| 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> |
| 290052e7 |
10 | #include <AliAODInputHandler.h> |
| 11 | #include <AliAODHandler.h> |
| 12 | #include <AliAODEvent.h> |
| 9d99b0dd |
13 | #include <AliESDEvent.h> |
| 290052e7 |
14 | #include <AliAnalysisTaskSE.h> |
| 9d99b0dd |
15 | #include <AliPhysicsSelection.h> |
| 16 | #include <AliTriggerAnalysis.h> |
| 17 | #include <AliMultiplicity.h> |
| 241cca4d |
18 | #include <TParameter.h> |
| 7e4038b5 |
19 | #include <TH2D.h> |
| 9d99b0dd |
20 | #include <TH1I.h> |
| 7f759bb7 |
21 | #include <TF1.h> |
| 22 | #include <TFitResult.h> |
| 7e4038b5 |
23 | #include <TMath.h> |
| 7f759bb7 |
24 | #include <TError.h> |
| f53fb4f6 |
25 | #include <TROOT.h> |
| 7f759bb7 |
26 | |
| 0bd4b00f |
27 | //==================================================================== |
| 28 | UShort_t |
| 29 | AliForwardUtil::ParseCollisionSystem(const char* sys) |
| 30 | { |
| 7984e5f7 |
31 | // |
| 32 | // Parse a collision system spec given in a string. Known values are |
| 33 | // |
| 0151a6c6 |
34 | // - "ppb", "p-pb", "pa", "p-a" which returns kPPb |
| 35 | // - "pp", "p-p" which returns kPP |
| 36 | // - "PbPb", "Pb-Pb", "A-A", which returns kPbPb |
| 7984e5f7 |
37 | // - Everything else gives kUnknown |
| 38 | // |
| 39 | // Parameters: |
| 40 | // sys Collision system spec |
| 41 | // |
| 42 | // Return: |
| 43 | // Collision system id |
| 44 | // |
| 0bd4b00f |
45 | TString s(sys); |
| 46 | s.ToLower(); |
| 0151a6c6 |
47 | // we do pA first to avoid pp catch on ppb string (AH) |
| 48 | if (s.Contains("p-pb") || s.Contains("ppb")) return AliForwardUtil::kPPb; |
| 49 | if (s.Contains("p-a") || s.Contains("pa")) return AliForwardUtil::kPPb; |
| 50 | if (s.Contains("p-p") || s.Contains("pp")) return AliForwardUtil::kPP; |
| 51 | if (s.Contains("pb-pb") || s.Contains("pbpb")) return AliForwardUtil::kPbPb; |
| 52 | if (s.Contains("a-a") || s.Contains("aa")) return AliForwardUtil::kPbPb; |
| 0bd4b00f |
53 | return AliForwardUtil::kUnknown; |
| 54 | } |
| 55 | //____________________________________________________________________ |
| 56 | const char* |
| 57 | AliForwardUtil::CollisionSystemString(UShort_t sys) |
| 58 | { |
| 7984e5f7 |
59 | // |
| 60 | // Get a string representation of the collision system |
| 61 | // |
| 62 | // Parameters: |
| 63 | // sys Collision system |
| 64 | // - kPP -> "pp" |
| 65 | // - kPbPb -> "PbPb" |
| 66 | // - anything else gives "unknown" |
| 67 | // |
| 68 | // Return: |
| 69 | // String representation of the collision system |
| 70 | // |
| 0bd4b00f |
71 | switch (sys) { |
| 72 | case AliForwardUtil::kPP: return "pp"; |
| 73 | case AliForwardUtil::kPbPb: return "PbPb"; |
| 0151a6c6 |
74 | case AliForwardUtil::kPPb: return "pPb"; |
| 0bd4b00f |
75 | } |
| 76 | return "unknown"; |
| 77 | } |
| 78 | //____________________________________________________________________ |
| 79 | UShort_t |
| cc83fca2 |
80 | AliForwardUtil::ParseCenterOfMassEnergy(UShort_t /* sys */, Float_t v) |
| 0bd4b00f |
81 | { |
| 7984e5f7 |
82 | // |
| 83 | // Parse the center of mass energy given as a float and return known |
| 84 | // values as a unsigned integer |
| 85 | // |
| 86 | // Parameters: |
| 87 | // sys Collision system (needed for AA) |
| 88 | // cms Center of mass energy * total charge |
| 89 | // |
| 90 | // Return: |
| 91 | // Center of mass energy per nucleon |
| 92 | // |
| 0bd4b00f |
93 | Float_t energy = v; |
| cc83fca2 |
94 | // Below no longer needed apparently |
| 95 | // if (sys == AliForwardUtil::kPbPb) energy = energy / 208 * 82; |
| 0bd4b00f |
96 | if (TMath::Abs(energy - 900.) < 10) return 900; |
| 97 | if (TMath::Abs(energy - 2400.) < 10) return 2400; |
| e58000b7 |
98 | if (TMath::Abs(energy - 2750.) < 20) return 2750; |
| 0151a6c6 |
99 | if (TMath::Abs(energy - 4400.) < 10) return 4400; |
| 0bd4b00f |
100 | if (TMath::Abs(energy - 5500.) < 40) return 5500; |
| 101 | if (TMath::Abs(energy - 7000.) < 10) return 7000; |
| 4bcdcbc1 |
102 | if (TMath::Abs(energy - 8000.) < 10) return 8000; |
| 0bd4b00f |
103 | if (TMath::Abs(energy - 10000.) < 10) return 10000; |
| 104 | if (TMath::Abs(energy - 14000.) < 10) return 14000; |
| 105 | return 0; |
| 106 | } |
| 107 | //____________________________________________________________________ |
| 108 | const char* |
| 109 | AliForwardUtil::CenterOfMassEnergyString(UShort_t cms) |
| 110 | { |
| 7984e5f7 |
111 | // |
| 112 | // Get a string representation of the center of mass energy per nuclean |
| 113 | // |
| 114 | // Parameters: |
| 115 | // cms Center of mass energy per nucleon |
| 116 | // |
| 117 | // Return: |
| 118 | // String representation of the center of mass energy per nuclean |
| 119 | // |
| 0bd4b00f |
120 | return Form("%04dGeV", cms); |
| 121 | } |
| 122 | //____________________________________________________________________ |
| 123 | Short_t |
| 124 | AliForwardUtil::ParseMagneticField(Float_t v) |
| 125 | { |
| 7984e5f7 |
126 | // |
| 127 | // Parse the magnetic field (in kG) as given by a floating point number |
| 128 | // |
| 129 | // Parameters: |
| 130 | // field Magnetic field in kG |
| 131 | // |
| 132 | // Return: |
| 133 | // Short integer value of magnetic field in kG |
| 134 | // |
| 0bd4b00f |
135 | if (TMath::Abs(v - 5.) < 1 ) return +5; |
| 136 | if (TMath::Abs(v + 5.) < 1 ) return -5; |
| 137 | if (TMath::Abs(v) < 1) return 0; |
| 138 | return 999; |
| 139 | } |
| 140 | //____________________________________________________________________ |
| 141 | const char* |
| 142 | AliForwardUtil::MagneticFieldString(Short_t f) |
| 143 | { |
| 7984e5f7 |
