| 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; |
| d4d486f8 |
50 | if (s.Contains("a-p") || s.Contains("ap")) return AliForwardUtil::kPPb; |
| 0151a6c6 |
51 | if (s.Contains("p-p") || s.Contains("pp")) return AliForwardUtil::kPP; |
| 52 | if (s.Contains("pb-pb") || s.Contains("pbpb")) return AliForwardUtil::kPbPb; |
| 53 | if (s.Contains("a-a") || s.Contains("aa")) return AliForwardUtil::kPbPb; |
| 0bd4b00f |
54 | return AliForwardUtil::kUnknown; |
| 55 | } |
| 56 | //____________________________________________________________________ |
| 57 | const char* |
| 58 | AliForwardUtil::CollisionSystemString(UShort_t sys) |
| 59 | { |
| 7984e5f7 |
60 | // |
| 61 | // Get a string representation of the collision system |
| 62 | // |
| 63 | // Parameters: |
| 64 | // sys Collision system |
| 65 | // - kPP -> "pp" |
| 66 | // - kPbPb -> "PbPb" |
| 67 | // - anything else gives "unknown" |
| 68 | // |
| 69 | // Return: |
| 70 | // String representation of the collision system |
| 71 | // |
| 0bd4b00f |
72 | switch (sys) { |
| 73 | case AliForwardUtil::kPP: return "pp"; |
| 74 | case AliForwardUtil::kPbPb: return "PbPb"; |
| 0151a6c6 |
75 | case AliForwardUtil::kPPb: return "pPb"; |
| 0bd4b00f |
76 | } |
| 77 | return "unknown"; |
| 78 | } |
| 79 | //____________________________________________________________________ |
| 80 | UShort_t |
| cc83fca2 |
81 | AliForwardUtil::ParseCenterOfMassEnergy(UShort_t /* sys */, Float_t v) |
| 0bd4b00f |
82 | { |
| 7984e5f7 |
83 | // |
| 84 | // Parse the center of mass energy given as a float and return known |
| 85 | // values as a unsigned integer |
| 86 | // |
| 87 | // Parameters: |
| 88 | // sys Collision system (needed for AA) |
| 89 | // cms Center of mass energy * total charge |
| 90 | // |
| 91 | // Return: |
| 92 | // Center of mass energy per nucleon |
| 93 | // |
| 0bd4b00f |
94 | Float_t energy = v; |
| cc83fca2 |
95 | // Below no longer needed apparently |
| 96 | // if (sys == AliForwardUtil::kPbPb) energy = energy / 208 * 82; |
| 0bd4b00f |
97 | if (TMath::Abs(energy - 900.) < 10) return 900; |
| 98 | if (TMath::Abs(energy - 2400.) < 10) return 2400; |
| e58000b7 |
99 | if (TMath::Abs(energy - 2750.) < 20) return 2750; |
| 0151a6c6 |
100 | if (TMath::Abs(energy - 4400.) < 10) return 4400; |
| d4d486f8 |
101 | if (TMath::Abs(energy - 5022.) < 10) return 5000; |
| 0bd4b00f |
102 | if (TMath::Abs(energy - 5500.) < 40) return 5500; |
| 103 | if (TMath::Abs(energy - 7000.) < 10) return 7000; |
| 4bcdcbc1 |
104 | if (TMath::Abs(energy - 8000.) < 10) return 8000; |
| 0bd4b00f |
105 | if (TMath::Abs(energy - 10000.) < 10) return 10000; |
| 106 | if (TMath::Abs(energy - 14000.) < 10) return 14000; |
| 107 | return 0; |
| 108 | } |
| 109 | //____________________________________________________________________ |
| 110 | const char* |
| 111 | AliForwardUtil::CenterOfMassEnergyString(UShort_t cms) |
| 112 | { |
| 7984e5f7 |
113 | // |
| 114 | // Get a string representation of the center of mass energy per nuclean |
| 115 | // |
| 116 | // Parameters: |
| 117 | // cms Center of mass energy per nucleon |
| 118 | // |
| 119 | // Return: |
| 120 | // String representation of the center of mass energy per nuclean |
| 121 | // |
| 0bd4b00f |
122 | return Form("%04dGeV", cms); |
| 123 | } |
| 124 | //____________________________________________________________________ |
| 125 | Short_t |
| 126 | AliForwardUtil::ParseMagneticField(Float_t v) |
| 127 | { |
| 7984e5f7 |
128 | // |
| 129 | // Parse the magnetic field (in kG) as given by a floating point number |
| 130 | // |
| 131 | // Parameters: |
| 132 | // field Magnetic field in kG |
| 133 | // |
| 134 | // Return: |
| 135 | // Short integer value of magnetic field in kG |
| 136 | // |
| 0bd4b00f |
137 | if (TMath::Abs(v - 5.) < 1 ) return +5; |
| 138 | if (TMath::Abs(v + 5.) < 1 ) return -5; |
| 139 | if (TMath::Abs(v) < 1) return 0; |
| 140 | return 999; |
| 141 | } |
| 142 | //____________________________________________________________________ |
| 143 | const char* |
| 144 | AliForwardUtil::MagneticFieldString(Short_t f) |
| 145 | { |
| 7984e5f7 |
146 | // |
| 147 | // Get a string representation of the magnetic field |
| 148 | // |
| 149 | // Parameters: |
| 150 | // field Magnetic field in kG |
| 151 | // |
| 152 | // Return: |
| 153 | // String representation of the magnetic field |
| 154 | // |
| 0bd4b00f |
155 | return Form("%01dkG", f); |
| 156 | } |
| 290052e7 |
157 | //_____________________________________________________________________ |
| 158 | AliAODEvent* AliForwardUtil::GetAODEvent(AliAnalysisTaskSE* task) |
| 159 | { |
| 160 | // Check if AOD is the output event |
| 576472c1 |
161 | if (!task) ::Fatal("GetAODEvent", "Null task given, cannot do that"); |
| 162 | |
| 290052e7 |
163 | AliAODEvent* ret = task->AODEvent(); |
| 164 | if (ret) return ret; |
| 165 | |
| 166 | // Check if AOD is the input event |
| 167 | ret = dynamic_cast<AliAODEvent*>(task->InputEvent()); |
| 168 | if (!ret) ::Warning("GetAODEvent", "No AOD event found"); |
| 169 | |
| 170 | return ret; |
| 171 | } |
| 172 | //_____________________________________________________________________ |
| 173 | UShort_t AliForwardUtil::CheckForAOD() |
| 174 | { |
| 175 | AliAnalysisManager* am = AliAnalysisManager::GetAnalysisManager(); |
| 176 | if (dynamic_cast<AliAODInputHandler*>(am->GetInputEventHandler())) { |
