(************** Content-type: application/mathematica ************** Mathematica-Compatible Notebook This notebook can be used with any Mathematica-compatible application, such as Mathematica, MathReader or Publicon. The data for the notebook starts with the line containing stars above. To get the notebook into a Mathematica-compatible application, do one of the following: * Save the data starting with the line of stars above into a file with a name ending in .nb, then open the file inside the application; * Copy the data starting with the line of stars above to the clipboard, then use the Paste menu command inside the application. Data for notebooks contains only printable 7-bit ASCII and can be sent directly in email or through ftp in text mode. Newlines can be CR, LF or CRLF (Unix, Macintosh or MS-DOS style). 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For more information on notebooks and Mathematica-compatible applications, contact Wolfram Research: web: http://www.wolfram.com email: info@wolfram.com phone: +1-217-398-0700 (U.S.) Notebook reader applications are available free of charge from Wolfram Research. *******************************************************************) (*CacheID: 232*) (*NotebookFileLineBreakTest NotebookFileLineBreakTest*) (*NotebookOptionsPosition[ 52198, 2228]*) (*NotebookOutlinePosition[ 52960, 2254]*) (* CellTagsIndexPosition[ 52916, 2250]*) (*WindowFrame->Normal*) Notebook[{ Cell["A simplified model of ionization in abnormal glow discharges", \ "Subtitle"], Cell["Setup notebook enviroment ", "SmallText", PageWidth->Infinity], Cell[BoxData[ \(\(a = 1;\)\)], "Input"], Cell["ClearAll[\"Global`*\"]; ", "Input"], Cell["Remove[\"Global`*\"]; ", "Input"], Cell["startclock = SessionTime[];", "Input", PageWidth->Infinity], Cell["Off[General::spell]", "Input", PageWidth->Infinity], Cell["Off[General::spell1]", "Input", PageWidth->Infinity], Cell[BoxData[ \(Needs["\"]\)], "Input"], Cell["<< Graphics`Graphics`", "Input", PageWidth->Infinity, FontFamily->"Times New Roman", FontSize->12, FontWeight->"Bold", FontColor->GrayLevel[0], Background->GrayLevel[1]], Cell[CellGroupData[{ Cell[BoxData[ \(now\ = \ StringForm["\<``/``/`` ``:``:``\>", \(Date[]\)[\([2]\)], \ \(Date[]\)[\([3]\)], \(Date[]\)[\([1]\)], \(Date[]\)[\([4]\)], \ \(Date[]\)[\([5]\)], \(Date[]\)[\([6]\)]]\)], "Input"], Cell[BoxData[ InterpretationBox["\<\"\\!\\(9\\)/\\!\\(3\\)/\\!\\(2002\\) \ \\!\\(23\\):\\!\\(35\\):\\!\\(38\\)\"\>", StringForm[ "``/``/`` ``:``:``", 9, 3, 2002, 23, 35, 38], Editable->False]], "Output"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ \(SetDirectory["\"]\)], "Input"], Cell[BoxData[ \("c:\\Mathbook\\Argon\\CathFallModels"\)], "Output"] }, Open ]], Cell["\<\ The objective of these notes is to outline a potential technique for \ calculating the ion production in a very low pressure abnormal cathode fall \ discharge, such as used for sputtering. The principle assumptions are: \ \>", "Subsubtitle"], Cell["\<\ 1. The current density is high enough so that the thickness of the cathode \ fall is short compared to an electron mean-free-path at an energy \ corresponding to the discharge voltage. In this limit one can neglect the \ ionization produced in the high field region of the cathode fall and consider \ the electron injected into the essentiall zero electric field region of the \ negative glow and Faraday dark space.