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Träfflista för sökning "WFRF:(Sekmen Sezen) srt2:(2022)"

Sökning: WFRF:(Sekmen Sezen) > (2022)

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1.
  • Aarrestad, Thea, et al. (författare)
  • Benchmark data and model independent event classification for the large hadron collider
  • 2022
  • Ingår i: SciPost Physics. - 2542-4653. ; 12:1
  • Tidskriftsartikel (refereegranskat)abstract
    • We describe the outcome of a data challenge conducted as part of the Dark Machines (https://www.darkmachines.org) initiative and the Les Houches 2019 workshop on Physics at TeV colliders. The challenged aims to detect signals of new physics at the Large Hadron Collider (LHC) using unsupervised machine learning algorithms. First, we propose how an anomaly score could be implemented to define model-independent signal regions in LHC searches. We define and describe a large benchmark dataset, consisting of > 1 billion simulated LHC events corresponding to 10 fb−1 of proton-proton collisions at a center-of-mass energy of 13 TeV. We then review a wide range of anomaly detection and density estimation algorithms, developed in the context of the data challenge, and we measure their performance in a set of realistic analysis environments. We draw a number of useful conclusions that will aid the development of unsupervised new physics searches during the third run of the LHC, and provide our benchmark dataset for future studies at https://www.phenoMLdata.org. Code to reproduce the analysis is provided at https://github.com/bostdiek/DarkMachines-UnsupervisedChallenge.
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2.
  • Cranmer, Kyle, et al. (författare)
  • Publishing statistical models : Getting the most out of particle physics experiments
  • 2022
  • Ingår i: SciPost Physics. - 2542-4653. ; 12:1
  • Tidskriftsartikel (refereegranskat)abstract
    • The statistical models used to derive the results of experimental analyses are of incredible scientific value and are essential information for analysis preservation and reuse. In this paper, we make the scientific case for systematically publishing the full statistical models and discuss the technical developments that make this practical. By means of a variety of physics cases - including parton distribution functions, Higgs boson measurements, effective field theory interpretations, direct searches for new physics, heavy flavor physics, direct dark matter detection, world averages, and beyond the Standard Model global fits - we illustrate how detailed information on the statistical modelling can enhance the short- and long-term impact of experimental results. 
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