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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Aaboud, M.; ATLAS Collaboration; Barreiro Alonso, Fernando; Calvente López, S.; +5 Authors

    We acknowledge the support of ANPCyT, Argentina; YerPhI, Armenia; ARC, Australia; BMWFW and FWF, Austria; ANAS, Azerbaijan; SSTC, Belarus; CNPq and FAPESP, Brazil; NSERC, NRC and CFI, Canada; CERN; CONICYT, Chile; CAS, MOST and NSFC, China; COLCIENCIAS, Colombia; MSMT CR, MPO CR and VSC CR, Czech Republic; DNRF and DNSRC, Denmark; IN2P3-CNRS, CEA-DSM/IRFU, France; GNSF, Georgia; BMBF, HGF, and MPG, Germany; GSRT, Greece; RGC, Hong Kong SAR, China; ISF, I-CORE and Benoziyo Center, Israel; INFN, Italy; MEXT and JSPS, Japan; CNRST, Morocco; FOM and NWO, Netherlands; RCN, Norway; MNiSW and NCN, Poland; FCT, Portugal; MNE/IFA, Romania; MES of Russia and NRC KI, Russian Federation; JINR; MESTD, Serbia; MSSR, Slovakia; ARRS and MIZS, Slovenia; DST/NRF, South Africa; MINECO, Spain; SRC and Wallenberg Foundation, Sweden; SERI, SNSF and Cantons of Bern and Geneva, Switzerland; MOST, Taiwan; TAEK, Turkey; STFC, United Kingdom; DOE and NSF, United States of America. In addition, individual groups and members have received support from BCKDF, the Canada Council, CANARIE, CRC, Compute Canada, FQRNT, and the Ontario Innovation Trust, Canada; EPLANET, ERC, FP7, Horizon 2020 and Marie Sklodowska-Curie Actions, European Union; Investissements d’Avenir Labex and Idex, ANR, Région Auvergne and Fondation Partager le Savoir, France; DFG and AvH Foundation, Germany; Herakleitos, Thales and Aristeia programmes co-financed by EU-ESF and the Greek NSRF; BSF, GIF and Minerva, Israel; BRF, Norway; Generalitat de Catalunya, Generalitat Valenciana, Spain; the Royal Society and Leverhulme Trust, United Kingdom Measurements of the jet activity in tt¯ events produced in proton-proton collisions at √ s = 8 TeV are presented, using 20.3 fb−1 of data collected by the ATLAS experiment at the Large Hadron Collider. The events were selected in the dilepton eµ decay channel with two identified b-jets. The numbers of additional jets for various jet transverse momentum (pT) thresholds, and the normalised differential cross-sections as a function of pT for the five highest-pT additional jets, were measured in the jet pseudorapidity range |η| < 4.5. The gap fraction, the fraction of events which do not contain an additional jet in a central rapidity region, was measured for several rapidity intervals as a function of the minimum pT of a single jet or the scalar sum of pT of all additional jets. These fractions were also measured in different intervals of the invariant mass of the eµb¯b system. All measurements were corrected for detector effects, and found to be mostly well-described by predictions from next-to-leading-order and leading-order tt¯ event generators with appropriate parameter choices. The results can be used to further optimise the parameters used in such generators Artículo escrito por muchos autores, sólo se referencian el que aparece en primer lugar, el nombre del grupo de colaboración y los autores que firman como pertenecientes a la UAM Journal of High Energy Physics 2016.9 (2016): 074 reproduced by permission of Scuola Internazionale Superiore di Studi Avanzati (SISSA)

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    Biblos-e Archivo
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      Biblos-e Archivo
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    Authors: CMS Collaboration; Canelli, M F; Chiochia, V; Kilminster, B; +2 Authors
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    Authors: ATLAS Collaboration;

    A search for heavy long-lived scalar leptons (sleptons) through a measurement of themass of slepton candidates is presented in this note. The search is performed on a datasample of 15.9 fb􀀀1 of proton-proton collisions at a centre-of-mass energyps = 8 TeVcollected by the ATLAS detector at the LHC in 2012. Such sleptons are expected to interactas if they were heavy muons, charged and penetrating. Their mass is estimated from ameasurement of their speed, , and their momentum, p, using the relation m = p=, basedon their interactions in the inner detector, the calorimeters and the muon spectrometer. Noexcess is observed above the estimated background. Results are interpreted in the contextof gauge-mediated supersymmetry breaking (GMSB) models where the ˜1, supersymmetricpartner of the lepton, is the next to lightest supersymmetric particle and decays outside theATLAS volume. Lower limits, at 95% confidence level, are set on the mass of the long-livedsleptons. Long-lived ˜1s in the GMSB model considered are excluded at 95% confidencelevel at masses below 425–385 GeV, for tan =5–50. Exclusion limits on the ˜1 mass up to395 (365) GeV are set in the hypothesis that ˜1 are produced directly or via light slepton (˜e,˜) pair production, assuming a mass splittings between light slepton and stau of 1 (90) GeV.In decoupled scenarios, where ˜1 pair production is the only SUSY signature, exclusionlimits up to 327 GeV are set on the ˜1 mass. Finally, indirect constraints are placed on themass of charginos and neutralinos.

