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ECE507 - Plasma Physics and Applications Lecture 1 Prof. Jorge Rocca and Dr. Fernando Tomasel Department of Electrical and Computer Engineering

ECE507 - Plasma Physics and ApplicationsThe first moment of the velocity distribution is the arithmetic mean speed, mean thermal velocity, or average magnitude of the velocity: f d

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  • ECE507 - Plasma Physics and Applications

    Lecture 1

    Prof. Jorge Rocca and Dr. Fernando Tomasel

    Department of Electrical and Computer Engineering

  • ECE 507 - Lecture 1 2

    Introduction: What is a plasma?

    • A quasi-neutral collection of charged (and neutral) particleswhich exhibits collective behavior.

  • ECE 507 - Lecture 1 3

    Examples of naturally occurring plasmas:

    • (99% of the visible universe is a plasma)

    Gas Nebula

    Solar CoronaAurora Borealis

    Lightning Flames

  • ECE 507 - Lecture 1 4

    Z-pinch

    Plasma etching reactor (plasmas play important role in the manufacturing of integrated circuits)

    Laser-created plasmas

    Flat panel plasma display

    Fluorescent lamps (glow

    discharge)

    Plasma torch

    Examples of man-made plasmas:

  • ECE 507 - Lecture 1 5

    • Neutral and ionized atoms Densities: N(z) z = ion charge

    • Free Electrons Ne• Photons ρ( )

    if N(z = 0) 0 the plasma is partially ionized

    if N(z = 0) = 0 the plasma is completely ionized(no neutral atoms)

    All these particles interact with each other and with electric and magneticfields making the plasma a very complex system

    Ne

    Electrons

    N(z)

    Ions

    ρ()

    Photons

    Particles found in plasma

  • ECE 507 - Lecture 1 6

    Plasma Parameters

    • Plasma Density

    • Electron temperature

    • Ion temperature

    • Mean ion charge

    These plasma parameters determine important plasma properties

    Examples

    • Debye screening distance (distance beyond which individual charges tend to be screened by other nearby charges)

    • Electrical resistivity:

    • Plasma frequency (natural frequency at which electrons tend to oscillate)

    z

    e zN(z)N

    eT

    21

    2

    0

    e

    eD

    Ne

    kTελ

    1)( ln

    4232

    0

    212

    zΛkTπ ε

    mπ eη

    e

    e

    21

    0

    2

    e

    ep

    Neω

    Z

    Where lnΛ is the Coulomb logarithm ≈10

    z: ion charge

    iT

  • ECE 507 - Lecture 1 7

    A gas has particles of all velocities

    If a sufficiently large number of collisions occurred between these particles the most probable distribution of these velocities is known as the MaxwellDistribution

    For simplicity lets consider a gas in which the particles can move in only one direction (e.g. charged particles in a strong magnetic field).

    The one dimensional Maxwell Distribution is given by:

    (1.1)

    • f(vi)dvi is number of particles per m3 with velocity between vi and vi+dvi

    • ½ mvi2 is the kinetic energy

    • k = 1.38 10-23J/K is Boltzmann’s constant

    • The density of particles per m3 is (1.2)

    • A is a normalization constant related to density (1.3)

    /kT)mv(A )f(v ii2

    21exp

    -ii v)f(vN d

    21

    2

    π kT

    mN A

    The Concept of Temperature

  • ECE 507 - Lecture 1 8

    The width of the distribution is characterized by a parameter T we call theTemperature

    T is related to the average kinetic energy EAV

    (1.4)

    We will define the thermal (most probable) velocity as

    (1.5)

    (1.6)Substituting (1.5) in (1.1)

    (1.7)

    f(vi)

    vi0

    T1

    T2

    T2> T1

    -ii

    -iii

    av

    v) f(v

    v) ) f(vmv(E

    d

    d2

    21

    kTmvTh 2

    21

    212

    m

    kTvTh

    2

    2

    expTh

    ii

    v

    vA )f(v

    The Concept of Temperature

    Gaussian functions,

    𝜎 =𝑚

    𝑘𝑇

  • ECE 507 - Lecture 1 9

    Defining (1.8)

    (1.9)

    Substituting in 1.4 (and multiplying and dividing vi by vTh to form Y)

    (1.10)

    Integrating the numerator by parts:

    (1.11)

    Thv

    (-Y)A f(v) exp

    -

    ThAv Y Y-Y

    N

    mAvE dexp 22

    32

    1

    212

    21

    22

    122

    12

    dexp

    dexpexpdexp

    Y) Y(

    Y -Y)YY( Y Y-YY

    -

    The Concept of Temperature

  • ECE 507 - Lecture 1 10

    Summarizing

    (1.12)

    (1.13)

    kTN

    m

    kT

    kT

    mmN

    N

    mA vE Thav 2

    1

    2/3

    21

    213

    21

    2

    2

    Average kinetic energy in one dimension

    kTEav 21

    The Concept of Temperature

  • ECE 507 - Lecture 1 11

    Maxwell’s velocity distribution in three dimension can be written as

    (1.14)

    (1.15)

    The average kinetic energy is

    (1.16)

    The expression is symmetric in vx, vy, vz since the Maxwelldistribution is isotropic

    (1.17)

    (1.18)

    /kTvvv A) ,v,vf(v zyxzyx 222213 exp 3

    21

    32

    π kT

    mNA

    zyxzyx

    zyxzyxzyx

    av

    vvv /kTvvvm A

    vvv /kTvvvm vvvmAE

    dddexp

    dddexp

    2222

    13

    2222

    12222

    13

    vv / kTvvm v / kTmvA

    vv / kTvvm v /kTmv mvAE

    zyzyxx

    zyzyxxx

    avddexpdexp

    ddexpdexp3

    222

    122

    13

    222

    122

    122

    13

    Average kinetic energy

    in three dimensionskTE 23av

    The Concept of Temperature

  • ECE 507 - Lecture 1 12

    Since T is so closely relate to Eav it is common in plasma physics to give thetemperature in units of energy.

