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sans/Dev/trunk/NCNR_User_Procedures/Analysis/Models/NewModels_2006/Beaucage_v40.ipf
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1 | #pragma rtGlobals=1 // Use modern global access method. |

2 | #pragma IgorVersion=6.1 |

3 | |

4 | ///////////////////////////////////////////////////// |

5 | // |

6 | // Plot's Greg Beaucage's Rg-power Law "model" of scattering |

7 | // somewhat useful for identifying length scales, but short on |

8 | // physical inerpretation of the real structure of the sample. |

9 | // |

10 | // up to 4 "levels" can be calculated |

11 | // best to start with single level, and fit a small range of |

12 | // the data, and add more levels as needed |

13 | // |

14 | // see the help file for the original references |

15 | // |

16 | Proc PlotOnelevel(num,qmin,qmax) |

17 | Variable num=256,qmin=0.001,qmax=0.7 |

18 | Prompt num "Enter number of data points for model: " |

19 | Prompt qmin "Enter minimum q-value (A^-1) for model: " |

20 | Prompt qmax "Enter maximum q-value (A^-1) for model: " |

21 | |

22 | make/o/d/n=(num) xwave_b1,ywave_b1 |

23 | xwave_b1 = alog(log(qmin) + x*((log(qmax)-log(qmin))/num)) |

24 | make/o/d coef_b1 = {1,3,21,6e-4,2,0} |

25 | make/o/t parameters_b1 = {"scale","G1 (cm-1 sr-1)","Rg1 (A)","B1 (cm-1 sr-1)","Pow1","bkg (cm-1 sr-1)"} |

26 | Edit parameters_b1,coef_b1 |

27 | |

28 | Variable/G root:g_b1 |

29 | g_b1 := OneLevel(coef_b1,ywave_b1,xwave_b1) |

30 | Display ywave_b1 vs xwave_b1 |

31 | ModifyGraph log=1,marker=29,msize=2,mode=4 |

32 | Label bottom "q (A\\S-1\\M)" |

33 | Label left "Intensity (cm\\S-1\\M)" |

34 | AutoPositionWindow/M=1/R=$(WinName(0,1)) $WinName(0,2) |

35 | |

36 | AddModelToStrings("OneLevel","coef_b1","parameters_b1","b1") |

37 | End |

38 | |

39 | Proc PlotTwoLevel(num,qmin,qmax) |

40 | Variable num=256,qmin=0.001,qmax=0.7 |

41 | Prompt num "Enter number of data points for model: " |

42 | Prompt qmin "Enter minimum q-value (A^-1) for model: " |

43 | Prompt qmax "Enter maximum q-value (A^-1) for model: " |

44 | |

45 | make/o/d/n=(num) xwave_b2,ywave_b2 |

46 | xwave_b2 = alog(log(qmin) + x*((log(qmax)-log(qmin))/num)) |

47 | make/o/d coef_b2 = {1,400,200,5e-6,4,3,21,6e-4,2,0} |

48 | make/o/t parameters_b2 = {"scale","G1 (cm-1 sr-1)","Rg1 (A)","B1 (cm-1 sr-1)","Pow1","G2 (cm-1 sr-1)","Rg2 (A)","B2 (cm-1 sr-1)","Pow2","bkg (cm-1 sr-1)"} |