| 177 | ::Info("CheckForAOD", "Found AOD Input handler"); |
| 178 | return 1; |
| 179 | } |
| 180 | if (dynamic_cast<AliAODHandler*>(am->GetOutputEventHandler())) { |
| 181 | ::Info("CheckForAOD", "Found AOD Output handler"); |
| 182 | return 2; |
| 183 | } |
| 184 | |
| 185 | ::Warning("CheckForAOD", |
| 186 | "Neither and input nor output AOD handler is specified"); |
| 187 | return 0; |
| 188 | } |
| 189 | //_____________________________________________________________________ |
| 190 | Bool_t AliForwardUtil::CheckForTask(const char* clsOrName, Bool_t cls) |
| 191 | { |
| 192 | AliAnalysisManager* am = AliAnalysisManager::GetAnalysisManager(); |
| 193 | if (!cls) { |
| 194 | AliAnalysisTask* t = am->GetTask(clsOrName); |
| 195 | if (!t) { |
| 196 | ::Warning("CheckForTask", "Task %s not found in manager", clsOrName); |
| 197 | return false; |
| 198 | } |
| 199 | ::Info("CheckForTask", "Found task %s", clsOrName); |
| 200 | return true; |
| 201 | } |
| 202 | TClass* dep = gROOT->GetClass(clsOrName); |
| 203 | if (!dep) { |
| 204 | ::Warning("CheckForTask", "Unknown class %s for needed task", clsOrName); |
| 205 | return false; |
| 206 | } |
| 207 | TIter next(am->GetTasks()); |
| 208 | TObject* o = 0; |
| 209 | while ((o = next())) { |
| 210 | if (o->IsA()->InheritsFrom(dep)) { |
| 211 | ::Info("CheckForTask", "Found task of class %s: %s", |
| 212 | clsOrName, o->GetName()); |
| 213 | return true; |
| 214 | } |
| 215 | } |
| 216 | ::Warning("CheckForTask", "No task of class %s was found", clsOrName); |
| 217 | return false; |
| 218 | } |
| 219 | |
| 241cca4d |
220 | //_____________________________________________________________________ |
| 221 | TObject* AliForwardUtil::MakeParameter(const Char_t* name, UShort_t value) |
| 222 | { |
| 223 | TParameter<int>* ret = new TParameter<int>(name, value); |
| 224 | ret->SetUniqueID(value); |
| 225 | return ret; |
| 226 | } |
| 227 | //_____________________________________________________________________ |
| 228 | TObject* AliForwardUtil::MakeParameter(const Char_t* name, Int_t value) |
| 229 | { |
| 230 | TParameter<int>* ret = new TParameter<int>(name, value); |
| 231 | ret->SetUniqueID(value); |
| 232 | return ret; |
| 233 | } |
| 234 | //_____________________________________________________________________ |
| 235 | TObject* AliForwardUtil::MakeParameter(const Char_t* name, Double_t value) |
| 236 | { |
| 237 | TParameter<double>* ret = new TParameter<double>(name, value); |
| 238 | Float_t v = value; |
| 239 | ret->SetUniqueID(*reinterpret_cast<UInt_t*>(&v)); |
| 240 | return ret; |
| 241 | } |
| 242 | //_____________________________________________________________________ |
| 243 | TObject* AliForwardUtil::MakeParameter(const Char_t* name, Bool_t value) |
| 244 | { |
| 245 | TParameter<bool>* ret = new TParameter<bool>(name, value); |
| 246 | ret->SetUniqueID(value); |
| 247 | return ret; |
| 248 | } |
| 249 | |
| 250 | //_____________________________________________________________________ |
| 251 | void AliForwardUtil::GetParameter(TObject* o, UShort_t& value) |
| 252 | { |
| 253 | if (!o) return; |
| 254 | value = o->GetUniqueID(); |
| 255 | } |
| 256 | //_____________________________________________________________________ |
| 257 | void AliForwardUtil::GetParameter(TObject* o, Int_t& value) |
| 258 | { |
| 259 | if (!o) return; |
| 260 | value = o->GetUniqueID(); |
| 261 | } |
| 262 | //_____________________________________________________________________ |
| 263 | void AliForwardUtil::GetParameter(TObject* o, Double_t& value) |
| 264 | { |
| 265 | if (!o) return; |
| 266 | UInt_t i = o->GetUniqueID(); |
| 267 | Float_t v = *reinterpret_cast<Float_t*>(&i); |
| 268 | value = v; |
| 269 | } |
| 270 | //_____________________________________________________________________ |
| 271 | void AliForwardUtil::GetParameter(TObject* o, Bool_t& value) |
| 272 | { |
| 273 | if (!o) return; |
| 274 | value = o->GetUniqueID(); |
| 275 | } |
| 290052e7 |
276 | |
| 6f4a5c0d |
277 | //_____________________________________________________________________ |
| 278 | Double_t AliForwardUtil::GetEtaFromStrip(UShort_t det, Char_t ring, UShort_t sec, UShort_t strip, Double_t zvtx) |
| 279 | { |
| 280 | //Calculate eta from strip with vertex (redundant with AliESDFMD::Eta but support displaced vertices) |
| 281 | |
| 282 | //Get max R of ring |
| 283 | Double_t maxR = 0; |
| 284 | Double_t minR = 0; |
| 285 | Bool_t inner = false; |
| 286 | switch (ring) { |
| 287 | case 'i': case 'I': maxR = 17.2; minR = 4.5213; inner = true; break; |
| 288 | case 'o': case 'O': maxR = 28.0; minR = 15.4; inner = false; break; |
| 289 | default: |
| 290 | return -99999; |
| 291 | } |
| 292 | |
| 293 | Double_t rad = maxR- minR; |
| 294 | Double_t nStrips = (ring == 'I' ? 512 : 256); |
| 295 | Double_t segment = rad / nStrips; |
| 296 | Double_t r = minR + segment*strip; |
| 297 | Int_t hybrid = sec / 2; |
| 298 | |
| 299 | Double_t z = 0; |
| 300 | switch (det) { |
| 301 | case 1: z = 320.266; break; |
| 302 | case 2: z = (inner ? 83.666 : 74.966); break; |
| 303 | case 3: z = (inner ? -63.066 : -74.966); break; |
| 304 | default: return -999999; |
| 305 | } |
| 306 | if ((hybrid % 2) == 0) z -= .5; |
| 307 | |
| 308 | Double_t theta = TMath::ATan2(r,z-zvtx); |
| 309 | Double_t eta = -1*TMath::Log(TMath::Tan(0.5*theta)); |
| 310 | |
| 311 | return eta; |
| 312 | } |
| 0bd4b00f |
313 | |
| 314 | |
| 7f759bb7 |
