| 7984e5f7 |
1 | // |
| 2 | // Utilities used in the forward multiplcity analysis |
| 3 | // |
| 4 | // |
| 7e4038b5 |
5 | #include "AliForwardUtil.h" |
| 9d99b0dd |
6 | #include <AliAnalysisManager.h> |
| 7 | #include "AliAODForwardMult.h" |
| 8 | #include <AliLog.h> |
| 9 | #include <AliInputEventHandler.h> |
| 10 | #include <AliESDEvent.h> |
| 11 | #include <AliPhysicsSelection.h> |
| 12 | #include <AliTriggerAnalysis.h> |
| 13 | #include <AliMultiplicity.h> |
| 7e4038b5 |
14 | #include <TH2D.h> |
| 9d99b0dd |
15 | #include <TH1I.h> |
| 7f759bb7 |
16 | #include <TF1.h> |
| 17 | #include <TFitResult.h> |
| 7e4038b5 |
18 | #include <TMath.h> |
| 7f759bb7 |
19 | #include <TError.h> |
| f53fb4f6 |
20 | #include <TROOT.h> |
| 7f759bb7 |
21 | |
| 0bd4b00f |
22 | //==================================================================== |
| 23 | UShort_t |
| 24 | AliForwardUtil::ParseCollisionSystem(const char* sys) |
| 25 | { |
| 7984e5f7 |
26 | // |
| 27 | // Parse a collision system spec given in a string. Known values are |
| 28 | // |
| 0151a6c6 |
29 | // - "ppb", "p-pb", "pa", "p-a" which returns kPPb |
| 30 | // - "pp", "p-p" which returns kPP |
| 31 | // - "PbPb", "Pb-Pb", "A-A", which returns kPbPb |
| 7984e5f7 |
32 | // - Everything else gives kUnknown |
| 33 | // |
| 34 | // Parameters: |
| 35 | // sys Collision system spec |
| 36 | // |
| 37 | // Return: |
| 38 | // Collision system id |
| 39 | // |
| 0bd4b00f |
40 | TString s(sys); |
| 41 | s.ToLower(); |
| 0151a6c6 |
42 | // we do pA first to avoid pp catch on ppb string (AH) |
| 43 | if (s.Contains("p-pb") || s.Contains("ppb")) return AliForwardUtil::kPPb; |
| 44 | if (s.Contains("p-a") || s.Contains("pa")) return AliForwardUtil::kPPb; |
| 45 | if (s.Contains("p-p") || s.Contains("pp")) return AliForwardUtil::kPP; |
| 46 | if (s.Contains("pb-pb") || s.Contains("pbpb")) return AliForwardUtil::kPbPb; |
| 47 | if (s.Contains("a-a") || s.Contains("aa")) return AliForwardUtil::kPbPb; |
| 0bd4b00f |
48 | return AliForwardUtil::kUnknown; |
| 49 | } |
| 50 | //____________________________________________________________________ |
| 51 | const char* |
| 52 | AliForwardUtil::CollisionSystemString(UShort_t sys) |
| 53 | { |
| 7984e5f7 |
54 | // |
| 55 | // Get a string representation of the collision system |
| 56 | // |
| 57 | // Parameters: |
| 58 | // sys Collision system |
| 59 | // - kPP -> "pp" |
| 60 | // - kPbPb -> "PbPb" |
| 61 | // - anything else gives "unknown" |
| 62 | // |
| 63 | // Return: |
| 64 | // String representation of the collision system |
| 65 | // |
| 0bd4b00f |
66 | switch (sys) { |
| 67 | case AliForwardUtil::kPP: return "pp"; |
| 68 | case AliForwardUtil::kPbPb: return "PbPb"; |
| 0151a6c6 |
69 | case AliForwardUtil::kPPb: return "pPb"; |
| 0bd4b00f |
70 | } |
| 71 | return "unknown"; |
| 72 | } |
| 73 | //____________________________________________________________________ |
| 74 | UShort_t |
| cc83fca2 |
75 | AliForwardUtil::ParseCenterOfMassEnergy(UShort_t /* sys */, Float_t v) |
| 0bd4b00f |
76 | { |
| 7984e5f7 |
77 | // |
| 78 | // Parse the center of mass energy given as a float and return known |
| 79 | // values as a unsigned integer |
| 80 | // |
| 81 | // Parameters: |
| 82 | // sys Collision system (needed for AA) |
| 83 | // cms Center of mass energy * total charge |
| 84 | // |
| 85 | // Return: |
| 86 | // Center of mass energy per nucleon |
| 87 | // |
| 0bd4b00f |
88 | Float_t energy = v; |
| cc83fca2 |
89 | // Below no longer needed apparently |
| 90 | // if (sys == AliForwardUtil::kPbPb) energy = energy / 208 * 82; |
| 0bd4b00f |
91 | if (TMath::Abs(energy - 900.) < 10) return 900; |
| 92 | if (TMath::Abs(energy - 2400.) < 10) return 2400; |
| e58000b7 |
93 | if (TMath::Abs(energy - 2750.) < 20) return 2750; |
| 0151a6c6 |
94 | if (TMath::Abs(energy - 4400.) < 10) return 4400; |
| 0bd4b00f |
95 | if (TMath::Abs(energy - 5500.) < 40) return 5500; |
| 96 | if (TMath::Abs(energy - 7000.) < 10) return 7000; |
| 4bcdcbc1 |
97 | if (TMath::Abs(energy - 8000.) < 10) return 8000; |
| 0bd4b00f |
98 | if (TMath::Abs(energy - 10000.) < 10) return 10000; |
| 99 | if (TMath::Abs(energy - 14000.) < 10) return 14000; |
| 100 | return 0; |
| 101 | } |
| 102 | //____________________________________________________________________ |
| 103 | const char* |
| 104 | AliForwardUtil::CenterOfMassEnergyString(UShort_t cms) |
| 105 | { |
| 7984e5f7 |
106 | // |
| 107 | // Get a string representation of the center of mass energy per nuclean |
| 108 | // |
| 109 | // Parameters: |
| 110 | // cms Center of mass energy per nucleon |
| 111 | // |
| 112 | // Return: |
| 113 | // String representation of the center of mass energy per nuclean |
| 114 | // |
| 0bd4b00f |
115 | return Form("%04dGeV", cms); |
| 116 | } |
| 117 | //____________________________________________________________________ |
