Speaker
Mieczyslaw Krasny
(LPNHE, Uviversity Paris)
Description
Traditionally, in the pre-LHC muti-purpose high-energy experiements the
diversification of their physics programs has been largely decoupled from the process
of the data-taking - physics groups could only influence the selection criteria of
recorded events according to predefined trigger menus. In particular, the
physics-oriented choice of subdetector data and the implementation of refined event
selection methods have been made in the offline analysis. The departure point of the
Gauge Model of the Data Acquisition is that such a scheme cannot be continously
extended to the LHC environment, without significant sacrifices in the scope and in
the quality of the experimental program. The model is contructed in close analogy to
the construction of the gauge models in particles physics and is based upon the
dynamic event-by-event, steering of the format and content of the detector raw data,
dynamic configuration of the High-Level-Trigger selection algorithms and
Physics-goal-oriented slices of processor farms. In this tals I shall present the
advantages and drawbacks and of such a model of the data taking architecture for the
physics program of the LHC collider.
Author
Mieczyslaw Krasny
(LPNHE, Uviversity Paris)
