Correcting for interplanetary scattering in velocity dispersion analysis of solar energetic particles
arXiv:1504.06166 · doi:10.1088/0004-637X/806/1/114
Abstract
To understand the origin of Solar Energetic Particles (SEPs), we must study their injection time relative to other solar eruption manifestations. Traditionally the injection time is determined using the Velocity Dispersion Analysis (VDA) where a linear fit of the observed event onset times at 1 AU to the inverse velocities of SEPs is used to derive the injection time and path length of the first-arriving particles. VDA does not, however, take into account that the particles that produce a statistically observable onset at 1 AU have scattered in the interplanetary space. We use Monte Carlo test particle simulations of energetic protons to study the effect of particle scattering on the observable SEP event onset above pre-event background, and consequently on VDA results. We find that the VDA results are sensitive to the properties of the pre-event and event particle spectra as well as SEP injection and scattering parameters. In particular, a VDA-obtained path length that is close to the nominal Parker spiral length does not imply that the VDA injection time is correct. We study the delay to the observed onset caused by scattering of the particles and derive a simple estimate for the delay time by using the rate of intensity increase at the SEP onset as a parameter. We apply the correction to a magnetically well-connected SEP event of June 10 2000, and show it to improve both the path length and injection time estimates, while also increasing the error limits to better reflect the inherent uncertainties of VDA.
10 pages, 9 figures; Accepted for publication in Astrophysical Journal
References in corpus (8)
- Properties of Ground Level Enhancement Events and the Associated Solar Eruptions during Solar Cycle 23
- GeV Particle Acceleration in Solar Flares and Ground Level Enhancement (GLE) Events
- The large longitudinal spread of solar energetic particles during the January 17, 2010 solar event
- Solar Energetic Particle drifts in the Parker spiral
- Drift-induced perpendicular transport of Solar Energetic Particles
- Energetic particle cross-field propagation early in a solar event
- On the Estimation of Solar Energetic Particle Injection Timing from Onset Times near Earth
- The Diffusion Approximation vs. the Telegraph Equation for Modeling Solar Energetic Particle Transport with Adiabatic Focusing. I. Isotropic Pitch-angle Scattering
Cited by in corpus (14)
- From Sun to interplanetary space: What is the pathlength of Solar Energetic Particles?
- A Primer on Focused Solar Energetic Particle Transport: Basic physics and recent modelling results
- Statistical analysis of interplanetary magnetic field path lengths from solar energetic electron events observed by WIND
- Magnetic Field Line Random Walk and Solar Energetic Particle Path Lengths: Stochastic Theory and PSP/ISoIS Observation
- The unusual widespread solar energetic particle event on 2013 August 19. Solar origin and particle longitudinal distribution
- Solar Energetic Particle Time Series Analysis with Python
- The 26 December 2001 Solar Eruptive Event Responsible for GLE63. III. CME, Shock Waves, and Energetic Particles
- An analytical model of turbulence in Parker spiral geometry and associated magnetic field line lengths
- Shock and SEP Modeling Study for the 5 September 2022 SEP Event
- On the onset delays of solar energetic electrons and protons: Evidence for a common accelerator
- Investigation of Inverse Velocity Dispersion in a Solar Energetic Particle Event Observed by Solar Orbiter
- Evidence of Time-Dependent Diffusive Shock Acceleration in the 2022 September 5 Solar Energetic Particle Event
- CoSEE-Cat: A Comprehensive Solar Energetic Electron event Catalogue obtained from combined in situ and remote-sensing observations from Solar Orbiter -- Catalogue description and first statistical results
- Parker Solar Probe observations of solar energetic particle (SEP) events with inverse velocity arrival (IVA) features