Physics – High Energy Physics – High Energy Physics - Phenomenology
Scientific paper
2010-05-28
PoS ACAT2010:079,2010
Physics
High Energy Physics
High Energy Physics - Phenomenology
To appear in the proceedings of the 13th International Workshop on Advanced Computing and Analysis Techniques in Physics Resea
Scientific paper
Data analyses in hadron collider physics depend on background simulations performed by Monte Carlo (MC) event generators. However, calculational limitations and non-perturbative effects require approximate models with adjustable parameters. In fact, we need to simultaneously tune many phenomenological parameters in a high-dimensional parameter-space in order to make the MC generator predictions fit the data. It is desirable to achieve this goal without spending too much time or computing resources iterating parameter settings and comparing the same set of plots over and over again. We present extensions and improvements to the MC tuning system, Professor, which addresses the aforementioned problems by constructing a fast analytic model of a MC generator which can then be easily fitted to data. Using this procedure it is for the first time possible to get a robust estimate of the uncertainty of generator tunings. Furthermore, we can use these uncertainty estimates to study the effect of new (pseudo-) data on the quality of tunings and therefore decide if a measurement is worthwhile in the prospect of generator tuning. The potential of the Professor method outside the MC tuning area is presented as well.
Buckley Andy
Hoeth Hendrik
Lacker Heiko
Schulz Holger
von Seggern Jan Eike
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