| 118 | Short_t |
| 119 | AliForwardUtil::ParseMagneticField(Float_t v) |
| 120 | { |
| 7984e5f7 |
121 | // |
| 122 | // Parse the magnetic field (in kG) as given by a floating point number |
| 123 | // |
| 124 | // Parameters: |
| 125 | // field Magnetic field in kG |
| 126 | // |
| 127 | // Return: |
| 128 | // Short integer value of magnetic field in kG |
| 129 | // |
| 0bd4b00f |
130 | if (TMath::Abs(v - 5.) < 1 ) return +5; |
| 131 | if (TMath::Abs(v + 5.) < 1 ) return -5; |
| 132 | if (TMath::Abs(v) < 1) return 0; |
| 133 | return 999; |
| 134 | } |
| 135 | //____________________________________________________________________ |
| 136 | const char* |
| 137 | AliForwardUtil::MagneticFieldString(Short_t f) |
| 138 | { |
| 7984e5f7 |
139 | // |
| 140 | // Get a string representation of the magnetic field |
| 141 | // |
| 142 | // Parameters: |
| 143 | // field Magnetic field in kG |
| 144 | // |
| 145 | // Return: |
| 146 | // String representation of the magnetic field |
| 147 | // |
| 0bd4b00f |
148 | return Form("%01dkG", f); |
| 149 | } |
| 6f4a5c0d |
150 | //_____________________________________________________________________ |
| 151 | Double_t AliForwardUtil::GetEtaFromStrip(UShort_t det, Char_t ring, UShort_t sec, UShort_t strip, Double_t zvtx) |
| 152 | { |
| 153 | //Calculate eta from strip with vertex (redundant with AliESDFMD::Eta but support displaced vertices) |
| 154 | |
| 155 | //Get max R of ring |
| 156 | Double_t maxR = 0; |
| 157 | Double_t minR = 0; |
| 158 | Bool_t inner = false; |
| 159 | switch (ring) { |
| 160 | case 'i': case 'I': maxR = 17.2; minR = 4.5213; inner = true; break; |
| 161 | case 'o': case 'O': maxR = 28.0; minR = 15.4; inner = false; break; |
| 162 | default: |
| 163 | return -99999; |
| 164 | } |
| 165 | |
| 166 | Double_t rad = maxR- minR; |
| 167 | Double_t nStrips = (ring == 'I' ? 512 : 256); |
| 168 | Double_t segment = rad / nStrips; |
| 169 | Double_t r = minR + segment*strip; |
| 170 | Int_t hybrid = sec / 2; |
| 171 | |
| 172 | Double_t z = 0; |
| 173 | switch (det) { |
| 174 | case 1: z = 320.266; break; |
| 175 | case 2: z = (inner ? 83.666 : 74.966); break; |
| 176 | case 3: z = (inner ? -63.066 : -74.966); break; |
| 177 | default: return -999999; |
| 178 | } |
| 179 | if ((hybrid % 2) == 0) z -= .5; |
| 180 | |
| 181 | Double_t theta = TMath::ATan2(r,z-zvtx); |
| 182 | Double_t eta = -1*TMath::Log(TMath::Tan(0.5*theta)); |
| 183 | |
| 184 | return eta; |
| 185 | } |
| 0bd4b00f |
186 | |
| 187 | |
| 7f759bb7 |
188 | //==================================================================== |
| 189 | Int_t AliForwardUtil::fgConvolutionSteps = 100; |
| 190 | Double_t AliForwardUtil::fgConvolutionNSigma = 5; |
| 191 | namespace { |
| 7984e5f7 |
192 | // |
| 193 | // The shift of the most probable value for the ROOT function TMath::Landau |
| 194 | // |
| 7f759bb7 |
195 | const Double_t mpshift = -0.22278298; |
| 7984e5f7 |
196 | // |
| 197 | // Integration normalisation |
| 198 | // |
| 7f759bb7 |
199 | const Double_t invSq2pi = 1. / TMath::Sqrt(2*TMath::Pi()); |
| 200 | |
| 7984e5f7 |
201 | // |
| 202 | // Utility function to use in TF1 defintition |
| 203 | // |
| 7f759bb7 |
204 | Double_t landauGaus1(Double_t* xp, Double_t* pp) |
| 205 | { |
| 206 | Double_t x = xp[0]; |
| c389303e |
207 | Double_t constant = pp[AliForwardUtil::ELossFitter::kC]; |
| 208 | Double_t delta = pp[AliForwardUtil::ELossFitter::kDelta]; |
| 209 | Double_t xi = pp[AliForwardUtil::ELossFitter::kXi]; |
| 210 | Double_t sigma = pp[AliForwardUtil::ELossFitter::kSigma]; |
| 1174780f |
211 | Double_t sigmaN = pp[AliForwardUtil::ELossFitter::kSigmaN]; |
| 7f759bb7 |
212 | |
| 1174780f |
213 | return constant * AliForwardUtil::LandauGaus(x, delta, xi, sigma, sigmaN); |
| 7f759bb7 |
214 | } |
| 215 | |
| 7984e5f7 |
216 | // |
| 217 | // Utility function to use in TF1 defintition |
| 218 | // |
| 7f759bb7 |
219 | Double_t landauGausN(Double_t* xp, Double_t* pp) |
| 220 | { |
| 221 | Double_t x = xp[0]; |
| c389303e |
222 | Double_t constant = pp[AliForwardUtil::ELossFitter::kC]; |
| 223 | Double_t delta = pp[AliForwardUtil::ELossFitter::kDelta]; |
| 224 | Double_t xi = pp[AliForwardUtil::ELossFitter::kXi]; |
| 225 | Double_t sigma = pp[AliForwardUtil::ELossFitter::kSigma]; |
| 1174780f |
226 | Double_t sigmaN = pp[AliForwardUtil::ELossFitter::kSigmaN]; |
| c389303e |
227 | Int_t n = Int_t(pp[AliForwardUtil::ELossFitter::kN]); |
| 228 | Double_t* a = &(pp[AliForwardUtil::ELossFitter::kA]); |
| 7f759bb7 |
229 | |
| 1174780f |
230 | return constant * AliForwardUtil::NLandauGaus(x, delta, xi, sigma, sigmaN, |
| 7f759bb7 |
231 | n, a); |
| 232 | } |
| 7984e5f7 |
233 | // |
| 234 | // Utility function to use in TF1 defintition |
| 235 | // |
| 0bd4b00f |
236 | Double_t landauGausI(Double_t* xp, Double_t* pp) |
| 237 | { |
| 238 | Double_t x = xp[0]; |