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    Authors: La Rosa, Alessandro;

    The High Luminosity Large Hadron Collider (HL-LHC) at CERN is expected to collide protons at a centre-of-mass energy of 14\,TeV and to reach the unprecedented peak instantaneous luminosity of 5\,$-$\,7.5\,x\,$10^{34}$\,cm$^{-2}$s$^{-1}$ with an average number of pileup events of 140\,$-$\,200. This will allow the ATLAS and CMS experiments to collect integrated luminosities up to 3000\,$-$\,4000\,fb$^{-1}$ during the project lifetime. To cope with this extreme scenario the CMS detector will be substantially upgraded before starting the HL-LHC, with a plan known as CMS Phase-2 upgrade. The CMS Tracker detector will have to be replaced in order to fully exploit the delivered luminosity and cope with the demanding operating conditions. The new detector will provide robust tracking as well as input for the first level trigger. This paper is focused on the replacement of the CMS Outer Tracker system, describing the new layout and the technological choices together with some highlights of module assembly and quality assurance aspects. Comment: 9 pages, 8 figures, accepted for publication in JINST as proceeding for IPRD2019 (15th Topical Seminar on Innovative Particle and Radiation Detectors) conference

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    CERN Document Server
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    Journal of Instrumentation
    Article . 2020 . Peer-reviewed
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    https://doi.org/10.48550/arxiv...
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      Journal of Instrumentation
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    Authors: Rott, C.; IceCube Collaboration;
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    Authors: CMS Collaboration; Collaboration, CMS;
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    Authors: Schmidke, W. B.;

    Leading baryon measurements from the H1 and ZEUS collaborations are reported and compared to production models. A new study of the energy dependence of the photon-proton total cross section is also reported. Comment: Contributed to proceedings of ICHEP08. 4 pages, LaTeX, 8 eps figures

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    https://doi.org/10.48550/arxiv...
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    Authors: Pengfei Ding; Jie Zhang; Peng Zhang; Geng Li;
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    https://doi.org/10.1109/icac57...
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      https://doi.org/10.1109/icac57...
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    Authors: Eric C. Bellm; Colin J. Burke; Michael W. Coughlin; Igor Andreoni; +2 Authors

    The limiting temporal resolution of a time-domain survey in detecting transient behavior is set by the time between observations of the same sky area. We analyze the distribution of visit separations for a range of Vera C. Rubin Observatory cadence simulations. Current simulations are strongly peaked at the 22 minute visit pair separation and provide effectively no constraint on temporal evolution within the night. This choice will necessarily prevent Rubin from discovering a wide range of astrophysical phenomena in time to trigger rapid followup. We present a science-agnostic metric to supplement detailed simulations of fast-evolving transients and variables and suggest potential approaches for improving the range of timescales explored. 7 pages, 2 figures. Submitted to the ApJS Rubin Cadence Focus Issue

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    Article . 2022 . Peer-reviewed
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    The Astrophysical Journal Supplement Series
    Article . 2022 . Peer-reviewed
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    https://doi.org/10.48550/arxiv...
    Article . 2021
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      The Astrophysical Journal Supplement Series
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      https://doi.org/10.48550/arxiv...
      Article . 2021
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    Authors: Šustr, Zdeněk; Pospíšil, Petr;

    The C-SCALE project has been federating compute and data resource providers around centralized EGI services, aiming at providing users with seamless access to processing capacities as well as source data for their analyses. Alongside the traditional IaaS and PaaS services, Jupyter Notebooks have been identified as an environment suitable not only for interactive analysis within C-SCALE, but also for documenting the different steps one needs to take in discovering and accessing geospatial data across Europe. The demonstration of C-SCALE's example notebooks and procedures will focus on those essential features: simple steps to get started using the federated resources for interactive resources of Earth observation data.

