A method for tuning parameters of Monte Carlo generators and a its application to the determination of the unintegrated gluon density

Physics – High Energy Physics – High Energy Physics - Phenomenology

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Several changes compared to fist version, particularly in the "Results" section. Accepted for publication in EPJC

Scientific paper

10.1140/epjc/s10052-010-1464-6

A method for tuning parameters in Monte Carlo generators is described and applied to a specific case. The method works in the following way: each observable is generated several times using different values of the parameters to be tuned. The output is then approximated by some analytic form to describe the dependence of the observables on the parameters. This approximation is used to find the values of the parameter that give the best description of the experimental data. This results in significantly faster fitting compared to an approach in which the generator is called iteratively. As an application, we employ this method to fit the parameters of the unintegrated gluon density used in the CASCADE Monte Carlo generator, using inclusive deep inelastic data measured by the H1 Collaboration. We discuss the results of the fit, its limitations, and its strong points.

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