    To avoid confusion in the number of dimensions involved it is not Eav but theenergy corresponding to kT that is used to denote temperature.

    K 11,600KJ/10 1.38

    J10 1.6 J10 1.6eV 1For

    23-

    -1919 o

    o TkT

    K 11,600eV 1

    The Concept of Temperature

    By 2 eV usually we mean: kT = 2 eV → Eav = 3 eV in three dimensions

  • ECE 507 - Lecture 1 13

    Notice that to define the previous relations we assumed a Maxwellian distribution.

    If two groups of particles with different velocities are allowed to undergo a sufficientnumber of collisions, they will interchange energy and “thermalize” acquiring aMaxwellian distribution.

    v1 v2

    Mono-energetic distribution

    Collisions

    FNM

    v

    Non-Maxwellian distribution

    More collisions

    Maxwellian distribution (thermalization has occurred)

    F2

    v

    F1

    v

    The Maxwellian distribution is defined by onlyone parameter: the temperature T

    kT

    mv A )f(v ii

    2

    21

    exp

    F

    v

    Temperature is an equilibrium concept

  • ECE 507 - Lecture 1 14

    Electron, ion and atoms in the same plasma can all have different temperatures

    • The interchange of energy in collisions between particles of equal mass islarge (examples: collisions between electrons and electrons, ions and ions)

    • The e-e collision rate >> e-i collision rate

    Therefore electrons tend to be in “thermal equilibrium” with other electronsand ions with other ions, but often they are not in equilibrium with each

    other.

    Te= electron temperature

    Ti= ion temperature

    This situation requires a different temperature to define each group

    )/kTmv( A)(vf exexe2

    21exp

    ie

    ixixi

    T T with

    )/kTmv( A)(vf

    2

    21exp

    Fi

    v

    Fe

    v

    Electron, Ion and Atomic temperatures

  • ECE 507 - Lecture 1 15

    Electrons and Ions are often in Thermal Equilibrium with themselvesbut not with each other

    Examples: Glow discharges (Neon sign, He-Ne laser discharge) Te > TiTheta Pinch (Magnetically compressed plasma Ti > Te

    The electron-electron equilibration time is much shorter than the electron-ion equilibration time e-e collisions

    Te e

    ei-i collisions

    Ti

    i

    i

    Examples: A carbon laser-created plasma: Te = 150 eV, Ne = 1 x 1021, Z = 6

    ps 10 s10 1

    36 10 1

    150 10 1.98 i)-e(

    fs 30 s10 3 10 1

    150 10 1.66 e)-e(

    11-

    21

    8

    eq

    14-

    21

    4

    eq

    23

    23

    Ti Te

    ps 10 At t

    This motivates ‘two temperature plasma’ models

    Equilibration times in seconds (L. Spitzer – Physics fully ionized gases)

    sN

    Te . e) (e τ

    e

    eq

    23410661 s

    ZN

    Te . i) (e τ

    e

    eq 2

    23810981

    Thermalization

    [Te] = eV, [Ne] = cm

    -3

    Electron-electron equilibration time Electron-ion equilibration time

    Ne = Zmean Ni

  • ECE 507 - Lecture 1 16

    The figure below shows the geometrical interpretation of the speed distribution function, and also serves to illustrate the conversion from velocity coordinates (vx, vy, vz) to that of speed, v.

    E vvvm mv zyx 22221221

    zyx -

    zyx

    vvv ,v,vvf v vf dddd

    0

    vvπ d4 2

    22

    42

    exp2

    23

    vπ kT

    mv

    kTπ

    m N vf

    f(v)

    v

    Three-dimensional velocity space

    Maxwell speed distribution

    Maxwell speed distribution

  • ECE 507 - Lecture 1 17

    Maxwell speed distribution

    The zeroth moment of the speed distribution function (equal to the area under the function) is equal to the particle density:

    The first moment of the velocity distribution is the arithmetic mean speed, mean thermal velocity, or average magnitude of the velocity:

    N d f

    0

    0

    vvv

    = 1/2

    uuum

    kT

    πkT

    m

    vvkT

    mvv

    πkT

    m v vfv

    Nv

    dexp2

    42

    d42

    exp2

    d1

    2

    0

    3

    22/3

    0

    222/3

    0

    2/1

    8

    m

    kTv

  • ECE 507 - Lecture 1 18

    Maxwell speed distribution

    The second moment of the speed distribution function is related to the root mean square speed of the particles (related to the average energy):

    The most probable speed (some times called thermal velocity) is calculated by differentiating the distribution function once and setting it equal to zero:

    uuum

    kT

    πkT

    m

    vvkT

    mvv

    πkT

    m vvfv

    Nv

    rms

    dexp2

    42

    d42

    exp2

    d1

    2

    0

    4

    3/52/3

    0

    22

    2

    2/3

    0

    22

    m

    kTvrms

    32

    8

    3

    2/122 20

    2exp

    d

    d

    m

    kTv

    kT

    mvv

    vth

  • ECE 507 - Lecture 1 19

    The speed distribution can be rewritten as a function of energy using the relation between speed and energy:

    Performing similar calculations to those in previous slides, you can easily show that the most probable energy and the mean energy are given by

    21

    2

    m

    E v

    kT

    E

    kT

    E

    π

    kT

    N f(E) exp

    2 21

    Maxwell speed distribution

    Maxwell energy distribution

    2

    kT Em kT E

    2

    3