49 | Edit parameters_b2,coef_b2 |

50 | |

51 | Variable/G root:g_b2 |

52 | g_b2 := TwoLevel(coef_b2,ywave_b2,xwave_b2) |

53 | Display ywave_b2 vs xwave_b2 |

54 | ModifyGraph log=1,marker=29,msize=2,mode=4 |

55 | Label bottom "q (A\\S-1\\M)" |

56 | Label left "Intensity (cm\\S-1\\M)" |

57 | AutoPositionWindow/M=1/R=$(WinName(0,1)) $WinName(0,2) |

58 | |

59 | AddModelToStrings("TwoLevel","coef_b2","parameters_b2","b2") |

60 | End |

61 | |

62 | Proc PlotThreeLevel(num,qmin,qmax) |

63 | Variable num=256,qmin=0.001,qmax=0.7 |

64 | Prompt num "Enter number of data points for model: " |

65 | Prompt qmin "Enter minimum q-value (A^-1) for model: " |

66 | Prompt qmax "Enter maximum q-value (A^-1) for model: " |

67 | |

68 | make/o/d/n=(num) xwave_b3,ywave_b3 |

69 | xwave_b3 = alog(log(qmin) + x*((log(qmax)-log(qmin))/num)) |

70 | make/o/d coef_b3 = {1,4000,600,2e-7,4,400,200,5e-6,4,3,21,6e-4,2,0} |

71 | make/o/t parameters_b3 = {"scale","G1 (cm-1 sr-1)","Rg1 (A)","B1 (cm-1 sr-1)","Pow1","G2 (cm-1 sr-1)","Rg2 (A)","B2 (cm-1 sr-1)","Pow2","G3 (cm-1 sr-1)","Rg3 (A)","B3 (cm-1 sr-1)","Pow3","bkg (cm-1)"} |

72 | Edit parameters_b3,coef_b3 |

73 | |

74 | Variable/G root:g_b3 |

75 | g_b3 := ThreeLevel(coef_b3,ywave_b3,xwave_b3) |

76 | Display ywave_b3 vs xwave_b3 |

77 | ModifyGraph log=1,marker=29,msize=2,mode=4 |

78 | Label bottom "q (A\\S-1\\M)" |

79 | Label left "Intensity (cm\\S-1\\M)" |

80 | AutoPositionWindow/M=1/R=$(WinName(0,1)) $WinName(0,2) |

81 | |

82 | AddModelToStrings("ThreeLevel","coef_b3","parameters_b3","b3") |

83 | End |

84 | |

85 | Proc PlotFourLevel(num,qmin,qmax) |

86 | Variable num=256,qmin=0.001,qmax=0.7 |

87 | Prompt num "Enter number of data points for model: " |

88 | Prompt qmin "Enter minimum q-value (A^-1) for model: " |

89 | Prompt qmax "Enter maximum q-value (A^-1) for model: " |

90 | |

91 | make/o/d/n=(num) xwave_b4,ywave_b4 |

92 | xwave_b4 = alog(log(qmin) + x*((log(qmax)-log(qmin))/num)) |

93 | make/o/d coef_b4 = {1,40000,2000,1e-8,4,4000,600,2e-7,4,400,200,5e-6,4,3,21,6e-4,2,0} |

94 | make/o/t parameters_b4 = {"scale","G1 (cm-1 sr-1)","Rg1 (A)","B1 (cm-1 sr-1)","Pow1","G2 (cm-1 sr-1)","Rg2 (A)","B2 (cm-1 sr-1)","Pow2","G3 (cm-1 sr-1)","Rg3 (A)","B3 (cm-1 sr-1)","Pow3","G4 (cm-1 sr-1)","Rg4 (A)","B4 (cm-1 sr-1)","Pow4","bkg (cm-1)"} |

95 | Edit parameters_b4,coef_b4 |

96 | |

97 | Variable/G root:g_b4 |

98 | g_b4 := FourLevel(coef_b4,ywave_b4,xwave_b4) |

99 | Display ywave_b4 vs xwave_b4 |

100 | ModifyGraph log=1,marker=29,msize=2,mode=4 |

101 | Label bottom "q (A\\S-1\\M)" |

102 | Label left "Intensity (cm\\S-1\\M)" |

103 | AutoPositionWindow/M=1/R=$(WinName(0,1)) $WinName(0,2) |

104 | |

105 | AddModelToStrings("FourLevel","coef_b4","parameters_b4","b4") |

106 | End |

107 | |

108 | /////////// macros for smeared model calculations |

109 | |

110 | // - sets up a dependency to a wrapper, not the actual SmearedModelFunction |

111 | Proc PlotSmearedOneLevel(str) |

112 | String str |

113 | Prompt str,"Pick the data folder containing the resolution you want",popup,getAList(4) |

114 | |

115 | // if any of the resolution waves are missing => abort |

116 | if(ResolutionWavesMissingDF(str)) //updated to NOT use global strings (in GaussUtils) |

117 | Abort |

118 | endif |

119 | |

120 | SetDataFolder $("root:"+str) |

121 | |

122 | // Setup parameter table for model function |

123 | Make/O/D smear_coef_b1 ={1,3,21,6e-4,2,0} |

124 | make/o/t smear_parameters_b1 = {"scale","G1 (cm-1 sr-1)","Rg1 (A)","B1 (cm-1 sr-1)","Pow1","bkg (cm-1 sr-1)"} |

