About me
I’m a plasma physicist who uses theory and computational simulations to study magnetospheric, heliospheric, and astrophysical systems. I have recently started as an Assistant Professor at the Institute for Astronomy at the University of Hawaiʻi, Mānoa working on understanding shocks, energetic particles, magnetic reconnection and turbulence.
I received my PhD in Plasma Physics from the University of Delaware in 2017, which focused on heliospheric magnetic reconnection and kinetic plasma turbulence. I worked as a postdoc in the Department of Astronomy and Astrophysics at the University of Chicago until 2021 studying collisionless plasma shocks.
RESEARCH INTERESTS
- Collisionless Plasma Shocks and Energetic Particle Acceleration (Earth's Bow Shock, Coronal Mass Ejections, Supernova Remenants)
- Plasma Instabilities and Particle Transport (Strahl/Halo of the Solar Wind, Cosmic Ray feedback in Galaxy Formation)
- Kinetic Plasma Turbulence (Corona, Solar Wind and Magnetosheath)
- The Role of Magnetic Reconnection in all these processes (In Turbulent Dissipation and the Downstream of Shocks)
Select Publications
Modeling the saturation of the Bell instability using Hybrid simulations (Submitted)
G. Zacharegkas, D. Caprioli, C. C. Haggerty, S. Gupta and B. Schroer Abstract: The nonresonant streaming instability (Bell instability) plays a pivotal role in the acceleration and confinement of cosmic rays (CRs); yet, the exact mechanism responsible for its...
The Importance of Heat Flux in Quasi-Parallel Collisionless Shocks (Submitted)
C.C. Haggerty, D. Caprioli, P.A. Cassak, M.H. Barbhuiya, L. Wilson III, D. Turner Abstract: Collisionless plasma shocks are a common feature of many space and astrophysical systems and are sources of high-energy particles and non thermal emission, channeling as much...
Relativistic Asymmetric Reconnection (2022)
R. Mbarek, C.C. Haggerty, L. Sironi, M.A. Shay, and D. Caprioli Abstract: We derive basic scaling equations for relativistic magnetic reconnection in the general case of asymmetric inflow conditions and obtain predictions for the outflow Lorentz factor and the...
Computational Skills
Advanced knowledge of Python, C, C++, Java and Fortran
Plasma modeling using massively parallel Particle-in-Cell, Vlasov, Hybrid and MHD codes
Simulation and observational data analysis with Python, Matlab and IDL
Collaborators
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