Constraining SUSY models with Fittino using measurements before, with and beyond the LHC

TL;DR

This paper uses a global fit approach to constrain supersymmetry models with current and future measurements, predicting particle masses, uncertainties, and the impact of different colliders on parameter precision.

Contribution

It introduces a comprehensive method for constraining SUSY models with existing data and forecasts the improvements from future collider measurements, including uncertainty bands and ambiguity treatment.

Findings

Significant constraints on supersymmetric particle masses from current data.

Predicted mass spectra include full uncertainty bands for the first time.

Future linear collider measurements can improve parameter precision by an order of magnitude.

Abstract

We investigate the constraints on Supersymmetry arising from available precision measurements using a global fit approach. When interpreted within minimal supergravity (mSUGRA), the data provide significant constraints on the masses of supersymmetric particles, which are predicted to be light enough for an early discovery at the Large Hadron Collider (LHC). We provide predicted mass spectra including, for the first time, full uncertainty bands. The most stringent constraint is from the measurement of the anomalous magnetic moment of the muon. Using the results of these fits, we investigate to which precision mSUGRA and more general MSSM parameters can be measured by the LHC experiments with three different integrated luminosities for a parameter point which approximately lies in the region preferred by current data. The impact of the already available measurements on these precisions, when combined with LHC data, is also studied. We develop a method to treat ambiguities arising from different interpretations of the data within one model and provide a way to differentiate between values of different digital parameters of a model. Finally, we show how measurements at a linear collider with up to 1 TeV centre-of-mass energy will help to improve precision by an order of magnitude.