125 | Edit smear_parameters_b1,smear_coef_b1 |

126 | |

127 | // output smeared intensity wave, dimensions are identical to experimental QSIG values |

128 | // make extra copy of experimental q-values for easy plotting |

129 | Duplicate/O $(str+"_q") smeared_b1,smeared_qvals |

130 | SetScale d,0,0,"1/cm",smeared_b1 |

131 | |

132 | Variable/G gs_b1=0 |

133 | gs_b1 := fSmearedOneLevel(smear_coef_b1,smeared_b1,smeared_qvals) //this wrapper fills the STRUCT |

134 | |

135 | Display smeared_b1 vs smeared_qvals |

136 | ModifyGraph log=1,marker=29,msize=2,mode=4 |

137 | Label bottom "q (A\\S-1\\M)" |

138 | Label left "Intensity (cm\\S-1\\M)" |

139 | AutoPositionWindow/M=1/R=$(WinName(0,1)) $WinName(0,2) |

140 | |

141 | SetDataFolder root: |

142 | AddModelToStrings("SmearedOneLevel","smear_coef_b1","smear_parameters_b1","b1") |

143 | End |

144 | |

145 | // - sets up a dependency to a wrapper, not the actual SmearedModelFunction |

146 | Proc PlotSmearedTwoLevel(str) |

147 | String str |

148 | Prompt str,"Pick the data folder containing the resolution you want",popup,getAList(4) |

149 | |

150 | // if any of the resolution waves are missing => abort |

151 | if(ResolutionWavesMissingDF(str)) //updated to NOT use global strings (in GaussUtils) |

152 | Abort |

153 | endif |

154 | |

155 | SetDataFolder $("root:"+str) |

156 | |

157 | // Setup parameter table for model function |

158 | Make/O/D smear_coef_b2 = {1,400,200,5e-6,4,3,21,6e-4,2,0} |

159 | make/o/t smear_parameters_b2 = {"scale","G1 (cm-1 sr-1)","Rg1 (A)","B1 (cm-1 sr-1)","Pow1","G2 (cm-1 sr-1)","Rg2 (A)","B2 (cm-1 sr-1)","Pow2","bkg (cm-1 sr-1)"} |

160 | Edit smear_parameters_b2,smear_coef_b2 |

161 | |

162 | // output smeared intensity wave, dimensions are identical to experimental QSIG values |

163 | // make extra copy of experimental q-values for easy plotting |

164 | Duplicate/O $(str+"_q") smeared_b2,smeared_qvals |

165 | SetScale d,0,0,"1/cm",smeared_b2 |

166 | |

167 | Variable/G gs_b2=0 |

168 | gs_b2 := fSmearedTwoLevel(smear_coef_b2,smeared_b2,smeared_qvals) //this wrapper fills the STRUCT |

169 | |

170 | Display smeared_b2 vs smeared_qvals |

171 | ModifyGraph log=1,marker=29,msize=2,mode=4 |

172 | Label bottom "q (A\\S-1\\M)" |

173 | Label left "Intensity (cm\\S-1\\M)" |

174 | AutoPositionWindow/M=1/R=$(WinName(0,1)) $WinName(0,2) |

175 | |

176 | SetDataFolder root: |

177 | AddModelToStrings("SmearedTwoLevel","smear_coef_b2","smear_parameters_b2","b2") |

178 | End |

179 | |

180 | // - sets up a dependency to a wrapper, not the actual SmearedModelFunction |

181 | Proc PlotSmearedThreeLevel(str) |

182 | String str |

183 | Prompt str,"Pick the data folder containing the resolution you want",popup,getAList(4) |

184 | |

185 | // if any of the resolution waves are missing => abort |

186 | if(ResolutionWavesMissingDF(str)) //updated to NOT use global strings (in GaussUtils) |

187 | Abort |

188 | endif |

189 | |

190 | SetDataFolder $("root:"+str) |

191 | |

192 | // Setup parameter table for model function |

193 | Make/O/D smear_coef_b3 = {1,4000,600,2e-7,4,400,200,5e-6,4,3,21,6e-4,2,0} |

194 | make/o/t smear_parameters_b3 = {"scale","G1 (cm-1 sr-1)","Rg1 (A)","B1 (cm-1 sr-1)","Pow1","G2 (cm-1 sr-1)","Rg2 (A)","B2 (cm-1 sr-1)","Pow2","G3 (cm-1 sr-1)","Rg3 (A)","B3 (cm-1 sr-1)","Pow3","bkg (cm-1)"} |

