1,228 research outputs found

    Two-loop electroweak top corrections: are they under control?

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    The assumption that two-loop top corrections are well approximated by the O(Gmu2mt4)O(G_mu^2 mt^4) contribution is investigated. It is shown that in the case of the ratio neutral-to-charged current amplitudes at zero momentum transfer the O(Gmu2mt2MZ2)O(G_mu^2 mt^2 M_Z^2) terms are numerically comparable to the mt4m_t^4 contribution for realistic values of the top mass. An estimate of the theoretical error due to unknown two-loop top effect is presented for a few observables of LEP interest.Comment: 13 pages, LaTeX using equations, doublespace, cite macros. Hard copies of the paper including one figure are available from [email protected]

    Towards precise predictions for Higgs-boson production in the MSSM

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    We study the production of scalar and pseudoscalar Higgs bosons via gluon fusion and bottom-quark annihilation in the MSSM. Relying on the NNLO-QCD calculation implemented in the public code SusHi, we provide precise predictions for the Higgs-production cross section in six benchmark scenarios compatible with the LHC searches. We also provide a detailed discussion of the sources of theoretical uncertainty in our calculation. We examine the dependence of the cross section on the renormalization and factorization scales, on the precise definition of the Higgs-bottom coupling and on the choice of PDFs, as well as the uncertainties associated to our incomplete knowledge of the SUSY contributions through NNLO. In particular, a potentially large uncertainty originates from uncomputed higher-order QCD corrections to the bottom-quark contributions to gluon fusion.Comment: 62 pages, 24 pdf figures; v2: minor clarifications, improved plot quality, matches published versio

    Nonparametric Bayesian Mixed-effect Model: a Sparse Gaussian Process Approach

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    Multi-task learning models using Gaussian processes (GP) have been developed and successfully applied in various applications. The main difficulty with this approach is the computational cost of inference using the union of examples from all tasks. Therefore sparse solutions, that avoid using the entire data directly and instead use a set of informative "representatives" are desirable. The paper investigates this problem for the grouped mixed-effect GP model where each individual response is given by a fixed-effect, taken from one of a set of unknown groups, plus a random individual effect function that captures variations among individuals. Such models have been widely used in previous work but no sparse solutions have been developed. The paper presents the first sparse solution for such problems, showing how the sparse approximation can be obtained by maximizing a variational lower bound on the marginal likelihood, generalizing ideas from single-task Gaussian processes to handle the mixed-effect model as well as grouping. Experiments using artificial and real data validate the approach showing that it can recover the performance of inference with the full sample, that it outperforms baseline methods, and that it outperforms state of the art sparse solutions for other multi-task GP formulations.Comment: Preliminary version appeared in ECML201

    Theory Building as Integrated Reflection: Understanding Physician Reflection Through Human Communication Research, Medical Education, and Ethics

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    Grounded in a presupposition that a single explanatory framework cannot fully account for the expansive learning processes that occur during medical residency, the article examines developing physicians’ reflective writing from three disciplinary lenses. The goal is to understand how the multi-dimensional nature of medical residency translates into assembling educational experiences and constructing meaning that cannot be fully explained through a single discipline. An interdisciplinary research team across medical education, communication, and ethics qualitatively analyzed reflective entries (N=756) completed by family medicine residents (N=33) across an academic year. Results provide evidence for moving toward an integrated thematic explanation across disciplines. The authors suggest that the integration of disciplinary explanations allows for comprehensive understanding of reflection as a cornerstone in the broader formation of the physician. Examples provide evidence for an integrated understanding of a fuller human experience by considering the three thematic explanations as co-occurring, reciprocal processes

    The Multitude of Molecular Hydrogen Knots in the Helix Nebula

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    We present HST/NICMOS imaging of the H_2 2.12 \mu m emission in 5 fields in the Helix Nebula ranging in radial distance from 250-450" from the central star. The images reveal arcuate structures with their apexes pointing towards the central star. Comparison of these images with comparable resolution ground based images reveals that the molecular gas is more highly clumped than the ionized gas line tracers. From our images, we determine an average number density of knots in the molecular gas ranging from 162 knots/arcmin^2 in the denser regions to 18 knots/arcmin^2 in the lower density outer regions. Using this new number density, we estimate that the total number of knots in the Helix to be ~23,000 which is a factor of 6.5 larger than previous estimates. The total neutral gas mass in the Helix is 0.35 M_\odot assuming a mass of \~1.5x10^{-5} M_\odot for the individual knots. The H_2 intensity, 5-9x10^{-5} erg s^{-1} cm^{-2} sr^{-1}, remains relatively constant with projected distance from the central star suggesting a heating mechanism for the molecular gas that is distributed almost uniformly in the knots throughout the nebula. The temperature and H_2 2.12 \mu m intensity of the knots can be approximately explained by photodissociation regions (PDRs) in the individual knots; however, theoretical PDR models of PN under-predict the intensities of some knots by a factor of 10.Comment: 26 pages, 3 tables, 10 figures; AJ accepte

    Ethical considerations of telehealth: Access, inequity, trust, and overuse

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    In the U.S. healthcare system, telehealth is increasingly present and demands ethical assessment. On the one hand, telehealth increases access to healthcare services for some at-risk populations (e.g., people suffering from mental illness and addictions) and in specific contexts (e.g., rural). On the other hand, telehealth widens the digital divide and can lead to overuse of services. Furthermore, because it is still unclear how telehealth influences trust between patients and primary care clinicians, connecting relationship science and human communication research can inform critical reasoning. Finally, healthcare policy is advancing toward the wide adoption of telehealth. Hence, it is urgent to address these ethical issues and invest in further research

    Many-core applications to online track reconstruction in HEP experiments

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    Interest in parallel architectures applied to real time selections is growing in High Energy Physics (HEP) experiments. In this paper we describe performance measurements of Graphic Processing Units (GPUs) and Intel Many Integrated Core architecture (MIC) when applied to a typical HEP online task: the selection of events based on the trajectories of charged particles. We use as benchmark a scaled-up version of the algorithm used at CDF experiment at Tevatron for online track reconstruction - the SVT algorithm - as a realistic test-case for low-latency trigger systems using new computing architectures for LHC experiment. We examine the complexity/performance trade-off in porting existing serial algorithms to many-core devices. Measurements of both data processing and data transfer latency are shown, considering different I/O strategies to/from the parallel devices.Comment: Proceedings for the 20th International Conference on Computing in High Energy and Nuclear Physics (CHEP); missing acks adde
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