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Träfflista för sökning "hsv:(NATURVETENSKAP) hsv:(Fysik) hsv:(Subatomär fysik) ;pers:(Bohm Christian)"

Sökning: hsv:(NATURVETENSKAP) hsv:(Fysik) hsv:(Subatomär fysik) > Bohm Christian

  • Resultat 1-10 av 994
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1.
  • Aad, G., et al. (författare)
  • 2014
  • Ingår i: Journal of High Energy Physics. - 1029-8479 .- 1126-6708. ; :9, s. 1-61
  • Tidskriftsartikel (refereegranskat)
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2.
  • Aad, G, et al. (författare)
  • 2014
  • Ingår i: Physical Review Letters. - 1079-7114 .- 0031-9007. ; 113:17
  • Tidskriftsartikel (refereegranskat)
  •  
3.
  • Aartsen, M. G., et al. (författare)
  • Computational techniques for the analysis of small signals in high-statistics neutrino oscillation experiments
  • 2020
  • Ingår i: Nuclear Instruments and Methods in Physics Research Section A. - : Elsevier BV. - 0168-9002 .- 1872-9576. ; 977
  • Tidskriftsartikel (refereegranskat)abstract
    • The current and upcoming generation of Very Large Volume Neutrino Telescopes - collecting unprecedented quantities of neutrino events - can be used to explore subtle effects in oscillation physics, such as (but not restricted to) the neutrino mass ordering. The sensitivity of an experiment to these effects can be estimated from Monte Carlo simulations. With the high number of events that will be collected, there is a trade-off between the computational expense of running such simulations and the inherent statistical uncertainty in the determined values. In such a scenario, it becomes impractical to produce and use adequately-sized sets of simulated events with traditional methods, such as Monte Carlo weighting. In this work we present a staged approach to the generation of expected distributions of observables in order to overcome these challenges. By combining multiple integration and smoothing techniques which address limited statistics from simulation it arrives at reliable analysis results using modest computational resources.
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4.
  • Milstead, David A., et al. (författare)
  • Study of the material of the ATLAS inner detector for Run 2 of the LHC
  • 2017
  • Ingår i: Journal of Instrumentation. - : Institute of Physics (IOP). - 1748-0221. ; 12:12
  • Tidskriftsartikel (refereegranskat)abstract
    • The ATLAS inner detector comprises three different sub-detectors: the pixel detector, the silicon strip tracker, and the transition-radiation drift-tube tracker. The Insertable B-Layer, a new innermost pixel layer, was installed during the shutdown period in 2014, together with modifications to the layout of the cables and support structures of the existing pixel detector. The material in the inner detector is studied with several methods, using a low-luminosity s=13 TeV pp collision sample corresponding to around 2.0 nb-1 collected in 2015 with the ATLAS experiment at the LHC. In this paper, the material within the innermost barrel region is studied using reconstructed hadronic interaction and photon conversion vertices. For the forward rapidity region, the material is probed by a measurement of the efficiency with which single tracks reconstructed from pixel detector hits alone can be extended with hits on the track in the strip layers. The results of these studies have been taken into account in an improved description of the material in the ATLAS inner detector simulation, resulting in a reduction in the uncertainties associated with the charged-particle reconstruction efficiency determined from simulation. © 2017 CERN.
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5.
  • Aad, G., et al. (författare)
  • 2015
  • Tidskriftsartikel (refereegranskat)
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7.
  • Aad, G., et al. (författare)
  • Identification and energy calibration of hadronically decaying tau leptons with the ATLAS experiment in pp collisions at root s=8 TeV
  • 2015
  • Ingår i: European Physical Journal C. Particles and Fields. - : Springer Science and Business Media LLC. - 1434-6044 .- 1434-6052. ; 75:7
  • Tidskriftsartikel (refereegranskat)abstract
    • This paper describes the trigger and offline reconstruction, identification and energy calibration algorithms for hadronic decays of tau leptons employed for the data collected from pp collisions in 2012 with the ATLAS detector at the LHC center-of-mass energy root s = 8 TeV. The performance of these algorithms is measured in most cases with Z decays to tau leptons using the full 2012 dataset, corresponding to an integrated luminosity of 20.3 fb(-1). An uncertainty on the offline reconstructed tau energy scale of 2-4%, depending on transverse energy and pseudorapidity, is achieved using two independent methods. The offline tau identification efficiency is measured with a precision of 2.5% for hadronically decaying tau leptons with one associated track, and of 4% for the case of three associated tracks, inclusive in pseudorapidity and for a visible transverse energy greater than 20 GeV. For hadronic tau lepton decays selected by offline algorithms, the tau trigger identification efficiency is measured with a precision of 2-8%, depending on the transverse energy. The performance of the tau algorithms, both offline and at the trigger level, is found to be stable with respect to the number of concurrent proton-proton interactions and has supported a variety of physics results using hadronically decaying tau leptons at ATLAS.
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