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1 | #ifndef ALIROOT_PWG2_FORWARD_ALIFMDENERGYFITTER_H | |
2 | #define ALIROOT_PWG2_FORWARD_ALIFMDENERGYFITTER_H | |
3 | #include <TNamed.h> | |
4 | #include <TH1D.h> | |
5 | #include <TAxis.h> | |
6 | #include <TList.h> | |
7 | #include <TObjArray.h> | |
8 | #include "AliForwardUtil.h" | |
9 | class AliESDFMD; | |
10 | class TFitResult; | |
11 | class TF1; | |
12 | class TArrayD; | |
13 | ||
14 | /** | |
15 | * Class to fit the energy distribution. | |
16 | * | |
17 | * @par Input: | |
18 | * - AliESDFMD object - from reconstruction | |
19 | * | |
20 | * @par Output: | |
21 | * - Lists of histogram - one per ring. Each list has a number of | |
22 | * histograms corresponding to the number of eta bins defined. | |
23 | * | |
24 | * @par Corrections used: | |
25 | * - None | |
26 | * | |
27 | * | |
28 | * @ingroup pwg2_forward_analysis | |
29 | */ | |
30 | class AliFMDEnergyFitter : public TNamed | |
31 | { | |
32 | public: | |
33 | enum { | |
34 | kC = AliForwardUtil::ELossFitter::kC, | |
35 | kDelta = AliForwardUtil::ELossFitter::kDelta, | |
36 | kXi = AliForwardUtil::ELossFitter::kXi, | |
37 | kSigma = AliForwardUtil::ELossFitter::kSigma, | |
38 | kSigmaN = AliForwardUtil::ELossFitter::kSigmaN, | |
39 | kN = AliForwardUtil::ELossFitter::kN, | |
40 | kA = AliForwardUtil::ELossFitter::kA | |
41 | }; | |
42 | ||
43 | /** | |
44 | * Destructor | |
45 | */ | |
46 | virtual ~AliFMDEnergyFitter(); | |
47 | /** | |
48 | * Default Constructor - do not use | |
49 | */ | |
50 | AliFMDEnergyFitter(); | |
51 | /** | |
52 | * Constructor | |
53 | * | |
54 | * @param title Title of object - not significant | |
55 | */ | |
56 | AliFMDEnergyFitter(const char* title); | |
57 | /** | |
58 | * Copy constructor | |
59 | * | |
60 | * @param o Object to copy from | |
61 | */ | |
62 | AliFMDEnergyFitter(const AliFMDEnergyFitter& o); | |
63 | /** | |
64 | * Assignment operator | |
65 | * | |
66 | * @param o Object to assign from | |
67 | * | |
68 | * @return Reference to this | |
69 | */ | |
70 | AliFMDEnergyFitter& operator=(const AliFMDEnergyFitter& o); | |
71 | ||
72 | /** | |
73 | * Initialise the task | |
74 | * | |
75 | * @param etaAxis The eta axis to use. Note, that if the eta axis | |
76 | * has already been set (using SetEtaAxis), then this parameter will be | |
77 | * ignored | |
78 | */ | |
79 | void Init(const TAxis& etaAxis); | |
80 | /** | |
81 | * Set the eta axis to use. This will force the code to use this | |
82 | * eta axis definition - irrespective of whatever axis is passed to | |
83 | * the Init member function. Therefore, this member function can be | |
84 | * used to force another eta axis than one found in the correction | |
85 | * objects. | |
86 | * | |
87 | * @param nBins Number of bins | |
88 | * @param etaMin Minimum of the eta axis | |
89 | * @param etaMax Maximum of the eta axis | |
90 | */ | |
91 | void SetEtaAxis(Int_t nBins, Double_t etaMin, Double_t etaMax); | |
92 | /** | |
93 | * Set the eta axis to use. This will force the code to use this | |
94 | * eta axis definition - irrespective of whatever axis is passed to | |
95 | * the Init member function. Therefore, this member function can be | |
96 | * used to force another eta axis than one found in the correction | |
97 | * objects. | |
98 | * | |
99 | * @param etaAxis Eta axis to use | |
100 | */ | |
101 | void SetEtaAxis(const TAxis& etaAxis); | |
102 | /** | |
103 | * Set the low cut used for energy | |
104 | * | |
105 | * @param lowCut Low cut | |
106 | */ | |
