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7984e5f7 | 1 | // |
2 | // Utilities used in the forward multiplcity analysis | |
3 | // | |
4 | // | |
5 | #ifndef ALIFORWARDUTIL_H | |
6 | #define ALIFORWARDUTIL_H | |
7e4038b5 | 7 | #include <TObject.h> |
9d99b0dd | 8 | #include <TString.h> |
7f759bb7 | 9 | #include <TObjArray.h> |
7e4038b5 | 10 | class TH2D; |
9d99b0dd | 11 | class TH1I; |
12 | class TH1; | |
7f759bb7 | 13 | class TF1; |
7e4038b5 | 14 | class TAxis; |
9d99b0dd | 15 | class AliESDEvent; |
7e4038b5 | 16 | |
17 | /** | |
18 | * Utilities used in the forward multiplcity analysis | |
19 | * | |
7c1a1f1d | 20 | * @ingroup pwg2_forward |
7e4038b5 | 21 | */ |
22 | class AliForwardUtil : public TObject | |
23 | { | |
9d99b0dd | 24 | public: |
0bd4b00f | 25 | //================================================================== |
26 | /** | |
27 | * @{ | |
7c1a1f1d | 28 | * @name Collision/run parameters |
0bd4b00f | 29 | */ |
30 | /** | |
31 | * Defined collision types | |
32 | */ | |
33 | enum ECollisionSystem { | |
34 | kUnknown, | |
35 | kPP, | |
36 | kPbPb | |
37 | }; | |
38 | //__________________________________________________________________ | |
39 | /** | |
40 | * Parse a collision system spec given in a string. Known values are | |
41 | * | |
42 | * - "pp", "p-p" which returns kPP | |
43 | * - "PbPb", "Pb-Pb", "A-A", which returns kPbPb | |
44 | * - Everything else gives kUnknown | |
45 | * | |
46 | * @param sys Collision system spec | |
47 | * | |
48 | * @return Collision system id | |
49 | */ | |
50 | static UShort_t ParseCollisionSystem(const char* sys); | |
51 | /** | |
52 | * Get a string representation of the collision system | |
53 | * | |
54 | * @param sys Collision system | |
55 | * - kPP -> "pp" | |
56 | * - kPbPb -> "PbPb" | |
57 | * - anything else gives "unknown" | |
58 | * | |
59 | * @return String representation of the collision system | |
60 | */ | |
61 | static const char* CollisionSystemString(UShort_t sys); | |
62 | //__________________________________________________________________ | |
63 | /** | |
64 | * Parse the center of mass energy given as a float and return known | |
65 | * values as a unsigned integer | |
66 | * | |
67 | * @param sys Collision system (needed for AA) | |
68 | * @param cms Center of mass energy * total charge | |
69 | * | |
70 | * @return Center of mass energy per nucleon | |
71 | */ | |
72 | static UShort_t ParseCenterOfMassEnergy(UShort_t sys, Float_t cms); | |
73 | /** | |
74 | * Get a string representation of the center of mass energy per nuclean | |
75 | * | |
7c1a1f1d | 76 | * @param cms Center of mass energy per nucleon |
0bd4b00f | 77 | * |
78 | * @return String representation of the center of mass energy per nuclean | |
79 | */ | |
80 | static const char* CenterOfMassEnergyString(UShort_t cms); | |
81 | //__________________________________________________________________ | |
82 | /** | |
83 | * Parse the magnetic field (in kG) as given by a floating point number | |
84 | * | |
85 | * @param field Magnetic field in kG | |
86 | * | |
87 | * @return Short integer value of magnetic field in kG | |
88 | */ | |
89 | static Short_t ParseMagneticField(Float_t field); | |
90 | /** | |
91 | * Get a string representation of the magnetic field | |
92 | * | |
93 | * @param field Magnetic field in kG | |
94 | * | |
95 | * @return String representation of the magnetic field | |
96 | */ | |