144 | // |
| 145 | // Get a string representation of the magnetic field |
| 146 | // |
| 147 | // Parameters: |
| 148 | // field Magnetic field in kG |
| 149 | // |
| 150 | // Return: |
| 151 | // String representation of the magnetic field |
| 152 | // |
| 0bd4b00f |
153 | return Form("%01dkG", f); |
| 154 | } |
| 290052e7 |
155 | //_____________________________________________________________________ |
| 156 | AliAODEvent* AliForwardUtil::GetAODEvent(AliAnalysisTaskSE* task) |
| 157 | { |
| 158 | // Check if AOD is the output event |
| 576472c1 |
159 | if (!task) ::Fatal("GetAODEvent", "Null task given, cannot do that"); |
| 160 | |
| 290052e7 |
161 | AliAODEvent* ret = task->AODEvent(); |
| 162 | if (ret) return ret; |
| 163 | |
| 164 | // Check if AOD is the input event |
| 165 | ret = dynamic_cast<AliAODEvent*>(task->InputEvent()); |
| 166 | if (!ret) ::Warning("GetAODEvent", "No AOD event found"); |
| 167 | |
| 168 | return ret; |
| 169 | } |
| 170 | //_____________________________________________________________________ |
| 171 | UShort_t AliForwardUtil::CheckForAOD() |
| 172 | { |
| 173 | AliAnalysisManager* am = AliAnalysisManager::GetAnalysisManager(); |
| 174 | if (dynamic_cast<AliAODInputHandler*>(am->GetInputEventHandler())) { |
| 175 | ::Info("CheckForAOD", "Found AOD Input handler"); |
| 176 | return 1; |
| 177 | } |
| 178 | if (dynamic_cast<AliAODHandler*>(am->GetOutputEventHandler())) { |
| 179 | ::Info("CheckForAOD", "Found AOD Output handler"); |
| 180 | return 2; |
| 181 | } |
| 182 | |
| 183 | ::Warning("CheckForAOD", |
| 184 | "Neither and input nor output AOD handler is specified"); |
| 185 | return 0; |
| 186 | } |
| 187 | //_____________________________________________________________________ |
| 188 | Bool_t AliForwardUtil::CheckForTask(const char* clsOrName, Bool_t cls) |
| 189 | { |
| 190 | AliAnalysisManager* am = AliAnalysisManager::GetAnalysisManager(); |
| 191 | if (!cls) { |
| 192 | AliAnalysisTask* t = am->GetTask(clsOrName); |
| 193 | if (!t) { |
| 194 | ::Warning("CheckForTask", "Task %s not found in manager", clsOrName); |
| 195 | return false; |
| 196 | } |
| 197 | ::Info("CheckForTask", "Found task %s", clsOrName); |
| 198 | return true; |
| 199 | } |
| 200 | TClass* dep = gROOT->GetClass(clsOrName); |
| 201 | if (!dep) { |
| 202 | ::Warning("CheckForTask", "Unknown class %s for needed task", clsOrName); |
| 203 | return false; |
| 204 | } |
| 205 | TIter next(am->GetTasks()); |
| 206 | TObject* o = 0; |
| 207 | while ((o = next())) { |
| 208 | if (o->IsA()->InheritsFrom(dep)) { |
| 209 | ::Info("CheckForTask", "Found task of class %s: %s", |
| 210 | clsOrName, o->GetName()); |
| 211 | return true; |
| 212 | } |
| 213 | } |
| 214 | ::Warning("CheckForTask", "No task of class %s was found", clsOrName); |
| 215 | return false; |
| 216 | } |
| 217 | |
| 241cca4d |
218 | //_____________________________________________________________________ |
| 219 | TObject* AliForwardUtil::MakeParameter(const Char_t* name, UShort_t value) |
| 220 | { |
| 221 | TParameter<int>* ret = new TParameter<int>(name, value); |
| 222 | ret->SetUniqueID(value); |
| 223 | return ret; |
| 224 | } |
| 225 | //_____________________________________________________________________ |
| 226 | TObject* AliForwardUtil::MakeParameter(const Char_t* name, Int_t value) |
| 227 | { |
| 228 | TParameter<int>* ret = new TParameter<int>(name, value); |
| 229 | ret->SetUniqueID(value); |
| 230 | return ret; |
| 231 | } |
| 232 | //_____________________________________________________________________ |
| 233 | TObject* AliForwardUtil::MakeParameter(const Char_t* name, Double_t value) |
| 234 | { |
| 235 | TParameter<double>* ret = new TParameter<double>(name, value); |
| 236 | Float_t v = value; |
| 237 | ret->SetUniqueID(*reinterpret_cast<UInt_t*>(&v)); |
| 238 | return ret; |
| 239 | } |
| 240 | //_____________________________________________________________________ |
| 241 | TObject* AliForwardUtil::MakeParameter(const Char_t* name, Bool_t value) |
| 242 | { |
| 243 | TParameter<bool>* ret = new TParameter<bool>(name, value); |
| 244 | ret->SetUniqueID(value); |
| 245 | return ret; |
| 246 | } |
| 247 | |
| 248 | //_____________________________________________________________________ |
| 249 | void AliForwardUtil::GetParameter(TObject* o, UShort_t& value) |
| 250 | { |
| 251 | if (!o) return; |
| 252 | value = o->GetUniqueID(); |
| 253 | } |
| 254 | //_____________________________________________________________________ |
| 255 | void AliForwardUtil::GetParameter(TObject* o, Int_t& value) |
| 256 | { |
| 257 | if (!o) return; |
| 258 | value = o->GetUniqueID(); |
| 259 | } |
| 260 | //_____________________________________________________________________ |
| 261 | void AliForwardUtil::GetParameter(TObject* o, Double_t& value) |
| 262 | { |
| 263 | if (!o) return; |
| 264 | UInt_t i = o->GetUniqueID(); |
| 265 | Float_t v = *reinterpret_cast<Float_t*>(&i); |
| 266 | value = v; |
| 267 | } |
| 268 | //_____________________________________________________________________ |
| 269 | void AliForwardUtil::GetParameter(TObject* o, Bool_t& value) |
| 270 | { |
| 271 | if (!o) return; |
| 272 | value = o->GetUniqueID(); |
| 273 | } |
| 290052e7 |
274 | |
| 6f4a5c0d |
275 | //_____________________________________________________________________ |
| 276 | Double_t AliForwardUtil::GetEtaFromStrip(UShort_t det, Char_t ring, UShort_t sec, UShort_t strip, Double_t zvtx) |
| 277 | { |
| 278 | //Calculate eta from strip with vertex (redundant with AliESDFMD::Eta but support displaced vertices) |
