Investigating the roles of turbulence and reconnection in generating suprathermal seed populations for SEP events

ROSES ID: NNH20ZDA001N      Selection Year: 2020      

Program Element: Focused Science Topic

Principal Investigator: Yi-Min Huang

Affiliation(s): Princeton University

Project Member(s):
Comisso, Luca Co-I Columbia University
Wang, Liang Co-I Princeton University
Hu, Junxiang Co-I University Of Alabama, Huntsville
Dong, Chuanfei Co-I Princeton University
Sironi, Lorenzo Co-I Columbia University
McComas, David Collaborator Princeton University

Summary:

Scientific Objectives

Solar energetic particles (SEPs), which have energies ranging from a few tens of keV to several GeV, pose severe hazards to astronauts and spacecraft components beyond the protection of Earths magnetic field. A fundamental goal of space weather forecasts is the capability to predict SEP events reliably.

Suprathermal particles play a crucial role as the seed population that can be further accelerated by other mechanisms to produce SEPs. However, the mechanisms that generate the suprathermal particles and ultimately determine their energy distribution remain elusive. An in-depth understanding of these mechanisms is essential for predicting SEP events and determining their energy spectrum under various circumstances.

To address this question, we propose a research project based on recent first-principles simulations performed by the proposing team. These simulations indicated that the omnipresent small-scale reconnection sites in a magnetized turbulent plasma play a crucial role in generating the seed particle population, even though the reconnection sites do not account for the majority of particle energization. Observational evidence indicates that the solar corona is turbulent. We conceive that small-scale reconnection in turbulence may be the source of the suprathermal particles that seed SEP events. The ongoing Parker Solar Probe (PSP) mission may be able to probe these small-scale reconnection sites.

The primary objective of the proposed research is to investigate the roles of turbulence and magnetic reconnection as the cause of suprathermal particles with state-of-the-art numerical simulations, theoretical analysis, and comparison with PSP observations.

Methodology

The numerical simulations will involve multiple models, including MHD, five and ten-moment multi-fluid models, test-particle simulation, and fully kinetic particle-in-cell (PIC) simulation. Among the fluid models, the five and ten-moment multi-fluid models have been demonstrated to capture essential kinetic physics beyond MHD. Fully kinetic PIC simulation resolves the smallest scales and will be employed to produce the seed population. This step provides first-principles input of the seed populations that will be injected as test particles in fluid simulations to investigate the further acceleration of SEPs under various large-scale circumstances, including solar flares, coronal mass ejections (CMEs), and CME-driven shocks. In situ measurement of SEPs from PSP will be employed to test and validate theories and numerical simulations.


Proposed Contributions to the Focused Science Team Effort

This project is fully in line with the Focused Science Topic #3  The Origin and Consequences of Suprathermal Particles that Seed Solar Energetic Particles. We propose the following investigations:
Determine the distribution of suprathermal particles. By performing PIC simulations, test particle simulations, and theoretical analysis, we will determine how the distribution of suprathermal particles depends on plasma parameters and the charge-to-mass ratio of different elements and isotopes. The distribution of each species will directly impact its relative abundance in SEPs. The prediction will be tested against in situ observations of the Parker Solar Probe during quiet periods.
Investigate the effects of suprathermal particles on SEPs under various circumstances. To test whether the physics-based suprathermal seed particles generated by turbulence can lead to the high energy and intensity of observed SEP events, we will inject the seed population into fluid simulations of solar flares and CME-driven shocks to be further accelerated, corresponding to impulsive and gradual SEP events.

Publications:

Performance Year	Reference	Investigation Type	Actions
2	L. Comisso and L. Sironi, Ion and Electron Acceleration in F... Chuanfei Dong, Liang Wang, Yi-Min Huang, Luca Comisso, Timot...	Other Investigations Other Investigations

Presentations:

Performance Year	Reference	Actions
2	Ion and Electron Acceleration in Fully Kinetic Simulations o...
2	From Turbulence to Reconnection to Particle Acceleration: Co...
2	Blinstrubas, G., "Automated System for High Rate GNSS D... Lamarche, L., “Spectra of Plasma Irregularities around Pol... Lamarche, L., “ISR theory and practice” Guest lecture in... Westerlund, C., Camera and inversion models for auroral scie... Vaggu, P., “Modeling the Effects of Density Structures pro... Zettergren, M., “Stability and structuring of mid-latitude... Gang Li (CoI), et al.: Electron Acceleration at a Shock With... "The Importance of Turbulence and Reconnection in the F... Lynch, B. J., Heliospheric Modeling of Large-scale Interplan... Lynch, B. J., Recent Progress in Numerical Modeling of Erupt... Lynch, B. J., Heliospheric Modeling of Large-scale Interplan... Lynch, B. J., Recent Progress in Numerical Modeling of Erupt... Jull A.J.T., Panyushkina I., Molnár M., Tamas Varga T., Liv... Miyake F., Hakozaki M., Kimura K., Tokanai F., Nakamura, K.,... Panyushkina I., Malyutina T., Jull AJT., Molnar M., Cherkins... Jull, A. J. T., Panyushkina I., Molnar M., Varga T., Livina ... Zhang, S-R, TIDs Associated With the Tonga Eruption: Some Un... AGU 2021: Ground magnetic field perturbation forecasting bas... COSPAR 2021: Modeling and forecasting ground geomagnetic per... Kim, H., Noh, S., Kuzichev, I., Ozturk, D., Xu, Z., Weygand,... Smith, A., Ozturk, D. S., Delamere, P., Lu, G., Kim, H. (202... (INVITED)Maruyama, N., et al (Dec, 2021), “ What can the c... Aikio, A., N. Ellahouny, G. P. Geethakumari, L. Cai, H. Vanh... Breneman, A. W., Using multipoint observations to quantify t... Adhikari, L., Zank, G. P., Zhao, L.-L., Telloni, D., Solar W... Adhikari, L., Zank, G. P., Wang, B., Zhao, L.-L., Telloni, D... Adhikari, L., Zank, G. P., Zhao, L.-L., Wang, B., Tang, B., ... Chen, Y., Small-scale Magnetic Flux Ropes via In Situ Spacec... Chen, Y., PyGS: Analysis tools for small-scale magnetic flux... le Roux, A Tempered Fractional Focused and Parker Transport ... Zhao, L.-L., Effects of Finite Frequency on Turbulence Spect... Xiaocan Li, “Exploring Particle Acceleration and Transport... Xiaocan Li, “Turbulence Properties in 3D Magnetic Reconnec... Xiaocan Li, “Modeling Particle Acceleration and Transport ... Xiaocan Li et al., “Modeling Electron Acceleration and Tra... J. T. Dahlin et al., “Decoding Three-Dimensional Reconnect... Mason, G. M., I. Roth, N. V. Nitta, R. Bučík, D. Lario, G.... GEM 2023: Global Geomagnetic Perturbation Forecasting Using ... LMAG 2023: Using Deep Learning for a Multiscale 'Sun-to...
2	Deciphering the Origin of Nonthermal Particles with First Pr...

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