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Related papers: Planning the Future of U.S. Particle Physics (Snow…

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Particles have tremendous potential as astronomical messengers, and conversely, studying the universe as a whole also teaches us about particle physics. This thesis encompasses both of these research directions. Many models predict a…

Astrophysics · Physics 2008-08-04 Molly E. C. Swanson

Quantum computing offers a new paradigm for advancing high-energy physics research by enabling novel methods for representing and reasoning about fundamental quantum mechanical phenomena. Realizing these ideals will require the development…

Computing plays a significant role in all areas of high energy physics. The Snowmass 2021 CompF4 topical group's scope is facilities R&D, where we consider "facilities" as the computing hardware and software infrastructure inside the data…

Computation is becoming an increasingly important part of physics education. However, there are currently few theories of learning that can be used to help explain and predict the unique challenges and affordances associated with…

Physics Education · Physics 2020-01-01 Tor Ole B. Odden , Elise Lockwood , Marcos D. Caballero

This paper reviews connections between physics and computation, and explores their implications. The main topics are computational "hardness" of physical systems, computational status of fundamental theories, quantum computation, and the…

Logic · Mathematics 2007-05-23 Joseph Shipman

The US particle physics community planning exercise (a.k.a. Snowmass) is organized every 7 to 9 years to provide a forum for discussions among the entire particle physics community to develop a scientific vision for the future of particle…

Accelerator Physics · Physics 2022-08-23 Stephen Gourlay , Tor Raubenheimer , Vladimir Shiltsev

Machine learning has been applied to several problems in particle physics research, beginning with applications to high-level physics analysis in the 1990s and 2000s, followed by an explosion of applications in particle and event…

Computational Physics · Physics 2019-05-17 Kim Albertsson , Piero Altoe , Dustin Anderson , John Anderson , Michael Andrews , Juan Pedro Araque Espinosa , Adam Aurisano , Laurent Basara , Adrian Bevan , Wahid Bhimji , Daniele Bonacorsi , Bjorn Burkle , Paolo Calafiura , Mario Campanelli , Louis Capps , Federico Carminati , Stefano Carrazza , Yi-fan Chen , Taylor Childers , Yann Coadou , Elias Coniavitis , Kyle Cranmer , Claire David , Douglas Davis , Andrea De Simone , Javier Duarte , Martin Erdmann , Jonas Eschle , Amir Farbin , Matthew Feickert , Nuno Filipe Castro , Conor Fitzpatrick , Michele Floris , Alessandra Forti , Jordi Garra-Tico , Jochen Gemmler , Maria Girone , Paul Glaysher , Sergei Gleyzer , Vladimir Gligorov , Tobias Golling , Jonas Graw , Lindsey Gray , Dick Greenwood , Thomas Hacker , John Harvey , Benedikt Hegner , Lukas Heinrich , Ulrich Heintz , Ben Hooberman , Johannes Junggeburth , Michael Kagan , Meghan Kane , Konstantin Kanishchev , Przemysław Karpiński , Zahari Kassabov , Gaurav Kaul , Dorian Kcira , Thomas Keck , Alexei Klimentov , Jim Kowalkowski , Luke Kreczko , Alexander Kurepin , Rob Kutschke , Valentin Kuznetsov , Nicolas Köhler , Igor Lakomov , Kevin Lannon , Mario Lassnig , Antonio Limosani , Gilles Louppe , Aashrita Mangu , Pere Mato , Narain Meenakshi , Helge Meinhard , Dario Menasce , Lorenzo Moneta , Seth Moortgat , Mark Neubauer , Harvey Newman , Sydney Otten , Hans Pabst , Michela Paganini , Manfred Paulini , Gabriel Perdue , Uzziel Perez , Attilio Picazio , Jim Pivarski , Harrison Prosper , Fernanda Psihas , Alexander Radovic , Ryan Reece , Aurelius Rinkevicius , Eduardo Rodrigues , Jamal Rorie , David Rousseau , Aaron Sauers , Steven Schramm , Ariel Schwartzman , Horst Severini , Paul Seyfert , Filip Siroky , Konstantin Skazytkin , Mike Sokoloff , Graeme Stewart , Bob Stienen , Ian Stockdale , Giles Strong , Wei Sun , Savannah Thais , Karen Tomko , Eli Upfal , Emanuele Usai , Andrey Ustyuzhanin , Martin Vala , Justin Vasel , Sofia Vallecorsa , Mauro Verzetti , Xavier Vilasís-Cardona , Jean-Roch Vlimant , Ilija Vukotic , Sean-Jiun Wang , Gordon Watts , Michael Williams , Wenjing Wu , Stefan Wunsch , Kun Yang , Omar Zapata

