Dr Rudolf Frühwirth (Institute of High Energy Physics, Vienna)
The reconstruction of charged tracks and interaction vertices is an important step in the data analysis chain of particle physics experiments. I give a survey of the most popular methods that have been employed in the past and are currently employed by the LHC experiments. Whereas pattern recognition methods are very diverse and rather detector dependent, fitting algorithms offer less variety...
Dr Ben Segal (CERN)
Computing Technology for Physics Research
Using virtualization technology, the entire application environment of an LHC experiment, including its Linux operating system and the experiment's code, libraries and support utilities, can be incorporated into a virtual image and executed under suitable hypervisors installed on a choice of target host platforms. The Virtualization R&D project at CERN is developing CernVM, a virtual...
Dr Piergiorgio Cerello (INFN - TORINO)
Data Analysis - Algorithms and Tools
The MAGIC-5 Project focuses on the development of analysis algorithms for the automated detection of anomalies in medical images, compatible with the use in a distributed environment. Presently, two main research subjects are being addressed: the detection of nodules in low-dose high-resolution lung computed tomographies and the analysis of brain MRIs for the segmentation and classification...