Kalman Filter tracklets from MC Trajectory Points#128
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valerpia
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Last commit aligned reconstruct with testKF. This version uses trajectory points to provide the input to the KF algorithm, more trajectory points means pull plots closer to what we expect (mean 0, sigma 1). Here are some plots obtained with testKF and a modified edepsim file. This file has A LOT of trajectory points to verify the KF code is working and the problem is with the trackleting algorithm. Plots obtained with a regular edepsim file will be worse than these. This is expected. To me, these plots close the review. 
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valerpia
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Kalman Filter workflow where, for each module, tracklets are built from smeared Monte Carlo TrajectoryPoints and then used as measurements in the KF.
It also adds dedicated tests to validate the new tracklet-based reconstruction and provides plotting macros to produce all the relevant diagnostic distributions (residuals, χ², consistency checks,innovationt tests etc.).