| 279 | |
| 280 | //Get max R of ring |
| 281 | Double_t maxR = 0; |
| 282 | Double_t minR = 0; |
| 283 | Bool_t inner = false; |
| 284 | switch (ring) { |
| 285 | case 'i': case 'I': maxR = 17.2; minR = 4.5213; inner = true; break; |
| 286 | case 'o': case 'O': maxR = 28.0; minR = 15.4; inner = false; break; |
| 287 | default: |
| 288 | return -99999; |
| 289 | } |
| 290 | |
| 291 | Double_t rad = maxR- minR; |
| 292 | Double_t nStrips = (ring == 'I' ? 512 : 256); |
| 293 | Double_t segment = rad / nStrips; |
| 294 | Double_t r = minR + segment*strip; |
| 295 | Int_t hybrid = sec / 2; |
| 296 | |
| 297 | Double_t z = 0; |
| 298 | switch (det) { |
| 299 | case 1: z = 320.266; break; |
| 300 | case 2: z = (inner ? 83.666 : 74.966); break; |
| 301 | case 3: z = (inner ? -63.066 : -74.966); break; |
| 302 | default: return -999999; |
| 303 | } |
| 304 | if ((hybrid % 2) == 0) z -= .5; |
| 305 | |
| 306 | Double_t theta = TMath::ATan2(r,z-zvtx); |
| 307 | Double_t eta = -1*TMath::Log(TMath::Tan(0.5*theta)); |
| 308 | |
| 309 | return eta; |
| 310 | } |
| 0bd4b00f |
311 | |
| 312 | |
| 7f759bb7 |
313 | //==================================================================== |
| 314 | Int_t AliForwardUtil::fgConvolutionSteps = 100; |
| 315 | Double_t AliForwardUtil::fgConvolutionNSigma = 5; |
| 316 | namespace { |
| 7984e5f7 |
317 | // |
| 318 | // The shift of the most probable value for the ROOT function TMath::Landau |
| 319 | // |
| 7f759bb7 |
320 | const Double_t mpshift = -0.22278298; |
| 7984e5f7 |
321 | // |
| 322 | // Integration normalisation |
| 323 | // |
| 7f759bb7 |
324 | const Double_t invSq2pi = 1. / TMath::Sqrt(2*TMath::Pi()); |
| 325 | |
| 7984e5f7 |
326 | // |
| 327 | // Utility function to use in TF1 defintition |
| 328 | // |
| 7f759bb7 |
329 | Double_t landauGaus1(Double_t* xp, Double_t* pp) |
| 330 | { |
| 331 | Double_t x = xp[0]; |
| c389303e |
332 | Double_t constant = pp[AliForwardUtil::ELossFitter::kC]; |
| 333 | Double_t delta = pp[AliForwardUtil::ELossFitter::kDelta]; |
| 334 | Double_t xi = pp[AliForwardUtil::ELossFitter::kXi]; |
| 335 | Double_t sigma = pp[AliForwardUtil::ELossFitter::kSigma]; |
| 1174780f |
336 | Double_t sigmaN = pp[AliForwardUtil::ELossFitter::kSigmaN]; |
| 7f759bb7 |
337 | |
| 1174780f |
338 | return constant * AliForwardUtil::LandauGaus(x, delta, xi, sigma, sigmaN); |
| 7f759bb7 |
339 | } |
| 340 | |
| 7984e5f7 |
341 | // |
| 342 | // Utility function to use in TF1 defintition |
| 343 | // |
| 7f759bb7 |
344 | Double_t landauGausN(Double_t* xp, Double_t* pp) |
| 345 | { |
| 346 | Double_t x = xp[0]; |
| c389303e |
347 | Double_t constant = pp[AliForwardUtil::ELossFitter::kC]; |
| 348 | Double_t delta = pp[AliForwardUtil::ELossFitter::kDelta]; |
| 349 | Double_t xi = pp[AliForwardUtil::ELossFitter::kXi]; |
| 350 | Double_t sigma = pp[AliForwardUtil::ELossFitter::kSigma]; |
| 1174780f |
351 | Double_t sigmaN = pp[AliForwardUtil::ELossFitter::kSigmaN]; |
| c389303e |
352 | Int_t n = Int_t(pp[AliForwardUtil::ELossFitter::kN]); |
| 353 | Double_t* a = &(pp[AliForwardUtil::ELossFitter::kA]); |
| 7f759bb7 |
354 | |
| 1174780f |
355 | return constant * AliForwardUtil::NLandauGaus(x, delta, xi, sigma, sigmaN, |
| 7f759bb7 |
356 | n, a); |
| 357 | } |
| 7984e5f7 |
358 | // |
| 359 | // Utility function to use in TF1 defintition |
| 360 | // |
| 0bd4b00f |
361 | Double_t landauGausI(Double_t* xp, Double_t* pp) |
| 362 | { |
| 363 | Double_t x = xp[0]; |
| 364 | Double_t constant = pp[AliForwardUtil::ELossFitter::kC]; |
| 365 | Double_t delta = pp[AliForwardUtil::ELossFitter::kDelta]; |
| 366 | Double_t xi = pp[AliForwardUtil::ELossFitter::kXi]; |
| 367 | Double_t sigma = pp[AliForwardUtil::ELossFitter::kSigma]; |
| 1174780f |
368 | Double_t sigmaN = pp[AliForwardUtil::ELossFitter::kSigmaN]; |
| 0bd4b00f |
369 | Int_t i = Int_t(pp[AliForwardUtil::ELossFitter::kN]); |
| 370 | |
| 1174780f |
371 | return constant * AliForwardUtil::ILandauGaus(x,delta,xi,sigma,sigmaN,i); |
| 0bd4b00f |
372 | } |
| 7f759bb7 |
373 | |
| 374 | |
| 375 | } |
| 376 | //____________________________________________________________________ |
| 377 | Double_t |
| 378 | AliForwardUtil::Landau(Double_t x, Double_t delta, Double_t xi) |
| 379 | { |
| 7984e5f7 |
380 | // |
| 381 | // Calculate the shifted Landau |
| 382 | // @f[ |
| 383 | // f'_{L}(x;\Delta,\xi) = f_L(x;\Delta+0.22278298\xi) |
| 384 | // @f] |
| 385 | // |
| 386 | // where @f$ f_{L}@f$ is the ROOT implementation of the Landau |
| 387 | // distribution (known to have @f$ \Delta_{p}=-0.22278298@f$ for |
| 388 | // @f$\Delta=0,\xi=1@f$. |
| 389 | // |
| 390 | // Parameters: |
| 391 | // x Where to evaluate @f$ f'_{L}@f$ |
| 392 | // delta Most probable value |
| 393 | // xi The 'width' of the distribution |
| 394 | // |
| 395 | // Return: |
| 396 | // @f$ f'_{L}(x;\Delta,\xi) @f$ |
| 397 | // |
| 7f759bb7 |
398 | return TMath::Landau(x, delta - xi * mpshift, xi); |
| 399 | } |
| 400 | //____________________________________________________________________ |
| 401 | Double_t |
| 402 | AliForwardUtil::LandauGaus(Double_t x, Double_t delta, Double_t xi, |
| 1174780f |
403 | Double_t sigma, Double_t sigmaN) |
| 7f759bb7 |
404 | { |
| 7984e5f7 |
405 | // |
| 406 | // Calculate the value of a Landau convolved with a Gaussian |
| 407 | // |
| 408 | // @f[ |
| 409 | // f(x;\Delta,\xi,\sigma') = \frac{1}{\sigma' \sqrt{2 \pi}} |
| 410 | // \int_{-\infty}^{+\infty} d\Delta' f'_{L}(x;\Delta',\xi) |
| 411 | // \exp{-\frac{(\Delta-\Delta')^2}{2\sigma'^2}} |
| 412 | // @f] |
| 413 | // |
| 414 | // where @f$ f'_{L}@f$ is the Landau distribution, @f$ \Delta@f$ the |
