LHCb has introduced a novel real-time detector alignment and calibration strategy for LHC Run2. Data collected at the start of the fill are processed in a few minutes and used to update the alignment parameters, while the calibration constants are evaluated for each run. This procedure improves the quality of the online reconstruction. For example, the vertex locator is retracted and reinserted for stable beam conditions in each fill to be centred on the primary vertex position in the transverse plane. Consequently its position changes on a fill-by-fill basis. Critically, this new real-time alignment and calibration procedure allows identical constants to be used in the online and offline reconstruction, thus improving the correlation between triggered and offline-selected events. This offers the opportunity to optimise the event selection in the trigger by applying stronger constraints. The required computing time constraints are met thanks to a new dedicated framework using the multi-core farm infrastructure for the trigger. The motivation for a real-time alignment and calibration of the LHCb detector is discussed from both the operational and physics performance points of view. Specific challenges of this novel configuration are discussed, as well as the working procedures of the framework and its performance.

Martinelli, M. (2017). Novel Real-time Alignment and Calibration of the LHCb detector in Run2. In 22nd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2016. Institute of Physics Publishing [10.1088/1742-6596/898/3/032039].

Novel Real-time Alignment and Calibration of the LHCb detector in Run2

Martinelli M.
2017

Abstract

LHCb has introduced a novel real-time detector alignment and calibration strategy for LHC Run2. Data collected at the start of the fill are processed in a few minutes and used to update the alignment parameters, while the calibration constants are evaluated for each run. This procedure improves the quality of the online reconstruction. For example, the vertex locator is retracted and reinserted for stable beam conditions in each fill to be centred on the primary vertex position in the transverse plane. Consequently its position changes on a fill-by-fill basis. Critically, this new real-time alignment and calibration procedure allows identical constants to be used in the online and offline reconstruction, thus improving the correlation between triggered and offline-selected events. This offers the opportunity to optimise the event selection in the trigger by applying stronger constraints. The required computing time constraints are met thanks to a new dedicated framework using the multi-core farm infrastructure for the trigger. The motivation for a real-time alignment and calibration of the LHCb detector is discussed from both the operational and physics performance points of view. Specific challenges of this novel configuration are discussed, as well as the working procedures of the framework and its performance.
slide + paper
LHCb; Tracker Alignment
English
22nd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2016 - 10 October 2016 through 14 October 2016
2016
22nd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2016
2017
898
3
032039
none
Martinelli, M. (2017). Novel Real-time Alignment and Calibration of the LHCb detector in Run2. In 22nd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2016. Institute of Physics Publishing [10.1088/1742-6596/898/3/032039].
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/426038
Citazioni
  • Scopus 2
  • ???jsp.display-item.citation.isi??? ND
Social impact