hi all ROOTers, consider the following problem: - you have a signal (e.g. missing-mass-spektrum) which is parameterized by a Lorentz convoluted with a Gaus. the signal is on some kind of background wich you emulate by a cubic function. after the fit i get as a result (let's say) seven parameters. NO PROBLEM SOFAR: see the famous FittingDemo and langaus tutorials. now the problem: i now split my data considering another observable (let's say ten missing-mass distributions as a function of an angle of an ejectile). i now have to fit ten INDIVIDUAL histos, however physics tells me that the fits are correlated: - the parameters should be 'some' smooth function of the additional observable. - the probability of the fits should be 'some' smooth function of the additional observable. - the sum of all signals should match the integral of the total signal. now the question: how can i simultaniously fit the ten histos? is there a ROOT-class? are there some examples? one could think of some multi-constraint, iterative fitting method; or one could try to fit the surface of a TH2F filled with h->Fill(missingmass, angle, totalcountsofthisbin). i'm currently working on this problem, but the output is not yet what i'm aiming for. thanx in advance, martin
This archive was generated by hypermail 2b29 : Sun Jan 02 2005 - 05:50:10 MET