195 | Edit smear_parameters_b3,smear_coef_b3 |

196 | |

197 | // output smeared intensity wave, dimensions are identical to experimental QSIG values |

198 | // make extra copy of experimental q-values for easy plotting |

199 | Duplicate/O $(str+"_q") smeared_b3,smeared_qvals |

200 | SetScale d,0,0,"1/cm",smeared_b3 |

201 | |

202 | Variable/G gs_b3=0 |

203 | gs_b3 := fSmearedThreeLevel(smear_coef_b3,smeared_b3,smeared_qvals) //this wrapper fills the STRUCT |

204 | |

205 | Display smeared_b3 vs smeared_qvals |

206 | ModifyGraph log=1,marker=29,msize=2,mode=4 |

207 | Label bottom "q (A\\S-1\\M)" |

208 | Label left "Intensity (cm\\S-1\\M)" |

209 | AutoPositionWindow/M=1/R=$(WinName(0,1)) $WinName(0,2) |

210 | |

211 | SetDataFolder root: |

212 | AddModelToStrings("SmearedThreeLevel","smear_coef_b3","smear_parameters_b3","b3") |

213 | End |

214 | |

215 | // - sets up a dependency to a wrapper, not the actual SmearedModelFunction |

216 | Proc PlotSmearedFourLevel(str) |

217 | String str |

218 | Prompt str,"Pick the data folder containing the resolution you want",popup,getAList(4) |

219 | |

220 | // if any of the resolution waves are missing => abort |

221 | if(ResolutionWavesMissingDF(str)) //updated to NOT use global strings (in GaussUtils) |

222 | Abort |

223 | endif |

224 | |

225 | SetDataFolder $("root:"+str) |

226 | |

227 | // Setup parameter table for model function |

228 | Make/O/D smear_coef_b4 = {1,40000,2000,1e-8,4,4000,600,2e-7,4,400,200,5e-6,4,3,21,6e-4,2,0} |

229 | Make/o/t smear_parameters_b4 = {"scale","G1 (cm-1 sr-1)","Rg1 (A)","B1 (cm-1 sr-1)","Pow1","G2 (cm-1 sr-1)","Rg2 (A)","B2 (cm-1 sr-1)","Pow2","G3 (cm-1 sr-1)","Rg3 (A)","B3 (cm-1 sr-1)","Pow3","G4 (cm-1 sr-1)","Rg4 (A)","B4 (cm-1 sr-1)","Pow4","bkg (cm-1)"} |

230 | Edit smear_parameters_b4,smear_coef_b4 |

231 | |

232 | // output smeared intensity wave, dimensions are identical to experimental QSIG values |

233 | // make extra copy of experimental q-values for easy plotting |

234 | Duplicate/O $(str+"_q") smeared_b4,smeared_qvals |

235 | SetScale d,0,0,"1/cm",smeared_b4 |

236 | |

237 | Variable/G gs_b4=0 |

238 | gs_b4 := fSmearedFourLevel(smear_coef_b4,smeared_b4,smeared_qvals) //this wrapper fills the STRUCT |

239 | |

240 | Display smeared_b4 vs smeared_qvals |

241 | ModifyGraph log=1,marker=29,msize=2,mode=4 |

242 | Label bottom "q (A\\S-1\\M)" |

243 | Label left "Intensity (cm\\S-1\\M)" |

244 | AutoPositionWindow/M=1/R=$(WinName(0,1)) $WinName(0,2) |

245 | |

246 | SetDataFolder root: |

247 | AddModelToStrings("SmearedFourLevel","smear_coef_b4","smear_parameters_b4","b4") |

