Heavy Flavour Physics at the LHC

A summary of results in heavy flavour physics from Run 1 of the LHC is presented. Topics discussed include spectroscopy, mixing, CP violation and rare decays of charmed and beauty hadrons.Comment: 25 pages, 9 figures (total 17 subfigures). Invited review for Comptes Rendus de Physique de l'Academie des Science

Momentum scale calibration using resonances

The use of resonances to calibrate the momentum scale is discussed. Formula for the relationship between the magnetic field scale and the measured mass are derived and applied to the decays J/$\psi \rightarrow \mu^+ \mu^-$, \ks $\rightarrow \pi^+ \pi^-$ and $\Lambda \rightarrow p^+ \pi^-$

Clone Track Identification using the Kullback-Liebler Distance

The implementation and performance of an algorithm that identifies and removes clone tracks using the Kullback-Liebler distance is discussed. For long tracks this algorithm reduces the clone rate to the level of 3 per mille for a 2 per mille loss in efficency

Combined Long Tracking Performance

The performance of the track reconstruction for `Long Tracks' in DC'~06 is presented in detail. An event weighted efficiency of 89.4 % is found for a ghost rate of 16.7 %

Classification of Ghost Tracks

A tool for classifying ghost tracks together with the results obtained with Brunel v31r8 is described

Performance of the Track Matching

The performance of the track matching algorithm in Brunel v31r8 is discussed. An event weighted efficiency of $82.3 \%$ is found for a ghost rate of $8.9 \%$

The Tsa Reconstruction Framework

The classes comprising the Tsa reconstruction framework at the time of Brunel v31r1 are described together with their use

Identification of Ghost Tracks using a Likelihood Method

The implementation of an algorithm based on a likelihood method to discriminate between real and ghost tracks is described. This algorithm is shown to perform slightly better than a cut on the $\chi^2$/ndof

Performance of the LHCb Track Reconstruction Software

Abstract The performance of the LHCb track reconstruction software at the time of the DC 06 re-processing is described. For Long Tracks an event weighted efficiency of $91.4~\%$ is found for a ghost rate of $14.6~\%$. For these tracks a momentum resolution of $4.2$ per mille is obtained after a Kalman filter based fit

Channel Numbering and Readout partitioning for the Silicon Tracker

An updated channel numbering scheme and readout partitioning for the LHCb Silicon Tracker is presented