Development of a Data-Driven Method to Simulate the Detector Response of Anti-neutron at BESIII

TL;DR

This paper introduces a data-driven simulation method for accurately modeling anti-neutron detector responses at BESIII, achieving less than 1% systematic uncertainty, which enhances precision in physics analyses involving anti-neutrons.

Contribution

A novel data-driven approach for simulating anti-neutron responses in the BESIII electromagnetic calorimeter with high accuracy and low systematic uncertainty.

Findings

Systematic uncertainty less than 1%

Effective simulation of anti-neutron observables

Applicable to various physics processes involving anti-neutrons

Abstract

In this paper, a data-driven method to precisely simulate the detector response of the anti-neutron depositing in the Electromagnetic Calorimeter (EMC)at BESIII is introduced. A large anti-neutron data sample can be selected using the decay $J/\psi\to p\bar{n}\pi^{-}$ from the BESIII data sample of 10 billion $J/\psi$ events. The detection efficiency for and various observables of anti-neutrons interacting in the EMC detector are simulated, taking the correlations among the variables into consideration. The systematic uncertainty of this data-driven simulation method is determined to be less than 1\% on average. This method can be widely applied in physics processes that require precise simulation of the detector response of anti-neutrons in the EMC.