248 | End |

249 | |

250 | |

251 | |

252 | |

253 | //AAO version, uses XOP if available |

254 | // simply calls the original single point calculation with |

255 | // a wave assignment (this will behave nicely if given point ranges) |

256 | Function OneLevel(cw,yw,xw) : FitFunc |

257 | Wave cw,yw,xw |

258 | |

259 | #if exists("OneLevelX") |

260 | yw = OneLevelX(cw,xw) |

261 | #else |

262 | yw = fOneLevel(cw,xw) |

263 | #endif |

264 | return(0) |

265 | End |

266 | |

267 | //////////Function definitions |

268 | |

269 | Function fOneLevel(w,x) :FitFunc |

270 | Wave w |

271 | Variable x |

272 | |

273 | Variable ans,erf1,prec=1e-15 |

274 | Variable G1,Rg1,B1,Pow1,bkg,scale |

275 | |

276 | scale = w[0] |

277 | G1 = w[1] |

278 | Rg1 = w[2] |

279 | B1 = w[3] |

280 | Pow1 = w[4] |

281 | bkg = w[5] |

282 | |

283 | erf1 = erf( (x*Rg1/sqrt(6)) ,prec) |

284 | |

285 | ans = G1*exp(-x*x*Rg1*Rg1/3) |

286 | ans += B1*(erf1^3/x)^Pow1 |

287 | ans *= scale |

288 | ans += bkg |

289 | |

290 | Return (ans) |

291 | End |

292 | |

293 | //AAO version, uses XOP if available |

294 | // simply calls the original single point calculation with |

295 | // a wave assignment (this will behave nicely if given point ranges) |

296 | Function TwoLevel(cw,yw,xw) : FitFunc |

297 | Wave cw,yw,xw |

298 | |

299 | #if exists("TwoLevelX") |

300 | yw = TwoLevelX(cw,xw) |

301 | #else |

302 | yw = fTwoLevel(cw,xw) |

303 | #endif |

304 | return(0) |

305 | End |

306 | |

307 | Function fTwoLevel(w,x) :FitFunc |

308 | Wave w |

309 | Variable x |

310 | |

311 | Variable ans,G1,Rg1,B1,G2,Rg2,B2,Pow1,Pow2,bkg |

312 | Variable erf1,erf2,prec=1e-15,scale |

313 | |

314 | //Rsub = Rs |

315 | scale = w[0] |

316 | G1 = w[1] //equivalent to I(0) |

317 | Rg1 = w[2] |

318 | B1 = w[3] |

319 | Pow1 = w[4] |

320 | G2 = w[5] |

321 | Rg2 = w[6] |

322 | B2 = w[7] |

323 | Pow2 = w[8] |

324 | bkg = w[9] |

325 | |

326 | erf1 = erf( (x*Rg1/sqrt(6)) ,prec) |

327 | erf2 = erf( (x*Rg2/sqrt(6)) ,prec) |

328 | //Print erf1 |

329 | |

330 | ans = G1*exp(-x*x*Rg1*Rg1/3) |

331 | ans += B1*exp(-x*x*Rg2*Rg2/3)*(erf1^3/x)^Pow1 |

332 | ans += G2*exp(-x*x*Rg2*Rg2/3) |

333 | ans += B2*(erf2^3/x)^Pow2 |

334 | ans *= scale |

335 | ans += bkg |

336 | |

337 | Return(ans) |

338 | End |

339 | |

340 | //AAO version, uses XOP if available |

341 | // simply calls the original single point calculation with |

342 | // a wave assignment (this will behave nicely if given point ranges) |

343 | Function ThreeLevel(cw,yw,xw) : FitFunc |

344 | Wave cw,yw,xw |

345 | |

346 | #if exists("ThreeLevelX") |

347 | yw = ThreeLevelX(cw,xw) |

348 | #else |

349 | yw = fThreeLevel(cw,xw) |

350 | #endif |

351 | return(0) |

352 | End |

353 | |

354 | Function fThreeLevel(w,x) :FitFunc |

355 | Wave w |

356 | Variable x |

357 | |

358 | Variable ans,G1,Rg1,B1,G2,Rg2,B2,Pow1,Pow2,bkg |

359 | Variable G3,Rg3,B3,Pow3,erf3 |

360 | Variable erf1,erf2,prec=1e-15,scale |

361 | |

362 | //Rsub = Rs |

363 | scale = w[0] |

364 | G1 = w[1] //equivalent to I(0) |

365 | Rg1 = w[2] |

366 | B1 = w[3] |

367 | Pow1 = w[4] |

368 | G2 = w[5] |

369 | Rg2 = w[6] |