315 | //==================================================================== |
| 316 | Int_t AliForwardUtil::fgConvolutionSteps = 100; |
| 317 | Double_t AliForwardUtil::fgConvolutionNSigma = 5; |
| 318 | namespace { |
| 7984e5f7 |
319 | // |
| 320 | // The shift of the most probable value for the ROOT function TMath::Landau |
| 321 | // |
| 7f759bb7 |
322 | const Double_t mpshift = -0.22278298; |
| 7984e5f7 |
323 | // |
| 324 | // Integration normalisation |
| 325 | // |
| 7f759bb7 |
326 | const Double_t invSq2pi = 1. / TMath::Sqrt(2*TMath::Pi()); |
| 327 | |
| 7984e5f7 |
328 | // |
| 329 | // Utility function to use in TF1 defintition |
| 330 | // |
| 7f759bb7 |
331 | Double_t landauGaus1(Double_t* xp, Double_t* pp) |
| 332 | { |
| 333 | Double_t x = xp[0]; |
| c389303e |
334 | Double_t constant = pp[AliForwardUtil::ELossFitter::kC]; |
| 335 | Double_t delta = pp[AliForwardUtil::ELossFitter::kDelta]; |
| 336 | Double_t xi = pp[AliForwardUtil::ELossFitter::kXi]; |
| 337 | Double_t sigma = pp[AliForwardUtil::ELossFitter::kSigma]; |
| 1174780f |
338 | Double_t sigmaN = pp[AliForwardUtil::ELossFitter::kSigmaN]; |
| 7f759bb7 |
339 | |
| 1174780f |
340 | return constant * AliForwardUtil::LandauGaus(x, delta, xi, sigma, sigmaN); |
| 7f759bb7 |
341 | } |
| 342 | |
| 7984e5f7 |
343 | // |
| 344 | // Utility function to use in TF1 defintition |
| 345 | // |
| 7f759bb7 |
346 | Double_t landauGausN(Double_t* xp, Double_t* pp) |
| 347 | { |
| 348 | Double_t x = xp[0]; |
| c389303e |
349 | Double_t constant = pp[AliForwardUtil::ELossFitter::kC]; |
| 350 | Double_t delta = pp[AliForwardUtil::ELossFitter::kDelta]; |
| 351 | Double_t xi = pp[AliForwardUtil::ELossFitter::kXi]; |
| 352 | Double_t sigma = pp[AliForwardUtil::ELossFitter::kSigma]; |
| 1174780f |
353 | Double_t sigmaN = pp[AliForwardUtil::ELossFitter::kSigmaN]; |
| c389303e |
354 | Int_t n = Int_t(pp[AliForwardUtil::ELossFitter::kN]); |
| 355 | Double_t* a = &(pp[AliForwardUtil::ELossFitter::kA]); |
| 7f759bb7 |
356 | |
| 1174780f |
357 | return constant * AliForwardUtil::NLandauGaus(x, delta, xi, sigma, sigmaN, |
| 7f759bb7 |
358 | n, a); |
| 359 | } |
| 7984e5f7 |
360 | // |
| 361 | // Utility function to use in TF1 defintition |
| 362 | // |
| 0bd4b00f |
363 | Double_t landauGausI(Double_t* xp, Double_t* pp) |
| 364 | { |
| 365 | Double_t x = xp[0]; |
| 366 | Double_t constant = pp[AliForwardUtil::ELossFitter::kC]; |
| 367 | Double_t delta = pp[AliForwardUtil::ELossFitter::kDelta]; |
| 368 | Double_t xi = pp[AliForwardUtil::ELossFitter::kXi]; |
| 369 | Double_t sigma = pp[AliForwardUtil::ELossFitter::kSigma]; |
| 1174780f |
370 | Double_t sigmaN = pp[AliForwardUtil::ELossFitter::kSigmaN]; |
| 0bd4b00f |
371 | Int_t i = Int_t(pp[AliForwardUtil::ELossFitter::kN]); |
| 372 | |
| 1174780f |
373 | return constant * AliForwardUtil::ILandauGaus(x,delta,xi,sigma,sigmaN,i); |
| 0bd4b00f |
374 | } |
| 7f759bb7 |
375 | |
| 376 | |
| 377 | } |
| 378 | //____________________________________________________________________ |
| 379 | Double_t |
| 380 | AliForwardUtil::Landau(Double_t x, Double_t delta, Double_t xi) |
| 381 | { |
| 7984e5f7 |
382 | // |
| 383 | // Calculate the shifted Landau |
| 384 | // @f[ |
| 385 | // f'_{L}(x;\Delta,\xi) = f_L(x;\Delta+0.22278298\xi) |
| 386 | // @f] |
| 387 | // |
| 388 | // where @f$ f_{L}@f$ is the ROOT implementation of the Landau |
| 389 | // distribution (known to have @f$ \Delta_{p}=-0.22278298@f$ for |
| 390 | // @f$\Delta=0,\xi=1@f$. |
| 391 | // |
| 392 | // Parameters: |
| 393 | // x Where to evaluate @f$ f'_{L}@f$ |
| 394 | // delta Most probable value |
| 395 | // xi The 'width' of the distribution |
| 396 | // |
| 397 | // Return: |
| 398 | // @f$ f'_{L}(x;\Delta,\xi) @f$ |
| 399 | // |
| 7f759bb7 |
400 | return TMath::Landau(x, delta - xi * mpshift, xi); |
| 401 | } |
| 402 | //____________________________________________________________________ |
| 403 | Double_t |
| 404 | AliForwardUtil::LandauGaus(Double_t x, Double_t delta, Double_t xi, |
| 1174780f |
405 | Double_t sigma, Double_t sigmaN) |
| 7f759bb7 |
406 | { |
| 7984e5f7 |
407 | // |
| 408 | // Calculate the value of a Landau convolved with a Gaussian |
| 409 | // |
| 410 | // @f[ |
| 411 | // f(x;\Delta,\xi,\sigma') = \frac{1}{\sigma' \sqrt{2 \pi}} |
| 412 | // \int_{-\infty}^{+\infty} d\Delta' f'_{L}(x;\Delta',\xi) |
| 413 | // \exp{-\frac{(\Delta-\Delta')^2}{2\sigma'^2}} |
| 414 | // @f] |
| 415 | // |
| 416 | // where @f$ f'_{L}@f$ is the Landau distribution, @f$ \Delta@f$ the |
| 417 | // energy loss, @f$ \xi@f$ the width of the Landau, and |
| 418 | // @f$ \sigma'^2=\sigma^2-\sigma_n^2 @f$. Here, @f$\sigma@f$ is the |
| 419 | // variance of the Gaussian, and @f$\sigma_n@f$ is a parameter modelling |
| 420 | // noise in the detector. |
| 421 | // |
| 422 | // Note that this function uses the constants fgConvolutionSteps and |
| 423 | // fgConvolutionNSigma |
| 424 | // |
| 425 | // References: |
| 426 | // - <a href="http://dx.doi.org/10.1016/0168-583X(84)90472-5">Nucl.Instrum.Meth.B1:16</a> |
| 427 | // - <a href="http://dx.doi.org/10.1103/PhysRevA.28.615">Phys.Rev.A28:615</a> |
| 428 | // - <a href="http://root.cern.ch/root/htmldoc/tutorials/fit/langaus.C.html">ROOT implementation</a> |
| 429 | // |
| 430 | // Parameters: |
| 431 | // x where to evaluate @f$ f@f$ |
| 432 | // delta @f$ \Delta@f$ of @f$ f(x;\Delta,\xi,\sigma')@f$ |
