KF-based Alignment Service Work

Service Task

to debug and fully test the Millipede alignment framework for Kalman filter tracking on 2016 data and Monte Carlo where we have a well understood GBL alignment and a fully working detector. PF has written code to enable Millipede alignment with KF tracks, but the code does not work for reasons that he has been unable to determine after working on it periodically over many months. The deliverables here are
- benchmarking of KF based alignment against the existing GBL alignment, demonstrating equivalent functionality and consistent results.
- demonstrating that KF based alignment works correctly when data is missing from some sensors, which is the key motivation for this tool.
to work with the experts on 2019 and 2021 alignment to deploy this tool on the 2019 and 2021 datasets and assist in using it to improve the 2019 and 2021 alignment. The deliverable here is not to produce these alignments, per se, but to provide those performing these alignments with support in using the KF-based Millipede alignment, include studies on data and MC that are required to understand its performance on these detectors.

[x] debug KF-based alignment
[x] benchmarking KF-based alignment against ST-based alignment, demonstrating equivalent functionality and consistent results
[x] demonstrate KF-based alignment works correctly when data is missing from some sensors
[x] translation (50um) + rotation (2mrad) of single sensor
[x] alignment without informing pede which parameters were actually changed
[x] deploy KF-based alignment to 2019 and 2021 datasets
[x] add current mille/align as "extension" on hps-mc so it can use hps-mc under-the-hood for running batch hps-java jobs
[x] try procedure over a 2016 data run just to see