Measurement of SUSY masses via cascade decays for SPS 1a

By B. Gjelsten, David J. Miller, P. Osland. 2004

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If R-parity conserving supersymmetry exists below the TeV-scale, new particles will be produced and decay in cascades at the LHC. The lightest supersymmetric particle will escape the detectors, thereby complicating the full reconstruction of the decay chains. In this paper we expand on existing methods for determining the masses of the particles in the cascade from endpoints of kinematical distributions. We perform scans in the mSUGRA parameter space to delimit the region where this method is applicable. From the examination of theoretical distributions for a wide selection of mass scenarios it is found that caution must be exerted when equating the theoretical endpoints with the experimentally obtainable ones. We provide analytic formulae for the masses in terms of the endpoints most readily available. Complications due to the composite nature of the endpoint expressions are discussed in relation to the detailed analysis of two points on the SPS 1a line. Finally we demonstrate how a Linear Collider measurement can improve dramatically on the precision of the masses obtained.

Subfields: Artificial Intelligence, Nuclear and High Energy Physics

View Paper: https://www.semanticscholar.org/paper/8ffcbbbb02d24989edaefcc16b72d8ff12e548ea

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Citations in the corpus

Using subsystem MT2 for complete mass determinations in decay chains with missing energy at hadron colliders (2008, background): “It is well known that in some regions of parameter space the upper endpoint of the Mqll distribution does not provide an independent measurement, since it can be related to the upper endpoints of the Ml+l− and Mql(high) ≡ max{Mql+ ,Mql−} distributions [20].”
A review of the mass measurement techniques proposed for the Large Hadron Collider (2010, background): “Furthermore, such invariant mass distributions can evolve non-trivial shapes, and can acquire undesirable features (so called “feet”) near the end points which might in some cases make end-point measurement prone to large systematic errors [65, 80, 81].”