97 | static const char* MagneticFieldString(Short_t field); | |
98 | /* @} */ | |
99 | ||
100 | /** | |
101 | * @{ | |
102 | * @name Energy stragling functions | |
103 | */ | |
7f759bb7 | 104 | //__________________________________________________________________ |
105 | /** | |
106 | * Number of steps to do in the Landau, Gaussiam convolution | |
107 | */ | |
108 | static Int_t fgConvolutionSteps; | |
109 | //------------------------------------------------------------------ | |
110 | /** | |
111 | * How many sigma's of the Gaussian in the Landau, Gaussian | |
112 | * convolution to integrate over | |
113 | */ | |
114 | static Double_t fgConvolutionNSigma; | |
115 | //------------------------------------------------------------------ | |
116 | /** | |
117 | * Calculate the shifted Landau | |
118 | * @f[ | |
119 | * f'_{L}(x;\Delta,\xi) = f_L(x;\Delta+0.22278298\xi) | |
120 | * @f] | |
121 | * | |
122 | * where @f$ f_{L}@f$ is the ROOT implementation of the Landau | |
123 | * distribution (known to have @f$ \Delta_{p}=-0.22278298@f$ for | |
124 | * @f$\Delta=0,\xi=1@f$. | |
125 | * | |
126 | * @param x Where to evaluate @f$ f'_{L}@f$ | |
127 | * @param delta Most probable value | |
128 | * @param xi The 'width' of the distribution | |
129 | * | |
c389303e | 130 | * @return @f$ f'_{L}(x;\Delta,\xi) @f$ |
7f759bb7 | 131 | */ |
132 | static Double_t Landau(Double_t x, Double_t delta, Double_t xi); | |
133 | ||
134 | //------------------------------------------------------------------ | |
9d99b0dd | 135 | /** |
7f759bb7 | 136 | * Calculate the value of a Landau convolved with a Gaussian |
9d99b0dd | 137 | * |
7f759bb7 | 138 | * @f[ |
c389303e | 139 | * f(x;\Delta,\xi,\sigma') = \frac{1}{\sigma' \sqrt{2 \pi}} |
7f759bb7 | 140 | * \int_{-\infty}^{+\infty} d\Delta' f'_{L}(x;\Delta',\xi) |
c389303e | 141 | * \exp{-\frac{(\Delta-\Delta')^2}{2\sigma'^2}} |
7f759bb7 | 142 | * @f] |
9d99b0dd | 143 | * |
c389303e | 144 | * where @f$ f'_{L}@f$ is the Landau distribution, @f$ \Delta@f$ the |
145 | * energy loss, @f$ \xi@f$ the width of the Landau, and | |
146 | * @f$ \sigma'^2=\sigma^2-\sigma_n^2 @f$. Here, @f$\sigma@f$ is the | |
7f759bb7 | 147 | * variance of the Gaussian, and @f$\sigma_n@f$ is a parameter modelling |
148 | * noise in the detector. | |
149 | * | |
150 | * Note that this function uses the constants fgConvolutionSteps and | |
151 | * fgConvolutionNSigma | |
152 | * | |
153 | * References: | |
154 | * - <a href="http://dx.doi.org/10.1016/0168-583X(84)90472-5">Nucl.Instrum.Meth.B1:16</a> | |
155 | * - <a href="http://dx.doi.org/10.1103/PhysRevA.28.615">Phys.Rev.A28:615</a> | |
156 | * - <a href="http://root.cern.ch/root/htmldoc/tutorials/fit/langaus.C.html">ROOT implementation</a> | |
157 | * | |
158 | * @param x where to evaluate @f$ f@f$ | |
159 | * @param delta @f$ \Delta@f$ of @f$ f(x;\Delta,\xi,\sigma')@f$ | |
160 | * @param xi @f$ \xi@f$ of @f$ f(x;\Delta,\xi,\sigma')@f$ | |
c389303e | 161 | * @param sigma @f$ \sigma@f$ of @f$\sigma'^2=\sigma^2-\sigma_n^2 @f$ |
162 | * @param sigma_n @f$ \sigma_n@f$ of @f$\sigma'^2=\sigma^2-\sigma_n^2 @f$ | |
7f759bb7 | 163 | * |
164 | * @return @f$ f@f$ evaluated at @f$ x@f$. | |
9d99b0dd | 165 | */ |
7f759bb7 | 166 | static Double_t LandauGaus(Double_t x, Double_t delta, Double_t xi, |
167 | Double_t sigma, Double_t sigma_n); | |
0bd4b00f | 168 | |
169 | //------------------------------------------------------------------ | |