| 433 | // xi @f$ \xi@f$ of @f$ f(x;\Delta,\xi,\sigma')@f$ |
| 434 | // sigma @f$ \sigma@f$ of @f$\sigma'^2=\sigma^2-\sigma_n^2 @f$ |
| 435 | // sigma_n @f$ \sigma_n@f$ of @f$\sigma'^2=\sigma^2-\sigma_n^2 @f$ |
| 436 | // |
| 437 | // Return: |
| 438 | // @f$ f@f$ evaluated at @f$ x@f$. |
| 439 | // |
| 7f759bb7 |
440 | Double_t deltap = delta - xi * mpshift; |
| 1174780f |
441 | Double_t sigma2 = sigmaN*sigmaN + sigma*sigma; |
| 442 | Double_t sigma1 = sigmaN == 0 ? sigma : TMath::Sqrt(sigma2); |
| 7f759bb7 |
443 | Double_t xlow = x - fgConvolutionNSigma * sigma1; |
| c389303e |
444 | Double_t xhigh = x + fgConvolutionNSigma * sigma1; |
| 7f759bb7 |
445 | Double_t step = (xhigh - xlow) / fgConvolutionSteps; |
| 446 | Double_t sum = 0; |
| 447 | |
| 448 | for (Int_t i = 0; i <= fgConvolutionSteps/2; i++) { |
| c389303e |
449 | Double_t x1 = xlow + (i - .5) * step; |
| 450 | Double_t x2 = xhigh - (i - .5) * step; |
| 7f759bb7 |
451 | |
| 452 | sum += TMath::Landau(x1, deltap, xi, kTRUE) * TMath::Gaus(x, x1, sigma1); |
| 453 | sum += TMath::Landau(x2, deltap, xi, kTRUE) * TMath::Gaus(x, x2, sigma1); |
| 454 | } |
| 455 | return step * sum * invSq2pi / sigma1; |
| 456 | } |
| 457 | |
| 0bd4b00f |
458 | //____________________________________________________________________ |
| 459 | Double_t |
| 460 | AliForwardUtil::ILandauGaus(Double_t x, Double_t delta, Double_t xi, |
| 1174780f |
461 | Double_t sigma, Double_t sigmaN, Int_t i) |
| 0bd4b00f |
462 | { |
| 7984e5f7 |
463 | // |
| 464 | // Evaluate |
| 465 | // @f[ |
| 466 | // f_i(x;\Delta,\xi,\sigma') = f(x;\Delta_i,\xi_i,\sigma_i') |
| 467 | // @f] |
| 468 | // corresponding to @f$ i@f$ particles i.e., with the substitutions |
| 469 | // @f{eqnarray*}{ |
| 470 | // \Delta \rightarrow \Delta_i &=& i(\Delta + \xi\log(i)) |
| 471 | // \xi \rightarrow \xi_i &=& i \xi |
| 472 | // \sigma \rightarrow \sigma_i &=& \sqrt{i}\sigma |
| 473 | // \sigma'^2 \rightarrow \sigma_i'^2 &=& \sigma_n^2 + \sigma_i^2 |
| 474 | // @f} |
| 475 | // |
| 476 | // Parameters: |
| 477 | // x Where to evaluate |
| 478 | // delta @f$ \Delta@f$ |
| 479 | // xi @f$ \xi@f$ |
| 480 | // sigma @f$ \sigma@f$ |
| 481 | // sigma_n @f$ \sigma_n@f$ |
| 482 | // i @f$ i @f$ |
| 483 | // |
| 484 | // Return: |
| 485 | // @f$ f_i @f$ evaluated |
| 486 | // |
| 1174780f |
487 | Double_t deltaI = (i == 1 ? delta : i * (delta + xi * TMath::Log(i))); |
| 488 | Double_t xiI = i * xi; |
| 489 | Double_t sigmaI = (i == 1 ? sigma : TMath::Sqrt(Double_t(i))*sigma); |
| 490 | if (sigmaI < 1e-10) { |
| 0bd4b00f |
491 | // Fall back to landau |
| 1174780f |
492 | return AliForwardUtil::Landau(x, deltaI, xiI); |
| 0bd4b00f |
493 | } |
| 1174780f |
494 | return AliForwardUtil::LandauGaus(x, deltaI, xiI, sigmaI, sigmaN); |
| 0bd4b00f |
495 | } |
| 496 | |
| 497 | //____________________________________________________________________ |
| 498 | Double_t |
| 499 | AliForwardUtil::IdLandauGausdPar(Double_t x, |
| 500 | UShort_t par, Double_t dPar, |
| 501 | Double_t delta, Double_t xi, |
| 1174780f |
502 | Double_t sigma, Double_t sigmaN, |
| 0bd4b00f |
503 | Int_t i) |
| 504 | { |
| 7984e5f7 |
505 | // |
| 506 | // Numerically evaluate |
| 507 | // @f[ |
| 508 | // \left.\frac{\partial f_i}{\partial p_i}\right|_{x} |
| 509 | // @f] |
| 510 | // where @f$ p_i@f$ is the @f$ i^{\mbox{th}}@f$ parameter. The mapping |
| 511 | // of the parameters is given by |
| 512 | // |
| 513 | // - 0: @f$\Delta@f$ |
| 514 | // - 1: @f$\xi@f$ |
| 515 | // - 2: @f$\sigma@f$ |
| 516 | // - 3: @f$\sigma_n@f$ |
| 517 | // |
| 518 | // This is the partial derivative with respect to the parameter of |
| 519 | // the response function corresponding to @f$ i@f$ particles i.e., |
| 520 | // with the substitutions |
| 521 | // @f[ |
| 522 | // \Delta \rightarrow \Delta_i = i(\Delta + \xi\log(i)) |
| 523 | // \xi \rightarrow \xi_i = i \xi |
| 524 | // \sigma \rightarrow \sigma_i = \sqrt{i}\sigma |
| 525 | // \sigma'^2 \rightarrow \sigma_i'^2 = \sigma_n^2 + \sigma_i^2 |
| 526 | // @f] |
| 527 | // |
| 528 | // Parameters: |
| 529 | // x Where to evaluate |
| 530 | // ipar Parameter number |
| 531 | // dp @f$ \epsilon\delta p_i@f$ for some value of @f$\epsilon@f$ |
| 532 | // delta @f$ \Delta@f$ |
| 533 | // xi @f$ \xi@f$ |
| 534 | // sigma @f$ \sigma@f$ |
| 535 | // sigma_n @f$ \sigma_n@f$ |
| 536 | // i @f$ i@f$ |
| 537 | // |
| 538 | // Return: |
| 539 | // @f$ f_i@f$ evaluated |
| 540 | // |
| 0bd4b00f |
541 | if (dPar == 0) return 0; |
| 542 | Double_t dp = dPar; |
| 543 | Double_t d2 = dPar / 2; |
| 1174780f |
544 | Double_t deltaI = i * (delta + xi * TMath::Log(i)); |
| 545 | Double_t xiI = i * xi; |
| 0bd4b00f |
546 | Double_t si = TMath::Sqrt(Double_t(i)); |
| 1174780f |
547 | Double_t sigmaI = si*sigma; |
| 0bd4b00f |
548 | Double_t y1 = 0; |
| 549 | Double_t y2 = 0; |
| 550 | Double_t y3 = 0; |
| 551 | Double_t y4 = 0; |
| 552 | switch (par) { |
| 553 | case 0: |
| 1174780f |
554 | y1 = ILandauGaus(x, deltaI+i*dp, xiI, sigmaI, sigmaN, i); |
| 555 | y2 = ILandauGaus(x, deltaI+i*d2, xiI, sigmaI, sigmaN, i); |
| 556 | y3 = ILandauGaus(x, deltaI-i*d2, xiI, sigmaI, sigmaN, i); |
| 557 | y4 = ILandauGaus(x, deltaI-i*dp, xiI, sigmaI, sigmaN, i); |
| 0bd4b00f |
558 | break; |
| 559 | case 1: |
| 1174780f |
560 | y1 = ILandauGaus(x, deltaI, xiI+i*dp, sigmaI, sigmaN, i); |
| 561 | y2 = ILandauGaus(x, deltaI, xiI+i*d2, sigmaI, sigmaN, i); |
