Kinematic fitting of Neutral current events in deep inelastic ep collisions

TL;DR

This paper introduces a Bayesian kinematic fitting method for reconstructing deep inelastic ep scattering variables, improving resolution and estimating initial state radiation energy using full data potential.

Contribution

It presents a novel Bayesian kinematic fit technique that enhances the reconstruction accuracy of scaling variables and estimates initial state radiation energy in deep inelastic ep scattering.

Findings

Achieves better resolution than standard methods

Successfully estimates initial state radiation energy

Validated on simulated data at 318 GeV center of mass energy

Abstract

In this paper we present a technique to reconstruct the scaling variables defining $ep$ deep inelastic scattering by performing a kinematic fit. This reconstruction technique makes use of the full potential of the data collected. It is based on Bayes Theorem and involves the use of informative priors. The kinematic fit method has been tested for the neutral current ep simulated sample at a center of mass energy of 318 GeV with $Q^2$ > 400 GeV$^2$. In addition to the scaling variables, this method is able to estimate the energy of possible initial state radiation (E$_\gamma$ ) which otherwise goes undetected. A better resolution than standard electron and double angle techniques in the reconstruction of scaling variables is achieved using a kinematic fit.