source: Sophya/trunk/SophyaPI/PIext/piafitting.cc@ 897

Last change on this file since 897 was 769, checked in by ercodmgr, 26 years ago

Adaptation Sophya, suppression cvector, classe ObjectFitter - Reza 2/3/2000
File size: 62.5 KB
Line 
1//CMVBUG reste pb suivant sous Linux-egcs (OSF1-cxx c'est ok):
2//openppf cmvwppf.ppf
3//fitw h1g g2 p:4500,45,10,900
4//delobjs h1g
5//clic sur FIT -> OK
6//clic sur FIT 2sd fois -> core dump!!!
7//
8#include <stdio.h>
9#include <stdlib.h>
10#include <ctype.h>
11#include <iostream.h>
12#include <typeinfo>
13
14#include "strutil.h"
15#include "nbtri.h"
16#include "generalfit.h"
17#include "fct1dfit.h"
18#include "fct2dfit.h"
19#include "ntuple.h"
20#include "cimage.h"
21#include "histos.h"
22#include "histos2.h"
23#include "ntuple.h"
24#include "hisprof.h"
25
26#ifdef SANS_EVOLPLANCK
27#include "matrix.h"
28#include "cvector.h"
29#else
30#include "tmatrix.h"
31#include "tvector.h"
32#include "objfitter.h"
33#endif
34
35#include "piafitting.h"
36#include "nobjmgr.h"
37#include "pistdimgapp.h"
38
39////////////////////////////////////////////////////////////////////
40////---------- Classe de fenetre de fit interactive ------------////
41////////////////////////////////////////////////////////////////////
42class PIAFitterWind : public PIWindow {
43public :
44 PIAFitterWind(PIStdImgApp* par, PIAFitter* fiter);
45 virtual ~PIAFitterWind();
46 virtual void Show();
47 virtual void Process(PIMessage msg, PIMsgHandler* sender, void* data=NULL);
48 void SetState(void);
49protected :
50 PIStdImgApp* mDap;
51 PIAFitter* mFitter;
52 PILabel** lab; int nlab;
53 PIText** txt; int ntxt;
54 PIButton** but; int nbut;
55 PICheckBox** ckb; int nckb;
56 PIOptMenu** pom; int npom;
57 bool ReFillGData;
58 int saveI1,saveI2, saveJ1, saveJ2;
59 double ErrValue;
60};
61
62////////////////////////////////////////////////////////////////////////
63// --- Generation automatique du "usage" pour helpfit:
64// 1-/ copier le texte ci-dessous de piafitting.cc dans toto
65// 2-/ cat toto | sed 's?^//?usage+="\\n?' | sed 's?$? ";?'
66// NE PAS EFFACER LA SUITE: c'est elle qui doit etre modifiee,
67// le usage du helpfit sera regenere a l'aide des commandes ci-dessus.
68////////////////////////////////////////////////////////////////////////
69//| --------------- Fit Lineaire a 1 et 2 dimensions ---------------
70//| Syntaxe:
71//| fitlin nom pnn [o:.aa,bb,cc, o;dd,ee,ff o:gg,hh,jj,kk etc...]
72//| avec:
73//| nom : cf commentaire ordre ''fit''
74//| pnn : fit polynome degre nn avec classe Poly (lineaire) 1D ou 2D
75//| o:aa,...,bb : cf commentaires ordre ''fit''
76//|
77////////////////////////////////////////////////////////////////////////
78//| --------------- Fit d'objets a 1 et 2 dimensions ---------------
79//| avec interface d'aide graphique
80//| Syntaxe:
81//| fitw nom func
82//| [p:p1,p2,...,pn s:s1,s2,...,sn m:m1,m2,...,mn M:M1,mM2,...,Mn f:f1,...,fn]
83//| [o:.aa,bb,cc, o;dd,ee,ff o:gg,hh,jj,kk etc...]
84//| cf commentaire ordre ''fit''
85//|
86////////////////////////////////////////////////////////////////////////
87//| --------------- Fit d'objets a 1 et 2 dimensions ---------------
88//| Syntaxe:
89//| fit nom func
90//| [p:p1,p2,...,pn s:s1,s2,...,sn m:m1,m2,...,mn M:M1,mM2,...,Mn f:f1,...,fn]
91//| [o:.aa,bb,cc, o;dd,ee,ff o:gg,hh,jj,kk etc...]
92//|----- OBJET -----
93//| nom : nom de l'objet qui peut etre:
94//| fit-1D: Vector,Histo1D,HProf ou GeneraFitData(1D)
95//| fit-2D: Matrix,Histo2D,Image<T> ou GeneraFitData(2D)
96//|
97//|----- FUNCTION -----
98//| func : pnn : fit polynome degre nn avec GeneralFit (non-lineaire) 1D ou 2D
99//| : gnn : fit gaussienne (hauteur) + polynome de degre nn 1D
100//| : g : fit gaussienne (hauteur) 1D
101//| : enn : fit exponentielle + polynome de degre nn 1D
102//| : e : fit exponentielle 1D
103//| : Gnn : fit gaussienne (volume) + polynome de degre nn 1D
104//| : G : fit gaussienne (volume) 1D
105//| : : fit gaussienne+fond (volume) 2D
106//| : Gi : fit gaussienne+fond integree (volume) 2D
107//| : d : fit DL de gaussienne+fond (volume) 2D
108//| : di : fit DL de gaussienne+fond integree (volume) 2D
109//| : D : fit DL de gaussienne+fond avec coeff variable p6 (volume) 2D
110//| : Di : fit DL de gaussienne+fond integree avec coeff variable p6 (volume) 2D
111//| : M : fit Moffat+fond (expos=p6) (volume) 2D
112//| : Mi : fit Moffat+fond integree (expos=p6) (volume) 2D
113//| : Autre : fonction definie par l'utilisateur (cf commentaires ci apres)
114//|
115//|----- INIT PARAMETRES ET ETAT DU FIT -----
116//| p : p1,...,pn : valeur d'initialisation des parametres (def=0)
117//| s : s1,...,sn : valeur des steps de depart (def=1)
118//| m : m1,...,mn : valeur des minima (def=1)
119//| M : M1,...,Mn : valeur des maxima (def=-1) (max<=min : pas de limite)
120//| f : f1,...,fn : si >=1 parametre fixe sinon libre (def=0)
121//| - Remarque: si pi,si,mi ou Mi = '!' la valeur correspondante n'est pas changee
122//|
123//|----- OPTIONS -----
124//| o : options ''o:Eaa.b,eaa.b,f,r,caa.b,Xaa.b''
125//| F : initialisation a partir des resultats et de l'etat du fit precedent
126//| (option non prioritaire sur les definitions p:,s:,m:,M:,f:o:)
127//| a : initialisation automatique des parametres du fit (si disponible)
128//| (option non prioritaire sur les definitions p:,s:,m:,M:,f:o:
129//| et sur l'initialisation pa l'option ''F'')
130//| f : generation d'un Objet identique contenant la fonction fittee
131//| r : generation d'un Objet identique contenant les residus
132//| Xaa.b : aa.b valeur du DXi2 d'arret (def=1.e-3)
133//| Naa : aa nombre maximum d'iterations (def=100)
134//| la : niveau ''a'' de print: a=niveau de print Fit1/2D
135//| da : niveau ''a'' de debug: a=niveau de GeneralFit
136//| Ii1/i2 : numeros des bins X de l'histos utilises pour le fit [i1,i2]
137//|2D Jj1/j2 : numeros des bins Y de l'histos utilises pour le fit [j1,j2]
138//| - L'erreur est celle associee a l'objet (si elle existe),
139//| elle est mise a 1 sinon, sauf si E... ou e... est precise:
140//| Eaa.b : si |val|>=1 erreur = aa.b*sqrt(|val|)
141//| si |val|<1 erreur = aa.b
142//| si aa.b <=0 alors aa.b=1.0
143//| E seul est equivalent a E1.0
144//| eaa.b : erreur = aa.b
145//| si aa.b <=0 alors aa.b=1.0
146//| e seul est equivalent a e1.0
147//| xaa.b : demande de centrage: on fit x-aa.b au lieu de x)
148//| x : demande de centrage: on fit x-xc au lieu de x
149//| avec xc=abscisse du milieu de l'histogramme
150//| Actif pour exp+poly 1D, poly 1D
151//| Pour gauss+poly 1D, xc est le centre de la gaussienne.
152//|2D yaa.b et y : idem ''xaa.b et x'' mais pour y
153//|
154////////////////////////////////////////////////////////////////////////
155//| --------------- Def des fcts de fit par l'utilisateur ---------------
156//| Pour definir une fonction parametree utilisateur:
157//| Un exemple de fichier contenant des fonctions a fitter: PIext/userfitfunex.c
158//| > crfitfil nom_fichier nom_fonction nvar npar
159//| pour creer un squelette de fichier C contenant la fonction a fitter
160//| nom_fichier : nom du fichier ou est le code de la fonction
161//| c'est un fichier C de nom blabla.c
162//| nom_fonction : nom de la fonction ex: gauss2
163//| nvar : nombre de variables x[] (1D=1, 2D=2, etc...)
