Suppose I want to find a model for a background from the data of it...(adsbygoogle = window.adsbygoogle || []).push({});

One way is to try different fittings and compare the values of their ##\chi^2/NDF## if they're close to 1 or not.

However what happens when two fits are really close to one? For example if I take a ##M_{\gamma \gamma}## background for a Higgs, and apply an exponential drop fit or a polynomial of deg=2 fit, I am getting values: 0.975(expon) and 0.983 (polynomial)...

Physically I think the exponential is a better fitting function, but the statistics is telling me that the polynomial fits best...?

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# Goodness of Fit ##\chi^2/NDF##

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