9-13 July 2018
Sofia, Bulgaria
Europe/Sofia timezone

LHCb full-detector real-time alignment and calibration: latest developments and perspectives

10 Jul 2018, 11:45
Hall 3.1 (National Palace of Culture)

Hall 3.1

National Palace of Culture

presentation Track 1 - Online computing T1 - Online computing


Chris Burr (University of Manchester (GB))


A key ingredient of the data taking strategy used by the LHCb experiment in Run-II is the novel real-time detector alignment and calibration. Data collected at the start of the fill are processed within minutes and used to update the alignment, while the calibration constants are evaluated hourly. This is one of the key elements which allow the reconstruction quality of the software trigger in Run-II to be as good as the offline quality of Run-I.
The most recent developments of the real-time alignment and calibration paradigm enable the fully automated updates of the RICH detectors' mirror alignment and a novel calibration of the calorimeter systems. Both evolutions improve the particle identification performance stability resulting in higher purity selections. The latter leads also to an improvement in the energy measurement of neutral particles, resulting in a 15% better mass resolution of radiative b-hadron decays.
A large variety of improvements has been explored for the last year of Run-II data taking and is under development for the LHCb detector upgrade foreseen in 2021.These range from the optimization of the data samples selection and strategy to the study of a more accurate magnetic field description. Technical and operational aspects as well as performance achievements are presented, focusing on the new developments for both the current and upgraded detector.

Primary authors

Giulio Dujany (Centre National de la Recherche Scientifique (FR)) Agnieszka Dziurda (CERN) Francesco Polci (Centre National de la Recherche Scientifique (FR)) Paras Naik (University of Bristol (GB)) Jean-Francois Marchand (LAPP - Centre National de la Recherche Scientifique (FR)) Lucia Grillo (University of Manchester (GB)) Chris Burr (University of Manchester (GB))

Presentation Materials