164//| npar : nombre de parametre p[]
165//| - La fonction est donc F(x[];p[]), soit par ex:
166//| double gauss2(double const* x,double const* p)
167//| - L'utilisateur a la possibilite de donner egalement la fonction
168//| retournant les derivees de la fonction par rapport aux parametres
169//| double gauss2_der(double const* x,double const* p,double* dp)
170//| ou dp[i] = dF(x[];p[])/dp[i]
171//| Par convention, cette fonction a le meme nom suivi de ''_der''
172//| > crfitfun nom_fichier nom_fonction nvar npar
173//| Permet de compiler le fichier ''nom_fichier'' et de linker
174//| la fonction ''nom_fonction''
175//| - Un meme fichier peut contenir plusieurs fonctions a fitter
176//|
177////////////////////////////////////////////////////////////////////////
178
179/* --Methode-- */
180PIAFitter::PIAFitter(PIACmd *piac, PIStdImgApp* app)
181: mApp(app), FWindFit(NULL)
182, mNObj(""), mObj(NULL), mGData(NULL)
183, mNPar(0), mNVar(0), mNBinX(0), mNBinY(0), mNData(0)
184, mPar(1), mStep(1), mMin(1), mMax(1), mFix(1)
185, mParSave(1), mStepSave(1), mMinSave(1), mMaxSave(1), mFixSave(1)
186, mFit(NULL)
187, mV(NULL), mH(NULL), mM(NULL), mH2(NULL), mIm(NULL), mG(NULL)
188, mFunction(NULL), mFName(""), mFunc(NULL)
189, mDlUFunc(NULL), mNameFitFunc(""), mFitFunc(NULL), mFitFuncDer(NULL)
190, mUFNVar(0), mUFNPar(0)
191{
192// Init et Set des options
193mPar=0.; mStep=1.; mMin=1.; mMax=-1.; mFix=0.;
194mParSave=0.; mStepSave=1.; mMinSave=1.; mMaxSave=-1.; mFixSave=0.;
195ResetOptions();
196mOptSave = mOpt;
197
198// enregistrement des ordres de fit
199string kw, usage, grp = "Fitting";
200
201kw = "helpfit";
202usage="";
203usage+="\n////////////////////////////////////////////////////////////////////// ";
204usage+="\n| --------------- Fit Lineaire a 1 et 2 dimensions --------------- ";
205usage+="\n| Syntaxe: ";
206usage+="\n| fitlin nom pnn [o:.aa,bb,cc, o;dd,ee,ff o:gg,hh,jj,kk etc...] ";
207usage+="\n| avec: ";
208usage+="\n| nom : cf commentaire ordre ''fit'' ";
209usage+="\n| pnn : fit polynome degre nn avec classe Poly (lineaire) 1D ou 2D ";
210usage+="\n| o:aa,...,bb : cf commentaires ordre ''fit'' ";
211usage+="\n| ";
212usage+="\n////////////////////////////////////////////////////////////////////// ";
213usage+="\n| --------------- Fit d'objets a 1 et 2 dimensions --------------- ";
214usage+="\n| avec interface d'aide graphique ";
215usage+="\n| Syntaxe: ";
216usage+="\n| fitw nom func ";
217usage+="\n| [p:p1,p2,...,pn s:s1,s2,...,sn m:m1,m2,...,mn M:M1,mM2,...,Mn f:f1,...,fn] ";
218usage+="\n| [o:.aa,bb,cc, o;dd,ee,ff o:gg,hh,jj,kk etc...] ";
219usage+="\n| cf commentaire ordre ''fit'' ";
220usage+="\n| ";
221usage+="\n////////////////////////////////////////////////////////////////////// ";
222usage+="\n| --------------- Fit d'objets a 1 et 2 dimensions --------------- ";
223usage+="\n| Syntaxe: ";
224usage+="\n| fit nom func ";
225usage+="\n| [p:p1,p2,...,pn s:s1,s2,...,sn m:m1,m2,...,mn M:M1,mM2,...,Mn f:f1,...,fn] ";
226usage+="\n| [o:.aa,bb,cc, o;dd,ee,ff o:gg,hh,jj,kk etc...] ";
227usage+="\n|----- OBJET ----- ";
228usage+="\n| nom : nom de l'objet qui peut etre: ";
229usage+="\n| fit-1D: Vector,Histo1D,HProf ou GeneraFitData(1D) ";
230usage+="\n| fit-2D: Matrix,Histo2D,Image<T> ou GeneraFitData(2D) ";
231usage+="\n| ";
232usage+="\n|----- FUNCTION ----- ";
233usage+="\n| func : pnn : fit polynome degre nn avec GeneralFit (non-lineaire) 1D ou 2D ";
234usage+="\n| : gnn : fit gaussienne (hauteur) + polynome de degre nn 1D ";
235usage+="\n| : g : fit gaussienne (hauteur) 1D ";
236usage+="\n| : enn : fit exponentielle + polynome de degre nn 1D ";
237usage+="\n| : e : fit exponentielle 1D ";
238usage+="\n| : Gnn : fit gaussienne (volume) + polynome de degre nn 1D ";
239usage+="\n| : G : fit gaussienne (volume) 1D ";
240usage+="\n| : : fit gaussienne+fond (volume) 2D ";
241usage+="\n| : Gi : fit gaussienne+fond integree (volume) 2D ";
242usage+="\n| : d : fit DL de gaussienne+fond (volume) 2D ";
243usage+="\n| : di : fit DL de gaussienne+fond integree (volume) 2D ";
244usage+="\n| : D : fit DL de gaussienne+fond avec coeff variable p6 (volume) 2D ";
245usage+="\n| : Di : fit DL de gaussienne+fond integree avec coeff variable p6 (volume) 2D ";
246usage+="\n| : M : fit Moffat+fond (expos=p6) (volume) 2D ";
247usage+="\n| : Mi : fit Moffat+fond integree (expos=p6) (volume) 2D ";
248usage+="\n| : Autre : fonction definie par l'utilisateur (cf commentaires ci apres) ";
249usage+="\n| ";
250usage+="\n|----- INIT PARAMETRES ET ETAT DU FIT ----- ";
251usage+="\n| p : p1,...,pn : valeur d'initialisation des parametres (def=0) ";
252usage+="\n| s : s1,...,sn : valeur des steps de depart (def=1) ";
253usage+="\n| m : m1,...,mn : valeur des minima (def=1) ";
254usage+="\n| M : M1,...,Mn : valeur des maxima (def=-1) (max<=min : pas de limite) ";
255usage+="\n| f : f1,...,fn : si >=1 parametre fixe sinon libre (def=0) ";
256usage+="\n| - Remarque: si pi,si,mi ou Mi = '!' la valeur correspondante n'est pas changee ";
257usage+="\n| ";
258usage+="\n|----- OPTIONS ----- ";
259usage+="\n| o : options ''o:Eaa.b,eaa.b,f,r,caa.b,Xaa.b'' ";
260usage+="\n| F : initialisation a partir des resultats et de l'etat du fit precedent ";
261usage+="\n| (option non prioritaire sur les definitions p:,s:,m:,M:,f:o:) ";
262usage+="\n| a : initialisation automatique des parametres du fit (si disponible) ";
263usage+="\n| (option non prioritaire sur les definitions p:,s:,m:,M:,f:o: ";
264usage+="\n| et sur l'initialisation pa l'option ''F'') ";
265usage+="\n| f : generation d'un Objet identique contenant la fonction fittee ";
266usage+="\n| r : generation d'un Objet identique contenant les residus ";
267usage+="\n| Xaa.b : aa.b valeur du DXi2 d'arret (def=1.e-3) ";
268usage+="\n| Naa : aa nombre maximum d'iterations (def=100) ";
269usage+="\n| la : niveau ''a'' de print: a=niveau de print Fit1/2D ";
270usage+="\n| da : niveau ''a'' de debug: a=niveau de GeneralFit ";
271usage+="\n| Ii1/i2 : numeros des bins X de l'histos utilises pour le fit [i1,i2] ";
272usage+="\n|2D Jj1/j2 : numeros des bins Y de l'histos utilises pour le fit [j1,j2] ";
273usage+="\n| - L'erreur est celle associee a l'objet (si elle existe), ";
274usage+="\n| elle est mise a 1 sinon, sauf si E... ou e... est precise: ";
275usage+="\n| Eaa.b : si |val|>=1 erreur = aa.b*sqrt(|val|) ";
276usage+="\n| si |val|<1 erreur = aa.b ";
277usage+="\n| si aa.b <=0 alors aa.b=1.0 ";
278usage+="\n| E seul est equivalent a E1.0 ";
279usage+="\n| eaa.b : erreur = aa.b ";
280usage+="\n| si aa.b <=0 alors aa.b=1.0 ";
281usage+="\n| e seul est equivalent a e1.0 ";
282usage+="\n| xaa.b : demande de centrage: on fit x-aa.b au lieu de x) ";
283usage+="\n| x : demande de centrage: on fit x-xc au lieu de x ";
284usage+="\n| avec xc=abscisse du milieu de l'histogramme ";
285usage+="\n| Actif pour exp+poly 1D, poly 1D ";
286usage+="\n| Pour gauss+poly 1D, xc est le centre de la gaussienne. ";
287usage+="\n|2D yaa.b et y : idem ''xaa.b et x'' mais pour y ";
288usage+="\n| ";
289usage+="\n////////////////////////////////////////////////////////////////////// ";
290usage+="\n| --------------- Def des fcts de fit par l'utilisateur --------------- ";
291usage+="\n| Pour definir une fonction parametree utilisateur: ";
292usage+="\n| Un exemple de fichier contenant des fonctions a fitter: PIext/userfitfunex.c ";
293usage+="\n| > crfitfil nom_fichier nom_fonction nvar npar ";
294usage+="\n| pour creer un squelette de fichier C contenant la fonction a fitter ";
295usage+="\n| nom_fichier : nom du fichier ou est le code de la fonction ";
296usage+="\n| c'est un fichier C de nom blabla.c ";
297usage+="\n| nom_fonction : nom de la fonction ex: gauss2 ";
298usage+="\n| nvar : nombre de variables x[] (1D=1, 2D=2, etc...) ";
299usage+="\n| npar : nombre de parametre p[] ";
300usage+="\n| - La fonction est donc F(x[];p[]), soit par ex: ";
301usage+="\n| double gauss2(double const* x,double const* p) ";
302usage+="\n| - L'utilisateur a la possibilite de donner egalement la fonction ";
303usage+="\n| retournant les derivees de la fonction par rapport aux parametres ";
304usage+="\n| double gauss2_der(double const* x,double const* p,double* dp) ";
305usage+="\n| ou dp[i] = dF(x[];p[])/dp[i] ";
306usage+="\n| Par convention, cette fonction a le meme nom suivi de ''_der'' ";
307usage+="\n| > crfitfun nom_fichier nom_fonction nvar npar ";
308usage+="\n| Permet de compiler le fichier ''nom_fichier'' et de linker ";
309usage+="\n| la fonction ''nom_fonction'' ";
310usage+="\n| - Un meme fichier peut contenir plusieurs fonctions a fitter ";
311usage+="\n| ";
312usage+="\n////////////////////////////////////////////////////////////////////// ";
313piac->RegisterHelp(kw,usage,grp);
314
