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!