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The proposed high-luminosity high-energy Electron-Ion Collider (EIC) will provide a clean environment to precisely study several fundamental questions in the fields of high-energy and nuclear physics . A low material budget and high…

Current and next-generation particle tracking detectors will incorporate precision timing capabilities with resolutions approaching tens of picoseconds. Using Technology Computer-Aided Design (TCAD) simulations of Low-Gain Avalanche Diode…

Current, state-of-the-art CCDs are close to being able to deliver all key performance figures for future strategic X-ray missions except for the required frame rates. Our Stanford group is seeking to close this technology gap through a…

Instrumentation and Methods for Astrophysics · Physics 2022-08-03 S. Herrmann , P. Orel , T. Chattopadhyay , R. G. Morris , G. Prigozhin , K. Donlon , R. Foster , M. Bautz , S. Allen , C. Leitz

Data-intensive science is increasingly reliant on real-time processing capabilities and machine learning workflows, in order to filter and analyze the extreme volumes of data being collected. This is especially true at the energy and…

Artificial Intelligence · Computer Science 2021-04-21 Chinmaya Mahesh , Kristin Dona , David W. Miller , Yuxin Chen

We present the optical data links for the ATLAS liquid argon calorimeter. The current status of the vertical cavity surface emitting laser failures, the up-to-date results in searching for the failure cause, experiences gained in the…

Instrumentation and Detectors · Physics 2022-02-14 Tiankuan Liu

Detector readout systems for medium to large scale physics experiments, and instruments in some other fields as well, are generally composed of multiple front-end digitizer boards distributed over a certain area. Often, this hardware has to…

Systems and Control · Electrical Eng. & Systems 2020-10-28 Denis Calvet

Wireless techniques have developed extremely fast over the last decade and using them for data and power transmission in particle physics detectors is not science- fiction any more. During the last years several research groups have…

We describe the main components of the ATLAS Forward Physics project, namely the movable beam pipe, the tracking and timing detectors which allow to detect intact protons in the final state at the LHC. The position detector is composed on 6…

Instrumentation and Detectors · Physics 2016-11-15 Christophe Royon

The widespread use of high energy particle beams in basic research, medicine and coherent X-ray generation coupled with the large size of modern radio frequency (RF) accelerator devices and facilities has motivated a strong need for…

Large array gas detector systems are used in particle and nuclear physics experiments involving high-energy nucleon-nucleon and heavy-ion collisions. We have observed that in large array gas detector systems the momentary discharges inside…

Instrumentation and Detectors · Physics 2010-01-27 M. R. Dutta Majumdar , Debasish Das , Tapan K. Nayak

The paper gives a short overview of the principles of particle accelerators, their historical development and the typical performance limitations. After an introduction to the basic concepts, the main emphasis is to sketch the layout of…

Accelerator Physics · Physics 2020-07-09 Massimo Ferrario , Bernhard J. Holzer

Emerging artificial intelligence applications across the domains of computer vision, natural language processing, graph processing, and sequence prediction increasingly rely on deep neural networks (DNNs). These DNNs require significant…

Hardware Architecture · Computer Science 2024-08-01 Sudeep Pasricha

Particle Accelerators are high power complex machines. To ensure uninterrupted operation of these machines, thousands of pieces of equipment need to be synchronized, which requires addressing many challenges including design, optimization…

Machine Learning · Computer Science 2025-04-08 Kishansingh Rajput , Sen Lin , Auralee Edelen , Willem Blokland , Malachi Schram

Laser plasma accelerators have the potential to reduce the size of future linacs for high energy physics by more than an order of magnitude, due to their high gradient. Research is in progress at current facilities, including the BELLA…

Accelerator Physics · Physics 2013-10-01 C. G. R. Geddes , J. -L. Vay , C. B. Schroeder , E. Esarey , W. P. Leemans

(Abridged version) The CMS experiment at the LHC will begin operation in 2007. The CMS Tracker sub-detector, comprises ~10 million detector channels read out by ~40 000 analog optical links. The optoelectronic components have been designed…

Instrumentation and Detectors · Physics 2010-05-03 Stefanos Dris

The recent advent of deep artificial neural networks has resulted in a dramatic increase in performance for object classification and detection. While pre-trained with everyday objects, we find that a state-of-the-art object detection…

Plasma Physics · Physics 2022-10-07 Jinpu Lin , Florian Haberstroh , Stefan Karsch , Andreas Döpp

The CosmoLink project aims to develop low cost, low power, long range and portable form factor particle detectors for experimental and educational research on Cosmic Rays. Use of these detectors distributed across locations will be used for…

High Energy Physics - Experiment · Physics 2025-02-14 Yuvaraj Elangovan

To probe physics of interest a decade after the LHC begins to take data, the Linear Collider will need to have the capability of performing precision measurements of masses and couplings. We discuss the demands that this places on its…

Instrumentation and Detectors · Physics 2007-05-23 Bruce A. Schumm

Deep neural network based object detectors are continuously evolving and are used in a multitude of applications, each having its own set of requirements. While safety-critical applications need high accuracy and reliability, low-latency…

Computer Vision and Pattern Recognition · Computer Science 2023-02-15 Elahe Arani , Shruthi Gowda , Ratnajit Mukherjee , Omar Magdy , Senthilkumar Kathiresan , Bahram Zonooz

Efficient and accurate object detection is an important topic in the development of computer vision systems. With the advent of deep learning techniques, the accuracy of object detection has increased significantly. The project aims to…

Computer Vision and Pattern Recognition · Computer Science 2025-03-04 Md Pranto , Omar Faruk