170 | /** | |
171 | * Evaluate | |
172 | * @f[ | |
173 | * f_i(x;\Delta,\xi,\sigma') = f(x;\Delta_i,\xi_i,\sigma_i') | |
174 | * @f] | |
175 | * corresponding to @f$ i@f$ particles i.e., with the substitutions | |
7c1a1f1d | 176 | * @f{eqnarray*}{ |
177 | * \Delta \rightarrow \Delta_i &=& i(\Delta + \xi\log(i))\\ | |
178 | * \xi \rightarrow \xi_i &=& i \xi\\ | |
179 | * \sigma \rightarrow \sigma_i &=& \sqrt{i}\sigma\\ | |
180 | * \sigma'^2 \rightarrow \sigma_i'^2 &=& \sigma_n^2 + \sigma_i^2 | |
181 | * @f} | |
0bd4b00f | 182 | * |
183 | * @param x Where to evaluate | |
184 | * @param delta @f$ \Delta@f$ | |
185 | * @param xi @f$ \xi@f$ | |
186 | * @param sigma @f$ \sigma@f$ | |
187 | * @param sigma_n @f$ \sigma_n@f$ | |
7c1a1f1d | 188 | * @param i @f$ i @f$ |
0bd4b00f | 189 | * |
7c1a1f1d | 190 | * @return @f$ f_i @f$ evaluated |
0bd4b00f | 191 | */ |
192 | static Double_t ILandauGaus(Double_t x, Double_t delta, Double_t xi, | |
193 | Double_t sigma, Double_t sigma_n, Int_t i); | |
194 | ||
195 | //------------------------------------------------------------------ | |
196 | /** | |
197 | * Numerically evaluate | |
198 | * @f[ | |
199 | * \left.\frac{\partial f_i}{\partial p_i}\right|_{x} | |
200 | * @f] | |
201 | * where @f$ p_i@f$ is the @f$ i^{\mbox{th}}@f$ parameter. The mapping | |
202 | * of the parameters is given by | |
203 | * | |
204 | * - 0: @f$\Delta@f$ | |
205 | * - 1: @f$\xi@f$ | |
206 | * - 2: @f$\sigma@f$ | |
207 | * - 3: @f$\sigma_n@f$ | |
208 | * | |
209 | * This is the partial derivative with respect to the parameter of | |
210 | * the response function corresponding to @f$ i@f$ particles i.e., | |
211 | * with the substitutions | |
212 | * @f[ | |
213 | * \Delta \rightarrow \Delta_i = i(\Delta + \xi\log(i))\\ | |
214 | * \xi \rightarrow \xi_i = i \xi\\ | |
215 | * \sigma \rightarrow \sigma_i = \sqrt{i}\sigma\\ | |
216 | * \sigma'^2 \rightarrow \sigma_i'^2 = \sigma_n^2 + \sigma_i^2 | |
217 | * @f] | |
218 | * | |
219 | * @param x Where to evaluate | |
220 | * @param ipar Parameter number | |
7c1a1f1d | 221 | * @param dp @f$ \epsilon\delta p_i@f$ for some value of @f$\epsilon@f$ |
0bd4b00f | 222 | * @param delta @f$ \Delta@f$ |
223 | * @param xi @f$ \xi@f$ | |
224 | * @param sigma @f$ \sigma@f$ | |
225 | * @param sigma_n @f$ \sigma_n@f$ | |
226 | * @param i @f$ i@f$ | |
227 | * | |
228 | * @return @f$ f_i@f$ evaluated | |
229 | */ | |
230 | static Double_t IdLandauGausdPar(Double_t x, UShort_t ipar, Double_t dp, | |
231 | Double_t delta, Double_t xi, | |
232 | Double_t sigma, Double_t sigma_n, Int_t i); | |
233 | ||
7f759bb7 | 234 | //------------------------------------------------------------------ |
9d99b0dd | 235 | /** |
7f759bb7 | 236 | * Evaluate |
c389303e | 237 | * @f[ |
0bd4b00f | 238 | * f_N(x;\Delta,\xi,\sigma') = \sum_{i=1}^N a_i f_i(x;\Delta,\xi,\sigma'a) |
239 | * @f] | |
9d99b0dd | 240 | * |
7f759bb7 | 241 | * where @f$ f(x;\Delta,\xi,\sigma')@f$ is the convolution of a |
242 | * Landau with a Gaussian (see LandauGaus). Note that | |
c389303e | 243 | * @f$ a_1 = 1@f$, @f$\Delta_i = i(\Delta_1 + \xi\log(i))@f$, |
244 | * @f$\xi_i=i\xi_1@f$, and @f$\sigma_i'^2 = \sigma_n^2 + i\sigma_1^2@f$. | |
7f759bb7 | 245 | * |
246 | * References: | |
247 | * - <a href="http://dx.doi.org/10.1016/0168-583X(84)90472-5">Nucl.Instrum.Meth.B1:16</a> | |
248 | * - <a href="http://dx.doi.org/10.1103/PhysRevA.28.615">Phys.Rev.A28:615</a> | |