| 562 | y3 = ILandauGaus(x, deltaI, xiI-i*d2, sigmaI, sigmaN, i); |
| 563 | y4 = ILandauGaus(x, deltaI, xiI-i*dp, sigmaI, sigmaN, i); |
| 0bd4b00f |
564 | break; |
| 565 | case 2: |
| 1174780f |
566 | y1 = ILandauGaus(x, deltaI, xiI, sigmaI+si*dp, sigmaN, i); |
| 567 | y2 = ILandauGaus(x, deltaI, xiI, sigmaI+si*d2, sigmaN, i); |
| 568 | y3 = ILandauGaus(x, deltaI, xiI, sigmaI-si*d2, sigmaN, i); |
| 569 | y4 = ILandauGaus(x, deltaI, xiI, sigmaI-si*dp, sigmaN, i); |
| 0bd4b00f |
570 | break; |
| 571 | case 3: |
| 1174780f |
572 | y1 = ILandauGaus(x, deltaI, xiI, sigmaI, sigmaN+dp, i); |
| 573 | y2 = ILandauGaus(x, deltaI, xiI, sigmaI, sigmaN+d2, i); |
| 574 | y3 = ILandauGaus(x, deltaI, xiI, sigmaI, sigmaN-d2, i); |
| 575 | y4 = ILandauGaus(x, deltaI, xiI, sigmaI, sigmaN-dp, i); |
| 0bd4b00f |
576 | break; |
| 577 | default: |
| 578 | return 0; |
| 579 | } |
| 580 | |
| 581 | Double_t d0 = y1 - y4; |
| 582 | Double_t d1 = 2 * (y2 - y3); |
| 583 | |
| 584 | Double_t g = 1/(2*dp) * (4*d1 - d0) / 3; |
| 585 | |
| 586 | return g; |
| 587 | } |
| 588 | |
| 7f759bb7 |
589 | //____________________________________________________________________ |
| 590 | Double_t |
| 591 | AliForwardUtil::NLandauGaus(Double_t x, Double_t delta, Double_t xi, |
| 1174780f |
592 | Double_t sigma, Double_t sigmaN, Int_t n, |
| fb3430ac |
593 | const Double_t* a) |
| 7f759bb7 |
594 | { |
| 7984e5f7 |
595 | // |
| 596 | // Evaluate |
| 597 | // @f[ |
| 598 | // f_N(x;\Delta,\xi,\sigma') = \sum_{i=1}^N a_i f_i(x;\Delta,\xi,\sigma'a) |
| 599 | // @f] |
| 600 | // |
| 601 | // where @f$ f(x;\Delta,\xi,\sigma')@f$ is the convolution of a |
| 602 | // Landau with a Gaussian (see LandauGaus). Note that |
| 603 | // @f$ a_1 = 1@f$, @f$\Delta_i = i(\Delta_1 + \xi\log(i))@f$, |
| 604 | // @f$\xi_i=i\xi_1@f$, and @f$\sigma_i'^2 = \sigma_n^2 + i\sigma_1^2@f$. |
| 605 | // |
| 606 | // References: |
| 607 | // - <a href="http://dx.doi.org/10.1016/0168-583X(84)90472-5">Nucl.Instrum.Meth.B1:16</a> |
| 608 | // - <a href="http://dx.doi.org/10.1103/PhysRevA.28.615">Phys.Rev.A28:615</a> |
| 609 | // - <a href="http://root.cern.ch/root/htmldoc/tutorials/fit/langaus.C.html">ROOT implementation</a> |
| 610 | // |
| 611 | // Parameters: |
| 612 | // x Where to evaluate @f$ f_N@f$ |
| 613 | // delta @f$ \Delta_1@f$ |
| 614 | // xi @f$ \xi_1@f$ |
| 615 | // sigma @f$ \sigma_1@f$ |
| 616 | // sigma_n @f$ \sigma_n@f$ |
| 617 | // n @f$ N@f$ in the sum above. |
| 618 | // a Array of size @f$ N-1@f$ of the weights @f$ a_i@f$ for |
| 619 | // @f$ i > 1@f$ |
| 620 | // |
| 621 | // Return: |
| 622 | // @f$ f_N(x;\Delta,\xi,\sigma')@f$ |
| 623 | // |
| 1174780f |
624 | Double_t result = ILandauGaus(x, delta, xi, sigma, sigmaN, 1); |
| 0bd4b00f |
625 | for (Int_t i = 2; i <= n; i++) |
| 1174780f |
626 | result += a[i-2] * AliForwardUtil::ILandauGaus(x,delta,xi,sigma,sigmaN,i); |
| 7f759bb7 |
627 | return result; |
| 628 | } |
| 0bd4b00f |
629 | namespace { |
| 630 | const Int_t kColors[] = { kRed+1, |
| 631 | kPink+3, |
| 632 | kMagenta+2, |
| 633 | kViolet+2, |
| 634 | kBlue+1, |
| 635 | kAzure+3, |
| 636 | kCyan+1, |
| 637 | kTeal+2, |
| 638 | kGreen+2, |
| 639 | kSpring+3, |
| 640 | kYellow+2, |
| 641 | kOrange+2 }; |
| 642 | } |
| 643 | |
| 644 | //____________________________________________________________________ |
| 645 | TF1* |
| 646 | AliForwardUtil::MakeNLandauGaus(Double_t c, |
| 647 | Double_t delta, Double_t xi, |
| 1174780f |
648 | Double_t sigma, Double_t sigmaN, Int_t n, |
| fb3430ac |
649 | const Double_t* a, |
| 0bd4b00f |
650 | Double_t xmin, Double_t xmax) |
| 651 | { |
| 7984e5f7 |
652 | // |
| 653 | // Generate a TF1 object of @f$ f_N@f$ |
| 654 | // |
| 655 | // Parameters: |
| 656 | // c Constant |
| 657 | // delta @f$ \Delta@f$ |
| 658 | // xi @f$ \xi_1@f$ |
| 659 | // sigma @f$ \sigma_1@f$ |
| 660 | // sigma_n @f$ \sigma_n@f$ |
| 661 | // n @f$ N@f$ - how many particles to sum to |
| 662 | // a Array of size @f$ N-1@f$ of the weights @f$ a_i@f$ for |
| 663 | // @f$ i > 1@f$ |
| 664 | // xmin Least value of range |
| 665 | // xmax Largest value of range |
| 666 | // |
| 667 | // Return: |
| 668 | // Newly allocated TF1 object |
| 669 | // |
| 0bd4b00f |
670 | Int_t npar = AliForwardUtil::ELossFitter::kN+n; |
| 671 | TF1* landaun = new TF1(Form("nlandau%d", n), &landauGausN,xmin,xmax,npar); |
| 672 | // landaun->SetLineStyle(((n-2) % 10)+2); // start at dashed |
| 673 | landaun->SetLineColor(kColors[((n-1) % 12)]); // start at red |
| 674 | landaun->SetLineWidth(2); |
| 675 | landaun->SetNpx(500); |
| 676 | landaun->SetParNames("C","#Delta_{p}","#xi", "#sigma", "#sigma_{n}", "N"); |
| 677 | |
| 678 | // Set the initial parameters from the seed fit |
| 679 | landaun->SetParameter(AliForwardUtil::ELossFitter::kC, c); |
| 680 | landaun->SetParameter(AliForwardUtil::ELossFitter::kDelta, delta); |
| 681 | landaun->SetParameter(AliForwardUtil::ELossFitter::kXi, xi); |
| 682 | landaun->SetParameter(AliForwardUtil::ELossFitter::kSigma, sigma); |
| 1174780f |
683 | landaun->SetParameter(AliForwardUtil::ELossFitter::kSigmaN, sigmaN); |
| 0bd4b00f |
684 | landaun->FixParameter(AliForwardUtil::ELossFitter::kN, n); |
| 685 | |
| 686 | // Set the range and name of the scale parameters |
| 687 | for (UShort_t i = 2; i <= n; i++) {// Take parameters from last fit |
| 688 | landaun->SetParameter(AliForwardUtil::ELossFitter::kA+i-2, a[i-2]); |
