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The ATLAS detector at LHC will require a Trigger system to efficiently select events down to a manageable event storage rate of about 400 Hz. By 2015 the LHC instantaneous luminosity will be increased up to 3 x 10^34 cm-2s-1, this…

仪器与探测器 · 物理学 2014-06-18 Eduard Simioni

We present a software framework for statistical data analysis, called HistFitter, that has been used extensively by the ATLAS Collaboration to analyze big datasets originating from proton-proton collisions at the Large Hadron Collider at…

高能物理 - 实验 · 物理学 2015-06-23 M. Baak , G. J. Besjes , D. Cote , A. Koutsman , J. Lorenz , D. Short

We present a development of the ALFRED framework that includes support for the IPbus protocol, created for the Fast Interaction Trigger (FIT) detector in the ALICE experiment at CERN. This modification resolves the incompatibility between…

In high energy physics (HEP) experiments, the reconstruction of charged particle trajectories is one of the most fundamental yet computationally expensive parts of event processing. At future hadron colliders such as the High-Luminosity…

仪器与探测器 · 物理学 2020-07-03 Xiaocong Ai

As particle physics experiments push their limits on both the energy and the intensity frontiers, the amount and complexity of the produced data are also expected to increase accordingly. With such large data volumes, next-generation…

高能物理 - 实验 · 物理学 2022-03-16 Amit Bashyal , Peter Van Gemmeren , Saba Sehrish , Kyle Knoepfel , Suren Byna , Qiao Kang

ALICE is the dedicated heavy-ion experiment at the CERN Large Hadron Collider (LHC). Its main tracking and particle-identification detector is a large volume Time Projection Chamber (TPC). The TPC has been designed to perform well in the…

仪器与探测器 · 物理学 2022-03-22 Mesut Arslandok , Ernst Hellbär , Marian Ivanov , Robert Helmut Münzer , Jens Wiechula

The LCLS2 Free Electron Laser FEL will generate xray pulses to beamline experiments at up to 1Mhz These experimentals will require new ultrahigh rate UHR detectors that can operate at rates above 100 kHz and generate data throughputs…

仪器与探测器 · 物理学 2023-06-01 Ryan Herbst , Ryan Coffee , Nathan Fronk , Kukhee Kim , Kuktae Kim , Larry Ruckman , J. J. Russell

At the Large Hadron Collider (LHC), the trigger systems for the detectors must be able to process a very large amount of data in a very limited amount of time, so that the nominal collision rate of 40 MHz can be reduced to a data rate that…

仪器与探测器 · 物理学 2015-06-17 P. Lujan , V. Halyo , A. Hunt , P. Jindal , P. LeGresley

High luminosity conditions at the LHC pose many unique challenges for potential silicon based track trigger systems. One of the major challenges is data formatting, where hits from thousands of silicon modules must first be shared and…

仪器与探测器 · 物理学 2016-11-15 Yasuyuki Okumura , Jamieson Olsen , Tiehui Ted Liu , Hang Yin

HEP-Frame is a new C++ package designed to efficiently perform analyses of data sets from a very large number of events, like those available at the Large Hadron Collider (LHC) at CERN, Geneva. It mainly targets high performance servers and…

高能物理 - 实验 · 物理学 2023-03-10 A. Pereira , A. Onofre , A. Proenca

High-Level Synthesis (HLS) enables hardware design from C/C++ kernels but requires extensive transformations, such as restructuring code, inserting pragmas, adapting data types, and repairing non-synthesizable constructs, to achieve…

硬件体系结构 · 计算机科学 2025-12-05 Qingyun Zou , Nuo Chen , Yao Chen , Bingsheng He , WengFei Wong

During the upcoming Runs 3 and 4 of the LHC, ALICE will take data at a peak Pb-Pb collision rate of 50 kHz. This will be made possible thanks to the upgrade of the main tracking detectors of the experiment, and with a new data processing…

仪器与探测器 · 物理学 2020-12-09 Chiara Zampolli

Within the next decade, experimental High Energy Physics (HEP) will enter a new era of scientific discovery through a set of targeted programs recommended by the Particle Physics Project Prioritization Panel (P5), including the upcoming…

数据分析、统计与概率 · 物理学 2022-03-23 S. C. Tognini , P. Canal , T. M. Evans , G. Lima , A. L. Lund , S. R. Johnson , S. Y. Jun , V. R. Pascuzzi , P. K. Romano

Proton-proton collisions at sqrt{s} = 7 TeV and heavy ion collisions at sqrt{s_NN} = 2.76 TeV were produced by the LHC and recorded using the ATLAS experiment's trigger system in 2010. The LHC is designed with a maximum bunch crossing rate…

高能物理 - 实验 · 物理学 2012-08-27 The ATLAS Collaboration

In the upgrade of ATLAS experiment, the front-end electronics components are subjected to a large radiation background. Meanwhile high speed optical links are required for the data transmission between the on-detector and off-detector…

仪器与探测器 · 物理学 2018-06-22 Kai Chen , Hucheng Chen , Weihao Wu , Hao Xu , Lin Yao

The CMS experiment has been designed with a two-level trigger system: the Level 1 (L1) Trigger, implemented on custom-designed electronics, and the High Level Trigger (HLT), a streamlined version of the CMS reconstruction and analysis…

仪器与探测器 · 物理学 2014-09-16 Zeynep Demiragli

The real-time identification and selection of b-jets play a crucial role in the CMS experiment, particularly in searches involving heavy-flavor jets. The High-Level Trigger (HLT) is designed to efficiently select events of interest while…

高能物理 - 实验 · 物理学 2026-02-10 Uttiya Sarkar

The ATLAS detector at CERN has completed its first full year of recording collisions at 7 TeV, resulting in billions of events and petabytes of data. At these scales, physicists must have the capability to read only the data of interest to…

数据分析、统计与概率 · 物理学 2015-03-13 Peter van Gemmeren , David Malon

Electron and photon triggers covering transverse energies from 5 GeV to several TeV are essential for signal selection in a wide variety of ATLAS physics analyses to study Standard Model processes and to search for new phenomena. Final…

高能物理 - 实验 · 物理学 2015-11-16 Gabriella Pásztor

High-energy physics (HEP) provides ever-growing amount of data. To analyse these, continuously-evolving computational power is required in parallel by extending the storage capacity. Such developments play key roles in the future of this…

分布式、并行与集群计算 · 计算机科学 2023-03-10 Gábor Bíró , Gergely Gábor Barnaföldi , Péter Lévai