• Corpus ID: 119085428

Strategic Plan for a Scientific Software Innovation Institute (S2I2) for High Energy Physics

  title={Strategic Plan for a Scientific Software Innovation Institute (S2I2) for High Energy Physics},
  author={Peter Elmer and Mark S. Neubauer and Michael D. Sokoloff},
  journal={arXiv: Computational Physics},
The quest to understand the fundamental building blocks of nature and their interactions is one of the oldest and most ambitious of human scientific endeavors. Facilities such as CERN's Large Hadron Collider (LHC) represent a huge step forward in this quest. The discovery of the Higgs boson, the observation of exceedingly rare decays of B mesons, and stringent constraints on many viable theories of physics beyond the Standard Model (SM) demonstrate the great scientific value of the LHC physics… 
Software Sustainability & High Energy Physics
This report discusses a virtual half-day workshop on "Software Sustainability and High Energy Physics" that aimed to bring together experts from HEP as well as those from outside to share their experiences and practices, and to articulate a vision that helps the Institute for Research and Innovation in Software for high Energy Physics (IRIS-HEP) to create a work plan to implement elements of software sustainability.
Enabling real-time multi-messenger astrophysics discoveries with deep learning
The key challenges of real-time observations of gravitational wave sources and their electromagnetic and astroparticle counterparts are reviewed, and a number of recommendations to maximize their potential for scientific discovery are made.
Deep Learning and Its Application to LHC Physics
The connections between machine learning and high-energy physics data analysis are explored, followed by an introduction to the core concepts of neural networks, examples of the key results demonstrating the power of deep learning for analysis of LHC data, and discussion of future prospects and concerns.
Open is not enough
The solutions adopted by the high-energy physics community to foster reproducible research are examples of best practices that could be embraced more widely. This first experience suggests that
Interactive tools for reproducible science
An empirical understanding of reproducible research practices and the role of supportive tools through research in HEP and across a variety of scientific fields is built and the term secondary usage forms of RDM tools is introduced.
Interactive Tools for Reproducible Science - Understanding, Supporting, and Motivating Reproducible Science Practices
This thesis paves new ways for interaction with RDM tools that support and motivate reproducible science, and advocates the unique role of HCI in supporting, motivating, and transforming reproducible research practices through the design of tools that enable effective RDM.
Dark-matter And Neutrino Computation Explored (DANCE) Community Input to Snowmass
Roberts, Amy∗ Tunnell, Christopher† von Krosigk, Belina‡ Anderson, Tyler Brodsky, Jason Buuck, Micah Cartaro, Tina Cragin, Melissa Davies, Gavin S. Diamond, Miriam Fan, Alden Higuera, Aaron Ippolito,


A Roadmap for HEP Software and Computing R&D for the 2020s
This white paper describes the R&D activities required to prepare for this software upgrade of the HL-LHC.
The Open Science Grid
The partners in the Open Science Grid Consortium have come together to build a sustainable national production Grid infrastructure in the United States that will be open to scientific collaborations.
Status Report of the DPHEP Study Group: Towards a Global Effort for Sustainable Data Preservation in High Energy Physics
An analysis of the research case for data preservation and a detailed description of the various projects at experiment, laboratory and international levels are provided and a concrete proposal for an international organisation in charge of the data management and policies in high-energy physics is provided.
Dispelling the N3 myth for the kt jet-finder
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Many physics signals presently studied at the high energy collision experiments lead to final states with jets originating from heavy flavor quarks. This report reviews the algorithms for heavy
Data and Software Preservation for Open Science (DASPOS)
  • M. Hildreth
  • Physics, Computer Science
    2014 IEEE 30th International Conference on Data Engineering Workshops
  • 2014
The goal of this project is the technical development and specification of an architecture for curating HEP data and software to the point where the repetition of a physics analysis using only the archived data, software, and analysis description is possible.
HEPData: a repository for high energy physics data
The development of the new HEPData software has been described and some of the advantages it offers over the previous platform are explained.
ALPGEN, a generator for hard multiparton processes in hadronic collisions
This paper presents a new event generator, ALPGEN, dedicated to the study of multiparton hard processes in hadronic collisions. The code performs, at the leading order in QCD and EW interactions, the