><td><a href="https://cds.cern.ch/record/2871991?ln=en">FELIX: first operational experience with the new ATLAS readout system and perspectives for HL-LHC </a>(p. 2012)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Hoya, Joaquin</td></tr><tr><td><a href="https://cds.cern.ch/record/2872282?ln=en">First year of experience with the new operational monitoring tool for data taking in CMS during Run~3 </a>(p. 2013)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Amoiridis, Vasileios</td></tr><tr><td><a href="https://cds.cern.ch/record/2872292?ln=en">Line Segment Tracking in the High-luminosity LHC </a>(p. 2019)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Chang, Philip</td></tr><tr><td><a href="https://cds.cern.ch/record/2872284?ln=en">MiniDAQ-3: providing concurrent independent subdetector data-taking on CMS production DAQ resources </a>(p. 2020)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Amoiridis, Vasileios</td></tr><tr><td><a href="https://cds.cern.ch/record/2869707?ln=en">Operational experience with the new ATLAS HLT framework for LHC Run 3 </a>(p. 2021)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Poreba, Aleksandra</td></tr><tr><td><a href="https://cds.cern.ch/record/2872290?ln=en">Overview of the HL-LHC Upgrade for the CMS Level-1 Trigger </a>(p. 2022)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Savard, Claire</td></tr><tr><td><a href="https://cds.cern.ch/record/2872269?ln=en">Reconstructing jets in the Phase-2 upgrade of the CMS Level-1 Trigger with a seeded cone algorithm </a>(p. 2024)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Summers, Sioni</td></tr><tr><td><a href="https://cds.cern.ch/record/2869307?ln=en">The CMS Inner Tracker DAQ system for the High Luminosity upgrade of LHC from single-chip testing, to large-scale assembly qualification </a>(p. 2028)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Dinardo, Mauro</td></tr><tr><td><a href="https://cds.cern.ch/record/2868263?ln=en">The ATLAS jet trigger for Run 3 of the LHC </a>(p. 2030)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Amerl, Maximilian</td></tr><tr><td><a href="https://cds.cern.ch/record/2872288?ln=en">Towards a container-based architecture for CMS data acquisition </a>(p. 2031)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Amoiridis, Vasileios</td></tr><tr><td><a href="https://cds.cern.ch/record/2870183?ln=en">Track reconstruction for the ATLAS Phase-II Event Filter using GNNs on FPGAs </a>(p. 2032)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Dittmeier, Sebastian</td></tr><tr><td><a href="https://cds.cern.ch/record/2872285?ln=en">A DNN for CMS track classification and selection </a>(p. 3001)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Giannini, Leonardo</td></tr><tr><td><a href="https://cds.cern.ch/record/2872275?ln=en">CMS Tier-0 data processing during the detector commissioning in Run-3 </a>(p. 3007)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Amado Valderrama, Jhonatan Andres</td></tr><tr><td><a href="https://cds.cern.ch/record/2872253?ln=en">CMSSW Scaling Limits on Many-Core Machines </a>(p. 3008)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Jones, Christopher Duncan</td></tr><tr><td><a href="https://cds.cern.ch/record/2866625?ln=en">Framework for custom event sample augmentations for ATLAS analysis data </a>(p. 3016)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Van Gemmeren, Peter</td></tr><tr><td><a href="https://cds.cern.ch/record/2872289?ln=en">Full Simulation of CMS for Run-3 and Phase-2 </a>(p. 3017)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Srimanobhas, Norraphat</td></tr><tr><td><a href="https://cds.cern.ch/record/2872281?ln=en">Generalizing mkFit and its Application to HL-LHC </a>(p. 3019)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Cerati, Giuseppe</td></tr><tr><td><a href="https://cds.cern.ch/record/2871750?ln=en">Multithreading ATLAS offline software: a retrospective </a>(p. 3024)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Krasznahorkay, Attila</td></tr><tr><td><a href="https://cds.cern.ch/record/2872507?ln=en">Optimizing Geant4 Hadronic Models </a>(p. 3026)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Genser, Krzysztof</td></tr><tr><td><a href="https://cds.cern.ch/record/2871990?ln=en">Optimizing ATLAS data storage: the impact of compression algorithms on ATLAS physics analysis data formats </a>(p. 