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Start Over Publisher office of scientific and technical information (osti)
7,414 results

101. Astro2020 APC White Paper: Elevating the Role of Software as a Product of the Research Enterprise

Author

Erik Tollerud, Iva Laginja, Ivelina Momcheva, Vandana Desai, Derek Buzasi, Britton D. Smith, Benjamin J. Weiner, Lior Shamir, Matthew J. Turk, Molly S. Peeples, Jennifer Sobeck, Joel R. Brownstein, Jacqueline K. Faherty, Bruce Berriman, Maryam Modjaz, Gautham Narayan, André Leon Sampaio Gradvohl, Adam Ginsburg, Andrew J. Connolly, Arfon M. Smith, Heloise F. Stevance, Eric C. Bellm, Frossie Economou, Adrian M. Price-Whelan, Kelle L. Cruz, Britt Lundgren, Brian Nord, Chi-kwan Chan, Chuanfei Dong, Joseph Harrington, V. Zach Golkhou, Jeyhan S. Kartaltepe, Chad M. Schafer, Peter Teuben, Wolfgang Kerzendorf, Manodeep Sinha, Dara Norman, David R. Rodriguez, Robert J. Nemiroff, Brian Cherinka, Bruno Merín, Cameron Hummels, Brigitta Sipőcz, and T. E. Pickering

Subjects
White paper, Software, business.industry, Product (category theory), business, Manufacturing engineering
Published
2019
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113. Hybrid Storage Market Assessment: A JISEA White Paper

Author

Ericson, Sean J., primary, Rose, Eric, additional, Jayaswal, Harshit, additional, Cole, Wesley J., additional, Engel-Cox, Jill, additional, Logan, Jeffery, additional, McLaren, Joyce A., additional, Anderson, Katherine H, additional, Arent, Douglas J., additional, Glassmire, John, additional, Klawiter, Steffi, additional, and Rajasekaran, Dhiwaakar, additional

Published
2017
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118. HEP Software Foundation Community White Paper Working Group - Data Analysis and Interpretation

Author

Michael Sokoloff, Oliver Gutsche, Riccardo-Maria Bianchi, Kevin Pedro, Lukasz Kreczko, Peter Elmer, David Lange, Bodhitha Jayatilaka, JoséM. Hernández, Shawn McKee, Daniel S. Katz, Carl Vuosalo, Robert Gardner, James Letts, Jim Pivarski, Tai Sakuma, Christoph Paus, Gordon Watts, Martin Ritter, Benedikt Hegner, Frank Würthwein, Kyle Cranmer, Nuno Filipe Castro, Maria Girone, Elizabeth Sexton-Kennedy, L. A. T. Bauerdick, Brian Bockelman, and Eduardo Rodrigues

Subjects
White paper, Software, Interactivity, business.industry, Computer science, Process (engineering), Data management, Interpretation (philosophy), Instrumentation (computer programming), business, Data science, Throughput (business)
Abstract

At the heart of experimental high energy physics (HEP) is the development of facilities and instrumentation that provide sensitivity to new phenomena. Our understanding of nature at its most fundamental level is advanced through the analysis and interpretation of data from sophisticated detectors in HEP experiments. The goal of data analysis systems is to realize the maximum possible scientific potential of the data within the constraints of computing and human resources in the least time. To achieve this goal, future analysis systems should empower physicists to access the data with a high level of interactivity, reproducibility and throughput capability. As part of the HEP Software Foundation Community White Paper process, a working group on Data Analysis and Interpretation was formed to assess the challenges and opportunities in HEP data analysis and develop a roadmap for activities in this area over the next decade. In this report, the key findings and recommendations of the Data Analysis and Interpretation Working Group are presented.

Published
2018
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119. HEP Software Foundation Community White Paper Working Group - Detector Simulation

Author

Makoto Asai, Z. Marshall, Stefan Roiser, Michela Paganini, Mihaly Novak, James Chapman, Andrew Norman, M Rama, D Ruterbories, R Cenci, C Zhang, Pere Mato, Farah Hariri, Ivantchenko, Richard Mount, P Lebrun, L. F. de Oliveira, E Snider, Steven Farrell, G Lima, Sezen Sekmen, A. Dotti, Douglas Wright, S-Y Jun, B Siddi, Kevin Pedro, A. L. Lyon, X Qian, K. Genser, Andrei Gheata, J Yarba, Michael Mooney, T Junk, Sandro Christian Wenzel, R Hatcher, Mihaela Gheata, B. Viren, M Verderi, S Easo, M. H. Kirby, Robert K. Kutschke, John Apostolakis, Michael Hildreth, I Osborne, B Nachman, W. Pokorski, Riccardo-Maria Bianchi, Dmitri Konstantinov, L Fields, Alberto Ribon, H Wenzel, G. Cosmo, L Welty-Rieger, K Herner, S. Vallecorsa, Philippe Canal, J Raaf, Gloria Corti, J Mousseau, S. Banerjee, and T Yang