| 415 | // energy loss, @f$ \xi@f$ the width of the Landau, and |
| 416 | // @f$ \sigma'^2=\sigma^2-\sigma_n^2 @f$. Here, @f$\sigma@f$ is the |
| 417 | // variance of the Gaussian, and @f$\sigma_n@f$ is a parameter modelling |
| 418 | // noise in the detector. |
| 419 | // |
| 420 | // Note that this function uses the constants fgConvolutionSteps and |
| 421 | // fgConvolutionNSigma |
| 422 | // |
| 423 | // References: |
| 424 | // - <a href="http://dx.doi.org/10.1016/0168-583X(84)90472-5">Nucl.Instrum.Meth.B1:16</a> |
| 425 | // - <a href="http://dx.doi.org/10.1103/PhysRevA.28.615">Phys.Rev.A28:615</a> |
| 426 | // - <a href="http://root.cern.ch/root/htmldoc/tutorials/fit/langaus.C.html">ROOT implementation</a> |
| 427 | // |
| 428 | // Parameters: |
| 429 | // x where to evaluate @f$ f@f$ |
| 430 | // delta @f$ \Delta@f$ of @f$ f(x;\Delta,\xi,\sigma')@f$ |
| 431 | // xi @f$ \xi@f$ of @f$ f(x;\Delta,\xi,\sigma')@f$ |
| 432 | // sigma @f$ \sigma@f$ of @f$\sigma'^2=\sigma^2-\sigma_n^2 @f$ |
| 433 | // sigma_n @f$ \sigma_n@f$ of @f$\sigma'^2=\sigma^2-\sigma_n^2 @f$ |
| 434 | // |
| 435 | // Return: |
| 436 | // @f$ f@f$ evaluated at @f$ x@f$. |
| 437 | // |
| 7f759bb7 |
438 | Double_t deltap = delta - xi * mpshift; |
| 1174780f |
439 | Double_t sigma2 = sigmaN*sigmaN + sigma*sigma; |
| 440 | Double_t sigma1 = sigmaN == 0 ? sigma : TMath::Sqrt(sigma2); |
| 7f759bb7 |
441 | Double_t xlow = x - fgConvolutionNSigma * sigma1; |
| c389303e |
442 | Double_t xhigh = x + fgConvolutionNSigma * sigma1; |
| 7f759bb7 |
443 | Double_t step = (xhigh - xlow) / fgConvolutionSteps; |
| 444 | Double_t sum = 0; |
| 445 | |
| 446 | for (Int_t i = 0; i <= fgConvolutionSteps/2; i++) { |
| c389303e |
447 | Double_t x1 = xlow + (i - .5) * step; |
| 448 | Double_t x2 = xhigh - (i - .5) * step; |
| 7f759bb7 |
449 | |
| 450 | sum += TMath::Landau(x1, deltap, xi, kTRUE) * TMath::Gaus(x, x1, sigma1); |
| 451 | sum += TMath::Landau(x2, deltap, xi, kTRUE) * TMath::Gaus(x, x2, sigma1); |
| 452 | } |
| 453 | return step * sum * invSq2pi / sigma1; |
| 454 | } |
| 455 | |
| 0bd4b00f |
456 | //____________________________________________________________________ |
| 457 | Double_t |
| 458 | AliForwardUtil::ILandauGaus(Double_t x, Double_t delta, Double_t xi, |
| 1174780f |
459 | Double_t sigma, Double_t sigmaN, Int_t i) |
| 0bd4b00f |
460 | { |
| 7984e5f7 |
461 | // |
| 462 | // Evaluate |
| 463 | // @f[ |
| 464 | // f_i(x;\Delta,\xi,\sigma') = f(x;\Delta_i,\xi_i,\sigma_i') |
| 465 | // @f] |
| 466 | // corresponding to @f$ i@f$ particles i.e., with the substitutions |
| 467 | // @f{eqnarray*}{ |
| 468 | // \Delta \rightarrow \Delta_i &=& i(\Delta + \xi\log(i)) |
| 469 | // \xi \rightarrow \xi_i &=& i \xi |
| 470 | // \sigma \rightarrow \sigma_i &=& \sqrt{i}\sigma |
| 471 | // \sigma'^2 \rightarrow \sigma_i'^2 &=& \sigma_n^2 + \sigma_i^2 |
| 472 | // @f} |
| 473 | // |
| 474 | // Parameters: |
| 475 | // x Where to evaluate |
| 476 | // delta @f$ \Delta@f$ |
| 477 | // xi @f$ \xi@f$ |
| 478 | // sigma @f$ \sigma@f$ |
| 479 | // sigma_n @f$ \sigma_n@f$ |
| 480 | // i @f$ i @f$ |
| 481 | // |
| 482 | // Return: |
| 483 | // @f$ f_i @f$ evaluated |
| 484 | // |
| 1174780f |
485 | Double_t deltaI = (i == 1 ? delta : i * (delta + xi * TMath::Log(i))); |
| 486 | Double_t xiI = i * xi; |
| 487 | Double_t sigmaI = (i == 1 ? sigma : TMath::Sqrt(Double_t(i))*sigma); |
| 488 | if (sigmaI < 1e-10) { |
| 0bd4b00f |
489 | // Fall back to landau |
| 1174780f |
490 | return AliForwardUtil::Landau(x, deltaI, xiI); |
| 0bd4b00f |
491 | } |
| 1174780f |
492 | return AliForwardUtil::LandauGaus(x, deltaI, xiI, sigmaI, sigmaN); |
| 0bd4b00f |
493 | } |
| 494 | |
| 495 | //____________________________________________________________________ |
| 496 | Double_t |
| 497 | AliForwardUtil::IdLandauGausdPar(Double_t x, |
| 498 | UShort_t par, Double_t dPar, |
| 499 | Double_t delta, Double_t xi, |
| 1174780f |
500 | Double_t sigma, Double_t sigmaN, |
| 0bd4b00f |
501 | Int_t i) |
| 502 | { |
| 7984e5f7 |
503 | // |
| 504 | // Numerically evaluate |
| 505 | // @f[ |
| 506 | // \left.\frac{\partial f_i}{\partial p_i}\right|_{x} |
| 507 | // @f] |
| 508 | // where @f$ p_i@f$ is the @f$ i^{\mbox{th}}@f$ parameter. The mapping |
| 509 | // of the parameters is given by |
| 510 | // |
| 511 | // - 0: @f$\Delta@f$ |
| 512 | // - 1: @f$\xi@f$ |
| 513 | // - 2: @f$\sigma@f$ |
| 514 | // - 3: @f$\sigma_n@f$ |
| 515 | // |
| 516 | // This is the partial derivative with respect to the parameter of |
| 517 | // the response function corresponding to @f$ i@f$ particles i.e., |
| 518 | // with the substitutions |
| 519 | // @f[ |
| 520 | // \Delta \rightarrow \Delta_i = i(\Delta + \xi\log(i)) |
| 521 | // \xi \rightarrow \xi_i = i \xi |
| 522 | // \sigma \rightarrow \sigma_i = \sqrt{i}\sigma |
| 523 | // \sigma'^2 \rightarrow \sigma_i'^2 = \sigma_n^2 + \sigma_i^2 |
| 524 | // @f] |
| 525 | // |
| 526 | // Parameters: |
| 527 | // x Where to evaluate |
| 528 | // ipar Parameter number |
| 529 | // dp @f$ \epsilon\delta p_i@f$ for some value of @f$\epsilon@f$ |
| 530 | // delta @f$ \Delta@f$ |
| 531 | // xi @f$ \xi@f$ |
| 532 | // sigma @f$ \sigma@f$ |
| 533 | // sigma_n @f$ \sigma_n@f$ |
| 534 | // i @f$ i@f$ |
| 535 | // |
| 536 | // Return: |
| 537 | // @f$ f_i@f$ evaluated |
| 538 | // |
| 0bd4b00f |
539 | if (dPar == 0) return 0; |
| 540 | Double_t dp = dPar; |
| 541 | Double_t d2 = dPar / 2; |
| 1174780f |
542 | Double_t deltaI = i * (delta + xi * TMath::Log(i)); |
| 543 | Double_t xiI = i * xi; |
| 0bd4b00f |