3027)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Marcon, Caterina</td></tr><tr><td><a href="https://cds.cern.ch/record/2871986?ln=en">Physics Performance of the ATLAS GNN4ITk Track Reconstruction Chain </a>(p. 3030)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Caillou, Sylvain</td></tr><tr><td><a href="https://cds.cern.ch/record/2886848?ln=en">Potentiality of automatic parameter tuning suite available in ACTS track reconstruction software framework </a>(p. 3031)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Garg, Rocky Bala</td></tr><tr><td><a href="https://cds.cern.ch/record/2898598?ln=en">Repurposing of the Run 2 CMS High Level Trigger Infrastructure as a Cloud Resource for Offline Computing </a>(p. 3036)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Mascheroni, Marco</td></tr><tr><td><a href="https://cds.cern.ch/record/2875421?ln=en">The LHCb ultra-fast simulation option, Lamarr design and validation </a>(p. 3040)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Anderlini, Lucio</td></tr><tr><td><a href="https://cds.cern.ch/record/2869031?ln=en">Accounting and monitoring tools enhancement for Run 3 in the ATLAS distributed computing </a>(p. 4002)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Alekseev, Aleksandr</td></tr><tr><td><a href="https://cds.cern.ch/record/2872298?ln=en">Adoption of a token-based authentication model for the CMS Submission Infrastructure. </a>(p. 4003)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Pérez-Calero Yzquierdo, Antonio</td></tr><tr><td><a href="https://cds.cern.ch/record/2869862?ln=en">ATLAS Data Analysis using a Parallel Workflow on Distributed Cloud-based Services with GPUs </a>(p. 4007)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Sandesara, Jay Ajitbhai</td></tr><tr><td><a href="https://cds.cern.ch/record/2871749?ln=en">BigPanDA monitoring system evolution in the ATLAS experiment </a>(p. 4010)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Korchuganova, Tatiana</td></tr><tr><td><a href="https://cds.cern.ch/record/2871988?ln=en">Bringing the ATLAS HammerCloud setup to the next level with containerization </a>(p. 4011)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Rottler, Benjamin</td></tr><tr><td><a href="https://cds.cern.ch/record/2868277?ln=en">Computing Activities at the Spanish Tier-1 and Tier-2s for the ATLAS experiment in the LHC Run3 period and towards High Luminosity (HL-LHC) </a>(p. 4014)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Gonzalez De La Hoz, Santiago</td></tr><tr><td><a href="https://cds.cern.ch/record/2872280?ln=en">Job CPU Performance comparison based on MINIAOD reading options local versus remote </a>(p. 4028)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Balcas, Justas</td></tr><tr><td><a href="https://cds.cern.ch/record/2872150?ln=en">Operational Analytics Studies for ATLAS Distributed Computing: Data Popularity Forecast and Utilization of the WLCG Centers </a>(p. 4033)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Grigoryeva, Maria</td></tr><tr><td><a href="https://cds.cern.ch/record/2869065?ln=en">ATLAS Distributed Computing Evolution: Developments and Demonstrators Towards HL-LHC </a>(p. 4034)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by South, David</td></tr><tr><td><a href="https://cds.cern.ch/record/2891594?ln=en">Scalable ATLAS pMSSM computational workflows using containerised REANA reusable analysis platform </a>(p. 4035)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Donadoni, Marco</td></tr><tr><td><a href="https://cds.cern.ch/record/2867118?ln=en">The ATLAS Workflow Management System Evolution in the LHC Run3 and towards the High-Luminosity LHC era </a>(p. 4043)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Pacheco Pages, Andreu</td></tr><tr><td><a href="https://cds.cern.ch/record/2869308?ln=en">The CMS monitoring applications for LHC Run 3 </a>(p. 4045)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Legger, Federica</td></tr><tr><td><a href="https://cds.cern.ch/record/2872297?ln=en">The integration of heterogeneous resources in the CMS Submission Infrastructure for the LHC Run 3 and beyond </a>(p. 4046)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Pérez-Calero Yzquierdo, Antonio</td></tr><tr><td><a href="https://cds.cern.ch/record/2870185?ln=en">The Platform-as-a-Service paradigm meets ATLAS: developing an automated analysis workflow on the newly established INFN CLOUD </a>(p. 4048)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Marcon, Caterina</td></tr><tr><td><a