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Machine learning (ML) is a subfield of artificial intelligence. The term applies broadly to a collection of computational algorithms and techniques that train systems from raw data rather than a priori models. ML techniques are now…

Of the tens of thousands of particle accelerators in operation worldwide, the vast majority are not used for particle physics, but instead for applications. Some applications such as radiotherapy for cancer treatment are well-known, while…

Accelerator Physics · Physics 2024-07-16 Suzie Sheehy

The growing energy demands of HPC systems have made energy efficiency a critical concern for system developers and operators. However, HPC users are generally less aware of how these energy concerns influence the design, deployment, and…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-05-28 Estela Suarez , Jorge Amaya , Martin Frank , Oliver Freyermuth , Maria Girone , Bartosz Kostrzewa , Susanne Pfalzner

Research activities on laser plasma accelerators are paved by many significant breakthroughs. This review article provides an opportunity to show the incredible evolution of this field of research which has, in record time, allowed…

Plasma Physics · Physics 2011-12-22 V. Malka

An overview of dynamical systems in accelerator physics is presented with a suggestion of a few issues to be addressed. Also mentioned are a few possible developments in the future. Technical details supporting the views are not presented.

Accelerator Physics · Physics 2020-06-26 Alex Chao

Over the past several years, new machine learning accelerators were being announced and released every month for a variety of applications from speech recognition, video object detection, assisted driving, and many data center applications.…

Hardware Architecture · Computer Science 2021-12-13 Albert Reuther , Peter Michaleas , Michael Jones , Vijay Gadepally , Siddharth Samsi , Jeremy Kepner

I sketch some pressing questions in several active areas of particle physics and outline the challenges they present for the design and operation of detectors.

High Energy Physics - Phenomenology · Physics 2009-10-31 Chris Quigg

This paper describes the main challenges related to power converters in a scientific environment. It proposes some methods of EMC analysis, design, measurement, and EMC troubleshooting.

Accelerator Physics · Physics 2016-07-07 A. Charoy

New machine learning accelerators are being announced and released each month for a variety of applications from speech recognition, video object detection, assisted driving, and many data center applications. This paper updates the survey…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-01-18 Albert Reuther , Peter Michaleas , Michael Jones , Vijay Gadepally , Siddharth Samsi , Jeremy Kepner

Recent P5 report indicated the accelerator-based neutrino and rare decay physics research as a centrepiece of the US domestic HEP program. Operation, upgrade and development of the accelerators for the near-term and longer-term particle…

Accelerator Physics · Physics 2015-11-09 V. Shiltsev , P. Hurh , A. Romanenko , A. Valishev , R. Zwaska

Particle accelerators and their detectors are the world's most powerful microscopes. They enable us to inspect the constituents of matter at attometer scales, study matter under unusual conditions, and concentrate extraordinary amounts of…

High Energy Physics - Phenomenology · Physics 2018-11-13 Chris Quigg

These reports present the results of the 2013 Community Summer Study of the APS Division of Particles and Fields ("Snowmass 2013") on the future program of particle physics in the U.S. Chapter 6, on Accelerator Capabilities, discusses the…

The next generation of accelerators for MegaWatt proton, electron and heavy-ion beams puts unprecedented requirements on the accuracy of particle production predictions, the capability and reliability of the codes used in planning new…

Accelerator Physics · Physics 2012-02-09 N. V. Mokhov

In the rapidly advancing landscape of contemporary technology, power electronics assume a pivotal role across diverse applications, ranging from renewable energy systems to electric vehicles and consumer electronics. The efficacy and…

Systems and Control · Electrical Eng. & Systems 2023-10-10 Maryam Bahrami , Zeyad Khashroum

The use of an external transverse magnetic field to trigger and to control electron self-injection in laser- and particle-beam driven wakefield accelerators is examined analytically and through full-scale particle-in-cell simulations. A…

Plasma Physics · Physics 2011-08-24 J. Vieira , S. F. Martins , V. B. Pathak , R. A. Fonseca , W. B. Mori , L. O. Silva

We review from a theoretical perspective the emerging field of spintronics where active control of spin transport and dynamics in electronic materials may provide novel device application possibilities. In particular, we discuss the quantum…

Condensed Matter · Physics 2007-05-23 S. Das Sarma , Jaroslav Fabian , Xuedong Hu , Igor Zutic

Present results from neutrino experiments at accelerators and nuclear reactors are reviewed with emphasis on neutrino oscillation searches. Future prospects in this field are also discussed.

High Energy Physics - Experiment · Physics 2011-04-15 L. DiLella

Present and future neutrino experiments at accelerators are mainly concerned with understanding the neutrino oscillation phenomenon and its implications. Here a brief account of neutrino oscillations is given together with a description of…

High Energy Physics - Experiment · Physics 2009-09-15 Enrique Fernandez

Particle acceleration at plasma shocks appears to be ubiquitous in the universe, spanning systems in the heliosphere, supernova remnants, and relativistic jets in distant active galaxies and gamma-ray bursts. This review addresses some of…

Astrophysics · Physics 2008-11-26 Matthew G. Baring