\ \>", "Subsubtitle"], Cell["\<\ 2. The ionization by electrons could then be calculated using a version of \ the multiple scattering technique of Chantry, Phelps, and Schulz (1966). \ Here the loss to the anode is treated as a boundary condition. \ \>", "Subsubtitle"], Cell["\<\ 3) A possible alternative to 2) is to integrate over the interelectrode space \ and treat the wall loss as a kind of inelastic collision. This has the \ advantage of reducng the problem to one-dimension in energy, as in the usual \ electron Boltzmann equation.\ \>", "Subsubtitle"], Cell["\<\ 4) A potentially useful map for relating such modeling to other models is to \ plot pdc/electron mfp versus pd/electron range for constant gammai. At low \ pdc/mfp (high j/p^2) one has the electron injection models of ionization, \ while at high pdc/mfp one approaches local-field models of ionization. At \ low pd/range the ionization is inefficient and the voltage high (as desired \ for sputtering), while at high pd/range one has efficient ionization and \ lower voltages. This latter could be shown on a 3-D plot.\ \>", "Subsubtitle"], Cell["Change the following to p0 units", "Subtitle", FontColor->RGBColor[1, 0, 0]], Cell["Electron range ", "Subsubsection"], Cell["\<\ From Phelps, Jelenkovic and Pitchford (1987) the elecron range for energies \ above 200 eV is approximately:\ \>", "SmallText"], Cell[CellGroupData[{ Cell[BoxData[ \(normrange\ = \ 6.2*10^20*\(\(\((energy/400. )\)^1.56\)\(\ \)\( (*\ normrange\ in\ Torr\ cm\ for\ energy\ in\ eV*) \)\)\)], "Input"], Cell[BoxData[ \(5.4097613035168496`*^16\ energy\^1.56`\)], "Output"] }, Open ]], Cell["\<\ This range is slightly larger than calculated from the single beam model by \ Phelps et al (1987). Expressed on p0 units\ \>", "SmallText"], Cell[CellGroupData[{ Cell[BoxData[ \(normrangep0\ = \ normrange/\((3.54*10^22/100)\)\)], "Input"], Cell[BoxData[ \(0.00015281811591855507`\ energy\^1.56`\)], "Output"] }, Open ]], Cell["\<\ We need to compare this range with the exponential fall-off distance found by \ Pitchford et al from fitting their Monte Carlo calculations.\ \>", "SmallText"], Cell["Perez et al (1992) and Pitchford (private communication)", \ "Subsubsection"], Cell["\<\ Following Peres et al (1992), assume a linear increasing source term for \ pxpdc, i.e.,\ \>", "SmallText", PageWidth->Infinity, ShowSpecialCharacters->False], Cell["\<\ snop :=If[px", "Input", PageWidth->Infinity, Evaluatable->False, ShowSpecialCharacters->False], Cell["\<\ where pdc is in Torr cm, ndc in cm^-2, v in Volts, and kp in cm^-1Torr^-1 at \ 300K.\ \>", "SmallText"], Cell["kp =((a1*pdc+a2)*v+b1*pdc+b2)", "Input", PageWidth->Infinity, Evaluatable->False, ShowSpecialCharacters->False], Cell["and", "Text"], Cell[CellGroupData[{ Cell[BoxData[ \(smax\ = \ \((c1*pdc + c2*v + c3)\)*v + d1*pdc + b2\)], "Input"], Cell[BoxData[ \(b2 + d1\ pdc + v\ \((c3 + c1\ pdc + c2\ v)\)\)], "Output"] }, Open ]], Cell["\<\ From figure 3a of Perez et al (1992) for 250 V, the pdc and attenuation \ lengths read from the decreasing portion of the graphs are\ \>", "SmallText"], Cell[BoxData[ \(attenuationList\ = \ {{0.1, 0.1}, {0.175, 0.085}, {0.25, 0.07}}\)], "Input", Evaluatable->False], Cell["\<\ This shows that my idea of an attenuation dependent only on the total voltage \ is of questionable value at low energies.