href="https://cds.cern.ch/record/2872276?ln=en">The U.S. CMS HL-LHC R and D Strategic Plan </a>(p. 4050)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Gutsche, Oliver</td></tr><tr><td><a href="https://cds.cern.ch/record/2869561?ln=en">Utilizing Distributed Heterogeneous Computing with PanDA in ATLAS </a>(p. 4053)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Maeno, Tadashi</td></tr><tr><td><a href="https://cds.cern.ch/record/2867060?ln=en">Enhancing data consistency in ATLAS and CERN HR databases through automated synchronization </a>(p. 5004)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Aleksandravicius, Gabriel</td></tr><tr><td><a href="https://cds.cern.ch/record/2868954?ln=en">Iterative and incremental development of the ATLAS Publication Tracking System </a>(p. 5009)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Loureiro Cruz, Ana Clara</td></tr><tr><td><a href="https://cds.cern.ch/record/2884072?ln=en">Key4hep: Progress Report on Integrations </a>(p. 5010)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Brondolin, Erica</td></tr><tr><td><a href="https://cds.cern.ch/record/2882303?ln=en">Polyglot Jet Finding </a>(p. 5017)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Stewart, Graeme Andrew</td></tr><tr><td><a href="https://cds.cern.ch/record/2867928?ln=en">The ATLAS experiment software on ARM </a>(p. 5019)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Elmsheuser, Johannes</td></tr><tr><td><a href="https://cds.cern.ch/record/2888425?ln=en">The O2 software framework and GPU usage in ALICE online and offline reconstruction in Run 3 </a>(p. 5022)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Eulisse, Giulio</td></tr><tr><td><a href="https://cds.cern.ch/record/2898860?ln=en">Towards podio v1.0 - A first stable release of the EDM toolkit </a>(p. 6018)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Carceller, Juan Miguel</td></tr><tr><td><a href="https://cds.cern.ch/record/2868544?ln=en">A grid site reimagined: building a fully cloud-native ATLAS Tier 2 on Kubernetes </a>(p. 7001)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Taylor, Ryan</td></tr><tr><td><a href="https://cds.cern.ch/record/2869234?ln=en">Accelerating science: the usage of commercial clouds in ATLAS Distributed Computing </a>(p. 7002)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Barreiro Megino, Fernando Harald</td></tr><tr><td><a href="https://cds.cern.ch/record/2879939?ln=en">HEPScore: A new CPU benchmark for the WLCG </a>(p. 7024)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Giordano, Domenico</td></tr><tr><td><a href="https://cds.cern.ch/record/2872151?ln=en">The Creation and Evolution of the US ATLAS Shared Analysis Facilities </a>(p. 7043)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Rind, Ofer</td></tr><tr><td><a href="https://cds.cern.ch/record/2900417?ln=en">ScienceBox 2.0: Evolving the demonstrator package for CERN storage and analysis services </a>(p. 8015)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Bocchi, Enrico</td></tr><tr><td><a href="https://cds.cern.ch/record/2884805?ln=en">Software Citation in HEP: Current State and Recommendations for the Future </a>(p. 8017)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Feickert, Matthew</td></tr><tr><td><a href="https://cds.cern.ch/record/2866761?ln=en">The Virtual Research Environment: A multi-science analysis platform </a>(p. 8023)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Gazzarrini, Elena</td></tr><tr><td><a href="https://cds.cern.ch/record/2872295?ln=en">A method for inferring signal strength modifiers by conditional invertible neural networks </a>(p. 9001)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Farkas, Mate Zoltan</td></tr><tr><td><a href="https://cds.cern.ch/record/2904893?ln=en">Applications of Lipschitz neural networks to the Run 3 LHCb trigger system </a>(p. 9005)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Delaney, Blaise</td></tr><tr><td><a href="https://cds.cern.ch/record/2871281?ln=en">Efficient Search for New Physics Using Active Learning in the ATLAS Experiment </a>(p. 9013)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Bhatti, Zubair</td></tr><tr><td><a href="https://cds.cern.ch/record/2872294?ln=en">End-to-end deep learning inference with CMSSW via ONNX using Docker </a>(p. 9015)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Chaudhari, Purva</td></tr><tr><td><a