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WIP: Feature/sequential kalman filter

The PR summarizes the changes implemented during the ACTS workshop in Berkeley. It adds a new algorithm, a Sequential Kalman Filter to ACTS in its most simple form (just using the hit with the smallest chi^2 increment). For this, we (@pagessin @nstyles Aaron) have implemented several things (and I took the liberty to add a few more stuff to this PR):

  • calculate the chi^2 in the GainMatrixUpdator
  • store it in the track state
  • add the algorithm itself
  • added a test for it
  • I have also refactored the Kalman Test because now both tests use the same basic procedures

For merging this PR, I still need to

  • add comments
  • optimize includes

Comments are very welcome!

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