544 | Double_t si = TMath::Sqrt(Double_t(i)); |
| 1174780f |
545 | Double_t sigmaI = si*sigma; |
| 0bd4b00f |
546 | Double_t y1 = 0; |
| 547 | Double_t y2 = 0; |
| 548 | Double_t y3 = 0; |
| 549 | Double_t y4 = 0; |
| 550 | switch (par) { |
| 551 | case 0: |
| 1174780f |
552 | y1 = ILandauGaus(x, deltaI+i*dp, xiI, sigmaI, sigmaN, i); |
| 553 | y2 = ILandauGaus(x, deltaI+i*d2, xiI, sigmaI, sigmaN, i); |
| 554 | y3 = ILandauGaus(x, deltaI-i*d2, xiI, sigmaI, sigmaN, i); |
| 555 | y4 = ILandauGaus(x, deltaI-i*dp, xiI, sigmaI, sigmaN, i); |
| 0bd4b00f |
556 | break; |
| 557 | case 1: |
| 1174780f |
558 | y1 = ILandauGaus(x, deltaI, xiI+i*dp, sigmaI, sigmaN, i); |
| 559 | y2 = ILandauGaus(x, deltaI, xiI+i*d2, sigmaI, sigmaN, i); |
| 560 | y3 = ILandauGaus(x, deltaI, xiI-i*d2, sigmaI, sigmaN, i); |
| 561 | y4 = ILandauGaus(x, deltaI, xiI-i*dp, sigmaI, sigmaN, i); |
| 0bd4b00f |
562 | break; |
| 563 | case 2: |
| 1174780f |
564 | y1 = ILandauGaus(x, deltaI, xiI, sigmaI+si*dp, sigmaN, i); |
| 565 | y2 = ILandauGaus(x, deltaI, xiI, sigmaI+si*d2, sigmaN, i); |
| 566 | y3 = ILandauGaus(x, deltaI, xiI, sigmaI-si*d2, sigmaN, i); |
| 567 | y4 = ILandauGaus(x, deltaI, xiI, sigmaI-si*dp, sigmaN, i); |
| 0bd4b00f |
568 | break; |
| 569 | case 3: |
| 1174780f |
570 | y1 = ILandauGaus(x, deltaI, xiI, sigmaI, sigmaN+dp, i); |
| 571 | y2 = ILandauGaus(x, deltaI, xiI, sigmaI, sigmaN+d2, i); |
| 572 | y3 = ILandauGaus(x, deltaI, xiI, sigmaI, sigmaN-d2, i); |
| 573 | y4 = ILandauGaus(x, deltaI, xiI, sigmaI, sigmaN-dp, i); |
| 0bd4b00f |
574 | break; |
| 575 | default: |
| 576 | return 0; |
| 577 | } |
| 578 | |
| 579 | Double_t d0 = y1 - y4; |
| 580 | Double_t d1 = 2 * (y2 - y3); |
| 581 | |
| 582 | Double_t g = 1/(2*dp) * (4*d1 - d0) / 3; |
| 583 | |
| 584 | return g; |
| 585 | } |
| 586 | |
| 7f759bb7 |
587 | //____________________________________________________________________ |
| 588 | Double_t |
| 589 | AliForwardUtil::NLandauGaus(Double_t x, Double_t delta, Double_t xi, |
| 1174780f |
590 | Double_t sigma, Double_t sigmaN, Int_t n, |
| fb3430ac |
591 | const Double_t* a) |
| 7f759bb7 |
592 | { |
| 7984e5f7 |
593 | // |
| 594 | // Evaluate |
| 595 | // @f[ |
| 596 | // f_N(x;\Delta,\xi,\sigma') = \sum_{i=1}^N a_i f_i(x;\Delta,\xi,\sigma'a) |
| 597 | // @f] |
| 598 | // |
| 599 | // where @f$ f(x;\Delta,\xi,\sigma')@f$ is the convolution of a |
| 600 | // Landau with a Gaussian (see LandauGaus). Note that |
| 601 | // @f$ a_1 = 1@f$, @f$\Delta_i = i(\Delta_1 + \xi\log(i))@f$, |
| 602 | // @f$\xi_i=i\xi_1@f$, and @f$\sigma_i'^2 = \sigma_n^2 + i\sigma_1^2@f$. |
| 603 | // |
| 604 | // References: |
| 605 | // - <a href="http://dx.doi.org/10.1016/0168-583X(84)90472-5">Nucl.Instrum.Meth.B1:16</a> |
| 606 | // - <a href="http://dx.doi.org/10.1103/PhysRevA.28.615">Phys.Rev.A28:615</a> |
| 607 | // - <a href="http://root.cern.ch/root/htmldoc/tutorials/fit/langaus.C.html">ROOT implementation</a> |
| 608 | // |
| 609 | // Parameters: |
| 610 | // x Where to evaluate @f$ f_N@f$ |
| 611 | // delta @f$ \Delta_1@f$ |
| 612 | // xi @f$ \xi_1@f$ |
| 613 | // sigma @f$ \sigma_1@f$ |
| 614 | // sigma_n @f$ \sigma_n@f$ |
| 615 | // n @f$ N@f$ in the sum above. |
| 616 | // a Array of size @f$ N-1@f$ of the weights @f$ a_i@f$ for |
| 617 | // @f$ i > 1@f$ |
| 618 | // |
| 619 | // Return: |
| 620 | // @f$ f_N(x;\Delta,\xi,\sigma')@f$ |
| 621 | // |
| 1174780f |
622 | Double_t result = ILandauGaus(x, delta, xi, sigma, sigmaN, 1); |
| 0bd4b00f |
623 | for (Int_t i = 2; i <= n; i++) |
| 1174780f |
624 | result += a[i-2] * AliForwardUtil::ILandauGaus(x,delta,xi,sigma,sigmaN,i); |
| 7f759bb7 |
625 | return result; |
| 626 | } |
| 0bd4b00f |
627 | namespace { |
| 628 | const Int_t kColors[] = { kRed+1, |
| 629 | kPink+3, |
| 630 | kMagenta+2, |
| 631 | kViolet+2, |
| 632 | kBlue+1, |
| 633 | kAzure+3, |
| 634 | kCyan+1, |
| 635 | kTeal+2, |
| 636 | kGreen+2, |
| 637 | kSpring+3, |
| 638 | kYellow+2, |
| 639 | kOrange+2 }; |
| 640 | } |
| 641 | |
| 642 | //____________________________________________________________________ |
| 643 | TF1* |
| 644 | AliForwardUtil::MakeNLandauGaus(Double_t c, |
| 645 | Double_t delta, Double_t xi, |
| 1174780f |
646 | Double_t sigma, Double_t sigmaN, Int_t n, |
| fb3430ac |
647 | const Double_t* a, |
| 0bd4b00f |
648 | Double_t xmin, Double_t xmax) |
| 649 | { |
| 7984e5f7 |
650 | // |
| 651 | // Generate a TF1 object of @f$ f_N@f$ |
| 652 | // |
| 653 | // Parameters: |
| 654 | // c Constant |
| 655 | // delta @f$ \Delta@f$ |
| 656 | // xi @f$ \xi_1@f$ |
| 657 | // sigma @f$ \sigma_1@f$ |
| 658 | // sigma_n @f$ \sigma_n@f$ |
| 659 | // n @f$ N@f$ - how many particles to sum to |
| 660 | // a Array of size @f$ N-1@f$ of the weights @f$ a_i@f$ for |
| 661 | // @f$ i > 1@f$ |
| 662 | // xmin Least value of range |
| 663 | // xmax Largest value of range |
| 664 | // |
| 665 | // Return: |
| 666 | // Newly allocated TF1 object |
| 667 | // |
| 0bd4b00f |
668 | Int_t npar = AliForwardUtil::ELossFitter::kN+n; |
| 669 | TF1* landaun = new TF1(Form("nlandau%d", n), &landauGausN,xmin,xmax,npar); |
| 670 | // landaun->SetLineStyle(((n-2) % 10)+2); // start at dashed |
| 671 | landaun->SetLineColor(kColors[((n-1) % 12)]); // start at red |
| 672 | landaun->SetLineWidth(2); |
| 673 | landaun->SetNpx(500); |
| 674 | landaun->SetParNames("C","#Delta_{p}","#xi", "#sigma", "#sigma_{n}", "N"); |
| 675 | |
| 676 | // Set the initial parameters from the seed fit |
| 677 | landaun->SetParameter(AliForwardUtil::ELossFitter::kC, c); |
| 678 | landaun->SetParameter(AliForwardUtil::ELossFitter::kDelta, delta); |