href="https://cds.cern.ch/record/2869306?ln=en">FlashSim: accelerating HEP simulation with an end-to-end Machine Learning framework </a>(p. 9020)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Vaselli, Francesco</td></tr><tr><td><a href="https://cds.cern.ch/record/2868542?ln=en">Machine Learning for Real-Time Processing of ATLAS Liquid Argon Calorimeter Signals with FPGAs </a>(p. 9025)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Voigt, Johann Christoph</td></tr><tr><td><a href="https://cds.cern.ch/record/2871452?ln=en">Particle identification with machine learning in ALICE Run 3 </a>(p. 9029)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Karwowska, Maja</td></tr><tr><td><a href="https://cds.cern.ch/record/2872274?ln=en">Refining fast simulation using machine learning </a>(p. 9032)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Bein, Samuel</td></tr><tr><td><a href="https://cds.cern.ch/record/2858515?ln=en">Symbolic Regression on FPGAs for Fast Machine Learning Inference </a>(p. 9036)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Tsoi, Ho Fung</td></tr><tr><td><a href="https://cds.cern.ch/record/2872272?ln=en">The Deployment of Realtime ML in Changing Environments </a>(p. 9037)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Brown, Christopher Edward</td></tr><tr><td><a href="https://cds.cern.ch/record/2898772?ln=en">Acceleration beyond lowest order event generation. An outlook on further parallelism within MadGraph5_aMC@NLO </a>(p. 10001)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Wettersten, Zenny</td></tr><tr><td><a href="https://cds.cern.ch/record/2872398?ln=en">Evaluating Performance Portability with the CMS Heterogeneous Pixel Reconstruction code </a>(p. 11008)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Andriotis, Nikolaos</td></tr><tr><td><a href="https://cds.cern.ch/record/2895773?ln=en">Madgraph5_aMC@NLO on GPUs and vector CPUs Experience with the first alpha release </a>(p. 11013)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Hageboeck, Stephan</td></tr><tr><td><a href="https://cds.cern.ch/record/2872277?ln=en">Performance of Heterogeneous Algorithm Scheduling in CMSSW </a>(p. 11017)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Bocci, Andrea</td></tr><tr><td><a href="https://cds.cern.ch/record/2872271?ln=en">Run-3 Commissioning of CMS Online HLT reconstruction using GPUs </a>(p. 11020)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Parida, Ganesh</td></tr><tr><td><a href="https://cds.cern.ch/record/2872287?ln=en">Running GPU-enabled CMSSW workflows through the production system </a>(p. 11021)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Koraka, Charis Kleio</td></tr><tr><td><a href="https://cds.cern.ch/record/2872256?ln=en">Vectorization of CMSSW offline software </a>(p. 11024)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Gartung, Patrick Elmo</td></tr><tr><td><a href="https://cds.cern.ch/record/2869559?ln=en">Application of quantum computing techniques in particle tracking at LHC </a>(p. 12001)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Chan, Wai Yuen</td></tr><tr><td><a href="https://cds.cern.ch/record/2883808?ln=en">Benchmarking machine learning models for quantum state classification </a>(p. 12007)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Pedicillo, Edoardo</td></tr><tr><td><a href="https://cds.cern.ch/record/2873581?ln=en">The Run-3 ATLAS jet trigger </a>(ATL-DAQ-SLIDE-2023-530)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Amerl, Maximilian</td></tr><tr><td><a href="https://cds.cern.ch/record/2873582?ln=en">Track reconstruction for the ATLAS Phase-II Event Filter using GNNs on FPGAs </a>(ATL-DAQ-SLIDE-2023-531)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Dittmeier, Sebastian</td></tr><tr><td><a href="https://cds.cern.ch/record/2873583?ln=en">Fast inference on FPGA for the ATLAS Muon Trigger </a>(ATL-DAQ-SLIDE-2023-532)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Carnesale, Maria</td></tr><tr><td><a href="https://cds.cern.ch/record/2873584?ln=en">Benchmarking Data Acquisition event building network performance for the ATLAS HL-LHC upgrade </a>(ATL-DAQ-SLIDE-2023-533)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Pozo Astigarraga, Eukeni</td></tr><tr><td><a href="https://cds.cern.ch/record/2873585?ln=en">Fast Tracking on Heterogeneous Hardware for the ATLAS Event Filter </a>(ATL-DAQ-SLIDE-2023-534)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Kahn, Abraham</td></tr><tr><td><a href="https://cds.cern.ch/record/2873625?ln=en">ATLAS Trigger and Data Acquisition Upgrades for the High Luminosity LHC </a>(ATL-DAQ-SLIDE-2023-535)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Negri, Andrea</td></tr><tr><td><a href="https://cds.cern.ch/record/2873628?ln=en">FELIX: first operational experience with the new ATLAS readout system and perspectives for HL-LHC </a>(ATL-DAQ-SLIDE-2023-537)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Hoya, Joaquin</td></tr><tr><td><a href="https://cds.cern.ch/record/2873629?ln=en">Operational experience with the new ATLAS HLT framework for LHC Run 3 </a>(ATL-DAQ-SLIDE-2023-538)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Poreba, Aleksandra</td></tr><tr><td><a href="https://cds.cern.ch/record/2863775?ln=en">Development of the ATLAS Liquid Argon Calorimeter Readout Electronics for the HL-LHC </a>(ATL-LARG-SLIDE-2023-255)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Ventura Gonzalez, Salvador</td></tr><tr><td><a href="https://cds.cern.ch/record/2863776?ln=en">Machine Learning for Real-Time Processing of ATLAS Liquid Argon Calorimeter Signals with FPGAs </a>(ATL-LARG-SLIDE-2023-256)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Voigt, Johann Christoph</td></tr><tr><td><a href="https://cds.cern.ch/record/2872877?ln=en">ATLAS Open Data </a>(ATL-OREACH-SLIDE-2023-527)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Krasznahorkay, Attila</td></tr><tr><td><a href="https://cds.cern.ch/record/2857975?ln=en">Demonstrating an Active Learning driven pipeline for optimized analysis reinterpretation: An extended search for Higgs bosons decaying into four-lepton final states via an intermediary dark-Z boson </a>(ATL-PHYS-PUB-2023-010)</td></tr><tr><td><a href="https://cds.cern.ch/record/2853549?ln=en">HBase / Phoenix-based Data Collection and Storage for the ATLAS EventIndex </a>(ATL-SOFT-SLIDE-2023-033)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Garcia Montoro, Carlos</td></tr><tr><td><a href="https://cds.cern.ch/record/2856755?ln=en">AthenaMT: a retrospective </a>(ATL-SOFT-SLIDE-2023-107)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Snyder, Scott</td></tr><tr><td><a href="https://cds.cern.ch/record/2857278?ln=en">The Platform-as-a-Service paradigm meets ATLAS: developing an automated analysis workflow on the newly established INFN Cloud </a>(ATL-SOFT-SLIDE-2023-110)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Marcon, Caterina</td></tr><tr><td><a href="https://cds.cern.ch/record/2857279?ln=en">Optimizing ATLAS data storage: the impact of compression algorithms on ATLAS physics analysis data formats </a>(ATL-SOFT-SLIDE-2023-111)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Marcon, Caterina</td></tr><tr><td><a href="https://cds.cern.ch/record/2857280?ln=en">Recent Developments in the FullSimLight Simulation Tool from ATLAS </a>(ATL-SOFT-SLIDE-2023-112)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Khan, Raees Ahmad</td></tr><tr><td><a href="https://cds.cern.ch/record/2857454?ln=en">The ATLAS Workflow Management System Evolution in the LHC Run3 and towards the High-Luminosity LHC era </a>(ATL-SOFT-SLIDE-2023-117)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Klimentov, Alexei</td></tr><tr><td><a href="https://cds.cern.ch/record/2857488?ln=en">Examining the Impact of Data Layout on Tape on Data Recall Performance for ATLAS </a>(ATL-SOFT-SLIDE-2023-119)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Misawa, Shigeki</td></tr><tr><td><a href="https://cds.cern.ch/record/2857625?ln=en">Updates to the ATLAS Data Carousel Project </a>(ATL-SOFT-SLIDE-2023-124)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Borodin, Misha</td></tr><tr><td><a href="https://cds.cern.ch/record/2857626?ln=en">Xrootd S3 Gateway for WLCG Storage </a>(ATL-SOFT-SLIDE-2023-125)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Hanushevsky, Andrew Bohdan</td></tr><tr><td><a href="https://cds.cern.ch/record/2857627?ln=en">Towards a new conditions data infrastructure for ATLAS </a>(ATL-SOFT-SLIDE-2023-126)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Formica, Andrea</td></tr><tr><td><a href="https://cds.cern.ch/record/2857630?ln=en">Enhancing data consistency in ATLAS and CERN HR databases through automated synchronization </a>(ATL-SOFT-SLIDE-2023-129)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Aleksandravicius, Gabriel</td></tr><tr><td><a