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    Authors: Belle Collaboration; Bodrov, D.; Pakhlov, P.; Adachi, I.; +191 Authors

    We present the first measurement of the Michel parameter $\xi^\prime$ in the $\tau^-\to\mu^-\bar{\nu}_\mu\nu_\tau$ decay using the full data sample of $988\,\text{fb}^{-1}$ collected by the Belle detector operating at the KEKB asymmetric energy $e^+ e^-$ collider. The method is based on the reconstruction of the $\mu^- \to e^- \bar{\nu}_e\nu_\mu$ decay-in-flight in the Belle central drift chamber and relies on the correlation between muon spin and its daughter electron momentum. We study the main sources of the background that can imitate the signal decay, such as kaon and pion decays-in-flight and charged particle scattering on the detector material. Highly efficient methods of their suppression are developed and applied to select 165 signal-candidate events. We obtain $\xi^\prime=0.22\pm0.94\pm0.42$ where the first uncertainty is statistical, and the second one is systematic. The result is in agreement with the Standard Model prediction of $\xi^\prime=1$. Comment: 16 pages, 14 figures, published in Phys. Rev. D

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    Authors: ATLAS Collaboration;

    The differential top-quark pair production cross-section is presented in terms ofa top-quark proxy observable referred to as the pseudo-top-quark whose dependenceon theoretical models is minimal. The pseudo-top-quark observable is defined bothin terms of reconstructed objects and stable particles. The measurements are performedon t ¯t events in the lepton+jets channel, requiring exactly one lepton and atleast four jets with at least two of them tagged as originating from a b-quark. Themeasurements are performed for hadronic and leptonic pseudo-top-quarks, definedby the W boson decays, in the single lepton channel and as a combination of leptonchannels. The dataset corresponds to an integrated luminosity of 4.6 fb−1 of protonprotoncollisions at √s = 7 TeV collected by the ATLAS detector at the LHC. Theproduction cross-section is measured as a function of the transverse momentum andrapidity of the hadronic or leptonic pseudo-top-quark as well as the transverse momentum,rapidity and invariant mass of the pseudo-top-quark pair system. The measurementsare shown after corrections for detector effects and are presented withina kinematic range that closely matches the detector acceptance. Differential crosssectionmeasurements of the pseudo-top-quark variables are compared with severalcurrent Monte Carlo models that implement next-to-leading order or leading ordermulti-leg matrix element calculations.

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    Authors: Georges Aad; Baptiste Abeloos; Syed Haider Abidi; Bobby Samir Acharya; +953 Authors

    We thank CERN for the very successful operation of the LHC, as well as the support staff from our institutions without whom ATLAS could not be operated efficiently. We acknowledge the support of ANPCyT, Argentina; YerPhI, Armenia; ARC, Australia; BMWFW and FWF, Austria; ANAS, Azerbaijan; SSTC, Belarus; CNPq and FAPESP, Brazil; NSERC, NRC and CFI, Canada; CERN; CONICYT, Chile; CAS, MOST and NSFC, China; COLCIENCIAS, Colombia; MSMT CR, MPO CR and VSC CR, Czech Republic; DNRF and DNSRC, Denmark; IN2P3-CNRS, CEA-DRF/IRFU, France; SRNSFG, Georgia; BMBF, HGF, and MPG, Germany; GSRT, Greece; RGC, Hong Kong SAR, China; ISF and Benoziyo Center, Israel; INFN, Italy; MEXT and JSPS, Japan; CNRST, Morocco; NWO, Netherlands; RCN, Norway; MNiSW and NCN, Poland; FCT, Portugal; MNE/IFA, Romania; MES of Russia and NRC KI, Russian Federation; JINR; MESTD, Serbia; MSSR, Slovakia; ARRS and MIZS, Slovenia; DST/NRF, South Africa; MINECO, Spain; SRC and Wallenberg Foundation, Sweden; SERI, SNSF and Cantons of Bern and Geneva, Switzerland; MOST, Taiwan; TAEK, Turkey; STFC, United Kingdom; DOE and NSF, United States of America. In addition, individual groups and members have received support from BCKDF, CANARIE, CRC and Compute Canada, Canada; COST, ERC, ERDF, Horizon 2020, and Marie Sklodowska-Curie Actions, European Union; Investissements d' Avenir Labex and Idex, ANR, France; DFG and AvH Foundation, Germany; Herakleitos, Thales and Aristeia programmes co-financed by EU-ESF and the Greek NSRF, Greece; BSF-NSF and GIF, Israel; CERCA Programme Generalitat de Catalunya, Spain; The Royal Society and Leverhulme Trust, United Kingdom. The crucial computing support from all WLCG partners is acknowledged gratefully, in particular from CERN, the ATLAS Tier-1 facilities at TRIUMF (Canada), NDGF(Denmark, Norway, Sweden), CC-IN2P3 (France), KIT/GridKA (Germany), INFN-CNAF (Italy), NL-T1 (Netherlands), PIC (Spain), ASGC (Taiwan), RAL (UK) and BNL (USA), the Tier-2 facilities worldwide and large non-WLCG resource providers. Major contributors of comp Measurements of the azimuthal anisotropy in lead–lead collisions at sNN−−−√ = 5.02 TeV are presented using a data sample corresponding to 0.49 nb−1 integrated luminosity collected by the ATLAS experiment at the LHC in 2015. The recorded minimum-bias sample is enhanced by triggers for “ultra-central” collisions, providing an opportunity to perform detailed study of flow harmonics in the regime where the initial state is dominated by fluctuations. The anisotropy of the charged-particle azimuthal angle distributions is characterized by the Fourier coefficients, v2–v7, which are measured using the two-particle correlation, scalar-product and event-plane methods. The goal of the paper is to provide measurements of the differential as well as integrated flow harmonics vn over wide ranges of the transverse momentum, 0.5