107 | void SetLowCut(Double_t lowCut=0.3) { fLowCut = lowCut; } | |
108 | /** | |
109 | * Set the number of bins to subtract | |
110 | * | |
111 | * @param n | |
112 | */ | |
113 | void SetFitRangeBinWidth(UShort_t n=4) { fFitRangeBinWidth = n; } | |
114 | /** | |
115 | * Whether or not to enable fitting of the final merged result. | |
116 | * Note, fitting takes quite a while and one should be careful not to do | |
117 | * this needlessly | |
118 | * | |
119 | * @param doFit Whether to do the fits or not | |
120 | */ | |
121 | void SetDoFits(Bool_t doFit=kTRUE) { fDoFits = doFit; } | |
122 | /** | |
123 | * Set how many particles we will try to fit at most to the data | |
124 | * | |
125 | * @param n Max number of particle to try to fit | |
126 | */ | |
127 | void SetNParticles(UShort_t n) { fNParticles = (n < 1 ? 1 : (n > 5 ? 5 : n)); } | |
128 | /** | |
129 | * Set the minimum number of entries each histogram must have | |
130 | * before we try to fit our response function to it | |
131 | * | |
132 | * @param n Minimum number of entries | |
133 | */ | |
134 | void SetMinEntries(UShort_t n) { fMinEntries = (n < 1 ? 1 : n); } | |
135 | /** | |
136 | * Set maximum energy loss to consider | |
137 | * | |
138 | * @param x Maximum energy loss to consider | |
139 | */ | |
140 | void SetMaxE(Double_t x) { fMaxE = x; } | |
141 | /** | |
142 | * Set number of energy loss bins | |
143 | * | |
144 | * @param x Number of energy loss bins | |
145 | */ | |
146 | void SetNEbins(Int_t x) { fNEbins = x; } | |
147 | void SetMaxRelativeParameterError(Double_t e) { fMaxRelParError = e; } | |
148 | void SetMaxChi2PerNDF(Double_t c) { fMaxChi2PerNDF = c; } | |
149 | /** | |
150 | * Set wheter to use increasing bin sizes | |
151 | * | |
152 | * @param x Wheter to use increasing bin sizes | |
153 | */ | |
154 | void SetUseIncreasingBins(Bool_t x) { fUseIncreasingBins = x; } | |
155 | /** | |
156 | * Fitter the input AliESDFMD object | |
157 | * | |
158 | * @param input Input | |
159 | * @param empty Whether the event is 'empty' | |
160 | * | |
161 | * @return True on success, false otherwise | |
162 | */ | |
163 | Bool_t Accumulate(const AliESDFMD& input, | |
164 | Bool_t empty); | |
165 | /** | |
166 | * Scale the histograms to the total number of events | |
167 | * | |
168 | * @param dir Where the histograms are | |
169 | */ | |
170 | void Fit(TList* dir); | |
171 | ||
172 | /** | |
173 | * Define the output histograms. These are put in a sub list of the | |
174 | * passed list. The histograms are merged before the parent task calls | |
175 | * AliAnalysisTaskSE::Terminate | |
176 | * | |
177 | * @param dir Directory to add to | |
178 | */ | |
179 | void DefineOutput(TList* dir); | |
180 | /** | |
181 | * Set the debug level. The higher the value the more output | |
182 | * | |
183 | * @param dbg Debug level | |
184 | */ | |
185 | void SetDebug(Int_t dbg=1); | |
186 | protected: | |
187 | /** | |
188 | * Internal data structure to keep track of the histograms | |
189 | */ | |
190 | struct RingHistos : public AliForwardUtil::RingHistos | |
191 | { | |
192 | /** | |
193 | * Default CTOR | |
194 | */ | |
195 | RingHistos(); | |
196 | /** | |
197 | * Constructor | |
198 | * | |
199 | * @param d detector | |
200 | * @param r ring | |
201 | */ | |
202 | RingHistos(UShort_t d, Char_t r); | |
203 | /** | |
204 | * Copy constructor | |
205 | * | |
206 | * @param o Object to copy from | |
207 | */ | |
208 | RingHistos(const RingHistos& o); | |
209 | /** | |
210 | * Assignment operator | |
211 | * | |
212 | * @param o Object to assign from | |
