Modelling detector-specific reconstruction uncertainties in LAr-TPC
D'Auria, Lorenzo Vincenzo · 2025
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Description
Lorenzo Vincenzo D'Auria, supervised by Harry Hausner and Angela Fava, modeled errors in liquid argon detectors for FERMILAB-TM-2791-STUDENT. The setting is Fermilab's Short-Baseline Neutrino program. Three detectors sit along the Booster Neutrino Beam: the near detector, MicroBooNE, and ICARUS T600 at 600 meters. The PANDORA algorithm performs pattern recognition on their data. Its failures become errors downstream: wrong energies, poor particle identification. D'Auria focused on one failure mode, split tracks, where missing hits or stitching break one particle's track into pieces.
The internship characterized and quantified how split tracks distort the rebuild. Once the effect's shapes were understood, they were built into the HARPS tool. HARPS generates datasets with hits removed, mimicking the detector's failure pattern. Analysts can measure algorithms against damage. That turns a nuisance into a budgeted systematic. The report gives the SBN program a way to price rebuild imperfection before it skews oscillation results.
Catalog record
| CREATOR | D'Auria, Lorenzo Vincenzo |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 47 KB |
| LICENSE | Public Domain |
| RIGHTS | PUBLIC DOMAIN |
| SOURCE | DOE OSTI |