Detecting kinematic boundary surfaces in phase space: particle mass measurements in SUSY-like events
Dipsikha Debnath, James S. Gainer, Can Kilic, Doojin Kim, Konstantin, T. Matchev, Yuan-Pao Yang

TL;DR
This paper introduces a novel geometric method using Voronoi tessellation to detect kinematic boundaries in phase space, improving particle mass measurements in SUSY-like events where traditional endpoint methods struggle.
Contribution
It develops an algorithm based on Voronoi tessellation and a new observable, $ar extSigma$, to accurately determine particle masses from complex phase space boundaries.
Findings
The $ar extSigma$ maximum correlates with true particle masses.
The method extends endpoint techniques to three-dimensional phase space.
Improves mass scale determination in challenging parameter regions.
Abstract
We critically examine the classic endpoint method for particle mass determination, focusing on difficult corners of parameter space, where some of the measurements are not independent, while others are adversely affected by the experimental resolution. In such scenarios, mass differences can be measured relatively well, but the overall mass scale remains poorly constrained. Using the example of the standard SUSY decay chain , we demonstrate that sensitivity to the remaining mass scale parameter can be recovered by measuring the two-dimensional kinematical boundary in the relevant three-dimensional phase space of invariant masses squared. We develop an algorithm for detecting this boundary, which uses the geometric properties of the Voronoi tessellation of the data, and in particular, the relative standard deviation (RSD) of…
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