315kw = "fit";
316usage = "Fitting function to DataObjects (Histo, Histo2D, Vector, ...)";
317usage += "\n Usage: fit nomobj func [Options]";
318usage += "\n [p:p1,...,pn s:s1,...,sn m:m1,...,mn M:M1,...,Mn o:... o:...]";
319usage += "\n Related commands: fitw fitlin crfitfun crfitfil";
320piac->RegisterCommand(kw,usage,this,grp);
321
322kw = "fitw";
323usage = "Fitting function to DataObjects with Interactive Window Help";
324usage += "\n Usage: fitw nomobj func [Options]";
325usage += "\n [p:p1,...,pn s:s1,...,sn m:m1,...,mn M:M1,...,Mn o:... o:...]";
326usage += "\n Related commands: fit fitlin crfitfun crfitfil";
327piac->RegisterCommand(kw,usage,this,grp);
328
329kw = "fitlin";
330usage = "Linear Fitting of Polynoms to DataObjects";
331usage += "\n Usage: fitlin nomobj func [o:... o:...]";
332usage += "\n Related commands: fit fitw crfitfun crfitfil";
333piac->RegisterCommand(kw,usage,this,grp);
334
335kw = "crfitfun";
336usage = "Creation et link de function utilisateur pour le fit";
337usage += "\n Usage: crfitfun file func nvar npar";
338usage += "\n Related commands: fit fitw fitlin crfitfil";
339piac->RegisterCommand(kw,usage,this,grp);
340
341kw = "crfitfil";
342usage = "Creation de fichier C pour function utilisateur du fit";
343usage += "\n Usage: crfitfil file func nvar npar";
344usage += "\n Related commands: fit fitw fitlin crfitfun";
345piac->RegisterCommand(kw,usage,this,grp);
346}
347
348/* --Methode-- */
349PIAFitter::~PIAFitter()
350{
351if(mFit != NULL) {delete mFit; mFit=NULL;}
352if(mFunction != NULL) {delete mFunction; mFunction=NULL;}
353if(mFunc != NULL) {delete mFunc; mFunc=NULL;}
354if(mGData != NULL) {delete mGData; mGData=NULL;}
355if(FWindFit != NULL) {delete FWindFit; FWindFit=NULL;}
356if (mDlUFunc != NULL) {delete mDlUFunc; mDlUFunc=NULL;}
357}
358
359/* --Methode-- */
360void PIAFitter::ResetDPointer(void)
361// Reset des pointeurs sur les donnees
362{
363mNObj = ""; mObj=NULL;
364mV=NULL; mH=NULL; mM=NULL; mH2=NULL; mIm=NULL; mG=NULL;
365}
366
367/* --Methode-- */
368void PIAFitter::ResetOptions(void)
369// Reset des options
370{
371mOpt.okres = mOpt.okfun = false;
372mOpt.polcx = mOpt.polcy = 0;
373mOpt.xc = mOpt.yc = 0.;
374mOpt.stc2 = 1.e-3;
375mOpt.nstep = 100;
376mOpt.err_e = mOpt.err_E = -1.;
377mOpt.lp = 1; mOpt.lpg = 0;
378mOpt.i1 = mOpt.j1 = mOpt.i2 = mOpt.j2 = -1;
379mOpt.fromlastfit = false;
380mOpt.autoinifit = false;
381}
382
383/* --Methode-- */
384void PIAFitter::DecodeOptions(string opt)
385// Decodage des options a partir des chaines de caracteres
386{
387ResetOptions();
388if(opt.length()<=0) return;
389
390size_t p,q; string dum;
391opt = "," + opt + ",";
392
393if(strstr(opt.c_str(),",F,")) // init options/param a partir du fit precedent
394 {mOpt = mOptSave; mOpt.fromlastfit = true;}
395if(strstr(opt.c_str(),",a,")) mOpt.autoinifit = true; // init auto par fit
396if(strstr(opt.c_str(),",r,")) mOpt.okres = true; // residus
397if(strstr(opt.c_str(),",f,")) mOpt.okfun = true; // fonction fittee
398if(strstr(opt.c_str(),",x")) { // Demande de centrage (fit X=x-xc)
399 mOpt.polcx = 2; // Le centrage est calcule automatiquement
400 p = opt.find(",x"); q = opt.find_first_of(',',p+1);
401 dum = opt.substr(p,q-p);
402 if(dum.length()>2) {
403 sscanf(dum.c_str(),",x%lf",&mOpt.xc);
404 mOpt.polcx = 1; // Le centrage est fixe par la valeur lue
405 }
406}
407if(strstr(opt.c_str(),",y")) { // Demande de centrage (fit Y=y-yc)
408 mOpt.polcy = 2; // Le centrage est calcule automatiquement
409 p = opt.find(",y"); q = opt.find_first_of(',',p+1);
410 dum = opt.substr(p,q-p);
411 if(dum.length()>2) {
412 sscanf(dum.c_str(),",y%lf",&mOpt.yc);
413 mOpt.polcy = 1; // Le centrage est fixe par la valeur lue
414 }
415}
416if(strstr(opt.c_str(),",E")) { // Erreurs imposees a "sqrt(val)" ou "aa.b*sqrt(val)"
417 p = opt.find(",E"); q = opt.find_first_of(',',p+1);
418 dum = opt.substr(p,q-p);
419 if(dum.length()>2) sscanf(dum.c_str(),",E%lf",&mOpt.err_E);
420 if(mOpt.err_E<=0.) mOpt.err_E = 1.; //mOpt.err_e=-1.;
421}
422if(strstr(opt.c_str(),",e")) { // Erreurs imposees a "1" ou "aa.b"
423 p = opt.find(",e"); q = opt.find_first_of(',',p+1);
424 dum = opt.substr(p,q-p);
425 if(dum.length()>2) sscanf(dum.c_str(),",e%lf",&mOpt.err_e);
426 if(mOpt.err_e<=0.) mOpt.err_e = 1.; //mOpt.err_E=-1.;
427}
428if(strstr(opt.c_str(),",X")) { // Valeur du StopChi2
429 p = opt.find(",X"); q = opt.find_first_of(',',p+1);
430 dum = opt.substr(p,q-p);
431 if(dum.length()>2) sscanf(dum.c_str(),",X%lf",&mOpt.stc2);
432}
433if(strstr(opt.c_str(),",N")) { // Nombre maximum d'iterations
434 p = opt.find(",N"); q = opt.find_first_of(',',p+1);
435 dum = opt.substr(p,q-p);
436 if(dum.length()>2) sscanf(dum.c_str(),",N%d",&mOpt.nstep);
437}
438if(strstr(opt.c_str(),",l")) { // niveau de print
439 p = opt.find(",l"); q = opt.find_first_of(',',p+1);
440 dum = opt.substr(p,q-p);
441 if(dum.length()>2) sscanf(dum.c_str(),",l%d",&mOpt.lp);
442}
443if(strstr(opt.c_str(),",d")) { // niveau de debug du fit
444 p = opt.find(",d"); q = opt.find_first_of(',',p+1);
445 dum = opt.substr(p,q-p);
446 if(dum.length()>2) sscanf(dum.c_str(),",d%d",&mOpt.lpg);
447}
448if(strstr(opt.c_str(),",I")) { // intervalle de fit selon X
449 p = opt.find(",I"); q = opt.find_first_of(',',p+1);
450 dum = opt.substr(p,q-p);
451 if(dum.length()>2) sscanf(dum.c_str(),",I%d/%d",&mOpt.i1,&mOpt.i2);
452}
453if(strstr(opt.c_str(),",J")) { // intervalle de fit selon Y
454 p = opt.find(",J"); q = opt.find_first_of(',',p+1);
455 dum = opt.substr(p,q-p);
456 if(dum.length()>2) sscanf(dum.c_str(),",J%d/%d",&mOpt.j1,&mOpt.j2);
457}
458
459return;
460}
461
462/* --Methode-- */
463void PIAFitter::DecodeObject(string obj)
464// Decodage de l'objet a fitter
465{
466NamedObjMgr omg;
467AnyDataObj* mobj = omg.GetObj(obj);
468if(mobj == NULL)
469 {cout<<"PIAFitter::DecodeObject Error , Pas d'objet de nom "<<obj<<endl;
470 return;}
471
472// Reset
473ResetDPointer();
474mNVar = mNBinX = mNBinY = mNData = 0;
475
476mObj = mobj; mNObj = obj;
477string ctyp = typeid(*mObj).name();
478
479// 1D
480if (typeid(*mObj) == typeid(Vector)) {
481 mNVar = 1;
482 mV = (Vector*) mObj; mNBinX = mV->NElts(); mNBinY = 1;
483 }
484else if ( (typeid(*mObj) == typeid(HProf)) || (typeid(*mObj) == typeid(Histo)) ) {
485 mNVar = 1;
486 mH = (Histo*) mObj; mNBinX = mH->NBins(); mNBinY = 1;
487 }
488// 2D
489else if (typeid(*mObj) == typeid(Matrix)) {
490 mNVar = 2;
491 mM = (Matrix*) mObj; mNBinX = mM->NCol(); mNBinY =mM->NRows();
492 }
493else if (typeid(*mObj) == typeid(Histo2D)) {
494 mNVar = 2;
495 mH2 = (Histo2D*) mObj; mNBinX = mH2->NBinX(); mNBinY = mH2->NBinY();
496 }
497else if (typeid(*mObj) == typeid(GeneralFitData)) {
498 mG = (GeneralFitData*) mObj; mNBinX = mG->NData(); mNBinY = 1;
499 if( mG->NVar()==1) mNVar = 1;
500 else if(mG->NVar()==2) mNVar = 2;
501 else
502 {cout<<"PIAFitter::DecodeObject Error: \n"
503 <<" GeneralFitData ne peut avoir que 1 ou 2 variables d'abscisse: "
504 <<((GeneralFitData*) mObj)->NVar()<<endl;
505 return;}
506 }
507#ifdef SANS_EVOLPLANCK
508else if (dynamic_cast<RzImage*>(mObj)) {
509 mNVar = 2;
510 mIm = (RzImage*) mObj; mNBinX = mIm->XSize(); mNBinY = mIm->YSize();
511 }
512#else
513//CMV_A_FAIRE else if (dynamic_cast<RzImage*>(mObj)) {
514//CMV_A_FAIRE mNVar = 2;
515//CMV_A_FAIRE mIm = (RzImage*) mObj; mNBinX = mIm->XSize(); mNBinY = mIm->YSize();
516//CMV_A_FAIRE }
517#endif
518else {
519 cout<<"PIAFitter::DecodeObject Error , Objet n'est pas un "
520 <<"Histo1D/HProf/Vector/Histo2D/Image/Matrix/GeneralFitData "<<ctyp<<endl;
521 return;
522 }
523
524mNData = mNBinX*mNBinY;
525if(mNData<=0) {
526 cout<<"L'objet a "<<mNBinX<<","<<mNBinY<<" bins ("<<mNData<<")"<<endl;
527 return;
528}
529
530return;
531}
532
533/* --Methode-- */
534void PIAFitter::CheckOptions(void)
535// Check consistence des choix des options
536// ATTENTION: cette methode a besoin que l'objet a fitter soit deja lu
537{
538if(mOpt.lp<0) mOpt.lp = 0;
539if(mOpt.lpg<0) mOpt.lpg = 0;
540mOpt.i1 = (mOpt.i1<0||mOpt.i1>=mNBinX)? 0: mOpt.i1;
541mOpt.i2 = (mOpt.i2<0||mOpt.i2>=mNBinX||mOpt.i2<=mOpt.i1)? mNBinX-1: mOpt.i2;
542if(mNVar>=2) {
543 mOpt.j1 = (mOpt.j1<0||mOpt.j1>=mNBinY)? 0: mOpt.j1;
544 mOpt.j2 = (mOpt.j2<0||mOpt.j2>=mNBinY||mOpt.j2<=mOpt.j1)? mNBinY-1: mOpt.j2;
545} else mOpt.j2 = mOpt.j1 = 0;
546if(mOpt.polcx==2) {
547 if(mV||mM) mOpt.xc = (mOpt.i2-mOpt.i1+1)/2.;
548 else if(mH) mOpt.xc = (mH->XMin()+mH->XMax())/2.;
549 else if(mH2) mOpt.xc = (mH2->XMin()+mH2->XMax())/2.;
550 else if(mG) {double mini,maxi; mG->GetMinMax(2,mini,maxi); mOpt.xc=(mini+maxi)/2.;}
551 else if(mIm) {mOpt.xc = mIm->XOrg() * mIm->XPxSize()*(mOpt.i2-mOpt.i1+1)/2.;}
552}
553if(mOpt.polcy==2 && mNVar>=2) {
554 if(mM) mOpt.yc = (mOpt.j2-mOpt.j1+1)/2.;