\ \>", "SmallText"], Cell["From Pitchford (1999) we get revised values of:", "SmallText"], Cell[BoxData[ \(snon\ := \ \(\(snop\ /\((3.22*10^16)\)\ \ \ /. \ {px\ -> nx/\((3.22*10^16)\), pdc\ -> ndc/\((3.22*10^16)\), smax\ -> smaxon*3.22*10^16, kp\ -> kon*3.22*10^16}\)\(\ \ \ \ \ \ \ \ \ \)\(//\)\(\ \ \)\(Simplify\)\(\ \ \ \ \ \ \ \)\( (*cm^2*) \)\)\)], "Input"], Cell[BoxData[ \(\(kp = \((\((a1*pdc + a2)\)*v + b1*pdc + b2)\);\)\)], "Input"], Cell[CellGroupData[{ Cell["\<\ kop0 =((a1*pdc+a2)*v+b1*pdc+b2)*p/p0 /. {pdc -> p0dc*300/273,p->p0*300/273}\ \>", "Input", PageWidth->Infinity, ShowSpecialCharacters->False], Cell[BoxData[ \(100\/91\ \((b2 + \(100\ b1\ p0dc\)\/91 + \((a2 + \(100\ a1\ p0dc\)\/91)\ \)\ v)\)\)], "Output"] }, Open ]], Cell[CellGroupData[{ Cell["\<\ smaxop0 =((c1*pdc+c2*v+c3)*v+d1*pdc+d2)*p/p0 /. {pdc -> \ p0dc*300/273,p->p0*300/273}\ \>", "Input", PageWidth->Infinity, ShowSpecialCharacters->False], Cell[BoxData[ \(100\/91\ \((d2 + \(100\ d1\ p0dc\)\/91 + v\ \((c3 + \(100\ c1\ p0dc\)\/91 + c2\ v)\))\)\)], "Output"] }, Open ]], Cell["The numerical values of the coefficients are:", "SmallText", PageWidth->Infinity, ShowSpecialCharacters->False], Cell["\<\ a1=-2.82*10^-2; a2=-1.45*10^-2; b1=39.49; b2=9.221; c1=4.99; c2=-3.4*10^-4; c3=0.087; d1=-708.72; d2=53.99;\ \>", "Input", PageWidth->Infinity, ShowSpecialCharacters->False], Cell["\<\ To compare the normalized range and the reciprocal attenuation in Torr cm as \ a function of electron energy \ \>", "SmallText"], Cell[CellGroupData[{ Cell[BoxData[ \(attenuation1\ = \ 1/kop0\ /. \ {v\ -> \ energy, p0dc\ -> 10^\(-4\)}\)], "Input"], Cell[BoxData[ \(91\/\(100\ \((\(\(9.225339560439561`\)\(\[InvisibleSpace]\)\) - \ 0.0145030989010989`\ energy)\)\)\)], "Output"] }, Open ]], Cell["\<\ Note that this attenuation distance decreases with increasing pdc at fixed \ voltage. Here we have used a very small pdc valure of 0.0001 Torr cm.\ \>", "SmallText"], Cell["\<\ The following plots show nd values in units of Toee cm versus applied voltage \ in V or electron energy in eV. The first plot is the extrapolated range \ based on Fig. 6 of Phelps, Jelenkovic and Pitchford (1987).\ \>", "Subsubtitle"], Cell[BoxData[ \(\(rangeplot\ = \ LogLogPlot[normrange/\((3.54*10^22/100)\), \ {energy, 100, 10000}, PlotStyle -> \ Thickness[0.007], PlotRange -> {{100, 10000}, { .01, 100}}, DisplayFunction -> Identity];\)\)], "Input"], Cell["\<\ From Brewer and Westhaver, J. Appl. Phys. 8, 779 (1937), Fig. 1. Assume Tg = \ 293K.