HI,
I’m trying to (ML) fit my data with a crystal ball function. Every time I change the initial value of one of the parameters I get a completely different fit (with different number of signal events).
For all these fits I get the same minimized FCN value but with a different estimated distance to the minimum.
How can I know which one of my fits is better? Can I rely on the estimated distance to the minimum?
The fit with the smallest distance would be the best?
Cheers,
Simon