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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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Data for WarpX Milestone ECP-ADSE06.FY23.1: Convergence study in 3-D of 15 to 30 consecutive multi-GeV stages.

Authors: Vay, Jean-Luc; Almgren, Ann; Bell, John; Formenti, Arianna; Garten, Marco; Gott, Kevin; Jambunathan, Revathi; +10 Authors

Data for WarpX Milestone ECP-ADSE06.FY23.1: Convergence study in 3-D of 15 to 30 consecutive multi-GeV stages.

Abstract

# Artifact Description This dataset includes the inputs, outputs, job submission scripts, and data analysis scripts used to prepare the ECP WarpX Year 7 Milestone 1 report for "Convergence study in 3-D of 15 to 30 consecutive multi-GeV stages." The code versions of WarpX, AMReX, and PICSAR used are stored in the output* file for each run. Furthermore, a 3D visualization of a completed run is included. However, since the used code version included very recent enhancements that will only enter the WarpX mainline (development) branch at a later point in time via pull request, this dataset also contains the WarpX source code that was used for the runs. Features added include: https://github.com/ECP-WarpX/WarpX/pull/3734 Please see the meta-data for a link to the WarpX mainline repository/archives and documentation of WarpX. Each run directory contains the input and submission scripts, compute-job related output files, a Jupyter notebook for analysis, and an analysis directory. The latter contains a figure comparing the mean beam energy (Lorentz factor), and emittance evolution over the course of the simulation. It also contains the data in CSV format that was used to create the figures. # Acknowledgments WarpX is supported by the Exascale Computing Project (17-SC-20-SC), a collaborative effort of two U.S. Department of Energy organizations (Office of Science and the National Nuclear Security Administration) responsible for the planning and preparation of a capable exascale ecosystem, including software, applications, hardware, advanced system engineering, and early testbed platforms, in support of the nation's exascale computing imperative.

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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