Aug 21 – 25, 2017
University of Washington, Seattle
US/Pacific timezone

Real-time alignment and reconstruction: performance and recent developments at the LHCb experiment

Aug 22, 2017, 4:00 PM
The Commons (Alder Hall)

The Commons

Alder Hall

Poster Track 2: Data Analysis - Algorithms and Tools Poster Session


Michael David Sokoloff (University of Cincinnati (US))


The LHCb detector is a single-arm forward spectrometer, which has been designed for the efficient reconstruction decays of c- and b-hadrons.
LHCb has introduced a novel real-time detector alignment and calibration strategy for LHC Run II. Data collected at the start of the fill are processed in a few minutes and used to update the alignment, while the calibration constants are evaluated for each run. This procedure permits to obtain the same quality of the processed events in the trigger system as in the offline reconstruction. In addition, the larger timing budget available allows to process the events using the best performing reconstruction in the trigger, which fully includes the particle identification selection criteria. This approach greatly increases the efficiency, in particular for the selection of charm and strange hadron decays.
In this talk the strategy and performance are discussed followed by presentation of the recent developments implemented for the 2017 run of data taking. The topic is discussed in terms of operational performance and reconstruction quality.

Primary authors

Agnieszka Dziurda (CERN) Francesco Polci (Centre National de la Recherche Scientifique (FR)) Lucia Grillo (Universita & INFN, Milano-Bicocca (IT))


Michael David Sokoloff (University of Cincinnati (US))

Presentation materials

Peer reviewing