\ \>", "Text"], Cell[BoxData[ \(\(negativeGlowPlot = LogLogListPlot[{{250, 1. *273/293}, {400, 2.2*273/293}, {550, 3.3*273/293}}, PlotRange -> {{100, 10000}, { .01, 100}}, PlotStyle -> {Hue[0.1], \ PointSize[0.02]}, DisplayFunction -> Identity];\)\)], "Input"], Cell["\<\ From Fig. 6 of Lehmann, Proc. Roy. Soc. (London) A115, 624 (1927)\ \>", "Text"], Cell[BoxData[ \(\(lehmannRangePlot = LogLogListPlot[{{290, 1*273/293}, {430, 2*273/293}, {630, 3.7*273/293}}, PlotRange -> {{100, 10000}, { .01, 100}}, PlotStyle -> {Hue[0.8], \ PointSize[0.02]}, DisplayFunction -> Identity];\)\)], "Input"], Cell["\<\ Range results are are also available from Vasenkov (1998) in units of \ \>", "SmallText"], Cell[BoxData[ \(\(vasenkovplot\ = \ LogLogListPlot[{{100, 0.68*1.5*10^20/\((3.54*10^22/100)\)}, {500, 3.82*1.5*10^20/\((3.54*10^22/100)\)}, {1000, 9.60*1.5*10^20/\((3.54*10^22/100)\)}, {2000, 27.07*1.5*10^20/\((3.54*10^22/100)\)}, {5000, 131.7*1.5*10^20/\((3.54*10^22/100)\)}}, PlotRange -> {{100, 10000}, { .01, 100}}, PlotStyle -> \ {PointSize[0.02], Hue[1]}, DisplayFunction -> Identity];\)\)], "Input"], Cell["\<\ This plot is from the fit to MC calculations of Pitchford et al as discussed \ above for a representative ndc value \ \>", "SmallText"], Cell[BoxData[ \(\(perezplot\ = \ LogLogPlot[attenuation1, \ {energy, 100, 400}, PlotRange -> {{100, 10000}, { .01, 100}}, PlotStyle -> {Dashing[{0.05, 0.02}], Thickness[0.007]}, DisplayFunction -> Identity];\)\)], "Input"], Cell["\<\ Here we try to estimate the extrapolated range of the electrons in figs. 3b \ and 4b of Belenguer and Pitchford (1999). The value for 1000 eV is only a \ lower limit because of the limited available data.\ \>", "SmallText"], Cell[BoxData[ \(\(belenguerPlot\ = \ LogLogListPlot[{{125, 0.05*273/300}, {500, 0.5*273/300}, {1000, 1. *273/300}}, PlotRange -> {{100, 10000}, { .01, 100}}, PlotStyle -> \ PointSize[0.02], DisplayFunction -> Identity];\)\)], "Input"], Cell["\<\ The attenuation distances are ~0.05 cm at 125(?) eV, ~0.5 at 500 V and ~1 cm \ at 1000 V and range are 1.5 at 500 eV and > 1.9 at 1000 eV.\ \>", "Text"], Cell["\<\ We need to convert the pressure units of the next four sets of data from \ Rozsa et al (1990) from mbar at 300K to Torr cm at 273K. The first set of a \ data from the lower curve of Fig. 8 gives a list of j/p^2 and pd values.\ \>", "Text"], Cell[CellGroupData[{ Cell[BoxData[ \(Take[Import["\", "\"], {5, 11}]\)], "Input"], Cell[BoxData[ \({{0.0000947167`, 0.0998641`}, {0.000262573`, 0.152912`}, {0.00047681599999999997`, 0.21406`}, {0.00106965`, 0.32086000000000003`}, {0.0022982`, 0.43752399999999997`}, {0.00476009`, 0.607683`}, {0.010069`, 0.9541069999999999`}}\)], "Output"] }, Open ]], Cell[BoxData[ \(LogLogListPlot[%]\)], "Input", Evaluatable->False], Cell[CellGroupData[{ Cell[BoxData[ \(rozsaList1a = Interpolation[ Table[\(Take[ Import["\", "\"], {5, 11}]\)[\([j]\)]*{\(1000/0.76\)/0.76, 0.76*273/300}, {j, 1, 7}], InterpolationOrder -> 1]\)], "Input"], Cell[BoxData[ TagBox[\(InterpolatingFunction[{{0.16398320637119115`, 17.43247922437673`}}, "<>"]\), False, Editable->False]], "Output"] }, Open ]], Cell["\<\ The second set of data from Fig. 6 gives a list of j/p^2 and V values.