| 689 | landaun->SetParName(AliForwardUtil::ELossFitter::kA+i-2, Form("a_{%d}", i)); |
| 690 | } |
| 691 | return landaun; |
| 692 | } |
| 693 | //____________________________________________________________________ |
| 694 | TF1* |
| 695 | AliForwardUtil::MakeILandauGaus(Double_t c, |
| 696 | Double_t delta, Double_t xi, |
| 1174780f |
697 | Double_t sigma, Double_t sigmaN, Int_t i, |
| 0bd4b00f |
698 | Double_t xmin, Double_t xmax) |
| 699 | { |
| 7984e5f7 |
700 | // |
| 701 | // Generate a TF1 object of @f$ f_I@f$ |
| 702 | // |
| 703 | // Parameters: |
| 704 | // c Constant |
| 705 | // delta @f$ \Delta@f$ |
| 706 | // xi @f$ \xi_1@f$ |
| 707 | // sigma @f$ \sigma_1@f$ |
| 708 | // sigma_n @f$ \sigma_n@f$ |
| 709 | // i @f$ i@f$ - the number of particles |
| 710 | // xmin Least value of range |
| 711 | // xmax Largest value of range |
| 712 | // |
| 713 | // Return: |
| 714 | // Newly allocated TF1 object |
| 715 | // |
| 0bd4b00f |
716 | Int_t npar = AliForwardUtil::ELossFitter::kN+1; |
| 717 | TF1* landaui = new TF1(Form("ilandau%d", i), &landauGausI,xmin,xmax,npar); |
| 718 | // landaui->SetLineStyle(((i-2) % 10)+2); // start at dashed |
| 719 | landaui->SetLineColor(kColors[((i-1) % 12)]); // start at red |
| 720 | landaui->SetLineWidth(1); |
| 721 | landaui->SetNpx(500); |
| 722 | landaui->SetParNames("C","#Delta_{p}","#xi", "#sigma", "#sigma_{n}", "i"); |
| 723 | |
| 724 | // Set the initial parameters from the seed fit |
| 725 | landaui->SetParameter(AliForwardUtil::ELossFitter::kC, c); |
| 726 | landaui->SetParameter(AliForwardUtil::ELossFitter::kDelta, delta); |
| 727 | landaui->SetParameter(AliForwardUtil::ELossFitter::kXi, xi); |
| 728 | landaui->SetParameter(AliForwardUtil::ELossFitter::kSigma, sigma); |
| 1174780f |
729 | landaui->SetParameter(AliForwardUtil::ELossFitter::kSigmaN, sigmaN); |
| 0bd4b00f |
730 | landaui->FixParameter(AliForwardUtil::ELossFitter::kN, i); |
| 731 | |
| 732 | return landaui; |
| 733 | } |
| 7f759bb7 |
734 | |
| 735 | //==================================================================== |
| 736 | AliForwardUtil::ELossFitter::ELossFitter(Double_t lowCut, |
| 737 | Double_t maxRange, |
| 738 | UShort_t minusBins) |
| 739 | : fLowCut(lowCut), fMaxRange(maxRange), fMinusBins(minusBins), |
| 740 | fFitResults(0), fFunctions(0) |
| 741 | { |
| 7984e5f7 |
742 | // |
| 743 | // Constructor |
| 744 | // |
| 745 | // Parameters: |
| 746 | // lowCut Lower cut of spectrum - data below this cuts is ignored |
| 747 | // maxRange Maximum range to fit to |
| 748 | // minusBins The number of bins below maximum to use |
| 749 | // |
| 7f759bb7 |
750 | fFitResults.SetOwner(); |
| 751 | fFunctions.SetOwner(); |
| 752 | } |
| 753 | //____________________________________________________________________ |
| 754 | AliForwardUtil::ELossFitter::~ELossFitter() |
| 755 | { |
| 7984e5f7 |
756 | // |
| 757 | // Destructor |
| 758 | // |
| 759 | // |
| 7f759bb7 |
760 | fFitResults.Delete(); |
| 761 | fFunctions.Delete(); |
| 762 | } |
| 763 | //____________________________________________________________________ |
| 764 | void |
| 765 | AliForwardUtil::ELossFitter::Clear() |
| 766 | { |
| 7984e5f7 |
767 | // |
| 768 | // Clear internal arrays |
| 769 | // |
| 770 | // |
| 7f759bb7 |
771 | fFitResults.Clear(); |
| 772 | fFunctions.Clear(); |
| 773 | } |
| 774 | //____________________________________________________________________ |
| 775 | TF1* |
| 776 | AliForwardUtil::ELossFitter::Fit1Particle(TH1* dist, Double_t sigman) |
| 777 | { |
| 7984e5f7 |
778 | // |
| 779 | // Fit a 1-particle signal to the passed energy loss distribution |
| 780 | // |
| 781 | // Note that this function clears the internal arrays first |
| 782 | // |
| 783 | // Parameters: |
| 784 | // dist Data to fit the function to |
| 785 | // sigman If larger than zero, the initial guess of the |
| 786 | // detector induced noise. If zero or less, then this |
| 787 | // parameter is ignored in the fit (fixed at 0) |
| 788 | // |
| 789 | // Return: |
| 790 | // The function fitted to the data |
| 791 | // |
| 792 | |
| 7f759bb7 |
793 | // Clear the cache |
| 794 | Clear(); |
| 795 | |
| 796 | // Find the fit range |
| 797 | dist->GetXaxis()->SetRangeUser(fLowCut, fMaxRange); |
| 798 | |
| 7f759bb7 |
799 | // Get the bin with maximum |
| 800 | Int_t maxBin = dist->GetMaximumBin(); |
| 801 | Double_t maxE = dist->GetBinLowEdge(maxBin); |
| 802 | |
| 803 | // Get the low edge |
| 804 | dist->GetXaxis()->SetRangeUser(fLowCut, maxE); |
| 805 | Int_t minBin = maxBin - fMinusBins; // dist->GetMinimumBin(); |
| 806 | Double_t minE = TMath::Max(dist->GetBinCenter(minBin),fLowCut); |
| 807 | Double_t maxEE = dist->GetBinCenter(maxBin+2*fMinusBins); |
| 808 | |
| 809 | // Restore the range |
| 810 | dist->GetXaxis()->SetRangeUser(0, fMaxRange); |
| 811 | |
| 812 | // Define the function to fit |
| 0bd4b00f |
813 | TF1* landau1 = new TF1("landau1", landauGaus1, minE,maxEE,kSigmaN+1); |
| 7f759bb7 |
814 | |
| 815 | // Set initial guesses, parameter names, and limits |
| c389303e |
816 | landau1->SetParameters(1,0.5,0.07,0.1,sigman); |
| 7f759bb7 |
817 | landau1->SetParNames("C","#Delta_{p}","#xi", "#sigma", "#sigma_{n}"); |
| c389303e |
818 | landau1->SetNpx(500); |
| 819 | landau1->SetParLimits(kDelta, minE, fMaxRange); |
| 820 | landau1->SetParLimits(kXi, 0.00, fMaxRange); |
| 821 | landau1->SetParLimits(kSigma, 0.01, 0.1); |