| 239 | Double_t constant = pp[AliForwardUtil::ELossFitter::kC]; |
| 240 | Double_t delta = pp[AliForwardUtil::ELossFitter::kDelta]; |
| 241 | Double_t xi = pp[AliForwardUtil::ELossFitter::kXi]; |
| 242 | Double_t sigma = pp[AliForwardUtil::ELossFitter::kSigma]; |
| 1174780f |
243 | Double_t sigmaN = pp[AliForwardUtil::ELossFitter::kSigmaN]; |
| 0bd4b00f |
244 | Int_t i = Int_t(pp[AliForwardUtil::ELossFitter::kN]); |
| 245 | |
| 1174780f |
246 | return constant * AliForwardUtil::ILandauGaus(x,delta,xi,sigma,sigmaN,i); |
| 0bd4b00f |
247 | } |
| 7f759bb7 |
248 | |
| 249 | |
| 250 | } |
| 251 | //____________________________________________________________________ |
| 252 | Double_t |
| 253 | AliForwardUtil::Landau(Double_t x, Double_t delta, Double_t xi) |
| 254 | { |
| 7984e5f7 |
255 | // |
| 256 | // Calculate the shifted Landau |
| 257 | // @f[ |
| 258 | // f'_{L}(x;\Delta,\xi) = f_L(x;\Delta+0.22278298\xi) |
| 259 | // @f] |
| 260 | // |
| 261 | // where @f$ f_{L}@f$ is the ROOT implementation of the Landau |
| 262 | // distribution (known to have @f$ \Delta_{p}=-0.22278298@f$ for |
| 263 | // @f$\Delta=0,\xi=1@f$. |
| 264 | // |
| 265 | // Parameters: |
| 266 | // x Where to evaluate @f$ f'_{L}@f$ |
| 267 | // delta Most probable value |
| 268 | // xi The 'width' of the distribution |
| 269 | // |
| 270 | // Return: |
| 271 | // @f$ f'_{L}(x;\Delta,\xi) @f$ |
| 272 | // |
| 7f759bb7 |
273 | return TMath::Landau(x, delta - xi * mpshift, xi); |
| 274 | } |
| 275 | //____________________________________________________________________ |
| 276 | Double_t |
| 277 | AliForwardUtil::LandauGaus(Double_t x, Double_t delta, Double_t xi, |
| 1174780f |
278 | Double_t sigma, Double_t sigmaN) |
| 7f759bb7 |
279 | { |
| 7984e5f7 |
280 | // |
| 281 | // Calculate the value of a Landau convolved with a Gaussian |
| 282 | // |
| 283 | // @f[ |
| 284 | // f(x;\Delta,\xi,\sigma') = \frac{1}{\sigma' \sqrt{2 \pi}} |
| 285 | // \int_{-\infty}^{+\infty} d\Delta' f'_{L}(x;\Delta',\xi) |
| 286 | // \exp{-\frac{(\Delta-\Delta')^2}{2\sigma'^2}} |
| 287 | // @f] |
| 288 | // |
| 289 | // where @f$ f'_{L}@f$ is the Landau distribution, @f$ \Delta@f$ the |
| 290 | // energy loss, @f$ \xi@f$ the width of the Landau, and |
| 291 | // @f$ \sigma'^2=\sigma^2-\sigma_n^2 @f$. Here, @f$\sigma@f$ is the |
| 292 | // variance of the Gaussian, and @f$\sigma_n@f$ is a parameter modelling |
| 293 | // noise in the detector. |
| 294 | // |
| 295 | // Note that this function uses the constants fgConvolutionSteps and |
| 296 | // fgConvolutionNSigma |
| 297 | // |
| 298 | // References: |
| 299 | // - <a href="http://dx.doi.org/10.1016/0168-583X(84)90472-5">Nucl.Instrum.Meth.B1:16</a> |
| 300 | // - <a href="http://dx.doi.org/10.1103/PhysRevA.28.615">Phys.Rev.A28:615</a> |
| 301 | // - <a href="http://root.cern.ch/root/htmldoc/tutorials/fit/langaus.C.html">ROOT implementation</a> |
| 302 | // |
| 303 | // Parameters: |
| 304 | // x where to evaluate @f$ f@f$ |
| 305 | // delta @f$ \Delta@f$ of @f$ f(x;\Delta,\xi,\sigma')@f$ |
| 306 | // xi @f$ \xi@f$ of @f$ f(x;\Delta,\xi,\sigma')@f$ |
| 307 | // sigma @f$ \sigma@f$ of @f$\sigma'^2=\sigma^2-\sigma_n^2 @f$ |
| 308 | // sigma_n @f$ \sigma_n@f$ of @f$\sigma'^2=\sigma^2-\sigma_n^2 @f$ |
| 309 | // |
| 310 | // Return: |
| 311 | // @f$ f@f$ evaluated at @f$ x@f$. |
| 312 | // |
| 7f759bb7 |
313 | Double_t deltap = delta - xi * mpshift; |
| 1174780f |
314 | Double_t sigma2 = sigmaN*sigmaN + sigma*sigma; |
| 315 | Double_t sigma1 = sigmaN == 0 ? sigma : TMath::Sqrt(sigma2); |
| 7f759bb7 |
316 | Double_t xlow = x - fgConvolutionNSigma * sigma1; |
| c389303e |
317 | Double_t xhigh = x + fgConvolutionNSigma * sigma1; |
| 7f759bb7 |
318 | Double_t step = (xhigh - xlow) / fgConvolutionSteps; |
| 319 | Double_t sum = 0; |
| 320 | |
| 321 | for (Int_t i = 0; i <= fgConvolutionSteps/2; i++) { |
| c389303e |
322 | Double_t x1 = xlow + (i - .5) * step; |
| 323 | Double_t x2 = xhigh - (i - .5) * step; |
| 7f759bb7 |
324 | |
| 325 | sum += TMath::Landau(x1, deltap, xi, kTRUE) * TMath::Gaus(x, x1, sigma1); |
| 326 | sum += TMath::Landau(x2, deltap, xi, kTRUE) * TMath::Gaus(x, x2, sigma1); |
| 327 | } |
| 328 | return step * sum * invSq2pi / sigma1; |
| 329 | } |
| 330 | |
| 0bd4b00f |
331 | //____________________________________________________________________ |
| 332 | Double_t |
| 333 | AliForwardUtil::ILandauGaus(Double_t x, Double_t delta, Double_t xi, |
| 1174780f |
334 | Double_t sigma, Double_t sigmaN, Int_t i) |
| 0bd4b00f |
335 | { |
| 7984e5f7 |
336 | // |
| 337 | // Evaluate |
| 338 | // @f[ |
| 339 | // f_i(x;\Delta,\xi,\sigma') = f(x;\Delta_i,\xi_i,\sigma_i') |
| 340 | // @f] |
| 341 | // corresponding to @f$ i@f$ particles i.e., with the substitutions |
| 342 | // @f{eqnarray*}{ |
| 343 | // \Delta \rightarrow \Delta_i &=& i(\Delta + \xi\log(i)) |
