15 research outputs found

    Inclusive and differential cross-section measurements of t\bartZ production in pp collisions at √s=13 TeV with the ATLAS detector, including EFT and spin-correlation interpretations

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    Measurements of both the inclusive and differential production cross sections of a top-quark-top-antiquark pair in association with a Z boson (ttÂŻZ) are presented. Final states with two, three or four isolated leptons (electrons or muons) are targeted. The measurements use the data recorded by the ATLAS detector in pp collisions at s√=13 TeV at the Large Hadron Collider during the years 2015-2018, corresponding to an integrated luminosity of 140 fb−1. The inclusive cross section is measured to be σttÂŻZ=0.86±0.04 (stat.)±0.04 (syst.) pb and found to be in agreement with the most advanced Standard Model predictions. The differential measurements are presented as a function of a number of observables that probe the kinematics of the ttÂŻZ system. Both the absolute and normalised differential cross-section measurements are performed at particle level and parton level for specific fiducial volumes, and are compared with NLO+NNLL theoretical predictions. The results are interpreted in the framework of Standard Model effective field theory and used to set limits on a large number of dimension-6 operators involving the top quark. The first measurement of spin correlations in ttÂŻZ events is presented: the results are in agreement with the Standard Model expectations, and the null hypothesis of no spin correlations is disfavoured with a significance of 1.8 standard deviations

    Observation of quantum entanglement in top-quark pairs using the ATLAS detector

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    We report the highest-energy observation of entanglement, in top−antitop quark events produced at the Large Hadron Collider, using a proton−proton collision data set with a center-of-mass energy of s√=13 TeV and an integrated luminosity of 140 fb−1 recorded with the ATLAS experiment. Spin entanglement is detected from the measurement of a single observable D, inferred from the angle between the charged leptons in their parent top- and antitop-quark rest frames. The observable is measured in a narrow interval around the top−antitop quark production threshold, where the entanglement detection is expected to be significant. It is reported in a fiducial phase space defined with stable particles to minimize the uncertainties that stem from limitations of the Monte Carlo event generators and the parton shower model in modelling top-quark pair production. The entanglement marker is measured to be D=−0.547±0.002 (stat.)±0.021 (syst.) for 340<mttÂŻ<380 GeV. The observed result is more than five standard deviations from a scenario without entanglement and hence constitutes both the first observation of entanglement in a pair of quarks and the highest-energy observation of entanglement to date

    A multimodal cell census and atlas of the mammalian primary motor cortex

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    ABSTRACT We report the generation of a multimodal cell census and atlas of the mammalian primary motor cortex (MOp or M1) as the initial product of the BRAIN Initiative Cell Census Network (BICCN). This was achieved by coordinated large-scale analyses of single-cell transcriptomes, chromatin accessibility, DNA methylomes, spatially resolved single-cell transcriptomes, morphological and electrophysiological properties, and cellular resolution input-output mapping, integrated through cross-modal computational analysis. Together, our results advance the collective knowledge and understanding of brain cell type organization: First, our study reveals a unified molecular genetic landscape of cortical cell types that congruently integrates their transcriptome, open chromatin and DNA methylation maps. Second, cross-species analysis achieves a unified taxonomy of transcriptomic types and their hierarchical organization that are conserved from mouse to marmoset and human. Third, cross-modal analysis provides compelling evidence for the epigenomic, transcriptomic, and gene regulatory basis of neuronal phenotypes such as their physiological and anatomical properties, demonstrating the biological validity and genomic underpinning of neuron types and subtypes. Fourth, in situ single-cell transcriptomics provides a spatially-resolved cell type atlas of the motor cortex. Fifth, integrated transcriptomic, epigenomic and anatomical analyses reveal the correspondence between neural circuits and transcriptomic cell types. We further present an extensive genetic toolset for targeting and fate mapping glutamatergic projection neuron types toward linking their developmental trajectory to their circuit function. Together, our results establish a unified and mechanistic framework of neuronal cell type organization that integrates multi-layered molecular genetic and spatial information with multi-faceted phenotypic properties

    A Study of the Relationship between Perceived Usefulness, Perceived Ease of Use, Institutional Objectives and Intent to Use Peanut Butter Swirl Student Success Software Using the ioTAM Theoretical Framework

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    CCX, a small, rural community college in the United States began offering a flexible, online, competency-based educational delivery model in some of its educational programs in the fall semester of the 2018-2019 school year. The new offering provided students a great deal of flexibility, but student success rates decreased. The college expressed an interest in improving the processes surrounding student support in the new format in an effort to increase success rates. In response, the researcher developed a prototype student success tool for college staff to test and provide feedback on utilizing the researcher-developed Institutional Objective Technology Acceptance Model (ioTAM) framework. An email was sent out to 48 CCX staff members to test the prototype software and complete a survey related to their experience. The survey measured the participant’s perceived usefulness (PU), perceived ease of use (PEOU), perceived belief that the software could benefit an institutional objective (IO), which in this case was increase student success, and their behavioral intention to use the software (BI). The survey had 31 valid responses. Correlational analysis was performed on survey responses and the data showed a positive correlation amongst all variables. The results suggest that participants believe Peanut Butter Swirl student success software would positively benefit their new educational offering and help to increase student success rates. The study also demonstrates a working example of the researcher-developed ioTAM framework, which may lead to more robust technology selection decisions
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