 # Difference: ForwardDetPublicResults (55 vs. 56)

#### Revision 562019-06-03 - MarcoBruschi

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PLOT-FDET-2019-17 AFP-SiT Interplane Alignment

 RUN2 - PLOT-FDET-2019-17 AFP-SiT Interplane Alignment (CDS: https://cds.cern.ch/record/2675953/ ) A comparison of the y-residual distribution before alignment has taken place (blue) and after alignment (red), corresponding to 20 iterations of the algorithm, with a reduced-chi2 < 2 cut applied on tracks after the 10th iteration. Results are shown here for the first plane (plane-0) of the A-NEAR AFP station. The residuals are equal to the difference in measured cluster position in the SiT plane to the reconstructed track position, ytrack-ycluster. The plane is considered aligned in the respective direction when the distribution is centred on zero, i.e. the measured cluster hit positions equal the reconstructed track positions. The average residual value is calculated from a Gaussian fit and is equal to (15:21+-0:04) μm before any iterations, and is (-0:03+-0:04) μm at 20 iterations, consistent with zero. Uncertainties given are statistical only. The average residual value in y as a function of position in the x-direction, for the first plane of the A-NEAR station (plane-0). The alignment in the x-direction over 20 iterations of the algorithm for the A-NEAR station, where dx is the calculated offset from zero. Each coloured line represents one plane of the station. The algorithm begins by assuming perfect alignment, i.e. all parameters of all layers are equal to zero. A reduced-chi2 cut is applied after the 10th iteration to reject any tracks with a reduced-chi2 value greater than 2. All values are calculated relative to the alignment of plane-0, to remove a degree of freedom related to the global positioning of the station. The final values are presented in μm, with a statistical uncertainty calculated using the ATLAS Standard Model Bootstrap Generator tool. The systematic uncertainties have not yet been calculated, but are predicted to be at least an order of magnitude larger than the statistical uncertainties. Plots from RUN2 - SiT
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