| 344 | // \xi \rightarrow \xi_i &=& i \xi |
| 345 | // \sigma \rightarrow \sigma_i &=& \sqrt{i}\sigma |
| 346 | // \sigma'^2 \rightarrow \sigma_i'^2 &=& \sigma_n^2 + \sigma_i^2 |
| 347 | // @f} |
| 348 | // |
| 349 | // Parameters: |
| 350 | // x Where to evaluate |
| 351 | // delta @f$ \Delta@f$ |
| 352 | // xi @f$ \xi@f$ |
| 353 | // sigma @f$ \sigma@f$ |
| 354 | // sigma_n @f$ \sigma_n@f$ |
| 355 | // i @f$ i @f$ |
| 356 | // |
| 357 | // Return: |
| 358 | // @f$ f_i @f$ evaluated |
| 359 | // |
| 1174780f |
360 | Double_t deltaI = (i == 1 ? delta : i * (delta + xi * TMath::Log(i))); |
| 361 | Double_t xiI = i * xi; |
| 362 | Double_t sigmaI = (i == 1 ? sigma : TMath::Sqrt(Double_t(i))*sigma); |
| 363 | if (sigmaI < 1e-10) { |
| 0bd4b00f |
364 | // Fall back to landau |
| 1174780f |
365 | return AliForwardUtil::Landau(x, deltaI, xiI); |
| 0bd4b00f |
366 | } |
| 1174780f |
367 | return AliForwardUtil::LandauGaus(x, deltaI, xiI, sigmaI, sigmaN); |
| 0bd4b00f |
368 | } |
| 369 | |
| 370 | //____________________________________________________________________ |
| 371 | Double_t |
| 372 | AliForwardUtil::IdLandauGausdPar(Double_t x, |
| 373 | UShort_t par, Double_t dPar, |
| 374 | Double_t delta, Double_t xi, |
| 1174780f |
375 | Double_t sigma, Double_t sigmaN, |
| 0bd4b00f |
376 | Int_t i) |
| 377 | { |
| 7984e5f7 |
378 | // |
| 379 | // Numerically evaluate |
| 380 | // @f[ |
| 381 | // \left.\frac{\partial f_i}{\partial p_i}\right|_{x} |
| 382 | // @f] |
| 383 | // where @f$ p_i@f$ is the @f$ i^{\mbox{th}}@f$ parameter. The mapping |
| 384 | // of the parameters is given by |
| 385 | // |
| 386 | // - 0: @f$\Delta@f$ |
| 387 | // - 1: @f$\xi@f$ |
| 388 | // - 2: @f$\sigma@f$ |
| 389 | // - 3: @f$\sigma_n@f$ |
| 390 | // |
| 391 | // This is the partial derivative with respect to the parameter of |
| 392 | // the response function corresponding to @f$ i@f$ particles i.e., |
| 393 | // with the substitutions |
| 394 | // @f[ |
| 395 | // \Delta \rightarrow \Delta_i = i(\Delta + \xi\log(i)) |
| 396 | // \xi \rightarrow \xi_i = i \xi |
| 397 | // \sigma \rightarrow \sigma_i = \sqrt{i}\sigma |
| 398 | // \sigma'^2 \rightarrow \sigma_i'^2 = \sigma_n^2 + \sigma_i^2 |
| 399 | // @f] |
| 400 | // |
| 401 | // Parameters: |
| 402 | // x Where to evaluate |
| 403 | // ipar Parameter number |
| 404 | // dp @f$ \epsilon\delta p_i@f$ for some value of @f$\epsilon@f$ |
| 405 | // delta @f$ \Delta@f$ |
| 406 | // xi @f$ \xi@f$ |
| 407 | // sigma @f$ \sigma@f$ |
| 408 | // sigma_n @f$ \sigma_n@f$ |
| 409 | // i @f$ i@f$ |
| 410 | // |
| 411 | // Return: |
| 412 | // @f$ f_i@f$ evaluated |
| 413 | // |
| 0bd4b00f |
414 | if (dPar == 0) return 0; |
| 415 | Double_t dp = dPar; |
| 416 | Double_t d2 = dPar / 2; |
| 1174780f |
417 | Double_t deltaI = i * (delta + xi * TMath::Log(i)); |
| 418 | Double_t xiI = i * xi; |
| 0bd4b00f |
419 | Double_t si = TMath::Sqrt(Double_t(i)); |
| 1174780f |
420 | Double_t sigmaI = si*sigma; |
| 0bd4b00f |
421 | Double_t y1 = 0; |
| 422 | Double_t y2 = 0; |
| 423 | Double_t y3 = 0; |
| 424 | Double_t y4 = 0; |
| 425 | switch (par) { |
| 426 | case 0: |
| 1174780f |
427 | y1 = ILandauGaus(x, deltaI+i*dp, xiI, sigmaI, sigmaN, i); |
| 428 | y2 = ILandauGaus(x, deltaI+i*d2, xiI, sigmaI, sigmaN, i); |
| 429 | y3 = ILandauGaus(x, deltaI-i*d2, xiI, sigmaI, sigmaN, i); |
| 430 | y4 = ILandauGaus(x, deltaI-i*dp, xiI, sigmaI, sigmaN, i); |
| 0bd4b00f |
431 | break; |
| 432 | case 1: |
| 1174780f |
433 | y1 = ILandauGaus(x, deltaI, xiI+i*dp, sigmaI, sigmaN, i); |
| 434 | y2 = ILandauGaus(x, deltaI, xiI+i*d2, sigmaI, sigmaN, i); |
| 435 | y3 = ILandauGaus(x, deltaI, xiI-i*d2, sigmaI, sigmaN, i); |
| 436 | y4 = ILandauGaus(x, deltaI, xiI-i*dp, sigmaI, sigmaN, i); |
| 0bd4b00f |
437 | break; |
| 438 | case 2: |
| 1174780f |
439 | y1 = ILandauGaus(x, deltaI, xiI, sigmaI+si*dp, sigmaN, i); |
| 440 | y2 = ILandauGaus(x, deltaI, xiI, sigmaI+si*d2, sigmaN, i); |
| 441 | y3 = ILandauGaus(x, deltaI, xiI, sigmaI-si*d2, sigmaN, i); |
| 442 | y4 = ILandauGaus(x, deltaI, xiI, sigmaI-si*dp, sigmaN, i); |
| 0bd4b00f |
443 | break; |
| 444 | case 3: |
| 1174780f |
445 | y1 = ILandauGaus(x, deltaI, xiI, sigmaI, sigmaN+dp, i); |
| 446 | y2 = ILandauGaus(x, deltaI, xiI, sigmaI, sigmaN+d2, i); |
| 447 | y3 = ILandauGaus(x, deltaI, xiI, sigmaI, sigmaN-d2, i); |
| 448 | y4 = ILandauGaus(x, deltaI, xiI, sigmaI, sigmaN-dp, i); |
| 0bd4b00f |
449 | break; |
| 450 | default: |
| 451 | return 0; |
| 452 | } |
| 453 | |
| 454 | Double_t d0 = y1 - y4; |
| 455 | Double_t d1 = 2 * (y2 - y3); |
| 456 | |
| 457 | Double_t g = 1/(2*dp) * (4*d1 - d0) / 3; |
| 458 | |
| 459 | return g; |
| 460 | } |
| 461 | |
| 7f759bb7 |
462 | //____________________________________________________________________ |
| 463 | Double_t |
| 464 | AliForwardUtil::NLandauGaus(Double_t x, Double_t delta, Double_t xi, |
