The LHCb Stripping Project: Sustainable Legacy Data Processing for High-Energy Physics [0.03%]
大型强子对撞机底夸克探测器实验的数据处理系统：高能物理可持续发展的遗产工程 проект LHCb stripping: устойчивая система обработки данных для физики высоких энергий
Nathan Allen Grieser,Eduardo Rodrigues,Niladri Sahoo et al.
Nathan Allen Grieser et al.
The LHCb Stripping project is a pivotal component of the experiment's data processing framework, designed to refine vast volumes of collision data into manageable samples for offline analysis. It ensures the re-analysis of Runs 1 and 2 lega...
FPGA Implementation of a CNN-Based Topological Trigger for HL-LHC [0.03%]
基于CNN的顶级触发器的 FPGA 实现以应对HL-LHC挑战
J Brooke,E Clement,M Glowacki et al.
J Brooke et al.
The implementation of convolutional neural networks in programmable logic, for applications in fast online event selection at hadron colliders, is studied. In particular, an approach based on full event images for classification is studied,...
Ahmed Abdelmotteleb,Alessandro Bertolin,Chris Burr et al.
Ahmed Abdelmotteleb et al.
The LHCb detector underwent a comprehensive upgrade in preparation for the third data-taking run of the Large Hadron Collider (LHC), known as LHCb Upgrade I. With its increased data rate, Run 3 introduced considerable challenges in both dat...
An automated bandwidth division for the LHCb upgrade trigger [0.03%]
大型强子对撞机LHCb实验升级触发系统的自动化带宽划分方法研究
T Evans,C Fitzpatrick,J Horswill
T Evans
The upgraded Large Hadron Collider beauty (LHCb) experiment is the first detector based at a hadron collider using a fully software-based trigger. The first 'High Level Trigger' stage (HLT1) reduces the event rate from 30 MHz to approximate...
Optimal Operation of Cryogenic Calorimeters Through Deep Reinforcement Learning [0.03%]
基于深度强化学习的低温热容计的最优运行
G Angloher,S Banik,G Benato et al.
G Angloher et al.
Cryogenic phonon detectors with transition-edge sensors achieve the best sensitivity to sub-GeV/c 2 dark matter interactions with nuclei in current direct detection experiments. In such devices, the temperature of the thermometer and the...
Portable Acceleration of CMS Computing Workflows with Coprocessors as a Service [0.03%]
基于协同处理器即服务的便携式CMS计算工作流加速技术研究与实现
Computing demands for large scientific experiments, such as the CMS experiment at the CERN LHC, will increase dramatically in the next decades. To complement the future performance increases of software running on central processing units (...
FunTuple: A New N-tuple Component for Offline Data Processing at the LHCb Experiment [0.03%]
乐趣元组：LHCb 实验离线数据处理的新N-元组组件
Abhijit Mathad,Martina Ferrillo,Sacha Barré et al.
Abhijit Mathad et al.
The offline software framework of the LHCb experiment has undergone a significant overhaul to tackle the data processing challenges that will arise in the upcoming Run 3 and Run 4 of the Large Hadron Collider. This paper introduces FunTuple...
One Flow to Correct Them all: Improving Simulations in High-Energy Physics with a Single Normalising Flow and a Switch [0.03%]
一劳永逸的流方法：用单一流和开关改进高能物理中的模拟
Caio Daumann,Mauro Donega,Johannes Erdmann et al.
Caio Daumann et al.
Simulated events are key ingredients in almost all high-energy physics analyses. However, imperfections in the simulation can lead to sizeable differences between the observed data and simulated events. The effects of such mismodelling on r...
A Flexible and Efficient Approach to Missing Transverse Momentum Reconstruction [0.03%]
缺失横向动量重建的一种灵活有效的方法
William Balunas,Donatella Cavalli,Teng Jian Khoo et al.
William Balunas et al.
Missing transverse momentum is a crucial observable for physics at hadron colliders, being the only constraint on the kinematics of "invisible" objects such as neutrinos and hypothetical dark matter particles. Computing missing transverse m...
GNN for Deep Full Event Interpretation and Hierarchical Reconstruction of Heavy-Hadron Decays in Proton-Proton Collisions [0.03%]
基于图神经网络的重子全事件解读及层级重构研究
Julián García Pardiñas,Marta Calvi,Jonas Eschle et al.
Julián García Pardiñas et al.
The LHCb experiment at the Large Hadron Collider (LHC) is designed to perform high-precision measurements of heavy-hadron decays, which requires the collection of large data samples and a good understanding and suppression of multiple backg...