| 822 | if (sigman <= 0) landau1->FixParameter(kSigmaN, 0); |
| 823 | else landau1->SetParLimits(kSigmaN, 0, fMaxRange); |
| 7f759bb7 |
824 | |
| 825 | // Do the fit, getting the result object |
| 826 | TFitResultPtr r = dist->Fit(landau1, "RNQS", "", minE, maxEE); |
| c389303e |
827 | landau1->SetRange(minE, fMaxRange); |
| 7f759bb7 |
828 | fFitResults.AddAtAndExpand(new TFitResult(*r), 0); |
| 829 | fFunctions.AddAtAndExpand(landau1, 0); |
| 830 | |
| 831 | return landau1; |
| 832 | } |
| 833 | //____________________________________________________________________ |
| 834 | TF1* |
| 835 | AliForwardUtil::ELossFitter::FitNParticle(TH1* dist, UShort_t n, |
| 836 | Double_t sigman) |
| 837 | { |
| 7984e5f7 |
838 | // |
| 839 | // Fit a N-particle signal to the passed energy loss distribution |
| 840 | // |
| 841 | // If there's no 1-particle fit present, it does that first |
| 842 | // |
| 843 | // Parameters: |
| 844 | // dist Data to fit the function to |
| 845 | // n Number of particle signals to fit |
| 846 | // sigman If larger than zero, the initial guess of the |
| 847 | // detector induced noise. If zero or less, then this |
| 848 | // parameter is ignored in the fit (fixed at 0) |
| 849 | // |
| 850 | // Return: |
| 851 | // The function fitted to the data |
| 852 | // |
| 853 | |
| 7f759bb7 |
854 | // Get the seed fit result |
| 855 | TFitResult* r = static_cast<TFitResult*>(fFitResults.At(0)); |
| 856 | TF1* f = static_cast<TF1*>(fFunctions.At(0)); |
| 857 | if (!r || !f) { |
| 858 | f = Fit1Particle(dist, sigman); |
| 859 | r = static_cast<TFitResult*>(fFitResults.At(0)); |
| 860 | if (!r || !f) { |
| 861 | ::Warning("FitNLandau", "No first shot at landau fit"); |
| 862 | return 0; |
| 863 | } |
| 864 | } |
| 865 | |
| 866 | // Get some parameters from seed fit |
| c389303e |
867 | Double_t delta1 = r->Parameter(kDelta); |
| 868 | Double_t xi1 = r->Parameter(kXi); |
| 7f759bb7 |
869 | Double_t maxEi = n * (delta1 + xi1 * TMath::Log(n)) + 2 * n * xi1; |
| 870 | Double_t minE = f->GetXmin(); |
| 871 | |
| 0bd4b00f |
872 | // Array of weights |
| 873 | TArrayD a(n-1); |
| 874 | for (UShort_t i = 2; i <= n; i++) |
| 875 | a.fArray[i-2] = (n == 2 ? 0.05 : 0.000001); |
| 7f759bb7 |
876 | // Make the fit function |
| 0bd4b00f |
877 | TF1* landaun = MakeNLandauGaus(r->Parameter(kC), |
| 878 | r->Parameter(kDelta), |
| 879 | r->Parameter(kXi), |
| 880 | r->Parameter(kSigma), |
| 881 | r->Parameter(kSigmaN), |
| 882 | n,a.fArray,minE,maxEi); |
| c389303e |
883 | landaun->SetParLimits(kDelta, minE, fMaxRange); // Delta |
| 884 | landaun->SetParLimits(kXi, 0.00, fMaxRange); // xi |
| 885 | landaun->SetParLimits(kSigma, 0.01, 1); // sigma |
| 886 | // Check if we're using the noise sigma |
| 887 | if (sigman <= 0) landaun->FixParameter(kSigmaN, 0); |
| 888 | else landaun->SetParLimits(kSigmaN, 0, fMaxRange); |
| 7f759bb7 |
889 | |
| 890 | // Set the range and name of the scale parameters |
| 891 | for (UShort_t i = 2; i <= n; i++) {// Take parameters from last fit |
| c389303e |
892 | landaun->SetParLimits(kA+i-2, 0,1); |
| 7f759bb7 |
893 | } |
| 894 | |
| 895 | // Do the fit |
| 896 | TFitResultPtr tr = dist->Fit(landaun, "RSQN", "", minE, maxEi); |
| 897 | |
| c389303e |
898 | landaun->SetRange(minE, fMaxRange); |
| 7f759bb7 |
899 | fFitResults.AddAtAndExpand(new TFitResult(*tr), n-1); |
| 900 | fFunctions.AddAtAndExpand(landaun, n-1); |
| 901 | |
| 902 | return landaun; |
| 903 | } |
| 7e4038b5 |
904 | |
| 905 | //==================================================================== |
| 906 | AliForwardUtil::Histos::~Histos() |
| 907 | { |
| 7984e5f7 |
908 | // |
| 909 | // Destructor |
| 910 | // |
| 7e4038b5 |
911 | if (fFMD1i) delete fFMD1i; |
| 912 | if (fFMD2i) delete fFMD2i; |
| 913 | if (fFMD2o) delete fFMD2o; |
| 914 | if (fFMD3i) delete fFMD3i; |
| 915 | if (fFMD3o) delete fFMD3o; |
| 916 | } |
| 917 | |
| 918 | //____________________________________________________________________ |
| 919 | TH2D* |
| 920 | AliForwardUtil::Histos::Make(UShort_t d, Char_t r, |
| 921 | const TAxis& etaAxis) const |
| 922 | { |
| 7984e5f7 |
923 | // |
| 924 | // Make a histogram |
| 925 | // |
| 926 | // Parameters: |
| 927 | // d Detector |
| 928 | // r Ring |
| 929 | // etaAxis Eta axis to use |
| 930 | // |
| 931 | // Return: |
| 932 | // Newly allocated histogram |
| 933 | // |
| 7e4038b5 |
934 | Int_t ns = (r == 'I' || r == 'i') ? 20 : 40; |
| 935 | TH2D* hist = new TH2D(Form("FMD%d%c_cache", d, r), |
| 936 | Form("FMD%d%c cache", d, r), |
| 937 | etaAxis.GetNbins(), etaAxis.GetXmin(), |
| 938 | etaAxis.GetXmax(), ns, 0, 2*TMath::Pi()); |
| 939 | hist->SetXTitle("#eta"); |
| 940 | hist->SetYTitle("#phi [radians]"); |
| 941 | hist->SetZTitle("d^{2}N_{ch}/d#etad#phi"); |
| 942 | hist->Sumw2(); |
| 943 | hist->SetDirectory(0); |
| 944 | |
| 945 | return hist; |
| 946 | } |
| 947 | //____________________________________________________________________ |
| 948 | void |
| 949 | AliForwardUtil::Histos::Init(const TAxis& etaAxis) |
| 950 | { |
| 7984e5f7 |
951 | // |
| 952 | // Initialize the object |
| 953 | // |
| 954 | // Parameters: |
| 955 | // etaAxis Eta axis to use |
| 956 | // |
| 7e4038b5 |
957 | fFMD1i = Make(1, 'I', etaAxis); |
| 958 | fFMD2i = Make(2, 'I', etaAxis); |
| 959 | fFMD2o = Make(2, 'O', etaAxis); |
| 960 | fFMD3i = Make(3, 'I', etaAxis); |
| 961 | fFMD3o = Make(3, 'O', etaAxis); |
| 962 | } |