| 1174780f |
465 | Double_t sigma, Double_t sigmaN, Int_t n, |
| fb3430ac |
466 | const Double_t* a) |
| 7f759bb7 |
467 | { |
| 7984e5f7 |
468 | // |
| 469 | // Evaluate |
| 470 | // @f[ |
| 471 | // f_N(x;\Delta,\xi,\sigma') = \sum_{i=1}^N a_i f_i(x;\Delta,\xi,\sigma'a) |
| 472 | // @f] |
| 473 | // |
| 474 | // where @f$ f(x;\Delta,\xi,\sigma')@f$ is the convolution of a |
| 475 | // Landau with a Gaussian (see LandauGaus). Note that |
| 476 | // @f$ a_1 = 1@f$, @f$\Delta_i = i(\Delta_1 + \xi\log(i))@f$, |
| 477 | // @f$\xi_i=i\xi_1@f$, and @f$\sigma_i'^2 = \sigma_n^2 + i\sigma_1^2@f$. |
| 478 | // |
| 479 | // References: |
| 480 | // - <a href="http://dx.doi.org/10.1016/0168-583X(84)90472-5">Nucl.Instrum.Meth.B1:16</a> |
| 481 | // - <a href="http://dx.doi.org/10.1103/PhysRevA.28.615">Phys.Rev.A28:615</a> |
| 482 | // - <a href="http://root.cern.ch/root/htmldoc/tutorials/fit/langaus.C.html">ROOT implementation</a> |
| 483 | // |
| 484 | // Parameters: |
| 485 | // x Where to evaluate @f$ f_N@f$ |
| 486 | // delta @f$ \Delta_1@f$ |
| 487 | // xi @f$ \xi_1@f$ |
| 488 | // sigma @f$ \sigma_1@f$ |
| 489 | // sigma_n @f$ \sigma_n@f$ |
| 490 | // n @f$ N@f$ in the sum above. |
| 491 | // a Array of size @f$ N-1@f$ of the weights @f$ a_i@f$ for |
| 492 | // @f$ i > 1@f$ |
| 493 | // |
| 494 | // Return: |
| 495 | // @f$ f_N(x;\Delta,\xi,\sigma')@f$ |
| 496 | // |
| 1174780f |
497 | Double_t result = ILandauGaus(x, delta, xi, sigma, sigmaN, 1); |
| 0bd4b00f |
498 | for (Int_t i = 2; i <= n; i++) |
| 1174780f |
499 | result += a[i-2] * AliForwardUtil::ILandauGaus(x,delta,xi,sigma,sigmaN,i); |
| 7f759bb7 |
500 | return result; |
| 501 | } |
| 0bd4b00f |
502 | namespace { |
| 503 | const Int_t kColors[] = { kRed+1, |
| 504 | kPink+3, |
| 505 | kMagenta+2, |
| 506 | kViolet+2, |
| 507 | kBlue+1, |
| 508 | kAzure+3, |
| 509 | kCyan+1, |
| 510 | kTeal+2, |
| 511 | kGreen+2, |
| 512 | kSpring+3, |
| 513 | kYellow+2, |
| 514 | kOrange+2 }; |
| 515 | } |
| 516 | |
| 517 | //____________________________________________________________________ |
| 518 | TF1* |
| 519 | AliForwardUtil::MakeNLandauGaus(Double_t c, |
| 520 | Double_t delta, Double_t xi, |
| 1174780f |
521 | Double_t sigma, Double_t sigmaN, Int_t n, |
| fb3430ac |
522 | const Double_t* a, |
| 0bd4b00f |
523 | Double_t xmin, Double_t xmax) |
| 524 | { |
| 7984e5f7 |
525 | // |
| 526 | // Generate a TF1 object of @f$ f_N@f$ |
| 527 | // |
| 528 | // Parameters: |
| 529 | // c Constant |
| 530 | // delta @f$ \Delta@f$ |
| 531 | // xi @f$ \xi_1@f$ |
| 532 | // sigma @f$ \sigma_1@f$ |
| 533 | // sigma_n @f$ \sigma_n@f$ |
| 534 | // n @f$ N@f$ - how many particles to sum to |
| 535 | // a Array of size @f$ N-1@f$ of the weights @f$ a_i@f$ for |
| 536 | // @f$ i > 1@f$ |
| 537 | // xmin Least value of range |
| 538 | // xmax Largest value of range |
| 539 | // |
| 540 | // Return: |
| 541 | // Newly allocated TF1 object |
| 542 | // |
| 0bd4b00f |
543 | Int_t npar = AliForwardUtil::ELossFitter::kN+n; |
| 544 | TF1* landaun = new TF1(Form("nlandau%d", n), &landauGausN,xmin,xmax,npar); |
| 545 | // landaun->SetLineStyle(((n-2) % 10)+2); // start at dashed |
| 546 | landaun->SetLineColor(kColors[((n-1) % 12)]); // start at red |
| 547 | landaun->SetLineWidth(2); |
| 548 | landaun->SetNpx(500); |
| 549 | landaun->SetParNames("C","#Delta_{p}","#xi", "#sigma", "#sigma_{n}", "N"); |
| 550 | |
| 551 | // Set the initial parameters from the seed fit |
| 552 | landaun->SetParameter(AliForwardUtil::ELossFitter::kC, c); |
| 553 | landaun->SetParameter(AliForwardUtil::ELossFitter::kDelta, delta); |
| 554 | landaun->SetParameter(AliForwardUtil::ELossFitter::kXi, xi); |
| 555 | landaun->SetParameter(AliForwardUtil::ELossFitter::kSigma, sigma); |
| 1174780f |
556 | landaun->SetParameter(AliForwardUtil::ELossFitter::kSigmaN, sigmaN); |
| 0bd4b00f |
557 | landaun->FixParameter(AliForwardUtil::ELossFitter::kN, n); |
| 558 | |
| 559 | // Set the range and name of the scale parameters |
| 560 | for (UShort_t i = 2; i <= n; i++) {// Take parameters from last fit |
| 561 | landaun->SetParameter(AliForwardUtil::ELossFitter::kA+i-2, a[i-2]); |
| 562 | landaun->SetParName(AliForwardUtil::ELossFitter::kA+i-2, Form("a_{%d}", i)); |
| 563 | } |
| 564 | return landaun; |
| 565 | } |
| 566 | //____________________________________________________________________ |
| 567 | TF1* |
| 568 | AliForwardUtil::MakeILandauGaus(Double_t c, |
| 569 | Double_t delta, Double_t xi, |
| 1174780f |
570 | Double_t sigma, Double_t sigmaN, Int_t i, |
| 0bd4b00f |
571 | Double_t xmin, Double_t xmax) |
| 572 | { |
| 7984e5f7 |
573 | // |
| 574 | // Generate a TF1 object of @f$ f_I@f$ |
| 575 | // |
| 576 | // Parameters: |
| 577 | // c Constant |
| 578 | // delta @f$ \Delta@f$ |
| 579 | // xi @f$ \xi_1@f$ |
| 580 | // sigma @f$ \sigma_1@f$ |
| 581 | // sigma_n @f$ \sigma_n@f$ |