| 679 | landaun->SetParameter(AliForwardUtil::ELossFitter::kXi, xi); |
| 680 | landaun->SetParameter(AliForwardUtil::ELossFitter::kSigma, sigma); |
| 1174780f |
681 | landaun->SetParameter(AliForwardUtil::ELossFitter::kSigmaN, sigmaN); |
| 0bd4b00f |
682 | landaun->FixParameter(AliForwardUtil::ELossFitter::kN, n); |
| 683 | |
| 684 | // Set the range and name of the scale parameters |
| 685 | for (UShort_t i = 2; i <= n; i++) {// Take parameters from last fit |
| 686 | landaun->SetParameter(AliForwardUtil::ELossFitter::kA+i-2, a[i-2]); |
| 687 | landaun->SetParName(AliForwardUtil::ELossFitter::kA+i-2, Form("a_{%d}", i)); |
| 688 | } |
| 689 | return landaun; |
| 690 | } |
| 691 | //____________________________________________________________________ |
| 692 | TF1* |
| 693 | AliForwardUtil::MakeILandauGaus(Double_t c, |
| 694 | Double_t delta, Double_t xi, |
| 1174780f |
695 | Double_t sigma, Double_t sigmaN, Int_t i, |
| 0bd4b00f |
696 | Double_t xmin, Double_t xmax) |
| 697 | { |
| 7984e5f7 |
698 | // |
| 699 | // Generate a TF1 object of @f$ f_I@f$ |
| 700 | // |
| 701 | // Parameters: |
| 702 | // c Constant |
| 703 | // delta @f$ \Delta@f$ |
| 704 | // xi @f$ \xi_1@f$ |
| 705 | // sigma @f$ \sigma_1@f$ |
| 706 | // sigma_n @f$ \sigma_n@f$ |
| 707 | // i @f$ i@f$ - the number of particles |
| 708 | // xmin Least value of range |
| 709 | // xmax Largest value of range |
| 710 | // |
| 711 | // Return: |
| 712 | // Newly allocated TF1 object |
| 713 | // |
| 0bd4b00f |
714 | Int_t npar = AliForwardUtil::ELossFitter::kN+1; |
| 715 | TF1* landaui = new TF1(Form("ilandau%d", i), &landauGausI,xmin,xmax,npar); |
| 716 | // landaui->SetLineStyle(((i-2) % 10)+2); // start at dashed |
| 717 | landaui->SetLineColor(kColors[((i-1) % 12)]); // start at red |
| 718 | landaui->SetLineWidth(1); |
| 719 | landaui->SetNpx(500); |
| 720 | landaui->SetParNames("C","#Delta_{p}","#xi", "#sigma", "#sigma_{n}", "i"); |
| 721 | |
| 722 | // Set the initial parameters from the seed fit |
| 723 | landaui->SetParameter(AliForwardUtil::ELossFitter::kC, c); |
| 724 | landaui->SetParameter(AliForwardUtil::ELossFitter::kDelta, delta); |
| 725 | landaui->SetParameter(AliForwardUtil::ELossFitter::kXi, xi); |
| 726 | landaui->SetParameter(AliForwardUtil::ELossFitter::kSigma, sigma); |
| 1174780f |
727 | landaui->SetParameter(AliForwardUtil::ELossFitter::kSigmaN, sigmaN); |
| 0bd4b00f |
728 | landaui->FixParameter(AliForwardUtil::ELossFitter::kN, i); |
| 729 | |
| 730 | return landaui; |
| 731 | } |
| 7f759bb7 |
732 | |
| 733 | //==================================================================== |
| 734 | AliForwardUtil::ELossFitter::ELossFitter(Double_t lowCut, |
| 735 | Double_t maxRange, |
| 736 | UShort_t minusBins) |
| 737 | : fLowCut(lowCut), fMaxRange(maxRange), fMinusBins(minusBins), |
| 738 | fFitResults(0), fFunctions(0) |
| 739 | { |
| 7984e5f7 |
740 | // |
| 741 | // Constructor |
| 742 | // |
| 743 | // Parameters: |
| 744 | // lowCut Lower cut of spectrum - data below this cuts is ignored |
| 745 | // maxRange Maximum range to fit to |
| 746 | // minusBins The number of bins below maximum to use |
| 747 | // |
| 7f759bb7 |
748 | fFitResults.SetOwner(); |
| 749 | fFunctions.SetOwner(); |
| 750 | } |
| 751 | //____________________________________________________________________ |
| 752 | AliForwardUtil::ELossFitter::~ELossFitter() |
| 753 | { |
| 7984e5f7 |
754 | // |
| 755 | // Destructor |
| 756 | // |
| 757 | // |
| 7f759bb7 |
758 | fFitResults.Delete(); |
| 759 | fFunctions.Delete(); |
| 760 | } |
| 761 | //____________________________________________________________________ |
| 762 | void |
| 763 | AliForwardUtil::ELossFitter::Clear() |
| 764 | { |
| 7984e5f7 |
765 | // |
| 766 | // Clear internal arrays |
| 767 | // |
| 768 | // |
| 7f759bb7 |
769 | fFitResults.Clear(); |
| 770 | fFunctions.Clear(); |
| 771 | } |
| 772 | //____________________________________________________________________ |
| 773 | TF1* |
| 774 | AliForwardUtil::ELossFitter::Fit1Particle(TH1* dist, Double_t sigman) |
| 775 | { |
| 7984e5f7 |
776 | // |
| 777 | // Fit a 1-particle signal to the passed energy loss distribution |
| 778 | // |
| 779 | // Note that this function clears the internal arrays first |
| 780 | // |
| 781 | // Parameters: |
| 782 | // dist Data to fit the function to |
| 783 | // sigman If larger than zero, the initial guess of the |
| 784 | // detector induced noise. If zero or less, then this |
| 785 | // parameter is ignored in the fit (fixed at 0) |
| 786 | // |
| 787 | // Return: |
| 788 | // The function fitted to the data |
| 789 | // |
| 790 | |
| 7f759bb7 |
791 | // Clear the cache |
| 792 | Clear(); |
| 793 | |
| 794 | // Find the fit range |
| 795 | dist->GetXaxis()->SetRangeUser(fLowCut, fMaxRange); |
| 796 | |
| 7f759bb7 |
797 | // Get the bin with maximum |
| 798 | Int_t maxBin = dist->GetMaximumBin(); |
| 799 | Double_t maxE = dist->GetBinLowEdge(maxBin); |
| 800 | |
| 801 | // Get the low edge |
| 802 | dist->GetXaxis()->SetRangeUser(fLowCut, maxE); |
| 803 | Int_t minBin = maxBin - fMinusBins; // dist->GetMinimumBin(); |
| 804 | Double_t minE = TMath::Max(dist->GetBinCenter(minBin),fLowCut); |
| 805 | Double_t maxEE = dist->GetBinCenter(maxBin+2*fMinusBins); |
| 806 | |
| 807 | // Restore the range |
| 808 | dist->GetXaxis()->SetRangeUser(0, fMaxRange); |
| 809 | |
| 810 | // Define the function to fit |
| 0bd4b00f |
811 | TF1* landau1 = new TF1("landau1", landauGaus1, minE,maxEE,kSigmaN+1); |
| 7f759bb7 |
812 | |
| 813 | // Set initial guesses, parameter names, and limits |
| c389303e |