555 if(mH2) mOpt.yc = (mH2->YMin()+mH2->YMax())/2.;
556 if(mG) {double mini,maxi; mG->GetMinMax(12,mini,maxi); mOpt.yc=(mini+maxi)/2.;}
557 if(mIm) {mOpt.yc = mIm->YOrg() * mIm->YPxSize()*(mOpt.j2-mOpt.j1+1)/2.;}
558}
559if(mOpt.err_e>0.) mOpt.err_E=-1.;
560if(mOpt.err_E>0.) mOpt.err_e =-1.;
561if(mOpt.stc2<=0.) mOpt.stc2 = 1.e-3;
562if(mOpt.nstep<2) mOpt.nstep = 100;
563
564return;
565}
566
567/* --Methode-- */
568void PIAFitter::PrintOptions(void)
569// Print des options
570{
571cout<<"Fit["<<mNBinX<<","<<mNBinY<<"] ("<<mNData<<") dim="<<mNVar<<":"
572 <<" Int=["<<mOpt.i1<<","<<mOpt.i2<<"],["<<mOpt.j1<<","<<mOpt.j2<<"]"<<endl
573 <<" Cent="<<mOpt.polcx<<","<<mOpt.polcy<<","<<mOpt.xc<<"+x"<<","<<mOpt.yc<<"+y"
574 <<" TypE="<<mOpt.err_e<<","<<mOpt.err_E
575 <<" StpX2="<<mOpt.stc2<<" Nstep="<<mOpt.nstep<<endl
576 <<" Init.LFit="<<mOpt.fromlastfit<<" AutoIni.Fit="<<mOpt.autoinifit
577 <<" lp,lpg="<<mOpt.lp<<","<<mOpt.lpg<<endl;
578return;
579}
580
581/* --Methode-- */
582void PIAFitter::FillGData(void)
583// Fill generalfitdata pour le fit
584// ATTENTION: cette methode a besoin que les options soient decodees et checkees
585{
586if(mNData<=0) return;
587if(mGData!=NULL) {delete mGData; mGData=NULL;}
588mGData = new GeneralFitData(mNVar,mNData,0);
589
590for(int i=mOpt.i1;i<=mOpt.i2;i++) for(int j=mOpt.j1;j<=mOpt.j2;j++) {
591 double x,y=0.,f,e;
592
593 if(mV)
594 {x= (double) i; f=(*mV)(i); e=1.;}
595 else if(mH)
596 {x=mH->BinCenter(i); f=(*mH)(i); e=(mH->HasErrors())?mH->Error(i):1.;}
597 else if(mM)
598 {x=(double) i; y=(double) j; f=(*mM)(j,i); e=1.;}
599 else if(mH2)
600 {float xf,yf; mH2->BinCenter(i,j,xf,yf); x=(double)xf; y=(double)yf;
601 f=(*mH2)(i,j); e=(mH2->HasErrors())?mH2->Error(i,j):1.;}
602 else if(mIm)
603 {x=mIm->XOrg()+(i+0.5)*mIm->XPxSize(); y=mIm->YOrg()+(j+0.5)*mIm->YPxSize();
604 f=mIm->DValue(i,j); e=1.;}
605 else if(mG&&mNVar==1) {x= mG->X(i); f=mG->Val(i); e=mG->EVal(i);}
606 else if(mG&&mNVar==2) {x= mG->X(i); y=mG->Y(i); f=mG->Val(i); e=mG->EVal(i);}
607 else x=y=f=e=0.;
608
609 // Gestion des erreurs a utiliser
610 if(mOpt.err_e>0.) e=mOpt.err_e;
611 else if(mOpt.err_E>0.) {e=(f<-1.||f>1.)?mOpt.err_E*sqrt(fabs(f)):mOpt.err_E;}
612
613 // Remplissage de generalfitdata
614 if(mFName[0]=='p') {x -= mOpt.xc; if(mNVar>=2) y -= mOpt.yc;}
615 if(mNVar==1) mGData->AddData1(x,f,e);
616 else if(mNVar==2) mGData->AddData2(x,y,f,e);
617}
618
619if(mGData->NData()<=0) {
620 cout<<"Pas de donnees dans GeneralFitData: "<<mGData->NData()<<endl;
621 return;
622}
623
624if(mOpt.lpg>1) {
625 mGData->PrintStatus();
626 mGData->PrintData(0);
627 mGData->PrintData(mGData->NData()-1);
628}
629
630return;
631}
632
633/* --Methode-- */
634void PIAFitter::DecodeFunction(string func)
635// Fonction a fitter
636// ATTENTION: cette methode a besoin que les donnees soient lues
637{
638if(func.length()<=0)
639 {cout<<"PIAFitter::DecodeFunction Donnez un nom de fonction a fitter."<<endl;
640 return;}
641if(mFunction!=NULL) {delete mFunction; mFunction=NULL;}
642if(mFunc !=NULL) {delete mFunc; mFunc=NULL;}
643mNPar=0; mFName = "";
644
645if(func == mNameFitFunc) { // Fonction utilisateur
646 mFunc = new GeneralFunc(mUFNVar,mUFNPar,mFitFunc,mFitFuncDer);
647 mNPar = mUFNPar;
648 cout<<"Fonction utilisateur nvar="<<mUFNVar<<", npar="<<mNPar<<endl;
649} else if(func[0]=='p' && mNVar==1) { //polynome
650 int degre=0; if(func.length()>1) sscanf(func.c_str()+1,"%d",&degre);
651 cout<<"Fit polynome 1D de degre "<<degre<<endl;
652 Polyn1D* myf = new Polyn1D(degre,mOpt.xc);
653 mFunction = myf; mNPar = mFunction->NPar(); mFName = func;
654
655} else if(func[0]=='e' && mNVar==1) { //exponentielle
656 int degre=-1; if(func.length()>1) sscanf(func.c_str()+1,"%d",&degre);
657 cout<<"Fit d'exponentielle+polynome 1D de degre "<<degre<<endl;
658 Exp1DPol* myf;
659 if(degre>=0) myf = new Exp1DPol((unsigned int)degre,mOpt.xc);
660 else myf = new Exp1DPol(mOpt.xc);
661 mFunction = myf; mNPar = mFunction->NPar(); mFName = func;
662
663} else if(func[0]=='g' && mNVar==1) { //gaussienne en hauteur
664 int degre=-1; if(func.length()>1) sscanf(func.c_str()+1,"%d",&degre);
665 cout<<"Fit de Gaussienne_en_hauteur+polynome 1D de degre "<<degre<<endl;
666 Gauss1DPol* myf;
667 if(degre>=0) myf = new Gauss1DPol((unsigned int)degre,((mOpt.polcx)?true:false));
668 else { bool bfg = (mOpt.polcx)?true:false; myf = new Gauss1DPol(bfg); }
669 mFunction = myf; mNPar = mFunction->NPar(); mFName = func;
670
671} else if(func[0]=='G' && mNVar==1) { //gaussienne en volume
672 int degre=-1; if(func.length()>1) sscanf(func.c_str()+1,"%d",&degre);
673 cout<<"Fit de Gaussienne_en_volume+polynome 1D de degre "<<degre<<endl;
674 GaussN1DPol* myf;
675 if(degre>=0) myf = new GaussN1DPol((unsigned int)degre,((mOpt.polcx)?true:false));
676 else { bool bfg = (mOpt.polcx)?true:false; myf = new GaussN1DPol(bfg); }
677 mFunction = myf; mNPar = mFunction->NPar(); mFName = func;
678
679} else if(func[0]=='p' && mNVar==2) { //polynome 2D
680 int degre=0; if(func.length()>1) sscanf(func.c_str()+1,"%d",&degre);
681 cout<<"Fit polynome 2D de degre "<<degre<<endl;
682 Polyn2D* myf = new Polyn2D(degre,mOpt.xc,mOpt.yc);
683 mFunction = myf; mNPar = mFunction->NPar(); mFName = func;
684
685} else if(func[0]=='G' && mNVar==2) { //gaussienne+fond en volume
686 int integ=0; if(func.length()>1) if(func[1]=='i') integ=1;
687 cout<<"Fit de Gaussienne+Fond 2D integ="<<integ<<endl;
688 if(integ) {GauRhInt2D* myf = new GauRhInt2D; mFunction = myf;}
689 else {GauRho2D* myf = new GauRho2D; mFunction = myf;}
690 mNPar = mFunction->NPar(); mFName = func;
691
692} else if(func[0]=='d' && mNVar==2) { //DL gaussienne+fond en volume
693 int integ=0; if(func.length()>1) if(func[1]=='i') integ=1;
694 cout<<"Fit de DL de Gaussienne+Fond 2D integ="<<integ<<endl;
695 if(integ) {GdlRhInt2D* myf = new GdlRhInt2D; mFunction = myf;}
696 else {GdlRho2D* myf = new GdlRho2D; mFunction = myf;}
697 mNPar = mFunction->NPar(); mFName = func;
698
699} else if(func[0]=='D' && mNVar==2) { //DL gaussienne+fond avec coeff variable p6 en volume
700 int integ=0; if(func.length()>1) if(func[1]=='i') integ=1;
701 cout<<"Fit de DL de Gaussienne+Fond avec coeff variable (p6) 2D integ="<<integ<<endl;
702 if(integ) {Gdl1RhInt2D* myf = new Gdl1RhInt2D; mFunction = myf;}
703 else {Gdl1Rho2D* myf = new Gdl1Rho2D; mFunction = myf;}
704 mNPar = mFunction->NPar(); mFName = func;
705
706} else if(func[0]=='M' && mNVar==2) { //Moffat+fond (volume)
707 int integ=0; if(func.length()>1) if(func[1]=='i') integ=1;
708 cout<<"Fit de Moffat+Fond (expos=p6) 2D integ="<<integ<<endl;
709 if(integ) {MofRhInt2D* myf = new MofRhInt2D; mFunction = myf;}
710 else {MofRho2D* myf = new MofRho2D; mFunction = myf;}
711 mNPar = mFunction->NPar(); mFName = func;
712
713} else {
714 cout<<"Fonction "<<func<<" inconnue pour la dim "<<mNVar<<endl;
715 return;
716}
717
718return;
719}
720
721/* --Methode-- */
722void PIAFitter::ReSetParam(void)
723// Pour (re)dimensionner les tableaux des parametres
724// ATTENTION: cette methode a besoin que la fonction soit connue
725{
726if(mNPar==0) return;
727mPar.Realloc(mNPar); mPar=0.;
728mStep.Realloc(mNPar); mStep=1.;
729mMin.Realloc(mNPar); mMin=1.;
730mMax.Realloc(mNPar); mMax=-1.;
731mFix.Realloc(mNPar); mFix=0.;
732return;
733}
734
735/* --Methode-- */
736void PIAFitter::AutoIniFit(void)
737// Initialisation automatique des parametres du fit
738{
739if(mFunc) { // Fonction utilisateur
740 cout<<"PIAFitter::AutoIniFit : Fonction utilisateur, pas d'init auto"<<endl;
741} else if(mFName[0]=='p' && mNVar==1) { //poly 1D
742 cout<<"PIAFitter::AutoIniFit : Auto Init type polynome 1D"<<endl;
743 IniFitP1ou2D();
744
745} else if(mFName[0]=='g' && mNVar==1) { //gauss en haut 1D
746 cout<<"PIAFitter::AutoIniFit : Auto Init type gauss_haut+pol 1D"<<endl;
747 IniFitGhP1D();
748
749} else if(mFName[0]=='G' && mNVar==1) { //gauss en vol 1D
750 cout<<"PIAFitter::AutoIniFit : Auto Init type gauss_vol+pol 1D"<<endl;
751 IniFitGvP1D();
752
753} else if(mFName[0]=='p' && mNVar==2) { //poly 2D
754 cout<<"PIAFitter::AutoIniFit : Auto Init type polynome 2D"<<endl;
755 IniFitP1ou2D();
756
757} else if((mFName[0]=='G'||mFName[0]=='d') && mNVar==2) { //gauss+fond en vol
758 cout<<"PIAFitter::AutoIniFit : Auto Init type gauss_vol+fond 2D"<<endl;
759 IniFitGv2D();
760
761} else if(mFName[0]=='D' && mNVar==2) { //DLgauss+fond en vol 2D
762 cout<<"PIAFitter::AutoIniFit : Auto Init type DLgauss_vol+fond 2D"<<endl;
763 IniFitGv2D();
764 Vector dum(mNPar);
765 dum = mPar; mPar(6)=0.5; mPar(7)=dum(6);
766 dum = mStep; mStep(6)=0.05; mStep(7)=dum(6);
767 dum = mMin; mMin(6)=0.; mMin(7)=dum(6);
768 dum = mMax; mMax(6)=10.; mMax(7)=dum(6);
769 dum = mFix; mFix(6)=1.1; mFix(7)=dum(6);
770
771} else if(mFName[0]=='M' && mNVar==2) { //Moffat+fond en vol 2D
