COATJAVA release 7.1.0

Compatible with GEMC 4.4.2
Required Java 11 or later

• Reconstruction:
  • DC:
    • Full restructuring for integration of AI-assisted tracking:
      • Standalone clustering service to be run before hit-based tracking.
      • Conventional hit-based service, starting from clustering output.
      • AI hit-based service, starting from AI predictions in ai::tracks.
      • Hit-based services now output new HitBasedTrkg::..HitTrkId bank with track-dependent information (track ID, TProp, TBeta, ...)
      • DCTBEngine rebuilds full hit information from HitBasedTrkg::..Hits and HitBasedTrkg::..HitTrkId banks. Extended to DCTBAIEngine for AI tracking.
      • Mechanism to select engine output bank names between conventional and AI.
    • Additional changes:
      • Constants class turned into a singleton to ensure all DC engines use the same configuration. Geometry factories now members of Constants class. Cleanup of unused constants. New initialization method.
      • T0 Table now read with ConstantsManager.
      • Added cluster IDs to Track bank.
      • New method for consistent assignment of track-dependent information to hits and subsequent updates.
      • TB tracking now rejects hits with not track-related information after HB.
      • New track overlap remover method now handles three-way overlaps.
      • Removal of duplicated clusters created to address the LR ambiguity.
      • Fix issues with cross and tracks duplication, removed unnecessary hit cloning.
      • New yaml variable to support choice of output bank names, switch off 5SL tracking, select one sector., turn on/off realignment of time information to hit doublets (off by default). Cleaner printouts of selected configuration. Configuration via environment variables removed.
  • EC: default reporting planes for ECinner and ECouter updated.
  • EB:
    • EBHBAI and EBTBAI engines to support parallel running of conventional and AI tracking.
    • Removed CTOF-CND veto from neutral PID assignment.
    • Cloning DetectorResponses to preserve track-related info in case of multiple associations.
  • FMT:
    • Use swimming to calculate DC track intersections instead of using values from DC trajectory bank: allows for iteration on FMT alignments without re-running the DC service.
    • Added timing cut to select good hits, excluding t==0 to preserve MC hits.
    • Merged FittedHit functionalities into Hit class.
  • MLTN:
    • New package providing the AI track inference information: includes classifier network to 6SL track identification and fixer network to predict missing layer for 5SL tracks.
    • Reads output of DC clustering engine and provide track candidate predictions in ai::tracks bank. Bank includes list of clusters, particle charge, z vertex and probability.
    • Relies on Archive class to handle multiple networks.
    • Supports network choice based on run and flavor.
    • Yaml option to read neural network file from path for testing purposes.
• Common-tools:
  • EngineProcessor updated to include new DC clustering service in default configuration.
  • New clas-logging package implementing java Logger, supporting different verbosity levels. Several classes in common-tools and reconstruction switched to Logger. Logging property files included as resources. Currently results in highest verbosity for reconstruction engines when run in Clara and for groovy scripts.
  • Post-processing supports overall helicity flip also or direct reporting.
• Other:
  • Updated DC and EB bankdefs json files to include AI banks.
  • Updated yaml files with examples on how to run conventional and AI-assisted tracking.
  • AI-assisted tracking neural net file with networks for RG-A Spring18, RG-A Fall18, RG-B Spring19
  • Advanced KPP test now checked both conventional and AI tracking results.
  • Switched all bin scripts to serial-GC.

Commits since 7.0.1