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    CERN Document Server
    Other literature type . 2018
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    Repositório Comum
    Article . 2018 . Peer-reviewed
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    https://doi.org/10.48550/arxiv...
    Article . 2018
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    Authors: Park, Ji Won; Birrer, Simon; Ueland, Madison; Cranmer, Miles; +5 Authors

    We present a Bayesian graph neural network (BGNN) that can estimate the weak lensing convergence ($\kappa$) from photometric measurements of galaxies along a given line of sight. The method is of particular interest in strong gravitational time delay cosmography (TDC), where characterizing the "external convergence" ($\kappa_{\rm ext}$) from the lens environment and line of sight is necessary for precise inference of the Hubble constant ($H_0$). Starting from a large-scale simulation with a $\kappa$ resolution of $\sim$1$'$, we introduce fluctuations on galaxy-galaxy lensing scales of $\sim$1$''$ and extract random sightlines to train our BGNN. We then evaluate the model on test sets with varying degrees of overlap with the training distribution. For each test set of 1,000 sightlines, the BGNN infers the individual $\kappa$ posteriors, which we combine in a hierarchical Bayesian model to yield constraints on the hyperparameters governing the population. For a test field well sampled by the training set, the BGNN recovers the population mean of $\kappa$ precisely and without bias, resulting in a contribution to the $H_0$ error budget well under 1\%. In the tails of the training set with sparse samples, the BGNN, which can ingest all available information about each sightline, extracts more $\kappa$ signal compared to a simplified version of the traditional method based on matching galaxy number counts, which is limited by sample variance. Our hierarchical inference pipeline using BGNNs promises to improve the $\kappa_{\rm ext}$ characterization for precision TDC. The implementation of our pipeline is available as a public Python package, Node to Joy. Comment: 15 pages, 8 figures (+ 6 pages, 2 figures in Appendix). Submitted to ApJ. Code at https://github.com/jiwoncpark/node-to-joy

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    https://doi.org/10.48550/arxiv...
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      https://doi.org/10.48550/arxiv...
      Article . 2022
      License: CC BY
      Data sources: Datacite
  • image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    Authors: Gkonis, P. K.; Athanaileas, T. E.; Tsoulos, G. V.; Athanasiadou, G. E.; +1 Authors

    The goal of the study presented in this paper is the accurate performance evaluation of adaptive beam-centric admission control (AC) for wideband code-division multiple access (WCDMA) multicell networks with non-uniform traffic requirements. Each NodeB employs antenna arrays (AAs), used either to form fixed grids of beams (FGoBs), or to steer and shape multiple beams towards directions of increased traffic, in an adaptive manner. The adaptive beam-centric AC maximizes the cell throughput in a multirate/multicell environment by grouping as many users as possible under a common beam formed by the AA, taking into account their spatial distribution and overall interference. Due to the increased complexity of the Monte Carlo (MC) simulations, a novel grid-enabled problem solving environment has been developed in order to reduce execution times considerably and make feasible full scale extensive simulations of complex operational scenarios (up to 4 tiers of cells, multiple beams per cell, non-uniform traffic distributions with different spatial characteristics). Results show that the network with the adaptive beam-centric AC can achieve significantly higher throughput per beam in multirate/multicell environments with hotspots. In particular, it is shown that the throughput per beam gain depends exponentially on the number of hotspots per cell and their angular width, and gains up to 200/350/700% can be achieved with 1/2/3 hotspots, respectively. Moreover, it is shown that the adaptive beam-centric AC provides significant reduction in interbeam handovers, which leads to more available resources in downlink, reduced signaling requirements and easier network planning.

    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Wireless Personal Co...arrow_drop_down
    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    Wireless Personal Communications
    Article . 2009 . Peer-reviewed
    License: Springer TDM
    Data sources: Crossref
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      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Wireless Personal Co...arrow_drop_down