Speaker
Description
Presentation
Summary
In this presentation the targeted uncertainty budget for PACMAN systems for pre-alignment is described and elaborated on. A new strategy of uncertainty budgeting following the state of art in International standard (GUM, Supplement 1) is proposed as alternative to current classical methods of error budgeting applied for accelerators pre-alignment. This methodology follows stochastic like modelling for providing probability density function as quantification of the various sub-systems measurement uncertaintys. The aim is to create a Virtual model of PACMAN Multisensorial Measurement System, trough which the various error sources probability density functions are propagated do define the final PACMAN measurement uncertainty. This provides the first so called 'task specific' or ‘measurement specific’ uncertainty budget for accelerator pre-alignment according to GUM, Supplement 1 international standard. The first experimental and modeling results are shared with emphasis of one of the biggest error contributors the environmentally/thermally induced errors.
