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Discussing a novel approach for pixel alignment using full tracker reconstructions and fixing curvatures for better track fitting. The feasibility of the idea and its implications are explored in detail.
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Project meeting Helsinki 31.03.2009 Pixel stand alone alignment statusV. Karimäki, T. Lampén
Outline • Recall the problem • Simultaneous vertex and track fit • vertex contraint (unknown position) • beam spot constraint (average position known)
Basics - recall • Problem inPixel stand alone alignment: short tracks, curvature purely measured • Evoke the idea presented earlier by us: • take curvature from full tracker reconstruction • use then only Pixel hits for alignment • Feasibility of the idea was studied: Curvature precision requirements for Pixel alignment • So fixing curvatures for Pixel alignment ok
Outline of the algorithm • Full tracker reconstruction • Choose tracks for Pixel alignment • Fix curvatures obtained by full tracker fit • Use pure helix: • B (almost) uniform in Pixel region • material budget smallest in Pixel region • Vertex constraint (tracks from one point) • Seed the new residuals to the HIP algo
Status of the work • “Toy” Monte Carlo ready to prove the concept: • Helix: circle in xy (VK), straight line in sz (TL) • Helix + VX constraint: (2+N)*(2+N) matrix Inversion (N = number of tracks) • Pull distributions fine • Start then implementation to the HIP alignment framework