370 | B2 = w[7] |

371 | Pow2 = w[8] |

372 | G3 = w[9] |

373 | Rg3 = w[10] |

374 | B3 = w[11] |

375 | Pow3 = w[12] |

376 | bkg = w[13] |

377 | |

378 | erf1 = erf( (x*Rg1/sqrt(6)) ,prec) |

379 | erf2 = erf( (x*Rg2/sqrt(6)) ,prec) |

380 | erf3 = erf( (x*Rg3/sqrt(6)) ,prec) |

381 | //Print erf1 |

382 | |

383 | ans = G1*exp(-x*x*Rg1*Rg1/3) + B1*exp(-x*x*Rg2*Rg2/3)*(erf1^3/x)^Pow1 |

384 | ans += G2*exp(-x*x*Rg2*Rg2/3) + B2*exp(-x*x*Rg3*Rg3/3)*(erf2^3/x)^Pow2 |

385 | ans += G3*exp(-x*x*Rg3*Rg3/3) + B3*(erf3^3/x)^Pow3 |

386 | ans *= scale |

387 | ans += bkg |

388 | |

389 | Return(ans) |

390 | End |

391 | |

392 | //AAO version, uses XOP if available |

393 | // simply calls the original single point calculation with |

394 | // a wave assignment (this will behave nicely if given point ranges) |

395 | Function FourLevel(cw,yw,xw) : FitFunc |

396 | Wave cw,yw,xw |

397 | |

398 | #if exists("FourLevelX") |

399 | yw = FourLevelX(cw,xw) |

400 | #else |

401 | yw = fFourLevel(cw,xw) |

402 | #endif |

403 | return(0) |

404 | End |

405 | |

406 | Function fFourLevel(w,x) :FitFunc |

407 | Wave w |

408 | Variable x |

409 | |

410 | Variable ans,G1,Rg1,B1,G2,Rg2,B2,Pow1,Pow2,bkg |

411 | Variable G3,Rg3,B3,Pow3,erf3 |

412 | Variable G4,Rg4,B4,Pow4,erf4 |

413 | Variable erf1,erf2,prec=1e-15,scale |

414 | |

415 | //Rsub = Rs |

416 | scale = w[0] |

417 | G1 = w[1] //equivalent to I(0) |

418 | Rg1 = w[2] |

419 | B1 = w[3] |

420 | Pow1 = w[4] |

421 | G2 = w[5] |

422 | Rg2 = w[6] |

423 | B2 = w[7] |

424 | Pow2 = w[8] |

425 | G3 = w[9] |

426 | Rg3 = w[10] |

427 | B3 = w[11] |

428 | Pow3 = w[12] |

429 | G4 = w[13] |

430 | Rg4 = w[14] |

431 | B4 = w[15] |

432 | Pow4 = w[16] |

433 | bkg = w[17] |

434 | |

435 | erf1 = erf( (x*Rg1/sqrt(6)) ,prec) |

436 | erf2 = erf( (x*Rg2/sqrt(6)) ,prec) |

437 | erf3 = erf( (x*Rg3/sqrt(6)) ,prec) |

438 | erf4 = erf( (x*Rg4/sqrt(6)) ,prec) |

439 | |

440 | ans = G1*exp(-x*x*Rg1*Rg1/3) + B1*exp(-x*x*Rg2*Rg2/3)*(erf1^3/x)^Pow1 |

441 | ans += G2*exp(-x*x*Rg2*Rg2/3) + B2*exp(-x*x*Rg3*Rg3/3)*(erf2^3/x)^Pow2 |

442 | ans += G3*exp(-x*x*Rg3*Rg3/3) + B3*exp(-x*x*Rg4*Rg4/3)*(erf3^3/x)^Pow3 |

443 | ans += G4*exp(-x*x*Rg4*Rg4/3) + B4*(erf4^3/x)^Pow4 |

444 | ans *= scale |

445 | ans += bkg |

446 | |

447 | Return(ans) |

448 | End |

449 | |

450 | Function SmearedOneLevel(s) :FitFunc |

451 | Struct ResSmearAAOStruct &s |

452 | |

453 | // the name of your unsmeared model (AAO) is the first argument |

454 | Smear_Model_20(OneLevel,s.coefW,s.xW,s.yW,s.resW) |

455 | |

456 | return(0) |

457 | End |

458 | |

459 | |

460 | Function SmearedTwoLevel(s) :FitFunc |

461 | Struct ResSmearAAOStruct &s |

462 | |

463 | // the name of your unsmeared model (AAO) is the first argument |

464 | Smear_Model_20(TwoLevel,s.coefW,s.xW,s.yW,s.resW) |

465 | |

466 | return(0) |

467 | End |

468 | |

469 | |

470 | Function SmearedThreeLevel(s) :FitFunc |

471 | Struct ResSmearAAOStruct &s |

472 | |

473 | // the name of your unsmeared model (AAO) is the first argument |

474 | Smear_Model_20(ThreeLevel,s.coefW,s.xW,s.yW,s.resW) |

475 | |

476 | return(0) |

477 | End |

478 | |