href="https://cds.cern.ch/record/2857631?ln=en">Framework for custom event sample augmentations for ATLAS analysis data </a>(ATL-SOFT-SLIDE-2023-130)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Van Gemmeren, Peter</td></tr><tr><td><a href="https://cds.cern.ch/record/2857646?ln=en">Common CP Algorithms at ATLAS </a>(ATL-SOFT-SLIDE-2023-134)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Krumnack, Nils Erik</td></tr><tr><td><a href="https://cds.cern.ch/record/2857657?ln=en">Columnar analysis and on-the-fly analysis corrections at ATLAS </a>(ATL-SOFT-SLIDE-2023-140)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Krumnack, Nils Erik</td></tr><tr><td><a href="https://cds.cern.ch/record/2857667?ln=en">Faster simulated track reconstruction in the ATLAS Fast Chain </a>(ATL-SOFT-SLIDE-2023-141)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Leight, William Axel</td></tr><tr><td><a href="https://cds.cern.ch/record/2857668?ln=en">AtlFast3, the new fast simulation in ATLAS </a>(ATL-SOFT-SLIDE-2023-142)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Faucci Giannelli, Michele</td></tr><tr><td><a href="https://cds.cern.ch/record/2857740?ln=en">Extending Rucio with modern cloud storage support </a>(ATL-SOFT-SLIDE-2023-146)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Lassnig, Mario</td></tr><tr><td><a href="https://cds.cern.ch/record/2857787?ln=en">FastCaloGAN: A FAST SIMULATION OF THE ATLAS CALORIMETER WITH GANs </a>(ATL-SOFT-SLIDE-2023-147)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Bandieramonte, Marilena</td></tr><tr><td><a href="https://cds.cern.ch/record/2857788?ln=en">A grid site reimagined </a>(ATL-SOFT-SLIDE-2023-148)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Taylor, Ryan</td></tr><tr><td><a href="https://cds.cern.ch/record/2857792?ln=en">Computing Activities at the Spanish Tier-1 and Tier-2s for the ATLAS experiment in the LHC Run3 period and towards High Luminosity (HL-LHC) </a>(ATL-SOFT-SLIDE-2023-152)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Gonzalez De La Hoz, Santiago</td></tr><tr><td><a href="https://cds.cern.ch/record/2857794?ln=en">Operational Intelligence in the ATLAS Continuous Integration System </a>(ATL-SOFT-SLIDE-2023-153)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Undrus, Alexander</td></tr><tr><td><a href="https://cds.cern.ch/record/2857798?ln=en">The ATLAS experiment software on ARM </a>(ATL-SOFT-SLIDE-2023-154)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Elmsheuser, Johannes</td></tr><tr><td><a href="https://cds.cern.ch/record/2857818?ln=en">Deployment and Operation of the ATLAS EventIndex for LHC Run 3 </a>(ATL-SOFT-SLIDE-2023-155)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Gallas, Elizabeth</td></tr><tr><td><a href="https://cds.cern.ch/record/2857819?ln=en">Utilizing Distributed Heterogeneous Computing with PanDA in ATLAS </a>(ATL-SOFT-SLIDE-2023-156)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Maeno, Tadashi</td></tr><tr><td><a href="https://cds.cern.ch/record/2857820?ln=en">Bringing the ATLAS HammerCloud setup to the next level with containerization </a>(ATL-SOFT-SLIDE-2023-157)</td></tr><tr><td style="padding-bottom: 5px; 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font-style: italic; font-size: 80%">by Weber, Christian</td></tr><tr><td><a href="https://cds.cern.ch/record/2858018?ln=en">The Creation and Evolution of the US ATLAS Shared Analysis Facilities </a>(ATL-SOFT-SLIDE-2023-171)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Rind, Ofer</td></tr><tr><td><a href="https://cds.cern.ch/record/2858032?ln=en">Exploring Future Storage Options for ATLAS at the BNL/SDCC facility Author(s): Huang, Qiulan: Brookhaven National Laboratory (US) </a>(ATL-SOFT-SLIDE-2023-172)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Huang, Qiulan</td></tr><tr><td><a href="https://cds.cern.ch/record/2858337?ln=en">BigPanDA monitoring system evolution in the ATLAS experiment </a>(ATL-SOFT-SLIDE-2023-173)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Korchuganova, Tatiana</td></tr><tr><td><a href="https://cds.cern.ch/record/2858444?ln=en">Simulation of Z →μμ events with Normalizing Flow </a>(ATL-SOFT-SLIDE-2023-175)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Fitzhugh, Peter Michael</td></tr><tr><td><a href="https://cds.cern.ch/record/2859909?ln=en">One year of LHCb triggerless DAQ: achievements and lessons learned </a>(LHCb-TALK-2023-092)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Pisani, Flavio</td></tr><tr><td><a href="https://cds.cern.ch/record/2859910?ln=en">Impact of the high-level trigger for detecting long-lived particles at LHCb </a>(LHCb-TALK-2023-093)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Vilasis Cardona, Xavier</td></tr><tr><td><a href="https://cds.cern.ch/record/2859911?ln=en">THE LHCB ULTRA-FAST SIMULATION OPTION, LAMARR </a>(LHCb-TALK-2023-094)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Barbetti, Matteo</td></tr><tr><td><a href="https://cds.cern.ch/record/2859912?ln=en">LHCb Online Monitoring </a>(LHCb-TALK-2023-095)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Matev, Rosen</td></tr><tr><td><a href="https://cds.cern.ch/record/2859913?ln=en">Facilitating the preservation of LHCb analyses </a>(LHCb-TALK-2023-096)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Couturier, Ben</td></tr><tr><td><a href="https://cds.cern.ch/record/2859919?ln=en">Demonstration of track reconstruction with FPGAs on live data at LHCb </a>(LHCb-TALK-2023-097)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Lazzari, Federico</td></tr><tr><td><a href="https://cds.cern.ch/record/2859920?ln=en">LHCb GPU trigger commissioning with first data </a>(LHCb-TALK-2023-098)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Fitzpatrick, Conor</td></tr><tr><td><a href="https://cds.cern.ch/record/2859924?ln=en">INTEGRATING LHCB OFFLINE ACTIVITIES ON SUPERCOMPUTERS </a>(LHCb-TALK-2023-099)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Boyer, Alexandre Franck</td></tr><tr><td><a href="https://cds.cern.ch/record/2859925?ln=en">An Ntuple production service for accessing LHCb Open Data: the Ntuple Wizard </a>(LHCb-TALK-2023-100)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Fitzgerald, Dillon Scott</td></tr><tr><td><a href="https://cds.cern.ch/record/2859926?ln=en">Performance Study of Alternative Calorimeter Clustering Solutions for Allen in LHCb </a>(LHCb-TALK-2023-101)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Valls Canudas, Nuria</td></tr><tr><td><a href="https://cds.cern.ch/record/2859928?ln=en">Fast Inclusive Flavo(u)r Tagging at LHCb </a>(LHCb-TALK-2023-102)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Prouve, Claire</td></tr><tr><td><a href="https://cds.cern.ch/record/2859930?ln=en">LbMCSubmit: A new flexible and scalable request submission system for LHCb simulation </a>(LHCb-TALK-2023-103)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Burr, Chris</td></tr><tr><td><a href="https://cds.cern.ch/record/2859931?ln=en">Ensuring Simulation Quality in the LHCb experiment </a>(LHCb-TALK-2023-104)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Couturier, Ben</td></tr><tr><td><a href="https://cds.cern.ch/record/2859932?ln=en">The LHCb simulation software Gauss and its Gaussino core framework </a>(LHCb-TALK-2023-105)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Mazurek, Michal</td></tr><tr><td><a href="https://cds.cern.ch/record/2859934?ln=en">FPGA-based real-time cluster ﬁnding for the LHCb silicon pixel detector </a>(LHCb-TALK-2023-106)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Bassi, Giovanni</td></tr><tr><td><a href="https://cds.cern.ch/record/2859936?ln=en">Lifecycle Management, Business Continuity and Disaster Recovery Planning for the LHCb Experiment Control System Infrastructure </a>(LHCb-TALK-2023-107)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Cifra, Pierfrancesco</td></tr><tr><td><a href="https://cds.cern.ch/record/2859937?ln=en">Applications of Lipschitz neural networks to the Run 3 LHCb trigger </a>(LHCb-TALK-2023-108)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Delaney, Blaise Raheem</td></tr><tr><td><a href="https://cds.cern.ch/record/2859938?ln=en">GNN for Deep Full Event Interpretation and hierarchical reconstruction of heavy-hadron decays in proton-proton collisions </a>(LHCb-TALK-2023-109)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Eschle, Jonas</td></tr><tr><td><a href="https://cds.cern.ch/record/2859941?ln=en">From prototypes to large scale detectors: how to exploit the Gaussino simulation framework for detectors studies, with a detour into machine learning </a>(LHCb-TALK-2023-110)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Mazurek, Michal</td></tr><tr><td><a href="https://cds.cern.ch/record/2860038?ln=en">The migration to a standardized architecture for