772 cout<<"PIAFitter::AutoIniFit : Auto Init type moffat_vol+fond 2D"<<endl;
773 IniFitGv2D();
774 Vector dum(mNPar);
775 dum = mPar; mPar(6)=2.5; mPar(7)=dum(6);
776 dum = mStep; mStep(6)=0.05; mStep(7)=dum(6);
777 dum = mMin; mMin(6)=1.2; mMin(7)=dum(6);
778 dum = mMax; mMax(6)=10.; mMax(7)=dum(6);
779 dum = mFix; mFix(6)=1.1; mFix(7)=dum(6);
780
781} else {
782 cout<<"PIAFitter::AutoIniFit : Fonction "<<mFName
783 <<", \n pas d'init auto en dim "<<mNVar<<endl;
784 return;
785}
786
787return;
788}
789
790/* --Methode-- */
791void PIAFitter::InitParFromLastFit(void)
792// Initialisation du fit a partir des resultats du fit precedent
793// (Les arguments de la ligne de commande sont prioritaires)
794// ATTENTION: cette methode a besoin que la fonction soit connue
795{
796if(mNPar==0) return;
797int n = mParSave.NElts();
798if(n==0) return;
799
800for(int i=0;i<mNPar;i++) {
801 if(i>=n) break;
802 mPar(i) = mParSave(i);
803 mStep(i) = mStepSave(i);
804 mMin(i) = mMinSave(i);
805 mMax(i) = mMaxSave(i);
806 mFix(i) = mFixSave(i);
807}
808
809return;
810}
811
812/* --Methode-- */
813void PIAFitter::DecodeParam(string par,string step,string min,string max,string fix)
814// Decodage des parametres
815// ATTENTION: cette methode a besoin que la fonction soit connue
816// et que les options soient decodees
817{
818if(mNPar==0) return;
819ReSetParam();
820if(mOpt.autoinifit) AutoIniFit();
821if(mOpt.fromlastfit) InitParFromLastFit();
822Vector* v=NULL; string* s=NULL;
823for(int j=0;j<5;j++) {
824 if(j==0) {v=&mPar; s=&par;} else if(j==1) {v=&mStep; s=&step;}
825 else if(j==2) {v=&mMin; s=&min;} else if(j==3) {v=&mMax; s=&max;}
826 else if(j==4) {v=&mFix; s=&fix;}
827 if(s->length()>0) *s += ",";
828 for(int i=0;i<mNPar;i++) {
829 if(s->length()<=0) break;
830 if((*s)[0]!='!') sscanf(s->c_str(),"%lf",&(*v)(i));
831 size_t p = s->find_first_of(',') + 1;
832 if(p>=s->length()) *s = ""; else *s = s->substr(p);
833 }
834}
835return;
836}
837
838/* --Methode-- */
839int PIAFitter::DoFit(void)
840// Fit avec generalfit
841{
842if(mNPar==0) return -1000;
843if((mFunction==NULL && mFunc==NULL) || mGData==NULL) {
844 cout<<"PIAFitter::DoFit error: mFunction,mFunc="<<mFunction<<","<<mFunc
845 <<" mGData="<<mGData<<endl;
846 return -1001;
847}
848// classe GeneraFit
849if(mFit != NULL) {delete mFit; mFit= NULL;}
850if(mFunction) mFit = new GeneralFit(mFunction);
851 else if(mFunc) mFit = new GeneralFit(mFunc);
852if(!mFit) return(-1002);
853
854// Options et Set de GeneralFit
855mFit->SetDebug(mOpt.lpg);
856mFit->SetData(mGData);
857mFit->SetStopChi2(mOpt.stc2);
858mFit->SetMaxStep(mOpt.nstep);
859{for(int i=0;i<mNPar;i++) {
860 char str[10];
861 sprintf(str,"P%d",i);
862 mFit->SetParam(i,str,mPar(i),mStep(i),mMin(i),mMax(i));
863 if((int)(mFix(i)+0.001)>=1.) mFit->SetFix(i);
864}}
865if(mOpt.lp>1) mFit->PrintFit();
866
867// Fit
868mParSave = mPar;
869mStepSave = mStep; mMinSave = mMin; mMaxSave = mMax; mFixSave = mFix;
870mOptSave = mOpt;
871double c2r = -1.;
872int rcfit = mFit->Fit();
873if(mOpt.lp>0) mFit->PrintFit();
874if(rcfit>0) {
875 c2r = mFit->GetChi2Red();
876 cout<<"C2r_Reduit = "<<c2r<<" nstep="<<mFit->GetNStep()<<" rc="<<rcfit<<endl;
877 for(int i=0;i<mNPar;i++) mParSave(i)=mFit->GetParm(i);
878} else {
879 cout<<"echec Fit, rc = "<<rcfit<<" nstep="<<mFit->GetNStep()<<endl;
880 mFit->PrintFitErr(rcfit);
881}
882
883return rcfit;
884}
885
886/* --Methode-- */
887void PIAFitter::FitFunRes(void)
888// Mise a disposition des resultats (fonction fitee et residus)
889{
890if(mFit && (mOpt.okres||mOpt.okfun)) {
891 NamedObjMgr omg;
892 string nomres = mNObj + "_res";
893 string nomfun = mNObj + "_fun";
894//####################
895#ifdef SANS_EVOLPLANCK
896//####################
897 if(mV) {
898 if(mOpt.okres) {Vector* ob = mV->FitResidus(*mFit); if(ob) omg.AddObj(ob,nomres);}
899 if(mOpt.okfun) {Vector* ob = mV->FitFunction(*mFit); if(ob) omg.AddObj(ob,nomfun);}
900 } else if(mH) {
901 if(mOpt.okres) {Histo* ob = mH->FitResidus(*mFit); if(ob) omg.AddObj(ob,nomres);}
902 if(mOpt.okfun) {Histo* ob = mH->FitFunction(*mFit); if(ob) omg.AddObj(ob,nomfun);}
903 } else if(mM) {
904 if(mOpt.okres) {Matrix* ob = mM->FitResidus(*mFit); if(ob) omg.AddObj(ob,nomres);}
905 if(mOpt.okfun) {Matrix* ob = mM->FitFunction(*mFit); if(ob) omg.AddObj(ob,nomfun);}
906 } else if(mH2) {
907 if(mOpt.okres)
908 {Histo2D* ob = mH2->FitResidus(*mFit); if(ob) omg.AddObj(ob,nomres);}
909 if(mOpt.okfun)
910 {Histo2D* ob = mH2->FitFunction(*mFit); if(ob) omg.AddObj(ob,nomfun);}
911 } else if(mIm) {
912 if(mOpt.okres) {
913 RzImage* ob = mIm->FitResidus(*mFit);
914 if(ob) {ImageR4* rob = new ImageR4(*ob); omg.AddObj(rob,nomres); delete ob;}
915 }
916 if(mOpt.okfun) {
917 RzImage* ob = mIm->FitFunction(*mFit);
918 if(ob) {ImageR4* rob = new ImageR4(*ob); omg.AddObj(rob,nomfun); delete ob;}
919 }
920 } else if(mG) {
921 if(mOpt.okres)
922 {GeneralFitData* ob = mG->FitResidus(*mFit); if(ob) omg.AddObj(ob,nomres);}
923 if(mOpt.okfun)
924 {GeneralFitData* ob = mG->FitFunction(*mFit); if(ob) omg.AddObj(ob,nomfun);}
925 }
926//####################
927#else
928//####################
929 if(mV) {
930 if(mOpt.okres) {
931 Vector* ob = new Vector(ObjectFitter::FitResidus(*mV, *mFit),true);
932 if(ob) omg.AddObj(ob,nomres);
933 }
934 if(mOpt.okfun) {
935 Vector* ob = new Vector(ObjectFitter::FitFunction(*mV, *mFit),true);
936 if(ob) omg.AddObj(ob,nomfun);
937 }
938 } else if(mH) {
939 if(mOpt.okres) {Histo* ob = new Histo(mH->FitResidus(*mFit)); if(ob) omg.AddObj(ob,nomres);}
940 if(mOpt.okfun) {Histo* ob = new Histo(mH->FitFunction(*mFit)); if(ob) omg.AddObj(ob,nomfun);}
941 } else if(mM) {
942 if(mOpt.okres) {
943 Matrix* ob = new Matrix(ObjectFitter::FitResidus(*mM, *mFit), true);
944 if(ob) omg.AddObj(ob,nomres);
945 }
946 if(mOpt.okfun) {
947 Matrix* ob = new Matrix(ObjectFitter::FitFunction(*mM, *mFit), true);
948 if(ob) omg.AddObj(ob,nomfun);
949 }
950 } else if(mH2) {
951 if(mOpt.okres)
952 {Histo2D* ob = new Histo2D(mH2->FitResidus(*mFit)); if(ob) omg.AddObj(ob,nomres);}
953 if(mOpt.okfun)
954 {Histo2D* ob = new Histo2D(mH2->FitFunction(*mFit)); if(ob) omg.AddObj(ob,nomfun);}
955//CMV_A_FAIRE } else if(mIm) {
956//CMV_A_FAIRE if(mOpt.okres) {
957//CMV_A_FAIRE RzImage* ob = mIm->FitResidus(*mFit);
958//CMV_A_FAIRE if(ob) {ImageR4* rob = new ImageR4(*ob); omg.AddObj(rob,nomres); delete ob;}
959//CMV _A_FAIRE }
960//CMV_A_FAIRE if(mOpt.okfun) {
961//CMV_A_FAIRE RzImage* ob = mIm->FitFunction(*mFit);
962//CMV_A_FAIRE if(ob) {ImageR4* rob = new ImageR4(*ob); omg.AddObj(rob,nomfun); delete ob;}
963//CMV_A_FAIRE }
964 } else if(mG) {
965 if(mOpt.okres)
966 {GeneralFitData* ob = new GeneralFitData(mG->FitResidus(*mFit)); if(ob) omg.AddObj(ob,nomres);}
967 if(mOpt.okfun)
968 {GeneralFitData* ob = new GeneralFitData(mG->FitFunction(*mFit)); if(ob) omg.AddObj(ob,nomfun);}
969 }
970//####################
971#endif
972//####################
973}
974return;
975}
976
977/* --Methode-- */
978void PIAFitter::LinFit(void)
979// Fit lineaire de polynomes
980{
981if(mFName.length()<=0)
982 {cout<<"PIAFitter::LinFit Donnez un nom de fonction a fitter."<<endl;
983 return;}
984if(!mGData)
985 {cout<<"PIAFitter::LinFit pas de Data."<<endl; return;}
986if(mFName[0]!='p')
987 {cout<<"PIAFitter::LinFit fonction non prevue "<<mFName<<endl;
988 return;}
989int degre = 0;
990if(mFName.length()>1) sscanf(mFName.c_str()+1,"%d",&degre);
991
992if(mNVar==1) { // Fit lineaire de polynome 1D
993 cout<<"Fit (lineaire) 1D polynome de degre "<<degre<<endl;
994 Poly p1(0);
995 double c2rl = mGData->PolFit(0,p1,degre);
996 cout<<"C2r_lineaire = "<<c2rl<<endl;
997 if(mOpt.lp>0) cout<<p1<<endl;
998} else if(mNVar==2) { // Fit lineaire de polynome 2D
999 cout<<"Fit (lineaire) polynome 2D de degre "<<degre<<endl;
1000 Poly2 p2(0);
1001 double c2rl = mGData->PolFit(0,1,p2,degre);
1002 cout<<"C2r_lineaire = "<<c2rl<<endl;
1003 if(mOpt.lp>0) cout<<p2<<endl;
1004}
1005
1006return;
1007}
1008
1009/* --Methode-- */
1010void PIAFitter::LinkFitFunc(string const& fname, string const& funcname
1011 ,int nvar,int npar)
1012// Compilation et link dynamique de la fonction a fitter
1013{
1014if(nvar<1 || npar<1) return;
1015if(mDlUFunc != NULL) {delete mDlUFunc; mDlUFunc=NULL;}
1016mFitFunc = NULL; mFitFuncDer = NULL;
1017mUFNVar= mUFNPar = 0; mNameFitFunc = "";
1018
1019// On compile le fichier C, on fabrique un .so et on l'ouvre
1020mDlUFunc = PDynLinkMgr::BuildFromCFile(fname);
1021if(mDlUFunc == NULL)
1022 {cerr<<"PIAFitter::LinkFitFunc() Erreur building .so "<<endl; return;}
1023
1024// On recupere la fonction de fit
1025mFitFunc = (DlUserFitFunc) mDlUFunc->GetFunction(funcname);
1026if(mFitFunc == NULL) // Probleme, on n'a pas trouve etc ...