Computation, the use of a computer to solve, simulate, or visualize a physical problem, has revolutionized how physics research is done. Computation is used widely to model systems, to simulate experiments, and to analyze data. Yet, in most…

Physics Education · Physics 2015-11-18 Marcos D. Caballero

The data storage and data management needs are summarized for the energy frontier, intensity frontier, cosmic frontier, lattice field theory, perturbative QCD and accelerator science. The outlook for data storage technologies and costs is…

High Energy Physics - Experiment · Physics 2013-11-20 Michelle Butler , Richard Mount , Mike Hildreth

This report summarizes the work of the Computational Frontier topical group on theoretical calculations and simulation for Snowmass 2021. We discuss the challenges, potential solutions, and needs facing six diverse but related topical areas…

Computational Physics · Physics 2022-09-20 Peter Boyle , Kevin Pedro , Ji Qiang

Quantum computing will play a pivotal role in the High Energy Physics (HEP) science program over the early parts of the 21$^{st}$ Century, both as a major expansion of our capabilities across the Computational Frontier, and in synthesis…

Quantum Physics · Physics 2022-09-15 Travis S. Humble , Gabriel N. Perdue , Martin J. Savage

Quantum Computing promises accelerated simulation of certain classes of problems, in particular in plasma physics. Given the nascent interest in applying quantum computing techniques to study plasma systems, a compendium of the relevant…

Plasma Physics · Physics 2023-02-02 Óscar Amaro , Diogo Cruz

The 2022 Snowmass Community Summer Study consisted of two years of engagement with the particle physics community to craft a US particle physics strategy for the next decade, culminating in the 2022 Snowmass Book. This Report of the Topical…

Instrumentation and Detectors · Physics 2022-09-27 Andrew White , Minfang Yeh , Rachel Yohay

I present my views on the future of America's program in particle physics. I discuss a variety of experimental initiatives that do have the potential to make transformative impacts on our discipline and should be included in our program, as…

High Energy Physics - Phenomenology · Physics 2013-05-24 Sheldon Lee Glashow

An essential companion to the development and advancement of the field of Particle Physics is a strong program in physics education at all levels, that can attract entry level students across the full demographic spectrum and provide them…

Physics Education · Physics 2022-09-23 Sibrand J. de Jong , Sudhir Malik , Randal Ruchti

Powerful new observational facilities will come online over the next decade, enabling a number of discovery opportunities in the "Cosmic Frontier", which targets understanding of the physics of the early universe, dark matter and dark…

This report summarizes findings of the 2013 Snowmass Community Summer Study Instrumentation Frontier's subgroup on the Intensity Frontier. This report is directed at identifying instrumentation R&D needed to support particle physics…

High Energy Physics - Experiment · Physics 2013-09-27 S. H. Kettell , R. A. Rameika , R. S. Tschirhart

The Instrumentation Frontier was set up as a part of the Snowmass 2013 Community Summer Study to examine the instrumentation R&D needed to support particle physics research over the coming decade. This report summarizes the findings of the…

Instrumentation and Detectors · Physics 2013-09-10 Ulrich Heintz , Daniela Bortoletto , Marcus Hohlmann , Thomas LeCompte , Ron Lipton , Meenakshi Narain , Andrew White

This paper provides an overview of experiments and facilities for accelerator-based dark matter searches as part of the US Community Study on the Future of Particle Physics (Snowmass 2021). Companion white papers to this paper present the…

The substantial increase in data volume and complexity expected from future experiments will require significant investment to prepare experimental algorithms. These algorithms include physics object reconstruction, calibrations, and…