249 | * - <a href="http://root.cern.ch/root/htmldoc/tutorials/fit/langaus.C.html">ROOT implementation</a> | |
9d99b0dd | 250 | * |
7f759bb7 | 251 | * @param x Where to evaluate @f$ f_N@f$ |
252 | * @param delta @f$ \Delta_1@f$ | |
253 | * @param xi @f$ \xi_1@f$ | |
254 | * @param sigma @f$ \sigma_1@f$ | |
255 | * @param sigma_n @f$ \sigma_n@f$ | |
256 | * @param n @f$ N@f$ in the sum above. | |
257 | * @param a Array of size @f$ N-1@f$ of the weights @f$ a_i@f$ for | |
258 | * @f$ i > 1@f$ | |
259 | * | |
260 | * @return @f$ f_N(x;\Delta,\xi,\sigma')@f$ | |
9d99b0dd | 261 | */ |
7f759bb7 | 262 | static Double_t NLandauGaus(Double_t x, Double_t delta, Double_t xi, |
263 | Double_t sigma, Double_t sigma_n, Int_t n, | |
264 | Double_t* a); | |
0bd4b00f | 265 | /** |
266 | * Generate a TF1 object of @f$ f_I@f$ | |
267 | * | |
268 | * @param c Constant | |
269 | * @param delta @f$ \Delta@f$ | |
270 | * @param xi @f$ \xi_1@f$ | |
271 | * @param sigma @f$ \sigma_1@f$ | |
272 | * @param sigma_n @f$ \sigma_n@f$ | |
273 | * @param i @f$ i@f$ - the number of particles | |
274 | * @param xmin Least value of range | |
275 | * @param xmax Largest value of range | |
276 | * | |
277 | * @return Newly allocated TF1 object | |
278 | */ | |
279 | static TF1* MakeILandauGaus(Double_t c, | |
280 | Double_t delta, Double_t xi, | |
281 | Double_t sigma, Double_t sigma_n, | |
282 | Int_t i, | |
283 | Double_t xmin, Double_t xmax); | |
284 | /** | |
285 | * Generate a TF1 object of @f$ f_N@f$ | |
286 | * | |
287 | * @param c Constant | |
288 | * @param delta @f$ \Delta@f$ | |
289 | * @param xi @f$ \xi_1@f$ | |
290 | * @param sigma @f$ \sigma_1@f$ | |
291 | * @param sigma_n @f$ \sigma_n@f$ | |
292 | * @param n @f$ N@f$ - how many particles to sum to | |
293 | * @param a Array of size @f$ N-1@f$ of the weights @f$ a_i@f$ for | |
294 | * @f$ i > 1@f$ | |
295 | * @param xmin Least value of range | |
296 | * @param xmax Largest value of range | |
297 | * | |
298 | * @return Newly allocated TF1 object | |
299 | */ | |
300 | static TF1* MakeNLandauGaus(Double_t c, | |
301 | Double_t delta, Double_t xi, | |
302 | Double_t sigma, Double_t sigma_n, | |
303 | Int_t n, Double_t* a, | |
304 | Double_t xmin, Double_t xmax); | |
305 | ||
7f759bb7 | 306 | //__________________________________________________________________ |
307 | /** | |
308 | * Structure to do fits to the energy loss spectrum | |
309 | * | |
ca610c5c | 310 | * @ingroup pwg2_forward |
7f759bb7 | 311 | */ |
312 | struct ELossFitter | |
313 | { | |
c389303e | 314 | enum { |
315 | kC = 0, | |
316 | kDelta, | |
317 | kXi, | |
318 | kSigma, | |
319 | kSigmaN, | |
320 | kN, | |
321 | kA | |
322 | }; | |
7f759bb7 | 323 | /** |
324 | * Constructor | |
325 | * | |
326 | * @param lowCut Lower cut of spectrum - data below this cuts is ignored | |
327 | * @param maxRange Maximum range to fit to | |
328 | * @param minusBins The number of bins below maximum to use | |
329 | */ | |
330 | ELossFitter(Double_t lowCut, Double_t maxRange, UShort_t minusBins); | |
7984e5f7 | 331 | /** |
332 | * Destructor | |
333 | * | |
334 | */ | |
7f759bb7 | 335 | virtual ~ELossFitter(); |
336 | /** | |
337 | * Clear internal arrays | |
338 | * | |
339 | */ | |
340 | void Clear(); | |
341 | /** | |
342 | * Fit a 1-particle signal to the passed energy loss distribution | |
343 | * | |
344 | * Note that this function clears the internal arrays first | |
345 | * | |