developing systems on the Glance project </a>(LHCb-TALK-2023-117)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Brito, Carlos</td></tr><tr><td><a href="https://cds.cern.ch/record/2860040?ln=en">Glance Search Library </a>(LHCb-TALK-2023-118)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Souza E Silva, Gabriel Jose</td></tr><tr><td><a href="https://cds.cern.ch/record/2860345?ln=en">Analysis Productions: A declarative approach to ntupling </a>(LHCb-TALK-2023-122)</td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Burr, Chris</td></tr><tr><td><a href="https://cds.cern.ch/record/2871747?ln=en">S3 Gateway </a></td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Hanushevsky, Andrew Bohdan</td></tr><tr><td><a href="https://cds.cern.ch/record/2868050?ln=en">Distributed Machine Learning Workflow with PanDA and iDDS in LHC ATLAS </a></td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Guan, Wen</td></tr><tr><td><a href="https://cds.cern.ch/record/2872124?ln=en">Development of the ATLAS Liquid Argon Calorimeter Readout Electronics for the HL-LHC </a></td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Ventura Gonzalez, Salvador</td></tr><tr><td><a href="https://cds.cern.ch/record/2871924?ln=en">Use of a Normalizing Flow model for generating Drell-Yan events in the ATLAS collaboration at the LHC </a></td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Fitzhugh, Peter Michael</td></tr><tr><td><a href="https://cds.cern.ch/record/2872899?ln=en">Toward Ten-Minute Turnaround in CMS Data Analysis The View from Notre Dame </a></td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Lawrence, John</td></tr><tr><td><a href="https://cds.cern.ch/record/2870273?ln=en">Sharing ATLAS Science: Communicating to the Public </a></td></tr><tr><td style="padding-bottom: 5px; font-style: italic; font-size: 80%">by Le Boulicaut, Elise Maria</td></tr></table><br/><small><a href="https://cds.cern.ch/search?p=norfolk20230508&f=962__n">Show contributions in CDS</a></small><br/> <br/> <br/><br/><div align="right"><div style="padding-bottom:2px;padding-top:30px;"><span class="moreinfo" style="margin-right:10px;"> <a href="" class="moreinfo">Back to search</a> </span></div></div> <div class="bottom-left-folded"><div class="recordlastmodifiedbox" style="position:relative;margin-left:1px"> Record created 2023-03-21, last modified 2023-08-31</div></div> <div class="bottom-right-folded" style="text-align:right;padding-bottom:2px;"> <span class="moreinfo" style="margin-right:10px;"><a href="/search?ln=en&p=recid%3A2853081&rm=wrd" class="moreinfo">Similar records</a></span></div> </div> </div> </div> <br/> <br /> <div class="detailedrecordminipanel"> <div class="top-left"></div><div class="top-right"></div> <div class="inside"> <div id="detailedrecordminipanelfile" style="width:33%;float:left;text-align:center;margin-top:0"> <small class="detailedRecordActions">External link:</small><br /><small><a href="https://www.jlab.org/conference/CHEP2023"><img style="border:none" src="/img/file-icon-text-34x48.gif" alt="Download fulltext" /><br />Conference home page</a></small> </div> <div id="detailedrecordminipanelreview" style="width:30%;float:left;text-align:center"> </div> <div id="detailedrecordminipanelactions" style="width:36%;float:right;text-align:right;"> <ul class="detailedrecordactions"> <li><a href="/yourbaskets/add?ln=en&recid=2853081">Add to personal basket</a></li> <li>Export as <a style="text-decoration:underline;font-weight:normal" href="/record/2853081/export/hx?ln=en">BibTeX</a>, <a style="text-decoration:underline;font-weight:normal" href="/record/2853081/export/hm?ln=en">MARC</a>, <a style="text-decoration:underline;font-weight:normal" href="/record/2853081/export/xm?ln=en">MARCXML</a>, <a style="text-decoration:underline;font-weight:normal" href="/record/2853081/export/xd?ln=en">DC</a>, <a style="text-decoration:underline;font-weight:normal" href="/record/2853081/export/xe?ln=en">EndNote</a>,  <a style="text-decoration:underline;font-weight:normal" href="/record/2853081/export/xn?ln=en">NLM</a>, <a style="text-decoration:underline;font-weight:normal" href="/record/2853081/export/xw?ln=en">RefWorks</a> </li> </ul> <div style='padding-left: 13px;'>  <div id="bookmark"></div> <div id="bookmark_sciencewise"></div> <style type="text/css"> #bookmark_sciencewise, #bookmark {float: left;} #bookmark_sciencewise li {padding: 2px; 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