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Title: Precision determination of invisible-particle masses at the CERN LHC. II

Journal Article · · Physical Review. D, Particles Fields
;  [1];  [2]
  1. Department of Physics, Denys Wilkinson Building, University of Oxford, Keble Road, Oxford OX1 3RH (United Kingdom)
  2. Rudolf Peierls Centre for Theoretical Physics, University of Oxford, Keble Road, Oxford, OX1 3NP (United Kingdom)

We further develop the constrained mass variable techniques to determine the mass scale of invisible particles pair-produced at hadron colliders. We introduce the constrained mass variable M{sub 3C} which provides an event-by-event lower bound and upper bound to the mass scale given the two mass differences between the lightest three new particle states. This variable is most appropriate for short symmetric cascade decays involving two-body decays and on-shell intermediate states which end in standard-model particles and two dark-matter particles. An important feature of the constrained mass variables is that they do not rely simply on the position of the end point but use the additional information contained in events which lie far from the end point. To demonstrate our method we study the supersymmetric model SPS 1a. We select cuts to study events with two {chi}-tilde{sub 2}{sup 0} each of which decays to {chi}-tilde{sub 1}{sup 0}, and two opposite-sign same-flavor charged leptons through an intermediate on-shell slepton. We find that with 300 fb{sup -1} of integrated luminosity the invisible-particle mass can be measured to M{sub {chi}}{sub -}{sub tilde1{sup 0}}=96.4{+-}2.4 GeV. Combining fits to the shape of the M{sub 3C} constrained mass variable distribution with the maxm{sub ll} edge fixes the mass differences to {+-}0.2 GeV.

OSTI ID:
21308159
Journal Information:
Physical Review. D, Particles Fields, Vol. 79, Issue 7; Other Information: DOI: 10.1103/PhysRevD.79.074005; (c) 2009 The American Physical Society; Country of input: International Atomic Energy Agency (IAEA); ISSN 0556-2821
Country of Publication:
United States
Language:
English