346 | * @param dist Data to fit the function to | |
347 | * @param sigman If larger than zero, the initial guess of the | |
348 | * detector induced noise. If zero or less, then this | |
349 | * parameter is ignored in the fit (fixed at 0) | |
350 | * | |
351 | * @return The function fitted to the data | |
352 | */ | |
353 | TF1* Fit1Particle(TH1* dist, Double_t sigman=-1); | |
354 | /** | |
355 | * Fit a N-particle signal to the passed energy loss distribution | |
356 | * | |
357 | * If there's no 1-particle fit present, it does that first | |
358 | * | |
359 | * @param dist Data to fit the function to | |
c389303e | 360 | * @param n Number of particle signals to fit |
7f759bb7 | 361 | * @param sigman If larger than zero, the initial guess of the |
362 | * detector induced noise. If zero or less, then this | |
363 | * parameter is ignored in the fit (fixed at 0) | |
364 | * | |
365 | * @return The function fitted to the data | |
366 | */ | |
367 | TF1* FitNParticle(TH1* dist, UShort_t n, Double_t sigman=-1); | |
368 | ||
369 | ||
370 | const Double_t fLowCut; // Lower cut on data | |
371 | const Double_t fMaxRange; // Maximum range to fit | |
372 | const UShort_t fMinusBins; // Number of bins from maximum to fit 1st peak | |
373 | TObjArray fFitResults; // Array of fit results | |
374 | TObjArray fFunctions; // Array of functions | |
375 | }; | |
0bd4b00f | 376 | /* @} */ |
7f759bb7 | 377 | |
378 | ||
0bd4b00f | 379 | //================================================================== |
380 | /** | |
381 | * @{ | |
382 | * @name Convenience containers | |
383 | */ | |
7e4038b5 | 384 | /** |
385 | * Structure to hold histograms | |
386 | * | |
7c1a1f1d | 387 | * @ingroup pwg2_forward |
7e4038b5 | 388 | */ |
389 | struct Histos : public TObject | |
390 | { | |
391 | /** | |
392 | * Constructor | |
393 | * | |
394 | * | |
395 | */ | |
396 | Histos() : fFMD1i(0), fFMD2i(0), fFMD2o(0), fFMD3i(0), fFMD3o(0) {} | |
397 | /** | |
398 | * Copy constructor | |
399 | * | |
400 | * @param o Object to copy from | |
401 | */ | |
402 | Histos(const Histos& o) | |
403 | : TObject(o), | |
404 | fFMD1i(o.fFMD1i), | |
405 | fFMD2i(o.fFMD2i), | |
406 | fFMD2o(o.fFMD2o), | |
407 | fFMD3i(o.fFMD3i), | |
408 | fFMD3o(o.fFMD3o) | |
409 | {} | |
410 | /** | |
411 | * Assignement operator | |
412 | * | |
413 | * @return Reference to this | |
414 | */ | |
415 | Histos& operator=(const Histos&) { return *this;} | |
416 | /** | |
417 | * Destructor | |
418 | */ | |
419 | ~Histos(); | |
420 | /** | |
421 | * Initialize the object | |
422 | * | |
423 | * @param etaAxis Eta axis to use | |
424 | */ | |
425 | void Init(const TAxis& etaAxis); | |
426 | /** | |
427 | * Make a histogram | |
428 | * | |
429 | * @param d Detector | |
430 | * @param r Ring | |
431 | * @param etaAxis Eta axis to use | |
432 | * | |
433 | * @return Newly allocated histogram | |
434 | */ | |
435 | TH2D* Make(UShort_t d, Char_t r, const TAxis& etaAxis) const; | |
436 | /** | |
437 | * Clear data | |
438 | * | |
439 | * @param option Not used | |
440 | */ | |
441 | void Clear(Option_t* option=""); | |
442 | // const TH2D* Get(UShort_t d, Char_t r) const; | |
443 | /** | |
444 | * Get the histogram for a particular detector,ring | |
445 | * | |
446 | * @param d Detector | |
447 | * @param r Ring | |
448 | * | |
449 | * @return Histogram for detector,ring or nul | |
450 | */ | |
451 | TH2D* Get(UShort_t d, Char_t r) const; | |
