TEST GRAINS AS A NOVEL DIAGNOSTIC TOOL B.W. James, A.A. Samarian and W. Tsang School of Physics, University of Sydney NSW 2006, Australia

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Presentation transcript:

TEST GRAINS AS A NOVEL DIAGNOSTIC TOOL B.W. James, A.A. Samarian and W. Tsang School of Physics, University of Sydney NSW 2006, Australia ICPP Sydney 2002

What is a dusty plasma? a low temperature plasma containing small particles of diameters in nanometer and micrometer range particles acquire a net negative charge (at equilibrium floating potential) particles levitated in sheaths where electric force balances gravity particles can form liquid- and solid- like arrays (plasma or Coulomb crystal) which can undergo phase transitions

Forces on dust particle in plasma sheath E vivi rf powered electrode radius = a charge = Z d sheath boundary h eq hbhb F E, F th F g, F i ions z Figure 1: Schematic diagram of dust particle in plasma sheath

Forces on a dust particle Electric force Gravity force Ion drag force Thermophoretic force

where – a is particle radius –  is particle density – Z d e is charge on particle – m i is ion mass – n i is ion density – v i in ion velocity in sheath – T e is electron temperature – T is gas temperature – m is mass of gas atoms –  is thermal conductivity of plasma

Experimental arrangement Figure 2: Experimental chamber and image of test dust particles levitated above the electrode. The test grains are generated in the discharge (power up to 200W, pressure up to 1 torr) by electrode sputtering.

Equilibrium position of dust particle Using the force balance equation, F E + F g + F i + F th = 0 the equilibrium position has been calculated as a function of radius a (see figure 3) using following assumptions –V s ~ 60 V, linear variation of electric field in sheath –v i from sheath model –T e ~ 2 eV –R = 2 g cm -3 –dT/dz ~ 1-5 K cm -1 (varying with input power) –Z d calculated from OML theory

Equilibrium position vs. radius Figure 3: Equilibrium height of dust particles above electrode h eq, relative to height of sheath boundary h b as a function particles radius for several values of ion plasma frequency,  i = 10 6 s -1 (dashed) 5x10 6 s -1 (dotted), 10 7 s -1 (solid),

Alternative estimates of sheath width Figure 4: Electron temperature T e (points with error bars) measured using Langmuir probe; discharge emission (solid line); the dashed line shows the equilibrium position (h eq =10.8 mm) of test grains (a~350 nm). Discharge conditions: p = 90m Torr, P = 80 W.

Pressure (mTorr) h b (mm) Position of sheath edge (h b ) vs pressure at different rf-input powers – 35W – 60W – 100W Sheath width as function of pressure

Visualisation of rf sheath Sufficiently small particles cannot achieve force equilibrium in the sheath - the sheath becomes a particle-free region Particles occupy pre-sheath and positive column Provides a visualisation of the sheath-plasma boundary - see Figure 5

Figure 5: The shape of the potential well above the confining electrode in a radio-frequency (rf) discharge with a printed-circuit board electrode system (Cheung et al., 2002) was visualised using fine dust grains that were generated in the discharge. The well shape was found to depend strongly on the confining potential

Particle Driving Pad ParticleDispenser Top Ground Electrode Gas Inlet RF Supply 15MHz AC Power Pin Electrodes DC Power Side Observation Window Top Observation Window Transient motion technique where Top View Where is the resonant frequency And is the electric field gradient

Effect of hot electrons in sheath Figure 6: Square root of distance of particle from sheath edge as a function of particle radius

Particle Data Probe Data Figure 7: Potential profile measured by a Langmuir probe, and by transient motion analysis

Conclusions as particle radius decreases, equilibrium position moves closer to edge of sheath sufficiently small particles avoid sheath region, occupying pre- sheath and positive column. providing visualisation of sheath hot electrons affect equilibrium position potential and electric filed profiles determined from transient motion analysis Acknowledgements This work is supported by the Australian Research Council and the Science Foundation for Physics within the University of Sydney References A.A. Samarian and B.W. James, Phys Letters A, 287 (2001) 125 F. Cheung, A. Samarian and B. James, Physica Scripta, T98 (2002) 143-5

Particle Data Probe Data Least Mean Square Fit for Particle Data Least Mean Square Fit for Probe Data Figure 8: Radial electric field derived from results in figure 7.