| 582 | // i @f$ i@f$ - the number of particles |
| 583 | // xmin Least value of range |
| 584 | // xmax Largest value of range |
| 585 | // |
| 586 | // Return: |
| 587 | // Newly allocated TF1 object |
| 588 | // |
| 0bd4b00f |
589 | Int_t npar = AliForwardUtil::ELossFitter::kN+1; |
| 590 | TF1* landaui = new TF1(Form("ilandau%d", i), &landauGausI,xmin,xmax,npar); |
| 591 | // landaui->SetLineStyle(((i-2) % 10)+2); // start at dashed |
| 592 | landaui->SetLineColor(kColors[((i-1) % 12)]); // start at red |
| 593 | landaui->SetLineWidth(1); |
| 594 | landaui->SetNpx(500); |
| 595 | landaui->SetParNames("C","#Delta_{p}","#xi", "#sigma", "#sigma_{n}", "i"); |
| 596 | |
| 597 | // Set the initial parameters from the seed fit |
| 598 | landaui->SetParameter(AliForwardUtil::ELossFitter::kC, c); |
| 599 | landaui->SetParameter(AliForwardUtil::ELossFitter::kDelta, delta); |
| 600 | landaui->SetParameter(AliForwardUtil::ELossFitter::kXi, xi); |
| 601 | landaui->SetParameter(AliForwardUtil::ELossFitter::kSigma, sigma); |
| 1174780f |
602 | landaui->SetParameter(AliForwardUtil::ELossFitter::kSigmaN, sigmaN); |
| 0bd4b00f |
603 | landaui->FixParameter(AliForwardUtil::ELossFitter::kN, i); |
| 604 | |
| 605 | return landaui; |
| 606 | } |
| 7f759bb7 |
607 | |
| 608 | //==================================================================== |
| 609 | AliForwardUtil::ELossFitter::ELossFitter(Double_t lowCut, |
| 610 | Double_t maxRange, |
| 611 | UShort_t minusBins) |
| 612 | : fLowCut(lowCut), fMaxRange(maxRange), fMinusBins(minusBins), |
| 613 | fFitResults(0), fFunctions(0) |
| 614 | { |
| 7984e5f7 |
615 | // |
| 616 | // Constructor |
| 617 | // |
| 618 | // Parameters: |
| 619 | // lowCut Lower cut of spectrum - data below this cuts is ignored |
| 620 | // maxRange Maximum range to fit to |
| 621 | // minusBins The number of bins below maximum to use |
| 622 | // |
| 7f759bb7 |
623 | fFitResults.SetOwner(); |
| 624 | fFunctions.SetOwner(); |
| 625 | } |
| 626 | //____________________________________________________________________ |
| 627 | AliForwardUtil::ELossFitter::~ELossFitter() |
| 628 | { |
| 7984e5f7 |
629 | // |
| 630 | // Destructor |
| 631 | // |
| 632 | // |
| 7f759bb7 |
633 | fFitResults.Delete(); |
| 634 | fFunctions.Delete(); |
| 635 | } |
| 636 | //____________________________________________________________________ |
| 637 | void |
| 638 | AliForwardUtil::ELossFitter::Clear() |
| 639 | { |
| 7984e5f7 |
640 | // |
| 641 | // Clear internal arrays |
| 642 | // |
| 643 | // |
| 7f759bb7 |
644 | fFitResults.Clear(); |
| 645 | fFunctions.Clear(); |
| 646 | } |
| 647 | //____________________________________________________________________ |
| 648 | TF1* |
| 649 | AliForwardUtil::ELossFitter::Fit1Particle(TH1* dist, Double_t sigman) |
| 650 | { |
| 7984e5f7 |
651 | // |
| 652 | // Fit a 1-particle signal to the passed energy loss distribution |
| 653 | // |
| 654 | // Note that this function clears the internal arrays first |
| 655 | // |
| 656 | // Parameters: |
| 657 | // dist Data to fit the function to |
| 658 | // sigman If larger than zero, the initial guess of the |
| 659 | // detector induced noise. If zero or less, then this |
| 660 | // parameter is ignored in the fit (fixed at 0) |
| 661 | // |
| 662 | // Return: |
| 663 | // The function fitted to the data |
| 664 | // |
| 665 | |
| 7f759bb7 |
666 | // Clear the cache |
| 667 | Clear(); |
| 668 | |
| 669 | // Find the fit range |
| 670 | dist->GetXaxis()->SetRangeUser(fLowCut, fMaxRange); |
| 671 | |
| 7f759bb7 |
672 | // Get the bin with maximum |
| 673 | Int_t maxBin = dist->GetMaximumBin(); |
| 674 | Double_t maxE = dist->GetBinLowEdge(maxBin); |
| 675 | |
| 676 | // Get the low edge |
| 677 | dist->GetXaxis()->SetRangeUser(fLowCut, maxE); |
| 678 | Int_t minBin = maxBin - fMinusBins; // dist->GetMinimumBin(); |
| 679 | Double_t minE = TMath::Max(dist->GetBinCenter(minBin),fLowCut); |
| 680 | Double_t maxEE = dist->GetBinCenter(maxBin+2*fMinusBins); |
| 681 | |
| 682 | // Restore the range |
| 683 | dist->GetXaxis()->SetRangeUser(0, fMaxRange); |
| 684 | |
| 685 | // Define the function to fit |
| 0bd4b00f |
686 | TF1* landau1 = new TF1("landau1", landauGaus1, minE,maxEE,kSigmaN+1); |
| 7f759bb7 |
687 | |
| 688 | // Set initial guesses, parameter names, and limits |
| c389303e |
689 | landau1->SetParameters(1,0.5,0.07,0.1,sigman); |
| 7f759bb7 |
690 | landau1->SetParNames("C","#Delta_{p}","#xi", "#sigma", "#sigma_{n}"); |
| c389303e |
691 | landau1->SetNpx(500); |
| 692 | landau1->SetParLimits(kDelta, minE, fMaxRange); |
| 693 | landau1->SetParLimits(kXi, 0.00, fMaxRange); |
| 694 | landau1->SetParLimits(kSigma, 0.01, 0.1); |
| 695 | if (sigman <= 0) landau1->FixParameter(kSigmaN, 0); |
| 696 | else landau1->SetParLimits(kSigmaN, 0, fMaxRange); |
| 7f759bb7 |
697 | |
