5,386 research outputs found

    Tevatron Discovery Potential for Fourth Generation Neutrinos: Dirac, Majorana and Everything in Between

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    We analyze the power of the Tevatron dataset to exclude or discover fourth generation neutrinos. In a general framework, one can have mixed left- and right-handed neutrinos, with Dirac and Majorana neutrinos as extreme cases. We demonstrate that a single Tevatron experiment can make powerful statements across the entire mixing space, extending LEP's mass limits of 60-80 GeV up to 150-175 GeV, depending on the mixing.Comment: 4 pages, pdflate

    Limiting SUSY compressed spectra scenarios

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    Typical searches for supersymmetry cannot test models in which the two lightest particles have a small ("compressed") mass splitting, due to the small momentum of the particles produced in the decay of the second-to-lightest particle. However, datasets with large missing transverse momentum (ETmissE_{\rm T}^{\rm miss}) can generically search for invisible particle production and therefore provide constraints on such models. We apply data from the ATLAS mono-jet (jet+ETmissE_{\rm T}^{\rm miss}) and vector-boson-fusion (forward jets and ETmissE_{\rm T}^{\rm miss}) searches to such models. The two datasets have complementary sensitivity, but in all cases experimental limits are at least five times weaker than theoretical predictions

    Searching for ZZ' bosons decaying to gluons

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    The production and decay of a new heavy vector boson, a chromophilic ZZ' vector boson, is described. The chromophilic ZZ' couples only to two gluons, but its two-body decays are absent, leading to a dominant decay mode of ZqqˉgZ'\rightarrow q\bar{q}g. The unusual nature of the interaction predicts a cross-section which grows with mZm_{Z'} for a fixed coupling and an accompanying gluon with a coupling that rises with its energy. We study the ttˉgt\bar{t}g decay mode, proposing distinct reconstruction techniques for the observation of an excess and for the measurement of mZm_{Z'}. We estimate the sensitivity of current experimental datasets.Comment: For submission to PR

    WIRED: World Wide Web Interactive Remote Event Display

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    WIRED is a framework, written in Java, to build High Energy Physics event displays that can be used across the network. To guarantee portability across all platforms, WIRED is implemented in the Java language and uses the Swing user interface component set. It can be used as a stand-alone application or as an applet inside a WWW browser. The graphical user interface allows for multiple views and for multiple controls acting on those views. A detector tree control is available to toggle the visibility of parts of the events and detector geometry. XML (Extensible Markup Language), RMI (Remote Method Invocation) and CORBA loaders can be used to load event data as well as geometry data, and to connect to FORTRAN, C, C++ and Java reconstruction programs. Non-linear and non-Cartesian projections (e.g. fish-eye, rho-phi, rho-Z, phi-Z) provide special views to get a better understanding of events. WIRED has grown to be a framework in use and under development in several HEP experiments (ATLAS, CHORUS, DELPHI, LHCb, BaBar, D0 and ZEUS). WIRED event displays have also proven to be useful to explain High Energy Physics to the general public. Both CERN, in its travelling exhibition and MicroCosm, and RAL, during its open days, have displays set up

    Interactive Evolution of Complex Behaviours Through Skill Encapsulation

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    Human-based computation (HBC) is an emerging research area in which humans and machines collaborate to solve tasks that neither one can solve in isolation. In evolutionary computation, HBC is often realized through interactive evolutionary computation (IEC), in which a user guides evolution by iteratively selecting the parents for the next generation. IEC has shown promise in a variety of different domains, but evolving more complex or hierarchically composed behaviours remains challenging with the traditional IEC approach. To overcome this challenge, this paper combines the recently introduced ESP (encapsulation, syllabus and pandemonium) algorithm with IEC to allow users to intuitively break complex challenges into smaller pieces and preserve, reuse and combine interactively evolved sub-skills. The combination of ESP principles with IEC provides a new way in which human insights can be leveraged in evolutionary computation and, as the results in this paper show, IEC-ESP is able to solve complex control problems that are challenging for a traditional fitness-based approach
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