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Träfflista för sökning "WFRF:(Lua F.) "

Sökning: WFRF:(Lua F.)

  • Resultat 1-10 av 11
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  • Aad, G., et al. (författare)
  • 2012
  • swepub:Mat__t (refereegranskat)
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  • Aad, G., et al. (författare)
  • 2012
  • swepub:Mat__t (refereegranskat)
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  • Aad, G., et al. (författare)
  • 2012
  • swepub:Mat__t (refereegranskat)
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  • Aad, G., et al. (författare)
  • 2013
  • Tidskriftsartikel (refereegranskat)
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  • 2011
  • swepub:Mat__t
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7.
  • Aad, G., et al. (författare)
  • 2012
  • Tidskriftsartikel (refereegranskat)
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  • Aad, G., et al. (författare)
  • 2012
  • Tidskriftsartikel (refereegranskat)
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9.
  • Aad, G., et al. (författare)
  • Commissioning of the ATLAS Muon Spectrometer with cosmic rays
  • 2010
  • Ingår i: European Physical Journal C. Particles and Fields. - : Springer Science and Business Media LLC. - 1434-6044 .- 1434-6052. ; 70:3, s. 875-916
  • Tidskriftsartikel (refereegranskat)abstract
    • The ATLAS detector at the Large Hadron Collider has collected several hundred million cosmic ray events during 2008 and 2009. These data were used to commission the Muon Spectrometer and to study the performance of the trigger and tracking chambers, their alignment, the detector control system, the data acquisition and the analysis programs. We present the performance in the relevant parameters that determine the quality of the muon measurement. We discuss the single element efficiency, resolution and noise rates, the calibration method of the detector response and of the alignment system, the track reconstruction efficiency and the momentum measurement. The results show that the detector is close to the design performance and that the Muon Spectrometer is ready to detect muons produced in high energy proton-proton collisions.
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10.
  • Grossmann, Igor, et al. (författare)
  • Insights into the accuracy of social scientists' forecasts of societal change
  • 2023
  • Ingår i: Nature Human Behaviour. - : Springer Nature. - 2397-3374. ; 7, s. 484-501
  • Tidskriftsartikel (refereegranskat)abstract
    • How well can social scientists predict societal change, and what processes underlie their predictions? To answer these questions, we ran two forecasting tournaments testing the accuracy of predictions of societal change in domains commonly studied in the social sciences: ideological preferences, political polarization, life satisfaction, sentiment on social media, and gender-career and racial bias. After we provided them with historical trend data on the relevant domain, social scientists submitted pre-registered monthly forecasts for a year (Tournament 1; N = 86 teams and 359 forecasts), with an opportunity to update forecasts on the basis of new data six months later (Tournament 2; N = 120 teams and 546 forecasts). Benchmarking forecasting accuracy revealed that social scientists' forecasts were on average no more accurate than those of simple statistical models (historical means, random walks or linear regressions) or the aggregate forecasts of a sample from the general public (N = 802). However, scientists were more accurate if they had scientific expertise in a prediction domain, were interdisciplinary, used simpler models and based predictions on prior data. How accurate are social scientists in predicting societal change, and what processes underlie their predictions? Grossmann et al. report the findings of two forecasting tournaments. Social scientists' forecasts were on average no more accurate than those of simple statistical models.
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