Speaker
Dr
Enrico Pasqualucci
(Istituto Nazionale di Fisica Nucleare (INFN), Roma)
Description
In the ATLAS experiment, fast calibration of the detector is vital to feed prompt
data reconstruction with fresh calibration constants. We present the use case of the
muon detector, where an high rate of muon tracks (small data size) is needed to
accomplish calibration requirements. The ideal place to get data suitable for muon
detector calibration is the second level trigger, where the pre-selection of data by
the first level trigger allows to select all and only the hits from isolated muon
tracks and to add useful information to seed the calibration procedures. The online
data collection model for calibration data is designed to minimize the use of
additional resources, without affecting the behaviour of the trigger/DAQ system.
Collected data are then streamed to remote Tier 2 farms dedicated to detector
calibration. Measurements on the pre-series of the ATLAS TDAQ infrastructure and on
the standard LHC data distribution path are shown, proving the feasibility of the system.
Primary author
Dr
Enrico Pasqualucci
(Istituto Nazionale di Fisica Nucleare (INFN), Roma)
Co-authors
Dr
Alessandro De Salvo
(Istituto Nazionale di Fisica Nucleare (INFN), Roma)
Dr
Alessandro Di Mattia
(Istituto Nazionale di Fisica Nucleare (INFN), Roma)
Dr
Brian Martin
(CERN)
Dr
Catalin Meirosu
(CERN)
Dr
Domizia Orestano
(Istituto Nazionale di Fisica Nucleare (INFN), Roma 3)
Dr
Francesco Marzano
(Istituto Nazionale di Fisica Nucleare (INFN), Roma)
Dr
Lamberto Luminari
(Istituto Nazionale di Fisica Nucleare (INFN), Roma)
Dr
Speranza Falciano
(Istituto Nazionale di Fisica Nucleare (INFN), Roma)
