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Pelayo Leguina (University of Oviedo)09/07/2025, 18:47T12 - Data Handling and ComputingPoster
The ever-increasing need of event generation in particle physics that is required by physics analysis of the LHC data requires innovative techniques to reduce both time and power consumption. We present a study to demonstrate the use of FPGAs and ACAPs to accelerate event generation using MadGraph. We evaluate the performance in terms of the execution time and the power consumption, as the...
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Duc Minh Hoang (Massachusetts Inst. of Technology (US))09/07/2025, 18:47T12 - Data Handling and ComputingPoster
At the Phase-2 Upgrade of the CMS Level-1 Trigger (L1T), particles will be reconstructed by linking charged particle tracks with clusters in the calorimeters and muon tracks from the muon station. The 200 pileup interactions will be mitigated using primary vertex reconstruction for charged particles and a weighting for neutral particles based on the distribution of energy in a small area. Jets...
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Mohammed Abdelrazek Aboelela (Southern Methodist University)09/07/2025, 18:47T12 - Data Handling and ComputingPoster
DIPZ is a machine learning algorithm aiming to re-purpose the Deep Impact Parameter Sets (DIPS) jet-flavour taggers to instead regress the jet’s origin vertex position along the beam-line axis. Deployed at the ATLAS High Level Trigger (HLT), the DIPZ labels of each jet in an event are then used in an HLT jet algorithm to construct an event-wide likelihood-based discriminant variable (MLPL),...
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Zachary Baldwin (Carnegie Mellon University)09/07/2025, 18:47T12 - Data Handling and ComputingPoster
In complex particle physics analyses where signal and background events are intertwined across multidimensional phase space, statistically consistent event-by-event weighting is indispensable for unbiased extraction of signal observables. However, many widely used methods can often fail to correctly estimate this separation, particularly in the presence of statistically independent variables...
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Natascha Krammer (Institute of High Energy Physics, ÖAW)09/07/2025, 18:47T12 - Data Handling and ComputingPoster
The Monte Carlo simulation landscape for the CMS experiment has been enriched in view of the challenges for the High Luminosity(HL)-LHC. In addition to the very different functions of Full Simulation and Fast Simulation, a new player, FlashSim, is gaining in importance. Full Simulation scores with a precise simulation based on the Geant4 detector simulation, but at the expense of runtime. The...
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Vladimir GLIGOROV (LPNHE)09/07/2025, 18:47T12 - Data Handling and ComputingPoster
The next decades will see a new generation of scientific facilities and experiments generate exabytes of data, requiring physics-quality inference to be performed in real time in order to reduce their volume to manageable amounts for permanent storage and final physics analysis. Two of the biggest examples of such facilities are the SKAO and HL-LHC, which also share a common scientific goal of...
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Daniel Estrada Acevedo (Universidad de Oviedo)09/07/2025, 18:47T12 - Data Handling and ComputingPoster
Phase-2 CMS will replace the trigger and data acquisition system in preparation for the HL-LHC. This upgrade will allow a maximum accept rate of 750kHz and a latency of 12.5us. To achieve this, new electronics and firmware are being designed. We describe the first version of an algorithm capable of detecting and identifying muon showers, running in the first layer of the trigger system. It was...
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