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2018년 4월 14일 토요일

[플라즈마 물리][Plasma Physics]CH1 - Distribution Function

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Distribution function

The most detailed description of a plasma gives the location and velocity of each plasma particle as a function of time.
It is impossible to obtain such a description of a real plasma. Rather than require an exact knowledge of a system with many particles, the behavior of such a particle system can be studied statistically.
It is customary to use the distribution function to describe a plasma. The distribution function is the number of particles per unit volume in phase space. f(r,v,t)drdv represents the expected number of particles at time t in (r,v) (6D phase) space with coordinates r and r+dr and velocity v and v+dv
A gas in thermal equilibrium has particles of all velocities, and the most probable distribution of these velocities is known as the Maxwellian distribution.

Maxwellian distribution

Maxwellian distribution is nothing but a Gaussian distribution. Recall, 1D Gaussian equation is given as

f(x)=12πσe(vvμ)22σ2

where vμ is mean or expectation of the distribution (and also its median and mode), σ is the standard deviation, and σ2 is the variance.
Let us consider the mean velocity is 0; vμ=0, and thermal speed(standard deviation) is σ=KBTm. Then, by simple substitution, we get Maxwellian distribution for particles.

f(u)=m2πKBTe12mv2KBT

What is f(u)?

f would be a fractional distribution. Suppose a teacher gave a 100-point quiz to a large number N of students. ni of students got si scores. The fractional distribution would be

fi=niN

Notice that ifi=1


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