1027 {cerr<<"PIAFitter::LinkFitFunc() Erreur linking function"<<funcname<<endl;
1028 delete mDlUFunc; mDlUFunc = NULL; return;}
1029
1030// On recupere la fonction des derivees
1031string fnameder = funcname+"_der";
1032mFitFuncDer = (DlUserFitFuncDer) mDlUFunc->GetFunction(fnameder);
1033if(mFitFuncDer == NULL)
1034 {cout<<"PIAFitter::LinkFitFunc() No derive for"<<fnameder<<endl;}
1035
1036// Variables et pointeurs definissant le link a la fonction utilisateur
1037mNameFitFunc = funcname;
1038mUFNVar = nvar;
1039mUFNPar = npar;
1040cout<<"PIAFitter::LinkFitFunc() UserFitFunc="<<mNameFitFunc
1041 <<" NVar="<<mUFNVar<<" NPar="<<mUFNPar<<endl;
1042
1043return;
1044}
1045
1046/* --Methode-- */
1047void PIAFitter::PrepareFitFuncCFile(string const& fname, string const& funcname
1048 , int nvar, int npar)
1049// Pour ecrire un squelette des fichier C avec pour une fonction a fitter
1050{
1051if(fname.length()<=0 || funcname.length()<=0 || nvar<=0 || npar <=0) {
1052 cerr<<"PIAFitter::PrepareFitFuncCFile: error "
1053 <<" nvar="<<nvar<<" npar="<<npar<<endl
1054 <<" file_name="<<fname<<" func_name="<<funcname<<endl
1055 <<" ---- No File Created ! ----"<<endl;
1056 return;
1057}
1058
1059FILE* fip = fopen(fname.c_str(),"w");
1060if(fip==NULL)
1061 {cerr<<"PIAFitter::PrepareFitFuncCFile: error opening file for writing\n"
1062 <<fname<<endl; return;}
1063
1064fprintf(fip,"#include <stdio.h>\n#include <stdlib.h>\n#include <math.h>\n\n");
1065fprintf(fip,"/* - many functions can be written in this file: */\n");
1066fprintf(fip,"/* here is an exemple for creation of function %s */\n\n"
1067 ,funcname.c_str());
1068fprintf(fip,"double %s(double const* x,double const* p)\n",funcname.c_str());
1069fprintf(fip,"/* Function : F(x[0-%d];p[0-%d]) */\n",nvar-1,npar-1);
1070fprintf(fip,"/* variables x1=x[0],x2=x[1],...,x%d=x[%d] */\n",nvar,nvar-1);
1071fprintf(fip,"/* parameters p1=p[0],p2=p[1],...,p%d=p[%d] */\n",nvar,nvar-1);
1072fprintf(fip,"{\n val = F(x[];p[]);\n return(val);\n}\n\n");
1073string fder = funcname + "_der";
1074fprintf(fip,"/* That function is optional */\n");
1075fprintf(fip,"/*\n");
1076fprintf(fip,"double %s(double const* x,double const* p,double* dp)\n",fder.c_str());
1077fprintf(fip,"{\n");
1078for(int i=0;i<npar;i++) fprintf(fip," dp[%d] = dF(x[];p[])/dp[%d]\n",i,i);
1079fprintf(fip," val = F(x[];p[]);\n return(val);\n}\n\n");
1080fprintf(fip,"*/\n");
1081
1082fclose(fip);
1083}
1084
1085/* --Methode-- */
1086int PIAFitter::Execute(string& kw, vector<string>& tokens)
1087// Execution des commandes de fit : "fit" et "fitw"
1088{
1089////// Les commandes pour creer les fonctions de fit utilisateur
1090if(kw == "crfitfil") {
1091 if (tokens.size() < 4)
1092 {cout<<"Usage:crfitfil filename funcname nvar npar"<<endl;return(-1);}
1093 int nvar = atoi(tokens[2].c_str()), npar = atoi(tokens[3].c_str());
1094 PrepareFitFuncCFile(tokens[0],tokens[1],nvar,npar);
1095 return(0);
1096} else if (kw == "crfitfun") {
1097 if (tokens.size() < 4)
1098 {cout<<"Usage:crfitfun filename funcname nvar npar"<<endl;return(-1);}
1099 int nvar = atoi(tokens[2].c_str()), npar = atoi(tokens[3].c_str());
1100 LinkFitFunc(tokens[0],tokens[1],nvar,npar);
1101 return(0);
1102}
1103
1104////// Les commandes pour fitter
1105if(tokens.size() < 2) {
1106 cout
1107 <<"Usage:fit nomobj func [Options]\n"
1108 <<" ou fitw nomobj func [Options]\n"
1109 <<" avec Options: [p:p1,...,pn s:s1,...,sn m:m1,...,mn \n"
1110 <<" M:M1,...,Mn f:f1,...,fn o:.,.,. o:.,.,.]\n"
1111 <<" ou fitlin nomobj func [o:.,.,. o:.,.,.]\n";
1112 return(-1);
1113}
1114
1115// decodage des arguments de la commande
1116string mSp,mSs,mSm,mSM,mSf,mSo;
1117mSp=""; mSs=""; mSm=""; mSM=""; mSf=""; mSo="";
1118if(tokens.size()>2)
1119 for(int ip=2;ip<(int)tokens.size();ip++) {
1120 if(tokens[ip].length()<=2) continue;
1121 const char *c = tokens[ip].c_str();
1122 if(c[1]!=':') continue;
1123 if(c[0]=='p') mSp=c+2;
1124 else if(c[0]=='s') mSs=c+2;
1125 else if(c[0]=='m') mSm=c+2;
1126 else if(c[0]=='M') mSM=c+2;
1127 else if(c[0]=='f') mSf=c+2;
1128 else if(c[0]=='o') {mSo += ","; mSo += c+2;}
1129 }
1130
1131// Execution des commandes
1132DecodeOptions(mSo);
1133DecodeObject(tokens[0]);
1134CheckOptions();
1135if(mOpt.lp>0) PrintOptions();
1136FillGData();
1137DecodeFunction(tokens[1]);
1138DecodeParam(mSp,mSs,mSm,mSM,mSf);
1139if (kw == "fit") {
1140 int rc = DoFit();
1141 if(rc>=0) FitFunRes();
1142} else if (kw == "fitlin") {
1143 LinFit();
1144} else if (kw == "fitw") {
1145 if(FWindFit!=NULL) {delete FWindFit; FWindFit=NULL;}
1146 FWindFit = new PIAFitterWind(mApp,this);
1147 FWindFit->Show();
1148}
1149
1150return(0);
1151}
1152
1153/* --Methode-- */
1154void PIAFitter::IniFitP1ou2D(void)
1155{
1156if(mNPar==0) return;
1157mPar=0.; mStep=1.; mMin=1.; mMax=-1.; mFix=0.;
1158if(!mGData) return;
1159double mean,sigma;
1160int rc = mGData->GetMeanSigma(0,mean,sigma);
1161if(rc<=0) return;
1162mPar(0) = mean;
1163return;
1164}
1165
1166void PIAFitter::IniFitGhP1D(void)
1167{
1168if(mNPar==0) return;
1169mPar=0.; mStep=1.; mMin=1.; mMax=-1.; mFix=0.;
1170if(mNVar!=1 || mNPar<3) return;
1171double h,v,x0,y0,sx,sy,f;
1172int rc = IniFitGaus(*mGData,h,v,x0,y0,sx,sy,f);
1173if(rc!=0) return;
1174mPar(0)=h; mStep(0)=h/1000.;
1175mPar(1)=x0; mStep(1)=sx/10.;
1176mPar(2)=sx; mStep(2)=sx/10.; mMin(2)=0.; mMax(2)=20.*sx;
1177if(mNPar>3) {mPar(3)=f; mStep(3)=f/1000.;} else mPar(0)=h+f;
1178}
1179
1180void PIAFitter::IniFitGvP1D(void)
1181{
1182if(mNPar==0) return;
1183mPar=0.; mStep=1.; mMin=1.; mMax=-1.; mFix=0.;
1184if(mNVar!=1 || mNPar<3) return;
1185double h,v,x0,y0,sx,sy,f;
1186int rc = IniFitGaus(*mGData,h,v,x0,y0,sx,sy,f);
1187if(rc!=0) return;
1188mPar(0)=v; mStep(0)=v/1000.;
1189mPar(1)=x0; mStep(1)=sx/10.;
1190mPar(2)=sx; mStep(2)=sx/10.; mMin(2)=0.; mMax(2)=20.*sx;
1191if(mNPar>3) {mPar(3)=f; mStep(3)=f/1000.;} else mPar(0)=v+mNData*f;
1192}
1193
1194void PIAFitter::IniFitGv2D(void)
1195{
1196if(mNPar==0) return;
1197mPar=0.; mStep=1.; mMin=1.; mMax=-1.; mFix=0.;
1198if(mNVar!=2 || mNPar<6) return;
1199double h,v,x0,y0,sx,sy,f;
1200int rc = IniFitGaus(*mGData,h,v,x0,y0,sx,sy,f);
1201if(rc!=0) return;
1202mPar(0)=v; mStep(0)=v/1000.;
1203mPar(1)=x0; mStep(1)=sx/10.;
1204mPar(2)=y0; mStep(2)=sy/10.;
1205mPar(3)=sx; mStep(3)=sx/10.; mMin(3)=0.; mMax(3)=20.*sx;
1206mPar(4)=sy; mStep(4)=sy/10.; mMin(4)=0.; mMax(4)=20.*sy;
1207mPar(5)=0.; mStep(5)=0.005; mMin(5)=-1.; mMax(5)=1.;
1208if(mNPar>6) {mPar(6)=f; mStep(6)=f/1000.;} else mPar(0)=v+mNData*f;
1209}
1210
1211int PIAFitter::IniFitGaus(GeneralFitData& g,double& h,double& v
1212 ,double& x0,double& y0,double& sx,double& sy,double& f)
1213// Pour initialiser une gaussienne 1D ou 2D
1214// return code =0 si OK
1215{
1216h=v=x0=y0=sx=sy=f=0.;
1217if(!&g) return(-1);
1218int nvar = g.NVar();
1219int ndata = g.NData();
1220if(nvar<1 || 2<nvar || ndata<=0) return(-2);
1221
1222// X et Y ordonnees croissant
1223double *X=NULL, *Y=NULL;
1224X = new double[ndata];
1225if(nvar==2) Y = new double[ndata];
1226{for(int i=0;i<ndata;i++) {X[i] = g.X(i); if(Y) Y[i] = g.Y(i);}}
1227qsort(X,(size_t) ndata,sizeof(double),qSort_Dble);
1228if(Y) qsort(Y,(size_t) ndata,sizeof(double),qSort_Dble);
1229
1230// determination des zones externes=[0,1/3] et [2/3,1]
1231// et des zones internes=[1/3,2/3]
1232int k1=ndata/3,k2=2*ndata/3;
1233double xmin,xmax, ymin=-1.,ymax=1.;
1234xmin = X[k1]; xmax = X[k2];
1235if(Y) {ymin = Y[k1]; ymax = Y[k2];}
1236
1237// recherche des parametres
1238double nb=0, nc=0;
1239{for(int i=0;i<ndata;i++) {
1240 double val,x,y=0.;
1241 x = g.X(i); if(Y) y = g.Y(i); val = g.Val(i);
1242 if(xmin<x && x<xmax && ymin<y && y<ymax) { // c'est le centre
1243 if(nc==0 || val>h) {h=val; x0=x; y0=y;}
1244 v += val; nc++;
1245 } else {f += val; nb++;} // c'est le bord
1246
1247}}
1248if(nb==0 || nc==0) {delete [] X; if(Y) delete [] Y; return(-3);}
1249
1250// Calcul des parametres
1251f /= (double) nb; h -= f; v -= f*nc;
1252sx = (xmax-xmin)/2.; if(Y) sy = (ymax-ymin)/2.;
1253
1254delete [] X; if(Y) delete [] Y;
1255return(0);
1256}
1257
1258
1259////////////////////////////////////////////////////////////////////
1260////---------- Classe de fenetre de fit interactive ------------////
1261////////////////////////////////////////////////////////////////////
1262
1263/* --Methode-- */
1264PIAFitterWind::PIAFitterWind(PIStdImgApp* par, PIAFitter* fiter)
1265: PIWindow((PIMsgHandler*)par, "PIAFitter", PIWK_normal, 240, 240, 150, 150)
1266, mDap(par), mFitter(fiter), ReFillGData(false)
1267, saveI1(0), saveI2(0), saveJ1(0), saveJ2(0), ErrValue(1.)
