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The MicroBooNE liquid argon time projection chamber located at Fermilab is aneutrino experiment dedicated to the study of short-baseline oscillations, themeasurements of neutrino cross sections in liquid argon, and to the researchand development of this novel detector technology. Accurate and precisemeasurements of calorimetry are essential to the event reconstruction and areachieved by leveraging the TPC to measure deposited energy per unit lengthalong the particle trajectory, with mm resolution. We describe the non-uniformcalorimetric reconstruction performance in the detector, showing dependence onthe angle of the particle trajectory. Such non-uniform reconstruction directlyaffects the performance of the particle identification algorithms which inferparticle type from calorimetric measurements. This work presents a new particleidentification method which accounts for and effectively addresses suchnon-uniformity. The newly developed method shows improved performance comparedto previous algorithms, illustrated by a 94% proton selection efficiency and a10% muon mis-identification rate, with a fairly loose selection of tracksperformed on beam data. The performance is further demonstrated by identifyingexclusive final states in $\nu_{\mu} CC$ interactions. While developed usingMicroBooNE data and simulation, this method is easily applicable to futureLArTPC experiments, such as SBND, ICARUS, and DUNE.

Calorimetric classification of track-like signatures in liquid argon TPCs using MicroBooNE data