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相关论文: Computing for the Energy Frontier: Snowmass Study …

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This is the report of the Snowmass 2013 Computing Frontier Working Group on Distributed Computing and Facility Infrastructures.

计算物理 · 物理学 2013-11-13 Kenneth Bloom , Richard Gerber

This is the working summary of the Accelerator Science working group of the Computing Frontier of the Snowmass meeting 2013. It summarizes the computing requirements to support accelerator technology in both Energy and Intensity Frontiers.

This document presents (off-line) computing requrements and challenges for Cosmic Frontier science, covering the areas of data management, analysis, and simulations. We invite contributions to extend the range of covered topics and to…

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…

This is the report of the Computing Frontier working group on Lattice Field Theory prepared for the proceedings of the 2013 Community Summer Study ("Snowmass"). We present the future computing needs and plans of the U.S. lattice gauge…

Computing has become a major component of all particle physics experiments and in many areas of theoretical particle physics. Progress in HEP experiment and theory will require significantly more computing, software development, storage,…

高能物理 - 实验 · 物理学 2013-11-12 Gregory Bell , Michael Ernst

This report summarizes the work of the Energy Frontier Top Quark working group of the 2013 Community Summer Study (Snowmass).

高能物理 - 唯象学 · 物理学 2013-11-11 K. Agashe , R. Erbacher , C. E. Gerber , K. Melnikov , R. Schwienhorst , A. Mitov , M. Vos , S. Wimpenny , J. Adelman , M. Baumgart , A. Garcia-Bellido , A. Loginov , A. Jung , M. Schulze , J. Shelton , N. Craig , M. Velasco , T. Golling , J. Hubisz , A. Ivanov , M. Perelstein , S. Chekanov , J. Dolen , J. Pilot , R. Pöschl , B. Tweedie , S. Alioli , B. Alvarez-Gonzalez , D. Amidei , T. Andeen , A. Arce , B. Auerbach , A. Avetisyan , M. Backovic , Y. Bai , M. Begel , S. Berge , C. Bernard , C. Bernius , S. Bhattacharya , K. Black , A. Blondel , K. Bloom , T. Bose , J. Boudreau , J. Brau , A. Broggio , G. Brooijmans , E. Brost , R. Calkins , D. Chakraborty , T. Childress , G. Choudalakis , V. Coco , J. S. Conway , C. Degrande , A. Delannoy , F. Deliot , L. Dell'Asta , E. Drueke , B. Dutta , A. Effron , K. Ellis , J. Erdmann , J. Evans , C. Feng , E. Feng , A. Ferroglia , K. Finelli , W. Flanagan , I. Fleck , A. Freitas , F. Garberson , R. Gonzalez Suarez , M. L. Graesser , N. Graf , Z. Greenwood , J. George , C. Group , A. Gurrola , G. Hammad , T. Han , Z. Han , U. Heintz , S. Hoeche , T. Horiguchi , I. Iashvili , A. Ismail , S. Jain , P. Janot , W. Johns , J. Joshi , A. Juste , T. Kamon , C. Kao , Y. Kats , A. Katz , M. Kaur , R. Kehoe , W. Keung , S. Khalil , A. Khanov , A. Kharchilava , N. Kidonakis , C. Kilic , N. Kolev , A. Kotwal , J. Kraus , D. Krohn , M. Kruse , A. Kumar , S. Lee , E. Luiggi , S. Mantry , A. Melo , D. Miller , G. Moortgat-Pick , M. Narain , N. Odell , Y. Oksuzian , M. Oreglia , A. Penin , Y. Peters , C. Pollard , S. Poss , H. B. Prosper S. Rappoccio , S. Redford , M. Reece , F. Rizatdinova , P. Roloff , R. Ruiz , M. Saleem , B. Schoenrock , C. Schwanenberger , T. Schwarz , K. Seidel , E. Shabalina , P. Sheldon , F. Simon , K. Sinha , P. Skands , P. Skubik , G. Sterman , D. Stolarski , J. Strube , J. Stupak , S. Su , M. Tesar , S. Thomas , E. Thompson , P. Tipton , E. Varnes , N. Vignaroli , J. Virzi , M. Vogel , D. Walker , K. Wang , B. Webber , J. D. Wells , S. Westhoff , D. Whiteson , M. Williams , S. Wu , U. Yang , H. Yokoya , H. Yoo , H. Zhang , N. Zhou , H. Zhu , J. Zupan

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 9, on Computing, discusses the computing…

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…

高能物理 - 实验 · 物理学 2013-11-20 Michelle Butler , Richard Mount , Mike Hildreth

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…

高能物理 - 实验 · 物理学 2013-09-27 S. H. Kettell , R. A. Rameika , R. S. Tschirhart

This report, as part of the 2021 Snowmass Process, summarizes the current status of collider physics at the Energy Frontier, the broad and exciting future prospects identified for the Energy Frontier, the challenges and needs of future…

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…

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…

The Intensity Frontier (IF) is a primary focus of the U.S.-based particle physics program. It encompasses a large spectrum of physics, including quark flavor physics, charged lepton processes, neutrinos, baryon number violation, new light…

高能物理 - 实验 · 物理学 2013-10-28 B. Rebel , M. C. Sanchez , S. Wolbers

This report describes the studies performed for the Snowmass "Top algorithms and detectors" High Energy Frontier Study Group.