1268{
1269#ifdef SANS_EVOLPLANCK
1270COMPATIBLE_ASSERT(mFitter);
1271#else
1272ASSERT(mFitter);
1273#endif
1274
1275int npar = mFitter->mNPar;
1276
1277// Alloc de la taille
1278nlab = 13+npar; lab = new PILabel*[nlab]; {for(int i=0;i<nlab;i++) lab[i]=NULL;}
1279ntxt = 10+4*npar; txt = new PIText*[ntxt]; {for(int i=0;i<ntxt;i++) txt[i]=NULL;}
1280nbut = 6; but = new PIButton*[nbut]; {for(int i=0;i<nbut;i++) but[i]=NULL;}
1281nckb = 2+npar; ckb = new PICheckBox*[nckb]; {for(int i=0;i<nckb;i++) ckb[i]=NULL;}
1282npom = 3; pom = new PIOptMenu*[npom]; {for(int i=0;i<npom;i++) pom[i]=NULL;}
1283
1284// On definit la taille a partir de la taille par defaut des composantes
1285// bsx,bsy = environ 6 lettres
1286int bsx,bsy;
1287par->PrefCompSz(bsx, bsy);
1288int spx = (bsx>=10) ? bsx/10 : 1; // intervalle entre lettres X
1289int spy = (bsy>=6) ? bsy/6 : 1; // intervalle entre lettres Y
1290
1291int wszx = (5*bsx+5*spx)+spx;
1292int wszy = 8*(bsy+spy)+npar*(bsy+spy)+2*spy;
1293SetSize(wszx, wszy);
1294int cpx,cpy;
1295
1296// new ligne
1297cpx = spx; cpy = spy;
1298string dum = "Object: "+mFitter->mNObj+" , Fun: ";
1299if(mFitter->mFunc) dum+=mFitter->mNameFitFunc; else dum+=mFitter->mFName;
1300lab[0] = new PILabel(this,dum.c_str(),4*bsx,bsy,cpx,cpy);
1301lab[0]->SetBinding(PIBK_elastic,PIBK_elastic, PIBK_elastic,PIBK_elastic);
1302
1303// new ligne
1304cpx = spx; cpy += bsy+spy;
1305but[0] = new PIButton(this,"Fr.Last",111,bsx,bsy,cpx,cpy);
1306but[0]->SetBinding(PIBK_elastic,PIBK_elastic, PIBK_elastic,PIBK_elastic);
1307cpx += bsx+spx;
1308but[1] = new PIButton(this,"Default",222,bsx,bsy,cpx,cpy);
1309but[1]->SetBinding(PIBK_elastic,PIBK_elastic, PIBK_elastic,PIBK_elastic);
1310cpx += bsx+spx;
1311ckb[0] = new PICheckBox(this,"Gen Fun",1001,bsx,bsy,cpx,cpy);
1312ckb[0]->SetBinding(PIBK_elastic,PIBK_elastic, PIBK_elastic,PIBK_elastic);
1313cpx += bsx+2*spx;
1314ckb[1] = new PICheckBox(this,"Res",1002,bsx,bsy,cpx,cpy);
1315ckb[1]->SetBinding(PIBK_elastic,PIBK_elastic, PIBK_elastic,PIBK_elastic);
1316
1317// new ligne
1318cpx = spx; cpy += bsy+spy;
1319pom[0] = new PIOptMenu(this,"Err def",1.5*bsx,bsy,cpx,cpy);
1320 pom[0]->AppendItem("Err def",2101);
1321 pom[0]->AppendItem("Err cste",2102);
1322 pom[0]->AppendItem("Err sqrt",2103);
1323 pom[0]->SetValue(2101);
1324pom[0]->SetBinding(PIBK_elastic,PIBK_elastic, PIBK_elastic,PIBK_elastic);
1325cpx += int(1.5*bsx+spx);
1326txt[0] = new PIText(this,"",bsx,bsy,cpx,cpy);
1327txt[0]->SetBinding(PIBK_elastic,PIBK_elastic, PIBK_elastic,PIBK_elastic);
1328cpx += bsx+spx;
1329lab[1] = new PILabel(this,"Prt,dbg",bsx,bsy,cpx,cpy);
1330lab[1]->SetBinding(PIBK_elastic,PIBK_elastic, PIBK_elastic,PIBK_elastic);
1331cpx += bsx+spx;
1332txt[1] = new PIText(this,"",bsx,bsy,cpx,cpy);
1333txt[1]->SetBinding(PIBK_elastic,PIBK_elastic, PIBK_elastic,PIBK_elastic);
1334
1335// new ligne
1336cpx = spx; cpy += bsy+spy;
1337lab[2] = new PILabel(this,"Stop Xi2",1.25*bsx,bsy,cpx,cpy);
1338lab[2]->SetBinding(PIBK_elastic,PIBK_elastic, PIBK_elastic,PIBK_elastic);
1339cpx += int(1.25*bsx+spx);
1340txt[2] = new PIText(this,"",bsx,bsy,cpx,cpy);
1341txt[2]->SetBinding(PIBK_elastic,PIBK_elastic, PIBK_elastic,PIBK_elastic);
1342cpx += bsx+spx;
1343lab[3] = new PILabel(this,"Iter",bsx, bsy, cpx, cpy);
1344lab[3]->SetBinding(PIBK_elastic,PIBK_elastic, PIBK_elastic,PIBK_elastic);
1345cpx += bsx+spx;
1346txt[3] = new PIText(this,"",bsx,bsy,cpx,cpy);
1347txt[3]->SetBinding(PIBK_elastic,PIBK_elastic, PIBK_elastic,PIBK_elastic);
1348
1349// new ligne
1350cpx = spx; cpy += bsy+spy;
1351lab[4] = new PILabel(this,"Range X",bsx,bsy,cpx,cpy);
1352lab[4]->SetBinding(PIBK_elastic,PIBK_elastic, PIBK_elastic,PIBK_elastic);
1353cpx += bsx+spx;
1354txt[4] = new PIText(this,"",0.75*bsx,bsy,cpx,cpy);
1355txt[4]->SetBinding(PIBK_elastic,PIBK_elastic, PIBK_elastic,PIBK_elastic);
1356cpx += int(0.75*bsx+spx);
1357txt[5] = new PIText(this,"",0.75*bsx,bsy,cpx,cpy);
1358txt[5]->SetBinding(PIBK_elastic,PIBK_elastic, PIBK_elastic,PIBK_elastic);
1359cpx += int(0.75*bsx+spx);
1360lab[5] = new PILabel(this,"Y",bsx/2,bsy,cpx,cpy);
1361lab[5]->SetBinding(PIBK_elastic,PIBK_elastic, PIBK_elastic,PIBK_elastic);
1362cpx += int(bsx/2.+spx);
1363txt[6] = new PIText(this,"",0.75*bsx,bsy,cpx,cpy);
1364txt[6]->SetBinding(PIBK_elastic,PIBK_elastic, PIBK_elastic,PIBK_elastic);
1365cpx += int(0.75*bsx+spx);
1366txt[7] = new PIText(this,"",0.75*bsx,bsy,cpx,cpy);
1367txt[7]->SetBinding(PIBK_elastic,PIBK_elastic, PIBK_elastic,PIBK_elastic);
1368
1369// new ligne
1370cpx = spx; cpy += bsy+spy;
1371lab[6] = new PILabel(this,"Cent",bsx/2,bsy,cpx,cpy);
1372lab[6]->SetBinding(PIBK_elastic,PIBK_elastic, PIBK_elastic,PIBK_elastic);
1373cpx += int(bsx/2.+spx);
1374pom[1] = new PIOptMenu(this,"X.No",1.25*bsx,bsy,cpx,cpy);
1375 pom[1]->AppendItem("X.No",2001);
1376 pom[1]->AppendItem("X.Value",2002);
1377 pom[1]->AppendItem("X.Auto",2003);
1378 pom[1]->SetValue(2001);
1379pom[1]->SetBinding(PIBK_elastic,PIBK_elastic, PIBK_elastic,PIBK_elastic);
1380cpx += int(1.25*bsx+spx);
1381txt[8] = new PIText(this,"",bsx,bsy,cpx,cpy);
1382txt[8]->SetBinding(PIBK_elastic,PIBK_elastic, PIBK_elastic,PIBK_elastic);
1383cpx += bsx+spx;
1384pom[2] = new PIOptMenu(this,"Y.No",1.25*bsx,bsy,cpx,cpy);
1385 pom[2]->AppendItem("Y.No",2011);
1386 pom[2]->AppendItem("Y.Value",2012);
1387 pom[2]->AppendItem("Y.Auto",2013);
1388 pom[2]->SetValue(2011);
1389pom[2]->SetBinding(PIBK_elastic,PIBK_elastic, PIBK_elastic,PIBK_elastic);
1390cpx += int(1.25*bsx+spx);
1391txt[9] = new PIText(this,"",bsx,bsy,cpx,cpy);
1392txt[9]->SetBinding(PIBK_elastic,PIBK_elastic, PIBK_elastic,PIBK_elastic);
1393
1394// new ligne
1395cpx = spx; cpy += bsy+spy;
1396but[2] = new PIButton(this, "Dismiss",777,bsx,bsy,cpx,cpy);
1397but[2]->SetBinding(PIBK_elastic,PIBK_elastic, PIBK_elastic,PIBK_elastic);
1398cpx += bsx+spx;
1399but[3] = new PIButton(this, "Check",666,bsx,bsy,cpx,cpy);
1400but[3]->SetBinding(PIBK_elastic,PIBK_elastic, PIBK_elastic,PIBK_elastic);
1401cpx += bsx+spx;
1402but[4] = new PIButton(this, "Fit",333,bsx,bsy,cpx,cpy);
1403but[4]->SetBinding(PIBK_elastic,PIBK_elastic, PIBK_elastic,PIBK_elastic);
1404cpx += bsx+spx;
1405but[5] = new PIButton(this, "Ini Auto",444,bsx,bsy,cpx,cpy);
1406but[5]->SetBinding(PIBK_elastic,PIBK_elastic, PIBK_elastic,PIBK_elastic);
1407
1408// new ligne
1409cpx = spx; cpy += bsy+spy;
1410lab[7] = new PILabel(this,"Par",bsx/2,bsy,cpx,cpy);
1411lab[7]->SetBinding(PIBK_elastic,PIBK_elastic, PIBK_elastic,PIBK_elastic);
1412cpx += int(bsx/2.+spx);
1413lab[8] = new PILabel(this,"Fx",bsx/3,bsy,cpx,cpy);
1414lab[8]->SetBinding(PIBK_elastic,PIBK_elastic, PIBK_elastic,PIBK_elastic);
1415cpx += int(bsx/3.+spx);
1416lab[9] = new PILabel(this,"Init",bsx,bsy,cpx,cpy);
1417lab[9]->SetBinding(PIBK_elastic,PIBK_elastic, PIBK_elastic,PIBK_elastic);
1418cpx += bsx+spx;
1419lab[10] = new PILabel(this,"Step",bsx,bsy,cpx,cpy);
1420lab[10]->SetBinding(PIBK_elastic,PIBK_elastic, PIBK_elastic,PIBK_elastic);
1421cpx += bsx+spx;
1422lab[11] = new PILabel(this,"Min",bsx,bsy,cpx,cpy);
1423lab[11]->SetBinding(PIBK_elastic,PIBK_elastic, PIBK_elastic,PIBK_elastic);
1424cpx += bsx+spx;
1425lab[12] = new PILabel(this,"Max",bsx,bsy,cpx,cpy);
1426lab[12]->SetBinding(PIBK_elastic,PIBK_elastic, PIBK_elastic,PIBK_elastic);
1427
1428// new lines: Parametres (npar lignes)
1429if(npar>0) {
1430 for(int i=0;i<npar;i++) {
1431 cpx = spx; cpy += bsy+spy;
1432 char str[8]; sprintf(str,"P%d",i);
1433 lab[13+i] = new PILabel(this,str,bsx/2,bsy,cpx,cpy);
1434 lab[13+i]->SetBinding(PIBK_elastic,PIBK_elastic, PIBK_elastic,PIBK_elastic);
1435 cpx += int(bsx/2.+spx);
1436 // Attention pas de message entre 1500 et 2000 (permet 500 parametres!)
