The HBOM Method for Unfolding Detector Effects

TL;DR

The paper introduces the HBOM method, a model-independent, data-driven technique for correcting measurements for detector effects by iterative application and extrapolation, demonstrated on the two-particle correlation function.

Contribution

The HBOM method provides a novel, model-independent approach for unfolding detector effects using iterative application and extrapolation, applicable to complex observables.

Findings

Effective correction of the two-particle correlation function demonstrated

Method is model-independent and potentially data-driven

Applicable to various measurements affected by detector imperfections

Abstract

We present the Hit Backspace Once More (HBOM) method for correcting a measurement for the effect of an imperfect detector. The HBOM method is a model-independent and potentially data-driven technique that repeatedly applies a parameterisation of the detector effect to observed data. The correction is determined by extrapolating the data so-obtained to a detector effect of zero. We demonstrate this technique using the two particle correlation function, which is an observable that can otherwise be difficult to correct for systematic shifts introduced by the detector.