Transformation of Errors in Radial Detectors + Radial Clustering
Error Transformation: Make sure the detector resolution transforms correctly from radial to cartesian coordinates. This is achieved using gaussian error transformation. Symbolic derivation of the derivatives used in the error transformation: Resolution.md ToDo: Test this with the Allpix^2 implementation of the geometry (as in IT-4086/EP/ATLAS) that Radek is working on.
Radial Clustering: Introduce a new module (ClusteringRadial) that uses the radial clustering concept and gives cluster statistics not only in x/y but also in R/Phi. The clustering algorithm is the same as in ClusteringSpatial, but everything is handled in radial coordinates, and the cluster centre is found using a weighted average that considers individual strip resolutions.
ToDo: Look at the output of the histograms in a few scenarios to judge whether the bounds are correct.