Tools for reduction and analysis of large batches of experimental data, with application to the cryogenic thermometry for the LHC

by P. Ciarlini* , D. Ichim** and F. Pavese** (*:IAC Roma; **:(IMGC) Torino, Italia)

Monday 11 Sept 2000, 09:30 → 10:00 Europe/Zurich

36-1- (CERN)

In modern times, measurements are performed using computers and when the number of measurements and/or of the resulting data is large, automatic methods must be used in all stages, from data acquisition to data reduction and analysis. Methods have been developed by IMGC under a CERN Contract for give a sound mathematical and statistical basis to the operations needed during all the above steps, in connection to the needs of the calibration of the cryogenic thermometers for the LHC. However, these methods have a wider generality and can be useful in many other experimental instances. At about half way, the developed tools concern mathematical methods, while the statistical analysis is still to be developed. 9:30 - 10:30: An algorithm for on-line outliner rejection by sequence-analysis in data acquisition. 11:00 - 12:30: Raw-data reduction in the presence of a drift. 14:00 - 15:30: Detection of data clustering

For more detailed information see: http://cryo.web.cern.ch/cryo/acr-in/www/Welcome.html Note: If interested please confirm your participation by e-mailing to Sylvia.Dubourg@cern.ch