Why modeling and simulation?

In order to obtain a "truth" (i.e. what the universe does), one can use measurements (experiments) or theoretical modeling, in which one approximates a physical system using mathematical description. While some theory frameworks can directly derive an analytic (exact) solution , the majority must rely on computer simulations to derive such solutions. This is often the case to solve a real-life problem as the problems get more and more nonlinear and complex. Hence, computer simulation is often the only tool to obtain a mathematical "solution". In PDML, we use theoretical models and computer simulation in order to understand complex plasma physics phenomena. As can be seen from Figure 1, strong collaborations between experimentalists, theoretists, and computational modellers are essential to advancing our understanding of a physical problem.

Figure 1: Relation between measurements, theory, and computer simulations |

What is plasma?

Plasma is an ionized gas and is often referred to as the 4th state of matter. The characteristics vary depending on the plasma parameters such as gas pressure, plasma density, and electron temperature. Figure 2 shows the variety of plasmas observed in the universe. Debye length, λ

_{D}, is the length scale associated with Coulomb shielding of the plasma and the Debye number is a parameter given by the average number of electrons in a Debye sphere, N

_{D}= (4/3) π λ

_{D}

^{3}n, where n is the number density. For N

_{D}much larger than 1, collective electrostatic interactions from all other particles in the Debye sphere dominate over binary collisions (weakly coupled plasma) whereas N

_{D}smaller than 1 is strongly coupled plasma.

Figure 2: Variety of plasmas, characterized by electron density and temperature. |