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Related papers: Dynamic Alignment Method at the LHC

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Results on soft and hard diffraction obtained by the CDF Collaboration at the Fermilab Tevatron proton-antiproton Collider are reviewed with emphasis on aspects of the data that point to the underlying QCD mechanism for diffraction. The…

High Energy Physics - Phenomenology · Physics 2014-11-17 Konstantin Goulianos

In this short review, we describe some of the results on diffraction from the Tevatron and give some prospects for the LHC. In particular, we discuss the search for exclusive events at the Tevatron and their importance for the LHC program/…

High Energy Physics - Phenomenology · Physics 2009-10-02 C. Royon

The Dynamic Monte Carlo (DMC) method is an established molecular simulation technique for the analysis of the dynamics in colloidal suspensions. An excellent alternative to Brownian Dynamics or Molecular Dynamics simulation, DMC is…

Soft Condensed Matter · Physics 2020-07-15 Fabián A. García Daza , Alejandro Cuetos , Alessandro Patti

Experimental prospects for studying high-energy photon-photon and photon-proton interactions at the LHC are discussed. Assuming a typical LHC multipurpose detector, various signals and their irreducible backgrounds are presented after…

High Energy Physics - Phenomenology · Physics 2010-12-01 M. Vander Donckt

The ATLAS detector, built at one of the interaction points of the Large Hadron Collider, is operational and has been collecting data from cosmic rays. This paper describes the track based alignment of the ATLAS Inner Detector tracker which…

Instrumentation and Detectors · Physics 2019-08-13 Grant Gorfine

The potential of the LHeC, a future electron-proton collider, for precision Deep Inelastic Scattering measurements is reviewed with particular emphasis on the reduction of uncertainties on the parton distribution functions (PDFs) of the…

High Energy Physics - Phenomenology · Physics 2019-08-14 A M Cooper-Sarkar

We propose a novel approach for discovering a light dark photon in the forward experiments at the LHC, including the SND@LHC and the FASER experiments. Assuming the dark photon is lighter than twice the electron mass and feebly interacts…

High Energy Physics - Phenomenology · Physics 2024-10-16 Yeong Gyun Kim , Kang Young Lee , Soo-hyeon Nam

Via the numerical analysis on the intraband dynamics of optically excited semiconductor superlattices, we find that time-integrated squared THz emission signals can be used for probing both dynamic localization and multi-photon resonance in…

Mesoscale and Nanoscale Physics · Physics 2007-05-23 W. -X. Yan , S. -Q. Bao , X. -G. Zhao

This paper presents a novel method for the reconstruction of interaction vertices in particle collision data. The algorithm is an agglomerative clustering technique designed for high-luminosity environments in current and future…

Instrumentation and Detectors · Physics 2017-05-02 Federico Meloni

Detection transformers have recently shown promising object detection results and attracted increasing attention. However, how to develop effective domain adaptation techniques to improve its cross-domain performance remains unexplored and…

Computer Vision and Pattern Recognition · Computer Science 2022-07-18 Wen Wang , Yang Cao , Jing Zhang , Fengxiang He , Zheng-Jun Zha , Yonggang Wen , Dacheng Tao

We consider the Kalman-filtering problem with multiple sensors which are connected through a communication network. If all measurements are delivered to one place called fusion center and processed together, we call the process centralized…

Optimization and Control · Mathematics 2019-03-29 Kunhee Ryu , Juhoon Back

A new method for directional fast neutron detection is proposed based on a neutron time projection chamber (TPC) and position-sensitive plastic scintillation detectors. The detection system can efficiently locate the approximate location of…

Instrumentation and Detectors · Physics 2019-07-11 Yidong Fu , Yang Tian , Yulan Li , Jian Yang , Jin Li

A distributed pose localization framework based on direction measurements is proposed for a type of \textit{leader-follower} multi-agent systems in $\mathbb{R}^3$. The novelty of the proposed localization method lies in the elimination of…

Optimization and Control · Mathematics 2022-02-11 Quoc Van Tran , Brian D. O. Anderson , Hyo-Sung Ahn

Federated continual learning (FCL) has garnered increasing attention for its ability to support distributed computation in environments with evolving data distributions. However, the emergence of new tasks introduces both temporal and…

Machine Learning · Computer Science 2025-09-30 Danni Yang , Zhikang Chen , Sen Cui , Mengyue Yang , Ding Li , Abudukelimu Wuerkaixi , Haoxuan Li , Jinke Ren , Mingming Gong

The ATLAS experiment at the LHC is building several detector systems for forward physics studies and to determine the luminosity. The main forward systems consist of a Cerenkov detector called LUCID, a Zero Degree Calorimeter (ZDC) and…

High Energy Physics - Experiment · Physics 2007-06-06 Stefan Ask

We present an algorithm for extracting key-point descriptors using deep convolutional neural networks (CNN). Unlike many existing deep CNNs, our model computes local features around a given point in an image. We also present a face…

Computer Vision and Pattern Recognition · Computer Science 2016-02-01 Amit Kumar , Rajeev Ranjan , Vishal Patel , Rama Chellappa

Within the international studies of a high energy linear electron positron collider, several groups are developing and testing prototypes for a Linear Collider TPC. This detector is planned to be used as a central part in the tracking…

Instrumentation and Detectors · Physics 2007-05-23 M. Ball , N. Ghodbane , M. Janssen , P. Wienemann

A short run of proton-oxygen and oxygen-oxygen collisions is planned to take place at the Large Hadron Collider during LHC Run 3. The primary goal of this run is to improve the modeling of Cosmic-Ray interactions and to reduce the…

High Energy Physics - Experiment · Physics 2023-08-08 Michael Pitt

Charge Coupled Devices (CCDs) have been successfully used in several high energy physics experiments over the past two decades. Their high spatial resolution and thin sensitive layers make them an excellent tool for studying short-lived…

Part-level representations are essential for robust person re-identification. However, common errors that arise during pedestrian detection frequently result in severe misalignment problems for body parts, which degrade the quality of part…

Computer Vision and Pattern Recognition · Computer Science 2019-12-16 Kan Wang , Changxing Ding , Stephen J. Maybank , Dacheng Tao