Crash when doing Weighted Likelihood fit

[lmoneta]

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Description

ROOT crashes when performing the uncertainty correction in (Fitter::DoWeightMinimization) when doing a weighted likelihood fit.
See https://root-forum.cern.ch/t/root-crashes-when-doing-a-weighted-likelihood-fit/57976

Reproducer

void test(){                                                                                                                                                                                                
  TH1F* h = new TH1F("h","h",3,0,3);                                                                                                                                                                        
  for(int i = 0; i < 3; i++)h->Fill(0.5);                                                                                                                                                                   
  for(int i = 0; i < 4; i++)h->Fill(1.5);                                                                                                                                                                   
  for(int i = 0; i < 3; i++)h->Fill(2.5);                                                                                                                                                                   
                                                                                                                                                                                                            
  //This works                                                                                                                                                                                              
  std::cout << "Likelihood Fit:" << std::endl;                                                                                                                                                              
  h->Fit("pol0","L");                                                                                                                                                                                       
                                                                                                                                                                                                            
  //This dosn't                                                                                                                                                                                             
  h->Sumw2();                                                                                                                                                                                               
  h->Scale(10);                                                                                                                                                                                             
  std::cout << "Weighted Likelihood Fit:" << std::endl;                                                                                                                                                     
  h->Fit("pol0","WL");                                                                                                                                                                                      
}    

ROOT version

6.28, 6.30 and master

Installation method

all

Operating system

all

Additional context

No response

[github-actions]

Hi @lmoneta,

It appears this issue is closed, but wasn't yet added to a project. Please add upcoming versions that will include the fix, or 'not applicable' otherwise.

Sincerely,
🤖

[github-actions]

Hi @lmoneta,

It appears this issue is closed, but wasn't yet added to a project. Please add upcoming versions that will include the fix, or 'not applicable' otherwise.

Sincerely,
🤖

[github-actions]

Hi @lmoneta,

It appears this issue is closed, but wasn't yet added to a project. Please add upcoming versions that will include the fix, or 'not applicable' otherwise.

Sincerely,
🤖