General

• Checks on area overlap: Trending of CoG resolution degradation can not be reproduced when using q < Q_cut and also not for q > Q_cut, although the number of histogram entries matches the expected number
• Black data: Asked Alex Schmah, he provided me with the path at GSI, so I will now also investigate that data

Framework

• Now several PR's ongoing, this is the most recent one, it includes the ONNX runtime library in O2: https://github.com/AliceO2Group/AliceO2/pull/13709
  • Not sure why copyright header check fails even though I have the specific file in 3rdparty
  • o2-cs8 check fails with 1 error (looks like one track ref is not found):
    

    549/549 Test #506: o2sim_checksimkinematics_G3 ..........................................................Subprocess aborted***Exception:   1.90 sec
    99% tests passed, 1 tests failed out of 549

    But this PR is fully independent of any code that runs (no implementation in any task yet)
  • Otherwise it compiles for all checks, so it would be nice to merge this 

Multi-class networks

• Ran the full chain but found significant degradation in tracking efficiency / fake-rate -> investigating

Plans & To-Do's

Title and text; High priority, medium priority, low priority; short term, mid term, long term; other

• Neural networks
  • Cluster splitter network
    • (✓) N-class classifier network: Probably only going until split-level 2 or 3. Higher gets really sparse in training data
    • (✓) N-class regression network: Similar approach as the N-class classifier, but need to see how good performance is...
  • Pass momentum vector to downstream reconstruction
  • Check performance of NN's on black data
• GPU developments
  • Pull requests
    • O2
      • PR, ORT library integration: https://github.com/AliceO2Group/AliceO2/pull/13709
      • PR, Full clusterization integration: https://github.com/AliceO2Group/AliceO2/pull/13610
    • alidist
      • PR, ORT GPU build: https://github.com/alisw/alidist/pull/5622
  • Issues & Feature requests
    • OnnxRuntime
      • Coming up...
• QA task & algorithmic developments
  • Include SC distortion simulation
  • Use black PbPb data to evaluate performance and for training
  • Redo 2D study with NN