Novel Approach for Evaluating Detector-Related Uncertainties in a LArTPC Using MicroBooNE Data

TL;DR

This paper introduces a new method to evaluate and propagate detector-related uncertainties in liquid argon TPCs by modifying simulation waveforms based on observed data-simulation differences, aiding future neutrino experiments.

Contribution

The paper presents a novel technique that modifies simulation waveforms to assess systematic uncertainties, remaining insensitive to detector model details.

Findings

Effective quantification of systematic differences in reconstructed quantities.

Applicable to future LArTPC detectors like SBN and DUNE.

Provides a robust method for uncertainty evaluation.

Abstract

Primary challenges for current and future precision neutrino experiments using liquid argon time projection chambers (LArTPCs) include understanding detector effects and quantifying the associated systematic uncertainties. This paper presents a novel technique for assessing and propagating LArTPC detector-related systematic uncertainties. The technique makes modifications to simulation waveforms based on a parameterization of observed differences in ionization signals from the TPC between data and simulation, while remaining insensitive to the details of the detector model. The modifications are then used to quantify the systematic differences in low- and high-level reconstructed quantities. This approach could be applied to future LArTPC detectors, such as those used in SBN and DUNE.