213 | * | |
214 | * @return Reference to this | |
215 | */ | |
216 | RingHistos& operator=(const RingHistos& o); | |
217 | /** | |
218 | * Destructor | |
219 | */ | |
220 | ~RingHistos(); | |
221 | /** | |
222 | * Define outputs | |
223 | * | |
224 | * @param dir | |
225 | */ | |
226 | void Output(TList* dir); | |
227 | /** | |
228 | * Initialise object | |
229 | * | |
230 | * @param eAxis Eta axis | |
231 | * @param maxDE Max energy loss to consider | |
232 | * @param nDEbins Number of bins | |
233 | * @param useIncrBin Whether to use an increasing bin size | |
234 | */ | |
235 | void Init(const TAxis& eAxis, | |
236 | Double_t maxDE=10, | |
237 | Int_t nDEbins=300, | |
238 | Bool_t useIncrBin=true); | |
239 | /** | |
240 | * Fill histogram | |
241 | * | |
242 | * @param empty True if event is empty | |
243 | * @param ieta Eta bin | |
244 | * @param mult Signal | |
245 | */ | |
246 | void Fill(Bool_t empty, Int_t ieta, Double_t mult); | |
247 | /** | |
248 | * Fit each histogram to up to @a nParticles particle responses. | |
249 | * | |
250 | * @param dir Output list | |
251 | * @param eta Eta axis | |
252 | * @param lowCut Lower cut | |
253 | * @param nParticles Max number of convolved landaus to fit | |
254 | * @param minEntries Minimum number of entries | |
255 | * @param minusBins Number of bins from peak to subtract to | |
256 | * get the fit range | |
257 | * @param relErrorCut Cut applied to relative error of parameter. | |
258 | * Note, for multi-particle weights, the cut | |
259 | * is loosend by a factor of 2 | |
260 | * @param chi2nuCut Cut on @f$ \chi^2/\nu@f$ - | |
261 | * the reduced @f$\chi^2@f$ | |
262 | */ | |
263 | TObjArray* Fit(TList* dir, | |
264 | const TAxis& eta, | |
265 | Double_t lowCut, | |
266 | UShort_t nParticles, | |
267 | UShort_t minEntries, | |
268 | UShort_t minusBins, | |
269 | Double_t relErrorCut, | |
270 | Double_t chi2nuCut) const; | |
271 | /** | |
272 | * Fit a signal histogram. First, the bin @f% b_{min}@f$ with | |
273 | * maximum bin content in the range @f$ [E_{min},\infty]@f$ is | |
274 | * found. Then the fit range is set to the bin range | |
275 | * @f$ [b_{min}-\Delta b,b_{min}+2\Delta b]@f$, and a 1 | |
276 | * particle signal is fitted to that. The parameters of that fit | |
277 | * is then used as seeds for a fit of the @f$ N@f$ particle response | |
278 | * to the data in the range | |
279 | * @f$ [b_{min}-\Delta b,N(\Delta_1+\xi_1\log(N))+2N\xi@f$ | |
280 | * | |
281 | * @param dist Histogram to fit | |
282 | * @param lowCut Lower cut @f$ E_{min}@f$ on signal | |
283 | * @param nParticles Max number @f$ N@f$ of convolved landaus to fit | |
284 | * @param minusBins Number of bins @f$ \Delta b@f$ from peak to | |
285 | * subtract to get the fit range | |
286 | * @param relErrorCut Cut applied to relative error of parameter. | |
287 | * Note, for multi-particle weights, the cut | |
288 | * is loosend by a factor of 2 | |
289 | * @param chi2nuCut Cut on @f$ \chi^2/\nu@f$ - | |
290 | * the reduced @f$\chi^2@f$ | |
291 | * | |
292 | * @return The best fit function | |
293 | */ | |
294 | TF1* FitHist(TH1* dist, | |
295 | Double_t lowCut, | |
296 | UShort_t nParticles, | |
297 | UShort_t minusBins, | |
298 | Double_t relErrorCut, | |
299 | Double_t chi2nuCut) const; | |
300 | /** | |
301 | * Check the result of the fit. Returns true if | |
302 | * - @f$ \chi^2/\nu < \max{\chi^2/\nu}@f$ | |
303 | * - @f$ \Delta p_i/p_i < \delta_e@f$ for all parameters. Note, | |
304 | * for multi-particle fits, this requirement is relaxed by a | |
305 | * factor of 2 | |