814 | landau1->SetParameters(1,0.5,0.07,0.1,sigman); |
| 7f759bb7 |
815 | landau1->SetParNames("C","#Delta_{p}","#xi", "#sigma", "#sigma_{n}"); |
| c389303e |
816 | landau1->SetNpx(500); |
| 817 | landau1->SetParLimits(kDelta, minE, fMaxRange); |
| 818 | landau1->SetParLimits(kXi, 0.00, fMaxRange); |
| 819 | landau1->SetParLimits(kSigma, 0.01, 0.1); |
| 820 | if (sigman <= 0) landau1->FixParameter(kSigmaN, 0); |
| 821 | else landau1->SetParLimits(kSigmaN, 0, fMaxRange); |
| 7f759bb7 |
822 | |
| 823 | // Do the fit, getting the result object |
| 824 | TFitResultPtr r = dist->Fit(landau1, "RNQS", "", minE, maxEE); |
| c389303e |
825 | landau1->SetRange(minE, fMaxRange); |
| 7f759bb7 |
826 | fFitResults.AddAtAndExpand(new TFitResult(*r), 0); |
| 827 | fFunctions.AddAtAndExpand(landau1, 0); |
| 828 | |
| 829 | return landau1; |
| 830 | } |
| 831 | //____________________________________________________________________ |
| 832 | TF1* |
| 833 | AliForwardUtil::ELossFitter::FitNParticle(TH1* dist, UShort_t n, |
| 834 | Double_t sigman) |
| 835 | { |
| 7984e5f7 |
836 | // |
| 837 | // Fit a N-particle signal to the passed energy loss distribution |
| 838 | // |
| 839 | // If there's no 1-particle fit present, it does that first |
| 840 | // |
| 841 | // Parameters: |
| 842 | // dist Data to fit the function to |
| 843 | // n Number of particle signals to fit |
| 844 | // sigman If larger than zero, the initial guess of the |
| 845 | // detector induced noise. If zero or less, then this |
| 846 | // parameter is ignored in the fit (fixed at 0) |
| 847 | // |
| 848 | // Return: |
| 849 | // The function fitted to the data |
| 850 | // |
| 851 | |
| 7f759bb7 |
852 | // Get the seed fit result |
| 853 | TFitResult* r = static_cast<TFitResult*>(fFitResults.At(0)); |
| 854 | TF1* f = static_cast<TF1*>(fFunctions.At(0)); |
| 855 | if (!r || !f) { |
| 856 | f = Fit1Particle(dist, sigman); |
| 857 | r = static_cast<TFitResult*>(fFitResults.At(0)); |
| 858 | if (!r || !f) { |
| 859 | ::Warning("FitNLandau", "No first shot at landau fit"); |
| 860 | return 0; |
| 861 | } |
| 862 | } |
| 863 | |
| 864 | // Get some parameters from seed fit |
| c389303e |
865 | Double_t delta1 = r->Parameter(kDelta); |
| 866 | Double_t xi1 = r->Parameter(kXi); |
| 7f759bb7 |
867 | Double_t maxEi = n * (delta1 + xi1 * TMath::Log(n)) + 2 * n * xi1; |
| 868 | Double_t minE = f->GetXmin(); |
| 869 | |
| 0bd4b00f |
870 | // Array of weights |
| 871 | TArrayD a(n-1); |
| 872 | for (UShort_t i = 2; i <= n; i++) |
| 873 | a.fArray[i-2] = (n == 2 ? 0.05 : 0.000001); |
| 7f759bb7 |
874 | // Make the fit function |
| 0bd4b00f |
875 | TF1* landaun = MakeNLandauGaus(r->Parameter(kC), |
| 876 | r->Parameter(kDelta), |
| 877 | r->Parameter(kXi), |
| 878 | r->Parameter(kSigma), |
| 879 | r->Parameter(kSigmaN), |
| 880 | n,a.fArray,minE,maxEi); |
| c389303e |
881 | landaun->SetParLimits(kDelta, minE, fMaxRange); // Delta |
| 882 | landaun->SetParLimits(kXi, 0.00, fMaxRange); // xi |
| 883 | landaun->SetParLimits(kSigma, 0.01, 1); // sigma |
| 884 | // Check if we're using the noise sigma |
| 885 | if (sigman <= 0) landaun->FixParameter(kSigmaN, 0); |
| 886 | else landaun->SetParLimits(kSigmaN, 0, fMaxRange); |
| 7f759bb7 |
887 | |
| 888 | // Set the range and name of the scale parameters |
| 889 | for (UShort_t i = 2; i <= n; i++) {// Take parameters from last fit |
| c389303e |
890 | landaun->SetParLimits(kA+i-2, 0,1); |
| 7f759bb7 |
891 | } |
| 892 | |
| 893 | // Do the fit |
| 894 | TFitResultPtr tr = dist->Fit(landaun, "RSQN", "", minE, maxEi); |
| 895 | |
| c389303e |
896 | landaun->SetRange(minE, fMaxRange); |
| 7f759bb7 |
897 | fFitResults.AddAtAndExpand(new TFitResult(*tr), n-1); |
| 898 | fFunctions.AddAtAndExpand(landaun, n-1); |
| 899 | |
| 900 | return landaun; |
| 901 | } |
| 7e4038b5 |
902 | |
| 903 | //==================================================================== |
| 904 | AliForwardUtil::Histos::~Histos() |
| 905 | { |
| 7984e5f7 |
906 | // |
| 907 | // Destructor |
| 908 | // |
| 7e4038b5 |
909 | if (fFMD1i) delete fFMD1i; |
| 910 | if (fFMD2i) delete fFMD2i; |
| 911 | if (fFMD2o) delete fFMD2o; |
| 912 | if (fFMD3i) delete fFMD3i; |
| 913 | if (fFMD3o) delete fFMD3o; |
| 914 | } |
| 915 | |
| 916 | //____________________________________________________________________ |
| 917 | TH2D* |
| 918 | AliForwardUtil::Histos::Make(UShort_t d, Char_t r, |
| 919 | const TAxis& etaAxis) const |
| 920 | { |
| 7984e5f7 |
921 | // |
| 922 | // Make a histogram |
| 923 | // |
| 924 | // Parameters: |
| 925 | // d Detector |
| 926 | // r Ring |
| 927 | // etaAxis Eta axis to use |
| 928 | // |
| 929 | // Return: |
| 930 | // Newly allocated histogram |
| 931 | // |
| 7e4038b5 |
932 | Int_t ns = (r == 'I' || r == 'i') ? 20 : 40; |
| 933 | TH2D* hist = new TH2D(Form("FMD%d%c_cache", d, r), |
| 934 | Form("FMD%d%c cache", d, r), |
| 935 | etaAxis.GetNbins(), etaAxis.GetXmin(), |
| 936 | etaAxis.GetXmax(), ns, 0, 2*TMath::Pi()); |
| 937 | hist->SetXTitle("#eta"); |
| 938 | hist->SetYTitle("#phi [radians]"); |
| 939 | hist->SetZTitle("d^{2}N_{ch}/d#etad#phi"); |
| 940 | hist->Sumw2(); |
| 941 | hist->SetDirectory(0); |
| 942 | |
| 943 | return hist; |
| 944 | } |
| 945 | //____________________________________________________________________ |
| 946 | void |
| 947 | AliForwardUtil::Histos::Init(const TAxis& etaAxis) |
| 948 | { |
| 7984e5f7 |
949 | // |
| 950 | // Initialize the object |
| 951 | // |
| 952 | // Parameters: |
| 953 | // etaAxis Eta axis to use |
| 954 | // |
| 7e4038b5 |
955 | fFMD1i = Make(1, 'I', etaAxis); |
