Post processing for PSD heuristics / emulation

[tdixon97]

• general functions to evaluate a detector mapping (eg. A/E or drift time)
• clustering algorithms
• validation / comparison with data (test stand?)

@willquinn is interested?

[willquinn]

Start with r90 - example code from @MoritzNeuberger https://github.com/MoritzNeuberger/postproc/blob/main/src/postproc/modules/r90_estimator.py

DT heuristic requires some clustering:

• What clustering algorithm to use?
• potentially DBScan https://scikit-learn.org/1.5/modules/generated/sklearn.cluster.DBSCAN.html

[tdixon97]

For the dt heuristic we need drift time maps for each detector. We need to be careful of version shear and handle this inside the simflow. SSD should already have most of the functionality and @willquinn , @Xudifei will work on a prototype.

Should we a simple script taking in a metadata block and returning the dt map. What file format? Flat LH5 table of 3 arrays ?

Where does this type of thing belong @gipert, since the code will be julia? Maybe in legend-simflow? Or a seperate repo (overkill boh)?