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forynski merged 1 commit into from
Aug 11, 2026
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[MegaLinter] Apply linters automatic fixes to #17419 #6

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60 changes: 30 additions & 30 deletions Tools/PIDFeatureExtractor/README.md
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Expand Up @@ -35,18 +35,18 @@ Mode is a runtime switch - enable `processData` for real data or

### PidFeatureExtractor options

| Option | Default | What it does |
|---|---|---|
| `outputPath` | `pid_features` | Output file base name |
| `exportROOT` | `true` | Write a ROOT file |
| `exportCsv` | `false` | Also write CSV |
| `etaMin` / `etaMax` | `-99` / `99` | Eta cut - wide open by default (no cut) |
| `ptMin` / `ptMax` | `0` / `9999` | pT cut, GeV/c - wide open by default |
| `dcaXYMax` / `dcaZMax` | `9999` / `9999` | DCA cuts, cm - wide open by default |
| `itsMinClusters` | `0` | Minimum ITS clusters - `0` = no cut |
| `tpcMinClusters` | `0` | Minimum TPC clusters - `0` = no cut |
| `computeBayesianPid` | `true` | Compute the comparison Bayesian posterior |
| `bayesianPriors` | flat (`1,1,1,1`) | Per-species priors `[pi, ka, pr, el]` for the Bayesian posterior |
| Option | Default | What it does |
|------------------------|------------------|------------------------------------------------------------------|
| `outputPath` | `pid_features` | Output file base name |
| `exportROOT` | `true` | Write a ROOT file |
| `exportCsv` | `false` | Also write CSV |
| `etaMin` / `etaMax` | `-99` / `99` | Eta cut - wide open by default (no cut) |
| `ptMin` / `ptMax` | `0` / `9999` | pT cut, GeV/c - wide open by default |
| `dcaXYMax` / `dcaZMax` | `9999` / `9999` | DCA cuts, cm - wide open by default |
| `itsMinClusters` | `0` | Minimum ITS clusters - `0` = no cut |
| `tpcMinClusters` | `0` | Minimum TPC clusters - `0` = no cut |
| `computeBayesianPid` | `true` | Compute the comparison Bayesian posterior |
| `bayesianPriors` | flat (`1,1,1,1`) | Per-species priors `[pi, ka, pr, el]` for the Bayesian posterior |

All the cuts default to "off" - tighten them in your config if you want
quality selection applied here rather than downstream.
Expand All @@ -73,24 +73,24 @@ detector miss would look.

### PidOnnxInference options

| Option | Default | What it does |
|---|---|---|
| `inputRootFile` | `pid_features_data.root` | File written by `PidFeatureExtractor` |
| `inputTreeName` | `pid_features` | Tree name inside it |
| `outputPath` | `pid_predictions` | Output file base name |
| `exportCsv` | `false` | Also write CSV |
| `loadModelFromCcdb` | `true` | Load the model from CCDB; set `false` to use a local file instead |
| `ccdbUrl` | `http://alice-ccdb.cern.ch` | |
| `modelPathsCcdb` | *(placeholder)* | CCDB path to your model - set this to a real path before running |
| `timestampCcdb` | `-1` | `-1` = latest |
| `onnxFileNames` | `pid_feature_model.onnx` | Local model file, used when `loadModelFromCcdb` is `false` |
| `useTPC` | `true` | Include TPC. Set `false` to exclude it from inference regardless of the data |
| `useTOF` | `true` | Include TOF |
| `useTRD` | `true` | Include TRD |
| `useITS` | `true` | Include ITS |
| `useEMCal` | `true` | Include EMCal |
| `useHMPID` | `true` | Include HMPID |
| `useCentrality` | `true` | Include event centrality |
| Option | Default | What it does |
|---------------------|-----------------------------|------------------------------------------------------------------------------|
| `inputRootFile` | `pid_features_data.root` | File written by `PidFeatureExtractor` |
| `inputTreeName` | `pid_features` | Tree name inside it |
| `outputPath` | `pid_predictions` | Output file base name |
| `exportCsv` | `false` | Also write CSV |
| `loadModelFromCcdb` | `true` | Load the model from CCDB; set `false` to use a local file instead |
| `ccdbUrl` | `http://alice-ccdb.cern.ch` | |
| `modelPathsCcdb` | *(placeholder)* | CCDB path to your model - set this to a real path before running |
| `timestampCcdb` | `-1` | `-1` = latest |
| `onnxFileNames` | `pid_feature_model.onnx` | Local model file, used when `loadModelFromCcdb` is `false` |
| `useTPC` | `true` | Include TPC. Set `false` to exclude it from inference regardless of the data |
| `useTOF` | `true` | Include TOF |
| `useTRD` | `true` | Include TRD |
| `useITS` | `true` | Include ITS |
| `useEMCal` | `true` | Include EMCal |
| `useHMPID` | `true` | Include HMPID |
| `useCentrality` | `true` | Include event centrality |

Output columns are `mlProbPi`, `mlProbKa`, `mlProbPr`, `mlProbEl` (one
probability per species) and `mlPredictedClass` (the most likely species,
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