479 | Function SmearedFourLevel(s) :FitFunc |

480 | Struct ResSmearAAOStruct &s |

481 | |

482 | // the name of your unsmeared model (AAO) is the first argument |

483 | Smear_Model_20(FourLevel,s.coefW,s.xW,s.yW,s.resW) |

484 | |

485 | return(0) |

486 | End |

487 | |

488 | //wrapper to calculate the smeared model as an AAO-Struct |

489 | // fills the struct and calls the ususal function with the STRUCT parameter |

490 | // |

491 | // used only for the dependency, not for fitting |

492 | // |

493 | Function fSmearedOneLevel(coefW,yW,xW) |

494 | Wave coefW,yW,xW |

495 | |

496 | String str = getWavesDataFolder(yW,0) |

497 | String DF="root:"+str+":" |

498 | |

499 | WAVE resW = $(DF+str+"_res") |

500 | |

501 | STRUCT ResSmearAAOStruct fs |

502 | WAVE fs.coefW = coefW |

503 | WAVE fs.yW = yW |

504 | WAVE fs.xW = xW |

505 | WAVE fs.resW = resW |

506 | |

507 | Variable err |

508 | err = SmearedOneLevel(fs) |

509 | |

510 | return (0) |

511 | End |

512 | |

513 | //wrapper to calculate the smeared model as an AAO-Struct |

514 | // fills the struct and calls the ususal function with the STRUCT parameter |

515 | // |

516 | // used only for the dependency, not for fitting |

517 | // |

518 | Function fSmearedTwoLevel(coefW,yW,xW) |

519 | Wave coefW,yW,xW |

520 | |

521 | String str = getWavesDataFolder(yW,0) |

522 | String DF="root:"+str+":" |

523 | |

524 | WAVE resW = $(DF+str+"_res") |

525 | |

526 | STRUCT ResSmearAAOStruct fs |

527 | WAVE fs.coefW = coefW |

528 | WAVE fs.yW = yW |

529 | WAVE fs.xW = xW |

530 | WAVE fs.resW = resW |

531 | |

532 | Variable err |

533 | err = SmearedTwoLevel(fs) |

534 | |

535 | return (0) |

536 | End |

537 | |

538 | //wrapper to calculate the smeared model as an AAO-Struct |

539 | // fills the struct and calls the ususal function with the STRUCT parameter |

540 | // |

541 | // used only for the dependency, not for fitting |

542 | // |

543 | Function fSmearedThreeLevel(coefW,yW,xW) |

544 | Wave coefW,yW,xW |

545 | |

546 | String str = getWavesDataFolder(yW,0) |

547 | String DF="root:"+str+":" |

548 | |

549 | WAVE resW = $(DF+str+"_res") |

550 | |

551 | STRUCT ResSmearAAOStruct fs |

552 | WAVE fs.coefW = coefW |

553 | WAVE fs.yW = yW |

554 | WAVE fs.xW = xW |

555 | WAVE fs.resW = resW |

556 | |

557 | Variable err |

558 | err = SmearedThreeLevel(fs) |

559 | |

560 | return (0) |

561 | End |

562 | |

563 | //wrapper to calculate the smeared model as an AAO-Struct |

564 | // fills the struct and calls the ususal function with the STRUCT parameter |

565 | // |

566 | // used only for the dependency, not for fitting |

567 | // |

568 | Function fSmearedFourLevel(coefW,yW,xW) |

569 | Wave coefW,yW,xW |

570 | |

571 | String str = getWavesDataFolder(yW,0) |

572 | String DF="root:"+str+":" |

573 | |

574 | WAVE resW = $(DF+str+"_res") |

575 | |

576 | STRUCT ResSmearAAOStruct fs |

577 | WAVE fs.coefW = coefW |

578 | WAVE fs.yW = yW |

579 | WAVE fs.xW = xW |

580 | WAVE fs.resW = resW |

581 | |

582 | Variable err |

583 | err = SmearedFourLevel(fs) |

584 | |

585 | return (0) |

586 | End |

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