\ \>", "Text"], Cell[CellGroupData[{ Cell[BoxData[ \(Take[Import["\", "\"], {3, 13}]\)], "Input"], Cell[BoxData[ \({{0.0000948634`, 263.948`}, {0.000160758`, 276.556`}, {0.000239254`, 312.229`}, {0.000320429`, 324.104`}, {0.000484693`, 365.91`}, {0.000633528`, 390.612`}, {0.0009819140000000002`, 432.84200000000004`}, {0.00169121`, 475.182`}, {0.00198921`, 516.8180000000001`}, {0.0037765399999999997`, 605.674`}, {0.007839229999999999`, 677.448`}}\)], "Output"] }, Open ]], Cell[BoxData[ \(LogLogListPlot[%]\)], "Input", Evaluatable->False], Cell[CellGroupData[{ Cell[BoxData[ \(rozsaVoltInt = Interpolation[ Table[\(Take[ Import["\", "\"], {3, 13}]\)[\([j]\)]*{\(1000/ .76\)/ .76, 1}, {j, 1, 11}], InterpolationOrder -> 1]\)], "Input"], Cell[BoxData[ TagBox[\(InterpolatingFunction[{{0.164237188365651`, 13.572074099722991`}}, "<>"]\), False, Editable->False]], "Output"] }, Open ]], Cell[BoxData[ \(\(jopsqList1 = { .165, .25, .4, .7, 1. , 2. , 3. , 5. , 7. , 10. , 13. };\)\)], "Input"], Cell[CellGroupData[{ Cell[BoxData[ \(rozsaTable1 = Table[{rozsaVoltInt[jopsqList1[\([j]\)]], rozsaList1a[jopsqList1[\([j]\)]]}, {j, 1, Length[jopsqList1]}]\)], "Input"], Cell[BoxData[ \({{264.03230258018107`, 0.06919437623801906`}, {273.42612799227857`, 0.07992516498657029`}, {308.496096132287`, 0.0988618510134254`}, {345.454674195198`, 0.13373373086894413`}, {381.32968430812645`, 0.16060086219613584`}, {443.18595970088654`, 0.2275252584030931`}, {480.9928766442953`, 0.26545904491421596`}, {561.5007861894558`, 0.33078490622574364`}, {610.3849808624335`, 0.38600516597531814`}, {640.9976998245005`, 0.466120764014363`}, {671.6104187865675`, 0.5443206343417032`}}\)], "Output"] }, Open ]], Cell[BoxData[ \(\(rozsaPlot1\ = \ LogLogListPlot[ rozsaTable1, (*\(PlotRange -> {{100, 10000}, { .01, 100}}\)\(,\)*) PlotStyle -> {Hue[0.5], \ PointSize[0.02]}, DisplayFunction -> Identity];\)\)], "Input"], Cell["\<\ The first set of a data from the upper curve of Fig. 8 gives a list of j/p^2 \ and pd values.\ \>", "Text"], Cell[CellGroupData[{ Cell[BoxData[ \(Take[ Import["\", "\"], {13, 16}]\)], "Input"], Cell[BoxData[ \({{0.000164418`, 0.16708499999999998`}, {0.000340299`, 0.25737899999999997`}, {0.0006942459999999999`, 0.385364`}, {0.0011463600000000001`, 0.549108`}}\)], "Output"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ \(rozsaList2 = Interpolation[ Table[\(Take[ Import["\", "\"], {13, 16}]\)[\([j]\)]*{\(1000/0.76\)/0.76, 0.76*273/300}, {j, 1, 4}], InterpolationOrder -> 1]\)], "Input"], Cell[BoxData[ TagBox[\(InterpolatingFunction[{{0.2846572022160665`, 1.984695290858726`}}, "<>"]\), False, Editable->False]], "Output"] }, Open ]], Cell[BoxData[ \(\(jopsqList2 = { .29, .4, .7, 1. , 1.9};\)\)], "Input"], Cell[CellGroupData[{ Cell[BoxData[ \(rozsaTable2 = Table[{rozsaVoltInt[jopsqList2[\([j]\)]], rozsaList2[jopsqList2[\([j]\)]]}, {j, 1, Length[jopsqList2]}]\)], "Input"], Cell[BoxData[ \({{279.6217620515695`, 0.11665168400953142`}, {308.496096132287`, 0.13921042306772646`}, {345.454674195198`, 0.1940135723618982`}, {381.32968430812645`, 0.2373471215579078`}, {439.73809251990707`, 0.3675096289798838`}}\)], "Output"] }, Open ]], Cell[BoxData[ \(\(rozsaPlot2\ = \ LogLogListPlot[ rozsaTable2, (*\(PlotRange -> {{100, 10000}, { .01, 100}}\)\(,\)*) PlotStyle -> {Hue[0.7], \ PointSize[0.02]}, DisplayFunction -> Identity];\)\)], "Input"], Cell["\<\ Phelps' fit of attenuation data. Note that I had to add a dependence on p0dc \ at low energies so as to fit both Perez et al and Belenguer and Pitchford.