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We discuss how the CMS and ATLAS experiments are preparing for the analysis of first LHC data with emphasis on the search for supersymmetry. We will show the importance of the understanding of detector, trigger, reconstruction and…

High Energy Physics - Experiment · Physics 2009-02-02 Paul de Jong

This text describes a method to simultaneously reconstruct flow states and determine particle properties from Lagrangian particle tracking (LPT) data. LPT is a popular measurement strategy for fluids in which particles in a flow are…

Fluid Dynamics · Physics 2023-11-16 Ke Zhou , Samuel J. Grauer

Traces and their extension called combined traces (comtraces) are two formal models used in the analysis and verification of concurrent systems. Both models are based on concepts originating in the theory of formal languages, and they are…

Logic in Computer Science · Computer Science 2015-07-01 Lukasz Mikulski

The Accurate Particle Tracer (APT) code is designed for large-scale particle simulations on dynamical systems. Based on a large variety of advanced geometric algorithms, APT possesses long-term numerical accuracy and stability, which are…

Plasma Physics · Physics 2021-10-25 Yulei Wang , Jian Liu , Hong Qin , Zhi Yu ans Yicun Yao

Recently, many multi-modal trackers prioritize RGB as the dominant modality, treating other modalities as auxiliary, and fine-tuning separately various multi-modal tasks. This imbalance in modality dependence limits the ability of methods…

Computer Vision and Pattern Recognition · Computer Science 2025-02-11 Xiantao Hu , Bineng Zhong , Qihua Liang , Zhiyi Mo , Liangtao Shi , Ying Tai , Jian Yang

Correlated time series (CTS) forecasting plays an essential role in many practical applications, such as traffic management and server load control. Many deep learning models have been proposed to improve the accuracy of CTS forecasting.…

Machine Learning · Computer Science 2023-02-28 Zhichen Lai , Dalin Zhang , Huan Li , Christian S. Jensen , Hua Lu , Yan Zhao

The tracking performance parameters of the ATLAS Transition Radiation Tracker (TRT) as part of the ATLAS inner detector are described in this paper for different data-taking conditions in proton-proton, proton-lead and lead-lead collisions…

High Energy Physics - Experiment · Physics 2017-05-11 ATLAS Collaboration

As the Large Hadron Collider (LHC) continues its upward progression in energy and luminosity towards the planned High-Luminosity LHC (HL-LHC) in 2025, the challenges of the experiments in processing increasingly complex events will also…

Instrumentation and Detectors · Physics 2022-10-05 Paul Lujan , Valerie Halyo

In marine surveillance, distinguishing between normal and anomalous vessel movement patterns is critical for identifying potential threats in a timely manner. Once detected, it is important to monitor and track these vessels until a…

Machine Learning · Computer Science 2023-06-08 Md Asif Bin Syed , Imtiaz Ahmed

One of the most challenging computational problems in the Run 3 of the Large Hadron Collider (LHC) and more so in the High-Luminosity LHC (HL-LHC) is expected to be finding and fitting charged-particle tracks during event reconstruction.…

This paper documents package for the particle level fast simulation. The package is designed to complete the AcerMC generator framework with the easy-to-use simulation and reconstruction algorithms. The package provides, starting from list…

High Energy Physics - Phenomenology · Physics 2007-05-23 E. Richter-Was

The upcoming PANDA experiment at FAIR will be among a new generation of particle physics experiments to employ a novel event filtering system realised purely in software, i.e. a software trigger. To educate its triggering decisions, online…

Instrumentation and Detectors · Physics 2020-12-15 W. Ikegami Andersson , A. Akram , T. Johansson , R. Kliemt , M. Papenbrock , J. Regina , K. Schönning , T. Stockmanns

When a network is attacked, cyber defenders need to precisely identify which systems (i.e., computers or devices) were compromised and what damage may have been inflicted. This process is sometimes referred to as cyber triage and is an…

Cryptography and Security · Computer Science 2024-09-18 Eric Ficke , Raymond M. Bateman , Shouhuai Xu

Power density constraints are limiting the performance improvements of modern CPUs. To address this we have seen the introduction of lower-power, multi-core processors such as GPGPU, ARM and Intel MIC. To stay within the power density…

Efficiently modeling spatio-temporal relations of objects is a key challenge in visual object tracking (VOT). Existing methods track by appearance-based similarity or long-term relation modeling, resulting in rich temporal contexts between…

Computer Vision and Pattern Recognition · Computer Science 2024-03-14 Yushan Han , Kaer Huang

Agentic coding systems increasingly use large language models (LLMs) for software engineering tasks such as debugging, root cause analysis, and code review. However, many existing systems encode task logic, execution flow, and output…

Software Engineering · Computer Science 2026-05-18 Shubhi Asthana , Bing Zhang , Chad DeLuca , Hima Patel , Ruchi Mahindru

We review the physics performance of the ATLAS detector for hard probes in heavy ion collisions, focusing on three topics: jet reconstruction, direct photon measurement, and heavy flavor jet tagging.

Nuclear Experiment · Physics 2019-08-13 Jiangyong Jia

We present a general approach to batching arbitrary computations for accelerators such as GPUs. We show orders-of-magnitude speedups using our method on the No U-Turn Sampler (NUTS), a workhorse algorithm in Bayesian statistics. The central…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-03-13 Alexey Radul , Brian Patton , Dougal Maclaurin , Matthew D. Hoffman , Rif A. Saurous

The Average Common Substring (ACS) is a popular alignment-free distance measure for phylogeny reconstruction. The ACS can be computed in O(n) space and time, where n=x+y is the input size. The compressed string matching is the study of…

Data Structures and Algorithms · Computer Science 2018-05-17 Sahar Hooshmand , Neda Tavakoli , Paniz Abedin , Sharma V. Thankachan