| 698 | // Do the fit, getting the result object |
| 699 | TFitResultPtr r = dist->Fit(landau1, "RNQS", "", minE, maxEE); |
| c389303e |
700 | landau1->SetRange(minE, fMaxRange); |
| 7f759bb7 |
701 | fFitResults.AddAtAndExpand(new TFitResult(*r), 0); |
| 702 | fFunctions.AddAtAndExpand(landau1, 0); |
| 703 | |
| 704 | return landau1; |
| 705 | } |
| 706 | //____________________________________________________________________ |
| 707 | TF1* |
| 708 | AliForwardUtil::ELossFitter::FitNParticle(TH1* dist, UShort_t n, |
| 709 | Double_t sigman) |
| 710 | { |
| 7984e5f7 |
711 | // |
| 712 | // Fit a N-particle signal to the passed energy loss distribution |
| 713 | // |
| 714 | // If there's no 1-particle fit present, it does that first |
| 715 | // |
| 716 | // Parameters: |
| 717 | // dist Data to fit the function to |
| 718 | // n Number of particle signals to fit |
| 719 | // sigman If larger than zero, the initial guess of the |
| 720 | // detector induced noise. If zero or less, then this |
| 721 | // parameter is ignored in the fit (fixed at 0) |
| 722 | // |
| 723 | // Return: |
| 724 | // The function fitted to the data |
| 725 | // |
| 726 | |
| 7f759bb7 |
727 | // Get the seed fit result |
| 728 | TFitResult* r = static_cast<TFitResult*>(fFitResults.At(0)); |
| 729 | TF1* f = static_cast<TF1*>(fFunctions.At(0)); |
| 730 | if (!r || !f) { |
| 731 | f = Fit1Particle(dist, sigman); |
| 732 | r = static_cast<TFitResult*>(fFitResults.At(0)); |
| 733 | if (!r || !f) { |
| 734 | ::Warning("FitNLandau", "No first shot at landau fit"); |
| 735 | return 0; |
| 736 | } |
| 737 | } |
| 738 | |
| 739 | // Get some parameters from seed fit |
| c389303e |
740 | Double_t delta1 = r->Parameter(kDelta); |
| 741 | Double_t xi1 = r->Parameter(kXi); |
| 7f759bb7 |
742 | Double_t maxEi = n * (delta1 + xi1 * TMath::Log(n)) + 2 * n * xi1; |
| 743 | Double_t minE = f->GetXmin(); |
| 744 | |
| 0bd4b00f |
745 | // Array of weights |
| 746 | TArrayD a(n-1); |
| 747 | for (UShort_t i = 2; i <= n; i++) |
| 748 | a.fArray[i-2] = (n == 2 ? 0.05 : 0.000001); |
| 7f759bb7 |
749 | // Make the fit function |
| 0bd4b00f |
750 | TF1* landaun = MakeNLandauGaus(r->Parameter(kC), |
| 751 | r->Parameter(kDelta), |
| 752 | r->Parameter(kXi), |
| 753 | r->Parameter(kSigma), |
| 754 | r->Parameter(kSigmaN), |
| 755 | n,a.fArray,minE,maxEi); |
| c389303e |
756 | landaun->SetParLimits(kDelta, minE, fMaxRange); // Delta |
| 757 | landaun->SetParLimits(kXi, 0.00, fMaxRange); // xi |
| 758 | landaun->SetParLimits(kSigma, 0.01, 1); // sigma |
| 759 | // Check if we're using the noise sigma |
| 760 | if (sigman <= 0) landaun->FixParameter(kSigmaN, 0); |
| 761 | else landaun->SetParLimits(kSigmaN, 0, fMaxRange); |
| 7f759bb7 |
762 | |
| 763 | // Set the range and name of the scale parameters |
| 764 | for (UShort_t i = 2; i <= n; i++) {// Take parameters from last fit |
| c389303e |
765 | landaun->SetParLimits(kA+i-2, 0,1); |
| 7f759bb7 |
766 | } |
| 767 | |
| 768 | // Do the fit |
| 769 | TFitResultPtr tr = dist->Fit(landaun, "RSQN", "", minE, maxEi); |
| 770 | |
| c389303e |
771 | landaun->SetRange(minE, fMaxRange); |
| 7f759bb7 |
772 | fFitResults.AddAtAndExpand(new TFitResult(*tr), n-1); |
| 773 | fFunctions.AddAtAndExpand(landaun, n-1); |
| 774 | |
| 775 | return landaun; |
| 776 | } |
| 7e4038b5 |
777 | |
| 778 | //==================================================================== |
| 779 | AliForwardUtil::Histos::~Histos() |
| 780 | { |
| 7984e5f7 |
781 | // |
| 782 | // Destructor |
| 783 | // |
| 7e4038b5 |
784 | if (fFMD1i) delete fFMD1i; |
| 785 | if (fFMD2i) delete fFMD2i; |
| 786 | if (fFMD2o) delete fFMD2o; |
| 787 | if (fFMD3i) delete fFMD3i; |
| 788 | if (fFMD3o) delete fFMD3o; |
| 789 | } |
| 790 | |
| 791 | //____________________________________________________________________ |
| 792 | TH2D* |
| 793 | AliForwardUtil::Histos::Make(UShort_t d, Char_t r, |
| 794 | const TAxis& etaAxis) const |
| 795 | { |
| 7984e5f7 |
796 | // |
| 797 | // Make a histogram |
| 798 | // |
| 799 | // Parameters: |
| 800 | // d Detector |
| 801 | // r Ring |
| 802 | // etaAxis Eta axis to use |
| 803 | // |
| 804 | // Return: |
| 805 | // Newly allocated histogram |
| 806 | // |
| 7e4038b5 |
807 | Int_t ns = (r == 'I' || r == 'i') ? 20 : 40; |
| 808 | TH2D* hist = new TH2D(Form("FMD%d%c_cache", d, r), |
| 809 | Form("FMD%d%c cache", d, r), |
| 810 | etaAxis.GetNbins(), etaAxis.GetXmin(), |
| 811 | etaAxis.GetXmax(), ns, 0, 2*TMath::Pi()); |
| 812 | hist->SetXTitle("#eta"); |
| 813 | hist->SetYTitle("#phi [radians]"); |
| 814 | hist->SetZTitle("d^{2}N_{ch}/d#etad#phi"); |
| 815 | hist->Sumw2(); |
| 816 | hist->SetDirectory(0); |
| 817 | |
| 818 | return hist; |
| 819 | } |
| 820 | //____________________________________________________________________ |
| 821 | void |
| 822 | AliForwardUtil::Histos::Init(const TAxis& etaAxis) |
