3,537 research outputs found

    Gauge Mediated Mini-Split

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    We propose a simple model of split supersymmetry from gauge mediation. This model features gauginos that are parametrically a loop factor lighter than scalars, accommodates a Higgs boson mass of 125 GeV, and incorporates a simple solution to the μbμ\mu-b_\mu problem. The gaugino mass suppression can be understood as resulting from collective symmetry breaking. Imposing collider bounds on μ\mu and requiring viable electroweak symmetry breaking implies small aa-terms and small tanβ\tan \beta -- the stop mass ranges from 10510^5 to 10^8 \mbox{ GeV}. In contrast with models with anomaly + gravity mediation (which also predict a one-loop loop suppression for gaugino masses), our gauge mediated scenario predicts aligned squark masses and a gravitino LSP. Gluinos, electroweakinos and Higgsinos can be accessible at the LHC and/or future colliders for a wide region of the allowed parameter space.Comment: 16 pages, 1 figure. Journal version, references adde

    Sonnet for Lisa

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    Moth Ice

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    Poem For The Left Hand

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    Tom Swift in Hell

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    Plain Or Ringlets?

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    To Arlette

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    The Exile

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    Towards a classifier for digital sensitivity review

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    The sensitivity review of government records is essential before they can be released to the official government archives, to prevent sensitive information (such as personal information, or that which is prejudicial to international relations) from being released. As records are typically reviewed and released after a period of decades, sensitivity review practices are still based on paper records. The transition to digital records brings new challenges, e.g. increased volume of digital records, making current practices impractical to use. In this paper, we describe our current work towards developing a sensitivity review classifier that can identify and prioritise potentially sensitive digital records for review. Using a test collection built from government records with real sensitivities identified by government assessors, we show that considering the entities present in each record can markedly improve upon a text classification baseline
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