# Search for a Low Energy Excess in MicroBooNE

## TL;DR

This paper reports on the search for a low-energy excess in MicroBooNE, utilizing automated event selection algorithms to identify specific neutrino interactions and validate the analysis through various cross checks.

## Contribution

It introduces a fully automated event selection algorithm for identifying charged-current electron neutrino events in MicroBooNE data.

## Key findings

- Development of an automated event selection algorithm
- Validation of analysis through cross checks and sidebands
- Progress towards identifying low-energy neutrino events

## Abstract

MicroBooNE (the Micro Booster Neutrino Experiment) is a liquid argon time-projection chamber (TPC) experiment designed for short-baseline neutrino physics, currently running at Fermilab. It aims to address the anomalous excess of low-energy events observed by the MiniBooNE experiment. Recent progress towards the search for the low-energy events have brought to develop fully automated event selection algorithm to identify charged-current electron neutrino event candidates with no pions and at least one proton in the final state ($\nu_e~\text{CC} 0\pi \text{N}p$) using the Pandora multi-algorithm pattern recognition. Several cross checks and sidebands have been studied so far to validate the analysis.