Physics – High Energy Physics – High Energy Physics - Phenomenology
Scientific paper
2010-01-26
Eur.Phys.J.C70:503-511,2010
Physics
High Energy Physics
High Energy Physics - Phenomenology
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.
Bacchetta Alessandro
Jung Hannes
Knutsson Albert
Kutak Krzysztof
Samson-Himmelstjerna Federico von
No associations
LandOfFree
A method for tuning parameters of Monte Carlo generators and a its application to the determination of the unintegrated gluon density does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with A method for tuning parameters of Monte Carlo generators and a its application to the determination of the unintegrated gluon density, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and A method for tuning parameters of Monte Carlo generators and a its application to the determination of the unintegrated gluon density will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-644587