Speaker
Description
Constrained fits improve the kinematic reconstruction of the final state in many Higgs, top and electroweak physics studies. This is a powerful tool, particularly at $e^{+}e^{-} $ colliders where the initial state four-momentum is known and can be employed to constrain the final state. An accurate estimate of the measurement uncertainties, particularly for composed objects like jets, is a crucial ingredient to kinematic fitting. Detectors optimized for particle-flow reconstruction provide a detailed estimation of the covariance matrices for individual particle flow objects in addition to an excellent four-momentum measurement. These can be combined to derive an estimate of the individual covariance matrix of the four-momentum of each jet by an algorithm called ErrorFlow. This contribution will present the improvements by the application of ErrorFlow in the $ZH$ versus $ZZ$ separation at $\sqrt{s}$=250 GeV, using the full simulation of the International Large Detector as an example of a highly-granular ParticleFlow optimized detector concept.