| 956 | fFMD2i = Make(2, 'I', etaAxis); |
| 957 | fFMD2o = Make(2, 'O', etaAxis); |
| 958 | fFMD3i = Make(3, 'I', etaAxis); |
| 959 | fFMD3o = Make(3, 'O', etaAxis); |
| 960 | } |
| 961 | //____________________________________________________________________ |
| 962 | void |
| 963 | AliForwardUtil::Histos::Clear(Option_t* option) |
| 964 | { |
| 7984e5f7 |
965 | // |
| 966 | // Clear data |
| 967 | // |
| 968 | // Parameters: |
| 969 | // option Not used |
| 970 | // |
| 422a78c8 |
971 | if (fFMD1i) fFMD1i->Reset(option); |
| 972 | if (fFMD2i) fFMD2i->Reset(option); |
| 973 | if (fFMD2o) fFMD2o->Reset(option); |
| 974 | if (fFMD3i) fFMD3i->Reset(option); |
| 975 | if (fFMD3o) fFMD3o->Reset(option); |
| 7e4038b5 |
976 | } |
| 977 | |
| 978 | //____________________________________________________________________ |
| 979 | TH2D* |
| 980 | AliForwardUtil::Histos::Get(UShort_t d, Char_t r) const |
| 981 | { |
| 7984e5f7 |
982 | // |
| 983 | // Get the histogram for a particular detector,ring |
| 984 | // |
| 985 | // Parameters: |
| 986 | // d Detector |
| 987 | // r Ring |
| 988 | // |
| 989 | // Return: |
| 990 | // Histogram for detector,ring or nul |
| 991 | // |
| 7e4038b5 |
992 | switch (d) { |
| 993 | case 1: return fFMD1i; |
| 994 | case 2: return (r == 'I' || r == 'i' ? fFMD2i : fFMD2o); |
| 995 | case 3: return (r == 'I' || r == 'i' ? fFMD3i : fFMD3o); |
| 996 | } |
| 997 | return 0; |
| 998 | } |
| 9d99b0dd |
999 | //==================================================================== |
| 1000 | TList* |
| 1001 | AliForwardUtil::RingHistos::DefineOutputList(TList* d) const |
| 1002 | { |
| 7984e5f7 |
1003 | // |
| 1004 | // Define the outout list in @a d |
| 1005 | // |
| 1006 | // Parameters: |
| 1007 | // d Where to put the output list |
| 1008 | // |
| 1009 | // Return: |
| 1010 | // Newly allocated TList object or null |
| 1011 | // |
| 9d99b0dd |
1012 | if (!d) return 0; |
| 1013 | TList* list = new TList; |
| 5bb5d1f6 |
1014 | list->SetOwner(); |
| 9d99b0dd |
1015 | list->SetName(fName.Data()); |
| 1016 | d->Add(list); |
| 1017 | return list; |
| 1018 | } |
| 1019 | //____________________________________________________________________ |
| 1020 | TList* |
| fb3430ac |
1021 | AliForwardUtil::RingHistos::GetOutputList(const TList* d) const |
| 9d99b0dd |
1022 | { |
| 7984e5f7 |
1023 | // |
| 1024 | // Get our output list from the container @a d |
| 1025 | // |
| 1026 | // Parameters: |
| 1027 | // d where to get the output list from |
| 1028 | // |
| 1029 | // Return: |
| 1030 | // The found TList or null |
| 1031 | // |
| 9d99b0dd |
1032 | if (!d) return 0; |
| 1033 | TList* list = static_cast<TList*>(d->FindObject(fName.Data())); |
| 1034 | return list; |
| 1035 | } |
| 1036 | |
| 1037 | //____________________________________________________________________ |
| 1038 | TH1* |
| fb3430ac |
1039 | AliForwardUtil::RingHistos::GetOutputHist(const TList* d, const char* name) const |
| 9d99b0dd |
1040 | { |
| 7984e5f7 |
1041 | // |
| 1042 | // Find a specific histogram in the source list @a d |
| 1043 | // |
| 1044 | // Parameters: |
| 1045 | // d (top)-container |
| 1046 | // name Name of histogram |
| 1047 | // |
| 1048 | // Return: |
| 1049 | // Found histogram or null |
| 1050 | // |
| 9d99b0dd |
1051 | return static_cast<TH1*>(d->FindObject(name)); |
| 1052 | } |
| 1053 | |
| f53fb4f6 |
1054 | //==================================================================== |
| 1055 | AliForwardUtil::DebugGuard::DebugGuard(Int_t lvl, Int_t msgLvl, |
| 1056 | const char* format, ...) |
| 1057 | : fMsg("") |
| 1058 | { |
| 1059 | if (lvl < msgLvl) return; |
| 1060 | va_list ap; |
| 1061 | va_start(ap, format); |
| 81a9a914 |
1062 | Format(fMsg, format, ap); |
| f53fb4f6 |
1063 | va_end(ap); |
| 81a9a914 |
1064 | Output(+1, fMsg); |
| f53fb4f6 |
1065 | } |
| 1066 | //____________________________________________________________________ |
| 1067 | AliForwardUtil::DebugGuard::~DebugGuard() |
| 1068 | { |
| 1069 | if (fMsg.IsNull()) return; |
| 81a9a914 |
1070 | Output(-1, fMsg); |
| 1071 | } |
| 1072 | //____________________________________________________________________ |
| 1073 | void |
| 1074 | AliForwardUtil::DebugGuard::Message(Int_t lvl, Int_t msgLvl, |
| 1075 | const char* format, ...) |
| 1076 | { |
| 1077 | if (lvl < msgLvl) return; |
| 1078 | TString msg; |
| 1079 | va_list ap; |
| 1080 | va_start(ap, format); |
| 1081 | Format(msg, format, ap); |
| 1082 | va_end(ap); |
| 1083 | Output(0, msg); |
| 1084 | } |
| 1085 | |
| 1086 | //____________________________________________________________________ |
| 1087 | void |
| 1088 | AliForwardUtil::DebugGuard::Format(TString& out, const char* format, va_list ap) |
| 1089 | { |
| 1090 | static char buf[512]; |
| 1091 | Int_t n = gROOT->GetDirLevel() + 2; |
| 1092 | for (Int_t i = 0; i < n; i++) buf[i] = ' '; |
| 1093 | vsnprintf(&(buf[n]), 511-n, format, ap); |
| 1094 | buf[511] = '\0'; |
| 1095 | out = buf; |
| f53fb4f6 |
1096 | } |
| 1097 | //____________________________________________________________________ |
| 1098 | void |
| 81a9a914 |
1099 | AliForwardUtil::DebugGuard::Output(int in, TString& msg) |
| f53fb4f6 |
1100 | { |
| 81a9a914 |
1101 | msg[0] = (in > 0 ? '>' : in < 0 ? '<' : '='); |
| 1102 | AliLog::Message(AliLog::kInfo, msg, 0, 0, "PWGLF/forward", 0, 0); |
| 1103 | if (in > 0) gROOT->IncreaseDirLevel(); |
| 1104 | else if (in < 0) gROOT->DecreaseDirLevel(); |
| f53fb4f6 |
1105 | } |
| 1106 | |
| 1107 | |
| 1108 | |
| 7e4038b5 |
1109 | // |
| 1110 | // EOF |
| 1111 | // |
git://git.uio.no / u / mrichter / AliRoot.git / blame