IRIS-HEP Fellow: Nupur Oza

Fellowship dates: May – Aug, 2021

Home Institution: University of Pennsylvania

Project: Implementation of ML algorithms for ambiguity resolution in ACTS track reconstruction

The high-pileup of collisions associated with the upgrade of the HL-LHC will offer serious computational limitations to particle tracking. ACTS, an experiment independent tool for track reconstruction, is especially CPU-expensive in its ambiguity solving step. To mitigate this, this project seeks to implement ML-based algorithms for ambiguity solving and final track resolution within ACTS.

More information: My project proposal

  • Dr. Carlo Varni (UC Berkeley)

  • Professor Heather Gray (UC Berkeley, LBNL)

Presentations and Publications
Current Status

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