Subjects
Microprocessor, White paper, Software, Scope (project management), law, business.industry, Detector, Systems engineering, Software performance testing, business, Field (computer science), law.invention, Work Programme
Abstract

A working group on detector simulation was formed as part of the high-energy physics (HEP) Software Foundation's initiative to prepare a Community White Paper that describes the main software challenges and opportunities to be faced in the HEP field over the next decade. The working group met over a period of several months in order to review the current status of the Full and Fast simulation applications of HEP experiments and the improvements that will need to be made in order to meet the goals of future HEP experimental programmes. The scope of the topics covered includes the main components of a HEP simulation application, such as MC truth handling, geometry modeling, particle propagation in materials and fields, physics modeling of the interactions of particles with matter, the treatment of pileup and other backgrounds, as well as signal processing and digitisation. The resulting work programme described in this document focuses on the need to improve both the software performance and the physics of detector simulation. The goals are to increase the accuracy of the physics models and expand their applicability to future physics programmes, while achieving large factors in computing performance gains consistent with projections on available computing resources.

Published
2018
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125. HEP Software Foundation Community White Paper Working Group - Data and Software Preservation to Enable Reuse

Author

Ivo Jimenez, Sebastian Neubert, David M. South, Hildreth, Carlos Maltzahn, Robert Gardner, T. Malik, Thomas J. Hacker, Jim Pivarski, Amber Boehnlein, Daniel S. Katz, Stanley D. Smith, Mark Neubauer, Sünje Dallmeier-Tiessen, Andrii Verbytskyi, Gordon Watts, Lukas Heinrich, Elizabeth Sexton-Kennedy, Jamie Shiers, Kyle Cranmer, T. Simko, Meghan Kane, and J. Wozniak

Subjects
business.industry, Computer science, Best practice, Other Fields of Physics, Foundation (engineering), FOS: Physical sciences, Computational Physics (physics.comp-ph), Reuse, White paper, Cyberinfrastructure, Software, physics.comp-ph, State (computer science), Software engineering, business, Physics - Computational Physics
Abstract

In this chapter of the High Energy Physics Software Foundation Community Whitepaper, we discuss the current state of infrastructure, best practices, and ongoing developments in the area of data and software preservation in high energy physics. A re-framing of the motivation for preservation to enable re-use is presented. A series of research and development goals in software and other cyberinfrastructure that will aid in the enabling of reuse of particle physics analyses and production software are presented and discussed.

Published
2018
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135. Benefits Analysis of Smart Grid Projects. White paper, 2014-2016

Author

Marnay, Chris, primary, Liu, Liping, additional, Yu, JianCheng, additional, Zhang, Dong, additional, Mauzy, Josh, additional, Shaffer, Brendan, additional, Dong, XuZhu, additional, Agate, Will, additional, Vitiello, Silvia, additional, Karali, Nihan, additional, Liu, Angela Xu, additional, He, Gang, additional, Zhao, Li, additional, and Zhu, Aimee Limingming, additional

Published
2016
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142. White Paper on Nuclear Data Needs and Capabilities for Basic Science

Author

T. Kawano, F. G. Kondev, J. Batchelder, M. Smith, M. Thoennessen, I. Thompson, A. Sonzogni, E A McCutchan, and J. H. Kelley

Subjects
Physics, Structure (mathematical logic), Nuclear reaction, White paper, ComputingMethodologies_SIMULATIONANDMODELING, Research community, Nuclear engineering, Nuclear astrophysics, Nuclear data, ComputerApplications_COMPUTERSINOTHERSYSTEMS, Data science, Nuclear theory
Abstract

The Workshop on Nuclear Data Needs and Capabilities for Basic Science was held at the University of Notre Dame on 10-11 August 2016. The purpose of this targeted workshop was to assemble and prioritize the needs of the nuclear physics research community for data sets, services and capabilities in areas including nuclear structure, nuclear reactions, nuclear astrophysics, fundamental interactions, neutrino physics and nuclear theory. An overview of nuclear data needs and capabilities identified at this meeting are summarized in the present document.

Published
2017
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