1437 ckb[2+i] = new PICheckBox(this,"",1500+i,bsx/3,bsy,cpx,cpy+spy);
1438 ckb[2+i]->SetBinding(PIBK_elastic,PIBK_elastic, PIBK_elastic,PIBK_elastic);
1439 cpx+=int(bsx/3.+spx);
1440 for(int j=0;j<4;j++) {
1441 txt[10+4*i+j] = new PIText(this,"",bsx,bsy,cpx,cpy);
1442 txt[10+4*i+j]->SetBinding(PIBK_elastic,PIBK_elastic, PIBK_elastic,PIBK_elastic);
1443 cpx += bsx+spx;
1444 }
1445 }
1446}
1447
1448return;
1449}
1450
1451/* --Methode-- */
1452PIAFitterWind::~PIAFitterWind()
1453{
1454int i;
1455for(i=0;i<nlab;i++) if(lab[i]) {delete lab[i]; lab[i]=NULL;}
1456for(i=0;i<ntxt;i++) if(txt[i]) {delete txt[i]; txt[i]=NULL;}
1457for(i=0;i<nbut;i++) if(but[i]) {delete but[i]; but[i]=NULL;}
1458for(i=0;i<nckb;i++) if(ckb[i]) {delete ckb[i]; ckb[i]=NULL;}
1459for(i=0;i<npom;i++) if(pom[i]) {delete pom[i]; pom[i]=NULL;}
1460if(lab) {delete lab; lab=NULL; nlab=0;}
1461if(txt) {delete txt; txt=NULL; ntxt=0;}
1462if(but) {delete but; but=NULL; nbut=0;}
1463if(ckb) {delete ckb; ckb=NULL; nckb=0;}
1464if(pom) {delete pom; pom=NULL; npom=0;}
1465}
1466
1467/* --Methode-- */
1468void PIAFitterWind::Show()
1469{
1470//mDap->SetBlocked();
1471SetState();
1472PIWindow::Show();
1473return;
1474}
1475
1476/* --Methode-- */
1477void PIAFitterWind::SetState(void)
1478// Ecriture et positionnement des ckb et txt
1479{
1480int npar = mFitter->mNPar;
1481
1482// Les check-boxes
1483ckb[0]->SetState(mFitter->mOpt.okfun);
1484ckb[1]->SetState(mFitter->mOpt.okres);
1485if(npar>0)
1486 for(int i=0;i<npar;i++) ckb[2+i]->SetState((mFitter->mFix(i)>=1.)?true:false);
1487
1488// Les champs textes
1489char str[128]; string dum;
1490sprintf(str,"%f",ErrValue); dum=str; txt[0]->SetText(dum);
1491sprintf(str,"%d,%d",mFitter->mOpt.lp,mFitter->mOpt.lpg); dum=str; txt[1]->SetText(dum);
1492sprintf(str,"%f",mFitter->mOpt.stc2); dum=str; txt[2]->SetText(dum);
1493sprintf(str,"%d",mFitter->mOpt.nstep); dum=str; txt[3]->SetText(dum);
1494sprintf(str,"%d",mFitter->mOpt.i1); dum=str; txt[4]->SetText(dum);
1495sprintf(str,"%d",mFitter->mOpt.i2); dum=str; txt[5]->SetText(dum);
1496sprintf(str,"%d",mFitter->mOpt.j1); dum=str; txt[6]->SetText(dum);
1497sprintf(str,"%d",mFitter->mOpt.j2); dum=str; txt[7]->SetText(dum);
1498sprintf(str,"%f",mFitter->mOpt.xc); dum=str; txt[8]->SetText(dum);
1499sprintf(str,"%f",mFitter->mOpt.yc); dum=str; txt[9]->SetText(dum);
1500if(npar>0) {
1501 for(int i=0;i<npar;i++) {
1502 sprintf(str,"%f",mFitter->mPar(i)); dum=str; txt[10+4*i+0]->SetText(dum);
1503 sprintf(str,"%f",mFitter->mStep(i)); dum=str; txt[10+4*i+1]->SetText(dum);
1504 sprintf(str,"%f",mFitter->mMin(i)); dum=str; txt[10+4*i+2]->SetText(dum);
1505 sprintf(str,"%f",mFitter->mMax(i)); dum=str; txt[10+4*i+3]->SetText(dum);
1506 }
1507}
1508
1509return;
1510}
1511
1512/* --Methode-- */
1513void PIAFitterWind::Process(PIMessage msg, PIMsgHandler* sender, void* data)
1514{
1515int lp = (mFitter->mOpt.lp>2)?1:0;;
1516int npar = mFitter->mNPar;
1517
1518// Decodage des messages, init et dismiss
1519msg = UserMsg(msg);
1520if(msg ==777) {
1521 if(lp) cout<<"Dismiss"<<endl;
1522 //mDap->SetReady();
1523 Hide();
1524 return;
1525}
1526
1527// L'objet existe t-il encore?
1528NamedObjMgr omg;
1529if(omg.GetObj(mFitter->mNObj) == NULL) {
1530 cout<<"PIAFitterWind::Process Error , Pas d'objet de nom "
1531 <<mFitter->mNObj<<endl;
1532 mFitter->ResetDPointer(); return;
1533}
1534
1535// On recupere les champs textes
1536string dum; char str[128];
1537// Attention gestion du type d'erreur
1538dum=txt[0]->GetText(); strcpy(str,dum.c_str()); strip(str,'B',' ');
1539 sscanf(str,"%lf",&ErrValue); if(ErrValue<=0.) ErrValue=1.;
1540 if(mFitter->mOpt.err_e>0. ) mFitter->mOpt.err_e = ErrValue;
1541 if(mFitter->mOpt.err_E>0. ) mFitter->mOpt.err_E = ErrValue;
1542dum=txt[1]->GetText(); strcpy(str,dum.c_str()); strip(str,'B',' ');
1543 sscanf(str,"%d,%d",&(mFitter->mOpt.lp),&(mFitter->mOpt.lpg));
1544dum=txt[2]->GetText(); strcpy(str,dum.c_str()); strip(str,'B',' ');
1545 sscanf(str,"%lf",&(mFitter->mOpt.stc2));
1546dum=txt[3]->GetText(); strcpy(str,dum.c_str()); strip(str,'B',' ');
1547 sscanf(str,"%d",&(mFitter->mOpt.nstep));
1548// Attention si les valeurs de mOpt.i1/.i2/.j1/.j2 ont ete changees
1549dum=txt[4]->GetText(); strcpy(str,dum.c_str()); strip(str,'B',' ');
1550 sscanf(str,"%d",&(mFitter->mOpt.i1));
1551dum=txt[5]->GetText(); strcpy(str,dum.c_str()); strip(str,'B',' ');
1552 sscanf(str,"%d",&(mFitter->mOpt.i2));
1553dum=txt[6]->GetText(); strcpy(str,dum.c_str()); strip(str,'B',' ');
1554 sscanf(str,"%d",&(mFitter->mOpt.j1));
1555dum=txt[7]->GetText(); strcpy(str,dum.c_str()); strip(str,'B',' ');
1556 sscanf(str,"%d",&(mFitter->mOpt.j2));
1557 if(saveI1!=mFitter->mOpt.i1 || saveI2!=mFitter->mOpt.i2 ||
1558 saveJ1!=mFitter->mOpt.j1 || saveJ2!=mFitter->mOpt.j2 ) {
1559 if(lp)
1560 cout<<"Range changed: I("<<saveI1<<","<<saveI2
1561 <<") -> I("<<mFitter->mOpt.i1<<","<<mFitter->mOpt.i2
1562 <<") ou J("<<saveJ1<<","<<saveJ2
1563 <<") -> J("<<mFitter->mOpt.j1<<","<<mFitter->mOpt.j2
1564 <<")"<<endl;
1565 ReFillGData = true;
1566 saveI1=mFitter->mOpt.i1; saveI2=mFitter->mOpt.i2;
1567 saveJ1=mFitter->mOpt.j1; saveJ2=mFitter->mOpt.j2;
1568 }
1569dum=txt[8]->GetText(); strcpy(str,dum.c_str()); strip(str,'B',' ');
1570 sscanf(str,"%lf",&(mFitter->mOpt.xc));
1571dum=txt[9]->GetText(); strcpy(str,dum.c_str()); strip(str,'B',' ');
1572 sscanf(str,"%lf",&(mFitter->mOpt.yc));
1573
1574if(npar>0) {
1575 for(int i=0;i<npar;i++) {
1576 dum=txt[10+4*i+0]->GetText(); strcpy(str,dum.c_str()); strip(str,'B',' ');
1577 sscanf(str,"%lf",&(mFitter->mPar(i)));
1578 dum=txt[10+4*i+1]->GetText(); strcpy(str,dum.c_str()); strip(str,'B',' ');
1579 sscanf(str,"%lf",&(mFitter->mStep(i)));
1580 dum=txt[10+4*i+2]->GetText(); strcpy(str,dum.c_str()); strip(str,'B',' ');
1581 sscanf(str,"%lf",&(mFitter->mMin(i)));
1582 dum=txt[10+4*i+3]->GetText(); strcpy(str,dum.c_str()); strip(str,'B',' ');
1583 sscanf(str,"%lf",&(mFitter->mMax(i)));
1584 }
1585}
1586
1587// Decodage des messages, suite
1588if(msg ==666) {
1589 if(lp) cout<<"Check"<<endl;
1590 mFitter->CheckOptions();
1591 if(ReFillGData) mFitter->FillGData();
1592 ReFillGData = false;
1593 if(mFitter->mFit) mFitter->mFit->PrintStatus();
1594}
1595else if(msg ==111) {
1596 if(lp) cout<<"Update from last"<<endl;
1597 mFitter->ResetOptions();
1598 mFitter->mOpt = mFitter->mOptSave;
1599 mFitter->ReSetParam();
1600 mFitter->InitParFromLastFit();
1601 ReFillGData = true;
1602}
1603else if(msg ==222) {
1604 if(lp) cout<<"Default options/par"<<endl;
1605 mFitter->ResetOptions();
1606 mFitter->ReSetParam();
1607 ReFillGData = true;
1608}
1609else if(msg ==333) {
1610 if(lp) cout<<"Do the fit"<<endl;
1611 mFitter->CheckOptions();
1612 if(ReFillGData) mFitter->FillGData();
1613 ReFillGData = false;
1614 int rc = mFitter->DoFit();
1615 if(rc>=0) mFitter->FitFunRes();
1616}
1617else if(msg ==444) {
1618 if(lp) cout<<"Automatic initialisation"<<endl;
1619 mFitter->AutoIniFit();
1620}
1621else if(msg==1001) {
1622 if(ckb[0]->GetState()) {
1623 if(lp) cout<<"Gen fitted function"<<endl;
1624 mFitter->mOpt.okfun = true;
1625 } else if(!ckb[0]->GetState()) {
1626 if(lp) cout<<"No Gen fitted function"<<endl;
1627 mFitter->mOpt.okfun = false;
1628 }
1629}
1630else if(msg==1002) {
1631 if(ckb[1]->GetState()) {
1632 if(lp) cout<<"Gen fitted residus"<<endl;
1633 mFitter->mOpt.okres = true;
1634 } else if(!ckb[1]->GetState()) {
1635 if(lp) cout<<"No Gen fitted residus"<<endl;
1636 mFitter->mOpt.okres = false;
1637 }
1638}
1639else if(2101<=msg && msg<=2103) {
1640 mFitter->mOpt.err_e = mFitter->mOpt.err_E = -1.;
1641 if(msg==2102) mFitter->mOpt.err_e = ErrValue;
1642 else if(msg==2103) mFitter->mOpt.err_E = ErrValue;
1643 if(lp) cout<<"Err_cste="<<mFitter->mOpt.err_e
1644 <<" Err_sqrt="<<mFitter->mOpt.err_E
1645 <<" ErrValue="<<ErrValue<<endl;
1646 ReFillGData = true;
1647}
1648else if(2001<=msg && msg<=2003) {
1649 mFitter->mOpt.polcx = msg-2001;
1650 if(lp) cout<<"Centrage X polcx="<<mFitter->mOpt.polcx
1651 <<" xc="<<mFitter->mOpt.xc<<endl;
1652 ReFillGData = true;
1653}
1654else if(2011<=msg && msg<=2013) {
1655 mFitter->mOpt.polcy = msg-2011;
1656 if(lp) cout<<"Centrage Y polcy="<<mFitter->mOpt.polcy
1657 <<" yc="<<mFitter->mOpt.yc<<endl;
1658 ReFillGData = true;
1659}
1660else if(msg>=1500 && msg<2000) {
1661 int ip = msg-1500;
1662 if(ckb[2+ip]->GetState()) {
1663 if(lp) cout<<"Fix Param "<<ip<<endl;
1664 mFitter->mFix(ip) = 1.001;
1665 } else if(!ckb[2+ip]->GetState()) {
1666 if(lp) cout<<"Not Fix Param "<<ip<<endl;
1667 mFitter->mFix(ip) = 0.;
1668 }
1669}
1670
1671mFitter->CheckOptions();
1672SetState();
1673if(mFitter->mOpt.lp>1) mFitter->PrintOptions();
1674
1675return;
1676}
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