71,959 research outputs found

    Reconstructing events with missing transverse momentum at the LHC and its application to spin measurement

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    In this article we discuss the measurement of spin at the LHC, in events with two unknown four-momenta. Central to this problem is the identification of spin-dependent kinematic variables and the construction of a statistical test that can distinguish between different spin hypotheses. We propose a method for reconstructing kinematic variables that depend upon the unknown momenta. The method is based upon a probabilistic reconstruction of each event, given the masses of the final and intermediate states and the cross-section of the assumed hypothesis. We demonstrate that this method can distinguish between two spin hypotheses for a specific process, even after mass uncertainties and Standard Model backgrounds are taken into account. We compare our method with another that only utilises the observable momenta of each event. We will show that our method permits an improved discrimination between hypotheses, with a reduced probability of error.Comment: 20 pages, 13 figures. Minor changes to text, references adde

    Improving Emergency Response in the Outpatient Clinic Setting

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    Background: Effective triage, assessment, and activation of necessary systems in emergent situations of clinical instability is vital in reducing morbidity and mortality of patients in any clinical setting. When medical emergencies occur outside of the hospital, organized and expedited transfer to a higher level of care reduces the potential for adverse events, lasting deficits, and patient death. Aim: The aim of this project was to identify weaknesses in the emergency response system in the community-based outpatient clinic setting and to propose solutions. Methods: The “Swiss Cheese” theoretical framework was used to do a root cause analysis of two clinical scenarios. Weaknesses in the emergency response system in the community-based outpatient clinic setting were identified. Results: Several tools were utilized including a fish bone diagram and the 5-Whys tool. Two root causes were identified. The first is that clinic staff does not have a working knowledge with specifics regarding the emergency response process. The second is that the existing emergency response checklist document is visually confusing and duties are not in sequence. Discussion and Implications for the CNL: Weaknesses in the emergency response system will be discussed. Knowledge and experience from inpatient care will be translated to the outpatient clinic setting. The role of the CNL in designing an effective emergency response system will be discussed with the proposal of several plans of action

    Challenges and opportunities for statistics and statistical education: looking back, looking forward

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    The 175th anniversary of the ASA provides an opportunity to look back into the past and peer into the future. What led our forebears to found the association? What commonalities do we still see? What insights might we glean from their experiences and observations? I will use the anniversary as a chance to reflect on where we are now and where we are headed in terms of statistical education amidst the growth of data science. Statistics is the science of learning from data. By fostering more multivariable thinking, building data-related skills, and developing simulation-based problem solving, we can help to ensure that statisticians are fully engaged in data science and the analysis of the abundance of data now available to us.Comment: In press: The American Statisticia

    Relativistically invariant extension of the de Broglie-Bohm theory of quantum mechanics

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    We show that quantum mechanics can be given a Lorentz-invariant realistic interpretation by applying our recently proposed relativistic extension of the de Broglie-Bohm theory to deduce non-locally correlated, Lorentz-invariant individual particle motions for the Einstein-Podolsky-Rosen experiment and the double-interferometer experiment proposed by Horne, Shimony and Zeilinger.Comment: Revised version thanks to the referees comments. 4 pages, 4 figure

    Spatio-Temporal Analysis of Team Sports -- A Survey

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    Team-based invasion sports such as football, basketball and hockey are similar in the sense that the players are able to move freely around the playing area; and that player and team performance cannot be fully analysed without considering the movements and interactions of all players as a group. State of the art object tracking systems now produce spatio-temporal traces of player trajectories with high definition and high frequency, and this, in turn, has facilitated a variety of research efforts, across many disciplines, to extract insight from the trajectories. We survey recent research efforts that use spatio-temporal data from team sports as input, and involve non-trivial computation. This article categorises the research efforts in a coherent framework and identifies a number of open research questions.Comment: 42 pages, 11 figure
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