| 823 | { |
| 7984e5f7 |
824 | // |
| 825 | // Initialize the object |
| 826 | // |
| 827 | // Parameters: |
| 828 | // etaAxis Eta axis to use |
| 829 | // |
| 7e4038b5 |
830 | fFMD1i = Make(1, 'I', etaAxis); |
| 831 | fFMD2i = Make(2, 'I', etaAxis); |
| 832 | fFMD2o = Make(2, 'O', etaAxis); |
| 833 | fFMD3i = Make(3, 'I', etaAxis); |
| 834 | fFMD3o = Make(3, 'O', etaAxis); |
| 835 | } |
| 836 | //____________________________________________________________________ |
| 837 | void |
| 838 | AliForwardUtil::Histos::Clear(Option_t* option) |
| 839 | { |
| 7984e5f7 |
840 | // |
| 841 | // Clear data |
| 842 | // |
| 843 | // Parameters: |
| 844 | // option Not used |
| 845 | // |
| 422a78c8 |
846 | if (fFMD1i) fFMD1i->Reset(option); |
| 847 | if (fFMD2i) fFMD2i->Reset(option); |
| 848 | if (fFMD2o) fFMD2o->Reset(option); |
| 849 | if (fFMD3i) fFMD3i->Reset(option); |
| 850 | if (fFMD3o) fFMD3o->Reset(option); |
| 7e4038b5 |
851 | } |
| 852 | |
| 853 | //____________________________________________________________________ |
| 854 | TH2D* |
| 855 | AliForwardUtil::Histos::Get(UShort_t d, Char_t r) const |
| 856 | { |
| 7984e5f7 |
857 | // |
| 858 | // Get the histogram for a particular detector,ring |
| 859 | // |
| 860 | // Parameters: |
| 861 | // d Detector |
| 862 | // r Ring |
| 863 | // |
| 864 | // Return: |
| 865 | // Histogram for detector,ring or nul |
| 866 | // |
| 7e4038b5 |
867 | switch (d) { |
| 868 | case 1: return fFMD1i; |
| 869 | case 2: return (r == 'I' || r == 'i' ? fFMD2i : fFMD2o); |
| 870 | case 3: return (r == 'I' || r == 'i' ? fFMD3i : fFMD3o); |
| 871 | } |
| 872 | return 0; |
| 873 | } |
| 9d99b0dd |
874 | //==================================================================== |
| 875 | TList* |
| 876 | AliForwardUtil::RingHistos::DefineOutputList(TList* d) const |
| 877 | { |
| 7984e5f7 |
878 | // |
| 879 | // Define the outout list in @a d |
| 880 | // |
| 881 | // Parameters: |
| 882 | // d Where to put the output list |
| 883 | // |
| 884 | // Return: |
| 885 | // Newly allocated TList object or null |
| 886 | // |
| 9d99b0dd |
887 | if (!d) return 0; |
| 888 | TList* list = new TList; |
| 5bb5d1f6 |
889 | list->SetOwner(); |
| 9d99b0dd |
890 | list->SetName(fName.Data()); |
| 891 | d->Add(list); |
| 892 | return list; |
| 893 | } |
| 894 | //____________________________________________________________________ |
| 895 | TList* |
| fb3430ac |
896 | AliForwardUtil::RingHistos::GetOutputList(const TList* d) const |
| 9d99b0dd |
897 | { |
| 7984e5f7 |
898 | // |
| 899 | // Get our output list from the container @a d |
| 900 | // |
| 901 | // Parameters: |
| 902 | // d where to get the output list from |
| 903 | // |
| 904 | // Return: |
| 905 | // The found TList or null |
| 906 | // |
| 9d99b0dd |
907 | if (!d) return 0; |
| 908 | TList* list = static_cast<TList*>(d->FindObject(fName.Data())); |
| 909 | return list; |
| 910 | } |
| 911 | |
| 912 | //____________________________________________________________________ |
| 913 | TH1* |
| fb3430ac |
914 | AliForwardUtil::RingHistos::GetOutputHist(const TList* d, const char* name) const |
| 9d99b0dd |
915 | { |
| 7984e5f7 |
916 | // |
| 917 | // Find a specific histogram in the source list @a d |
| 918 | // |
| 919 | // Parameters: |
| 920 | // d (top)-container |
| 921 | // name Name of histogram |
| 922 | // |
| 923 | // Return: |
| 924 | // Found histogram or null |
| 925 | // |
| 9d99b0dd |
926 | return static_cast<TH1*>(d->FindObject(name)); |
| 927 | } |
| 928 | |
| f53fb4f6 |
929 | //==================================================================== |
| 930 | AliForwardUtil::DebugGuard::DebugGuard(Int_t lvl, Int_t msgLvl, |
| 931 | const char* format, ...) |
| 932 | : fMsg("") |
| 933 | { |
| 934 | if (lvl < msgLvl) return; |
| 935 | va_list ap; |
| 936 | va_start(ap, format); |
| 937 | static char buf[512]; |
| 938 | Int_t n = gROOT->GetDirLevel() + 1; |
| 939 | for (Int_t i = 0; i < n; i++) buf[i] = ' '; |
| 940 | vsnprintf(&(buf[n]), 511-n, format, ap); |
| 941 | buf[511] = '\0'; |
| 942 | fMsg = buf; |
| 943 | va_end(ap); |
| 944 | Format(true); |
| 945 | } |
| 946 | //____________________________________________________________________ |
| 947 | AliForwardUtil::DebugGuard::~DebugGuard() |
| 948 | { |
| 949 | if (fMsg.IsNull()) return; |
| 950 | Format(false); |
| 951 | } |
| 952 | //____________________________________________________________________ |
| 953 | void |
| 954 | AliForwardUtil::DebugGuard::Format(bool in) |
| 955 | { |
| 956 | fMsg[0] = in ? '>' : '<'; |
| 957 | AliLog::Debug(0, fMsg, "PWGLF-forward", "", "", "", 0); |
| 958 | if (in) gROOT->IncreaseDirLevel(); |
| 959 | else gROOT->DecreaseDirLevel(); |
| 960 | } |
| 961 | |
| 962 | |
| 963 | |
| 7e4038b5 |
964 | // |
| 965 | // EOF |
| 966 | // |
git://git.uio.no / u / mrichter / AliRoot.git / blame