\ \>", "Text"], Cell[CellGroupData[{ Cell[BoxData[ \(phelpsFit = \ \((energy/1000)\)^1.78*\((1 + 1/\((1 + \((p0dc/0.1)\)^2)\)^1. *\((300/ energy)\)^3.56)\)^0.5\)], "Input"], Cell[BoxData[ \(4.570881896148749`*^-6\ energy\^1.78`\ \((1 + \(6.584937644483684`*^8\ \ \((1\/energy)\)\^3.56`\)\/\((1 + 100.`\ p0dc\^2)\)\^1.`)\)\^0.5`\)], "Output"] }, Open ]], Cell[BoxData[ \(\(phelpsFitPlot2\ = \ LogLogPlot[phelpsFit\ /. \ energy -> 125, \ {p0dc, 0.01, 1. }, PlotRange -> {{0.01, 1. }, { .01, 1. }}, PlotStyle -> {{Hue[0.5], Thickness[0.007]}, {Hue[0.7], Thickness[0.007]}}, DisplayFunction -> Identity];\)\)], "Input"], Cell[BoxData[ \(\(perezPlot2\ = \ LogLogPlot[1/kop0\ /. v -> 125, \ {p0dc, 0.01, 1. }, PlotRange -> {{0.01, 1. }, { .01, 1. }}, PlotStyle -> {{Thickness[0.007]}, {Hue[0.7], Thickness[0.007]}}, DisplayFunction -> Identity];\)\)], "Input"], Cell[CellGroupData[{ 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glow; black points - Belenguer and Pitchford; black dashed curve - Perez et \ al fit to attenuation from MC calc.; black solid line - range from Phelps et \ al (1987); purple points - Lehmann range (1927); cyan and blue curves - \ Phelps' fit to attenuation length for p0dc of 0.4 and \ \>", "Text"], Cell["\<\ This shows that the range data is much larger than the \"attenuation length\" \ or fall-off distance from the source term calculations. Presumably part of \ reason the source term with the electric field falls off more rapidly than \ does the range is that the former includes significantly lower energy \ electrons formed in the high field region as well as promary electrons. This \ is particularly so when the multiplication is large. When the p0dc is large \ enough so that the local-field model is become valid the attenuation length \ becomes short compared to the cathode-fall length. Note that the range \ estimate from Fig. 3b of Belengeur and Pitchford (1999) is in rough \ agreenment with that of Vasenkov (1998). The comparison with Vasenkov \ suggests that the range values from Phelps et al (1987) are too large at the \ higher energies shown. \ \>", "Subsubtitle"], Cell["\<\ The data of Fig. 3a and 3b of Belenguer and Pitchford (1999) suggests to me \ that the ionization at large px is caused by those electrons that are \ accelerated through the applied voltage without significant energy loss. If \ so, the \"maximum\" range and the ionization rate at large px will be \ independent of pdc.\ \>", "Subsubtitle"], Cell["\<\ Pitchford (~5/10/00) points out that those ions procuced to the anode side of \ the potential minimum do not return to the cathode. This reduces the ion \ current reaching the cathode and raise the voltage required to maintain the \ discharge.\ \>", "Subsubtitle"] }, FrontEndVersion->"4.1 for Microsoft Windows", ScreenRectangle->{{0, 1024}, {0, 695}}, CellGrouping->Manual, WindowSize->{838, 537}, WindowMargins->{{0, Automatic}, {Automatic, 0}}, PrintingCopies->1, PrintingPageRange->{Automatic, Automatic}, StyleDefinitions -> "AvpStyle.nb" ] (******************************************************************* Cached data follows. If you edit this Notebook file directly, not using Mathematica, you must remove the line containing CacheID at the top of the file. 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