306 | * - @f$ a_{n} > 10^{-7}@f$ when fitting to an @f$ n@f$ | |
307 | * particle response | |
308 | * | |
309 | * @param r Result to check | |
310 | * @param relErrorCut Cut @f$ \delta_e@f$ applied to relative error | |
311 | * of parameter. | |
312 | * @param chi2nuCut Cut @f$ \max{\chi^2/\nu}@f$ | |
313 | * | |
314 | * @return true if fit is good. | |
315 | */ | |
316 | Bool_t CheckResult(TFitResult* r, | |
317 | Double_t relErrorCut, | |
318 | Double_t chi2nuCut) const; | |
319 | /** | |
320 | * Make an axis with increasing bins | |
321 | * | |
322 | * @param n Number of bins | |
323 | * @param min Minimum | |
324 | * @param max Maximum | |
325 | * | |
326 | * @return An axis with quadratically increasing bin size | |
327 | */ | |
328 | TArrayD MakeIncreasingAxis(Int_t n, Double_t min, Double_t max) const; | |
329 | /** | |
330 | * Make E/E_mip histogram | |
331 | * | |
332 | * @param ieta Eta bin | |
333 | * @param eMin Least signal | |
334 | * @param eMax Largest signal | |
335 | */ | |
336 | void Make(Int_t ieta, Double_t eMin, Double_t eMax, | |
337 | Double_t deMax=12, Int_t nDeBins=300, Bool_t incr=true); | |
338 | /** | |
339 | * Make a parameter histogram | |
340 | * | |
341 | * @param name Name of histogram. | |
342 | * @param title Title of histogram. | |
343 | * @param eta Eta axis | |
344 | * | |
345 | * @return | |
346 | */ | |
347 | TH1D* MakePar(const char* name, const char* title, const TAxis& eta) const; | |
348 | /** | |
349 | * Make a histogram that contains the results of the fit over the full ring | |
350 | * | |
351 | * @param name Name | |
352 | * @param title Title | |
353 | * @param eta Eta axis | |
354 | * @param low Least bin | |
355 | * @param high Largest bin | |
356 | * @param val Value of parameter | |
357 | * @param err Error on parameter | |
358 | * | |
359 | * @return The newly allocated histogram | |
360 | */ | |
361 | TH1D* MakeTotal(const char* name, | |
362 | const char* title, | |
363 | const TAxis& eta, | |
364 | Int_t low, | |
365 | Int_t high, | |
366 | Double_t val, | |
367 | Double_t err) const; | |
368 | TH1D* fEDist; // Ring energy distribution | |
369 | TH1D* fEmpty; // Ring energy distribution for empty events | |
370 | TList fEtaEDists; // Energy distributions per eta bin. | |
371 | TList* fList; | |
372 | Int_t fDebug; | |
373 | ClassDef(RingHistos,1); | |
374 | }; | |
375 | /** | |
376 | * Get the ring histogram container | |
377 | * | |
378 | * @param d Detector | |
379 | * @param r Ring | |
380 | * | |
381 | * @return Ring histogram container | |
382 | */ | |
383 | RingHistos* GetRingHistos(UShort_t d, Char_t r) const; | |
384 | ||
385 | TList fRingHistos; // List of histogram containers | |
386 | Double_t fLowCut; // Low cut on energy | |
387 | UShort_t fNParticles; // Number of landaus to try to fit | |
388 | UShort_t fMinEntries; // Minimum number of entries | |
389 | UShort_t fFitRangeBinWidth;// Number of bins to subtract from found max | |
390 | Bool_t fDoFits; // Wheter to actually do the fits | |
391 | TAxis fEtaAxis; // Eta axis | |
392 | Double_t fMaxE; // Maximum energy loss to consider | |
393 | Int_t fNEbins; // Number of energy loss bins | |
394 | Bool_t fUseIncreasingBins; // Wheter to use increasing bin sizes | |
395 | Double_t fMaxRelParError;// Relative error cut | |
396 | Double_t fMaxChi2PerNDF; // chi^2/nu cit | |
397 | Int_t fDebug; // Debug level | |
398 | ||
399 | ClassDef(AliFMDEnergyFitter,1); // | |
400 | }; | |
401 | ||
402 | #endif | |
403 | // Local Variables: | |
404 | // mode: C++ | |
405 | // End: |