高能物理 - 唯象学 · 物理学 2013-10-04 R. Calkins , S. Chekanov , J. Conway , J. Dolen , R. Erbacher , J. Pilot , R. Poschl , S. Rappoccio , Z. Sullivan , B. Tweedie

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 8, on the Instrumentation Frontier, discusses…

高能物理 - 实验 · 物理学 2014-01-24 M. Demarteau , R. Lipton , H. Nicholson , I. Shipsey , D. Akerib , A. Albayrak-Yetkin , J. Alexander , J. Anderson , M. Artuso , D. Asner , R. Ball , M. Battaglia , C. Bebek , J. Beene , Y. Benhammou , E. Bentefour , M. Bergevin , A. Bernstein , B. Bilki , E. Blucher , G. Bolla , D. Bortoletto , N. Bowden , G. Brooijmans , K. Byrum , B. Cabrera , G. Cancelo , J. Carlstrom , B. Casey , C. Chang , J. Chapman , C. H. Chen , I. Childres , D. Christian , M. Convery , W. Cooper J. Corso , J. Cumalat , P. Cushman , C. Da Via , S. Dazeley , P. Debbins , G. Deptuch , S. Dhawan , V. Di Benedetto , B. DiGiovene , Z. Djurcic , S. Dye , A. Elagin , J. Estrada , H. Evans , E. Etzion , J. Fast , C. Ferretti , P. Fisher , B. Fleming , K. Francis , P. Friedman , H. Frisch , M. Garcia-Sciveres , C. Gatto , G. Geronim , G. Gilchriese , S. Golwala , C. Grant , A. Grillo , E. Grünendahl , P. Gorham , L. Guan , G. Gutierrez , C. Haber , J. Hall , G. Haller , C. Hast , U. Heintz , T. Hemmick , D. G. Hitlin , C. Hogan , M. Hohlmann , E. Hoppe , L. Hsu , M. Huffer , K. Irwin , F. Izraelevitch , G. Jennings , M. Johnson , A. Jung , H. Kagan , C. Kenney , S. Kettell , R. Khanna , V. Khristenko , F. Krennrich , K. Kuehn , R. Kutschke , J. Learned , A. T. Lee , D. Levin , T. Liu , A. T. K. Liu , D. Lissauer , J. Love , D. Lynn , D. MacFarlane , S. Magill , S. Majewski , J. Mans , J. Maricic , P. Marleau , A. Mazzacane , D. McKinsey , J. Mehl , A. Mestvirisvilli , S. Meyer , N. Mokhov , M. Moshe , A. Mukherjee , P. Murat , S. Nahn , M. Narain , P. Nadel-Turonski , M. Newcomer , K. Nishimura , D. Nygren , E. Oberla , Y. Onel , M. Oreglia , J. Orrell , J. Paley , A. Para , S. Parker , V. Polychronakos , S. Pordes , P. Privitera , A. Prosser , M. Pyle , J. Raaf , E. Ramberg , R. Rameika , B. Rebel , J. Repond , D. Reyna , L. Ristori , R. Rivera , A. Ronzhin , R. Rusack , J. Russ , A. Ryd , H. Sadrozinski , H. Sahoo , M. C. Sanchez , C. Sanzeni , S. Schnetzer , S. Seidel , A. Seiden , I. Schmidt , A. Shenai , T. Shutt , Y. Silver , W. Smith , D. Snowden-Ifft , A. Sonnenschein , D. Southwick , L. Spiegel , M. Stanitzki , S. Striganov , D. Su , R. Sumner , R. Svoboda , M. Sweany , R. Talaga , R. Tayloe , S. Tentindo , N. Terentiev , J. Thom-Levy , C. Thorn , J. Tiffenberg , W. Trischuk , R. Tschirhart , M. Turner , D. Underwood , L. Uplegger , J. Urheim , M. Vagins , K. Van Bibber , G. Varner , R. Varner , J. Va'vra , H. Von der Lippe , R. Wagner , S. Wagner , C. Weaverdyck , H. Wenzel , A. Weinstein , M. Wetstein , A. White , R. Wigman , P. Wilson , D. Winn , P. Winter , C. Woody , L. Xia , J. Q. Xie , Z. Ye , M. F. Yeh , T. Yetkin , J. H. Yoo , J. Yu , J. M. Yu , S. Zeller , J. L. Zhang , J. J. Zhu , B. Zhou , R. Y. Zhu , B. Zitzer

Snowmass is a US long-term planning study for the high-energy community by the American Physical Society's Division of Particles and Fields. For its simulation studies, opportunistic resources are harnessed using the Open Science Grid…

高能物理 - 实验 · 物理学 2013-10-03 A. Avetisyan , S. Bhattacharya , M. Narain , S. Padhi , J. Hirschauer , T. Levshina , P. McBride , C. Sehgal , M. Slyz , M. Rynge , S. Malik , J. Stupak
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