452 | TH2D* fFMD1i; // Histogram for FMD1i | |
453 | TH2D* fFMD2i; // Histogram for FMD2i | |
454 | TH2D* fFMD2o; // Histogram for FMD2o | |
455 | TH2D* fFMD3i; // Histogram for FMD3i | |
456 | TH2D* fFMD3o; // Histogram for FMD3o | |
9d99b0dd | 457 | |
458 | ClassDef(Histos,1) | |
7e4038b5 | 459 | }; |
460 | ||
9d99b0dd | 461 | //__________________________________________________________________ |
ca610c5c | 462 | /** |
463 | * Base class for structure holding ring specific histograms | |
464 | * | |
465 | * @ingroup pwg2_forward | |
466 | */ | |
9d99b0dd | 467 | struct RingHistos : public TObject |
468 | { | |
ca610c5c | 469 | /** |
470 | * Constructor | |
471 | * | |
472 | */ | |
9d99b0dd | 473 | RingHistos() : fDet(0), fRing('\0'), fName("") {} |
ca610c5c | 474 | /** |
475 | * | |
476 | * | |
477 | * @param d Detector | |
478 | * @param r Ring | |
479 | */ | |
9d99b0dd | 480 | RingHistos(UShort_t d, Char_t r) |
481 | : fDet(d), fRing(r), fName(TString::Format("FMD%d%c", d, r)) | |
482 | {} | |
ca610c5c | 483 | /** |
484 | * Copy constructor | |
485 | * | |
486 | * @param o Object to copy from | |
487 | */ | |
9d99b0dd | 488 | RingHistos(const RingHistos& o) |
489 | : TObject(o), fDet(o.fDet), fRing(o.fRing), fName(o.fName) | |
490 | {} | |
ca610c5c | 491 | /** |
492 | * | |
493 | */ | |
9d99b0dd | 494 | virtual ~RingHistos() {} |
ca610c5c | 495 | /** |
496 | * Assignement operator | |
497 | * | |
498 | * @param o Object to assign from | |
499 | * | |
500 | * @return Reference to this | |
501 | */ | |
9d99b0dd | 502 | RingHistos& operator=(const RingHistos& o) |
503 | { | |
504 | TObject::operator=(o); | |
505 | fDet = o.fDet; | |
506 | fRing = o.fRing; | |
507 | fName = o.fName; | |
508 | return *this; | |
509 | } | |
ca610c5c | 510 | /** |
7984e5f7 | 511 | * Define the outout list in @a d |
ca610c5c | 512 | * |
7984e5f7 | 513 | * @param d Where to put the output list |
ca610c5c | 514 | * |
7984e5f7 | 515 | * @return Newly allocated TList object or null |
ca610c5c | 516 | */ |
9d99b0dd | 517 | TList* DefineOutputList(TList* d) const; |
ca610c5c | 518 | /** |
7984e5f7 | 519 | * Get our output list from the container @a d |
ca610c5c | 520 | * |
7984e5f7 | 521 | * @param d where to get the output list from |
ca610c5c | 522 | * |
7984e5f7 | 523 | * @return The found TList or null |
ca610c5c | 524 | */ |
9d99b0dd | 525 | TList* GetOutputList(TList* d) const; |
ca610c5c | 526 | /** |
7984e5f7 | 527 | * Find a specific histogram in the source list @a d |
ca610c5c | 528 | * |
7984e5f7 | 529 | * @param d (top)-container |
530 | * @param name Name of histogram | |
ca610c5c | 531 | * |
7984e5f7 | 532 | * @return Found histogram or null |
ca610c5c | 533 | */ |
9d99b0dd | 534 | TH1* GetOutputHist(TList* d, const char* name) const; |
ca610c5c | 535 | /** |
536 | * | |
537 | * | |
538 | * | |
539 | * @return | |
540 | */ | |
7f759bb7 | 541 | Color_t Color() const |
542 | { | |
543 | return ((fDet == 1 ? kRed : (fDet == 2 ? kGreen : kBlue)) | |
544 | + ((fRing == 'I' || fRing == 'i') ? 2 : -2)); | |
545 | } | |
ca610c5c | 546 | UShort_t fDet; // Detector |
547 | Char_t fRing; // Ring | |
548 | TString fName; // Name | |
9d99b0dd | 549 | |
550 | ClassDef(RingHistos,1) | |
551 | }; | |
0bd4b00f | 552 | /* @} */ |
9d99b0dd | 553 | |
7e4038b5 | 554 | }; |
555 | ||
556 | #endif | |
557 | // Local Variables: | |
558 | // mode: C++ | |
559 | // End: | |
560 |