| 963 | //____________________________________________________________________ |
| 964 | void |
| 965 | AliForwardUtil::Histos::Clear(Option_t* option) |
| 966 | { |
| 7984e5f7 |
967 | // |
| 968 | // Clear data |
| 969 | // |
| 970 | // Parameters: |
| 971 | // option Not used |
| 972 | // |
| 422a78c8 |
973 | if (fFMD1i) fFMD1i->Reset(option); |
| 974 | if (fFMD2i) fFMD2i->Reset(option); |
| 975 | if (fFMD2o) fFMD2o->Reset(option); |
| 976 | if (fFMD3i) fFMD3i->Reset(option); |
| 977 | if (fFMD3o) fFMD3o->Reset(option); |
| 7e4038b5 |
978 | } |
| 979 | |
| 980 | //____________________________________________________________________ |
| 981 | TH2D* |
| 982 | AliForwardUtil::Histos::Get(UShort_t d, Char_t r) const |
| 983 | { |
| 7984e5f7 |
984 | // |
| 985 | // Get the histogram for a particular detector,ring |
| 986 | // |
| 987 | // Parameters: |
| 988 | // d Detector |
| 989 | // r Ring |
| 990 | // |
| 991 | // Return: |
| 992 | // Histogram for detector,ring or nul |
| 993 | // |
| 7e4038b5 |
994 | switch (d) { |
| 995 | case 1: return fFMD1i; |
| 996 | case 2: return (r == 'I' || r == 'i' ? fFMD2i : fFMD2o); |
| 997 | case 3: return (r == 'I' || r == 'i' ? fFMD3i : fFMD3o); |
| 998 | } |
| 999 | return 0; |
| 1000 | } |
| 9d99b0dd |
1001 | //==================================================================== |
| 1002 | TList* |
| 1003 | AliForwardUtil::RingHistos::DefineOutputList(TList* d) const |
| 1004 | { |
| 7984e5f7 |
1005 | // |
| 1006 | // Define the outout list in @a d |
| 1007 | // |
| 1008 | // Parameters: |
| 1009 | // d Where to put the output list |
| 1010 | // |
| 1011 | // Return: |
| 1012 | // Newly allocated TList object or null |
| 1013 | // |
| 9d99b0dd |
1014 | if (!d) return 0; |
| 1015 | TList* list = new TList; |
| 5bb5d1f6 |
1016 | list->SetOwner(); |
| 9d99b0dd |
1017 | list->SetName(fName.Data()); |
| 1018 | d->Add(list); |
| 1019 | return list; |
| 1020 | } |
| 1021 | //____________________________________________________________________ |
| 1022 | TList* |
| fb3430ac |
1023 | AliForwardUtil::RingHistos::GetOutputList(const TList* d) const |
| 9d99b0dd |
1024 | { |
| 7984e5f7 |
1025 | // |
| 1026 | // Get our output list from the container @a d |
| 1027 | // |
| 1028 | // Parameters: |
| 1029 | // d where to get the output list from |
| 1030 | // |
| 1031 | // Return: |
| 1032 | // The found TList or null |
| 1033 | // |
| 9d99b0dd |
1034 | if (!d) return 0; |
| 1035 | TList* list = static_cast<TList*>(d->FindObject(fName.Data())); |
| 1036 | return list; |
| 1037 | } |
| 1038 | |
| 1039 | //____________________________________________________________________ |
| 1040 | TH1* |
| fb3430ac |
1041 | AliForwardUtil::RingHistos::GetOutputHist(const TList* d, const char* name) const |
| 9d99b0dd |
1042 | { |
| 7984e5f7 |
1043 | // |
| 1044 | // Find a specific histogram in the source list @a d |
| 1045 | // |
| 1046 | // Parameters: |
| 1047 | // d (top)-container |
| 1048 | // name Name of histogram |
| 1049 | // |
| 1050 | // Return: |
| 1051 | // Found histogram or null |
| 1052 | // |
| 9d99b0dd |
1053 | return static_cast<TH1*>(d->FindObject(name)); |
| 1054 | } |
| 1055 | |
| f53fb4f6 |
1056 | //==================================================================== |
| 1057 | AliForwardUtil::DebugGuard::DebugGuard(Int_t lvl, Int_t msgLvl, |
| 1058 | const char* format, ...) |
| 1059 | : fMsg("") |
| 1060 | { |
| 1061 | if (lvl < msgLvl) return; |
| 1062 | va_list ap; |
| 1063 | va_start(ap, format); |
| 81a9a914 |
1064 | Format(fMsg, format, ap); |
| f53fb4f6 |
1065 | va_end(ap); |
| 81a9a914 |
1066 | Output(+1, fMsg); |
| f53fb4f6 |
1067 | } |
| 1068 | //____________________________________________________________________ |
| 1069 | AliForwardUtil::DebugGuard::~DebugGuard() |
| 1070 | { |
| 1071 | if (fMsg.IsNull()) return; |
| 81a9a914 |
1072 | Output(-1, fMsg); |
| 1073 | } |
| 1074 | //____________________________________________________________________ |
| 1075 | void |
| 1076 | AliForwardUtil::DebugGuard::Message(Int_t lvl, Int_t msgLvl, |
| 1077 | const char* format, ...) |
| 1078 | { |
| 1079 | if (lvl < msgLvl) return; |
| 1080 | TString msg; |
| 1081 | va_list ap; |
| 1082 | va_start(ap, format); |
| 1083 | Format(msg, format, ap); |
| 1084 | va_end(ap); |
| 1085 | Output(0, msg); |
| 1086 | } |
| 1087 | |
| 1088 | //____________________________________________________________________ |
| 1089 | void |
| 1090 | AliForwardUtil::DebugGuard::Format(TString& out, const char* format, va_list ap) |
| 1091 | { |
| 1092 | static char buf[512]; |
| 1093 | Int_t n = gROOT->GetDirLevel() + 2; |
| 1094 | for (Int_t i = 0; i < n; i++) buf[i] = ' '; |
| 1095 | vsnprintf(&(buf[n]), 511-n, format, ap); |
| 1096 | buf[511] = '\0'; |
| 1097 | out = buf; |
| f53fb4f6 |
1098 | } |
| 1099 | //____________________________________________________________________ |
| 1100 | void |
| 81a9a914 |
1101 | AliForwardUtil::DebugGuard::Output(int in, TString& msg) |
| f53fb4f6 |
1102 | { |
| 81a9a914 |
1103 | msg[0] = (in > 0 ? '>' : in < 0 ? '<' : '='); |
| 1104 | AliLog::Message(AliLog::kInfo, msg, 0, 0, "PWGLF/forward", 0, 0); |
| 1105 | if (in > 0) gROOT->IncreaseDirLevel(); |
| 1106 | else if (in < 0) gROOT->DecreaseDirLevel(); |
| f53fb4f6 |
1107 | } |
| 1108 | |
| 1109 | |
| 1110 | |
| 7e4038b5 |
1111 | // |
| 1112 | // EOF |
| 1113 | // |
git://git.uio.no / u / mrichter / AliRoot.git / blame