mlreco.post_processing.analysis.michel_reconstruction_noghost module

mlreco.post_processing.analysis.michel_reconstruction_noghost.michel_reconstruction_noghost(cfg, data_blob, res, logdir, iteration)[source]

Very simple algorithm to reconstruct Michel clusters from UResNet semantic segmentation output.

Parameters

  • data_blob (dict) – Input dictionary returned by iotools

  • res (dict) – Results from the network, dictionary using analysis_keys

  • cfg (dict) – Configuration

  • idx (int) – Iteration number

Notes

Assumes 3D

Requires the following analysis keys: - segmentation output of UResNet Requires the following input keys: - input_data - segment_label - particles_label to get detailed information such as energy. - clusters_label from cluster3d_mcst for true clusters informations

Output

  • Writes 2 CSV files

  • - `michel_reconstruction-*`

  • - `michel_reconstruction2-*`

mlreco.post_processing.analysis.michel_reconstruction_2d module mlreco.post_processing.analysis.muon_residual_range module