On the " Froissaron-Maximal Odderon" Model
Vladimir A. Petrov
TL;DR
This paper critically examines the Froissaron-Maximal Odderon model, revealing significant theoretical flaws and questioning its effectiveness in fitting experimental data comprehensively.
Contribution
It provides a detailed analysis of the FMO model's theoretical inconsistencies and evaluates its data description quality.
Findings
FMO model has serious theoretical flaws.
The model's data fit probability is unsatisfactory.
The model does not fully describe all experimental data.
Abstract
We analyse the basic premises of the `` Froissaron-Maximal Odderon" (FMO) model which was claimed to be ``the only existing model which describes the totality of experimental data ". It is shown that the FMO model suffers from serious theoretical flaws while its quality of the data description is such that the probability that it describes the selected set of data is not satisfactory enough.
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