Energetic Proton Propagation and Acceleration Simulated for the Bastille Day Event of 2000 July 14
Abstract
This work presents results from simulations of the 2000 July 14 ("Bastille Day") solar proton event. We used the Energetic Particle Radiation Environment Model (EPREM) and the CORona-HELiosphere (CORHEL) software suite within the SPE Threat Assessment Tool (STAT) framework to model proton acceleration to GeV energies due to the passage of a CME through the low solar corona, and we compared the model results to GOES-08 observations. The coupled simulation models particle acceleration from 1 to 20 R⊙, after which it models only particle transport. The simulation roughly reproduces the peak event fluxes and the timing and spatial location of the energetic particle event. While peak fluxes and overall variation within the first few hours of the simulation agree well with observations, the modeled CME moves beyond the inner simulation boundary after several hours. The model therefore accurately describes the acceleration processes in the low corona and resolves the sites of most rapid acceleration close to the Sun. Plots of integral flux envelopes from multiple simulated observers near Earth further improve the comparison to observations and increase potential for predicting solar particle events. Broken power-law fits to fluence spectra agree with diffusive acceleration theory over the low energy range. Over the high energy range, they demonstrate the variability in acceleration rate and mirror the interevent variability observed in solar cycle 23 ground-level enhancements. We discuss ways to improve STAT predictions, including using corrected GOES energy bins and computing fits to the seed spectrum. This paper demonstrates a predictive tool for simulating low-coronal solar energetic particle acceleration.
Additional Information
© 2021. The American Astronomical Society. Received 2020 December 14; revised 2021 January 20; accepted 2021 January 21; published 2021 March 15. This work was supported by NASA under the LWS (grant No. 80NSSC19K0067), O2R (grant No. 80NSSC20K0285), and SBIR/STTR programs, by the NSF PREEVENTS program (ICER1854790), and AFOSR (contract No. FA9550-15-C-0001). Computational resources were provided by NASA's NAS (Pleiades) and NSF's XSEDE (TACC & SDSC). Simulation output files containing the data for all streams shown in Figures 5 and 7, as well as interactive figure panels, are archived at https://doi.org/10.5281/zenodo.4321562. The authors thank the reviewer for thoughtful comments and suggestions.Attached Files
Published - Young_2021_ApJ_909_160.pdf
Accepted Version - 2012.09078.pdf
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Additional details
- Eprint ID
- 108553
- Resolver ID
- CaltechAUTHORS:20210325-100425130
- NASA
- 80NSSC19K0067
- NASA
- 80NSSC20K0285
- Small Business Innovation Research (SBIR)
- Small Business Technology Transfer (STTR)
- NSF
- ICER-1854790
- Air Force Office of Scientific Research (AFOSR)
- FA9550-15-C-0001
- Created
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2021-03-25Created from EPrint's datestamp field
- Updated
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2023-06-01Created from EPrint's last_modified field